Commit
•
a2be492
1
Parent(s):
81d399b
Upload folder using huggingface_hub
Browse files- README.md +21 -0
- added_tokens.json +40 -0
- config.json +91 -0
- model.safetensors +3 -0
- model.safetensors.index.json +714 -0
- quant_strategy.json +1668 -0
- special_tokens_map.json +33 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +351 -0
README.md
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
tags:
|
4 |
+
- mlx
|
5 |
+
---
|
6 |
+
|
7 |
+
# GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.2-mlx
|
8 |
+
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.2`]().
|
9 |
+
Refer to the [original model card](https://huggingface.co/GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.2) for more details on the model.
|
10 |
+
## Use with mlx
|
11 |
+
|
12 |
+
```bash
|
13 |
+
pip install gbx-lm
|
14 |
+
```
|
15 |
+
|
16 |
+
```python
|
17 |
+
from gbx_lm import load, generate
|
18 |
+
|
19 |
+
model, tokenizer = load("GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.2-mlx")
|
20 |
+
response = generate(model, tokenizer, prompt="hello", verbose=True)
|
21 |
+
```
|
added_tokens.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|/code|>": 32014,
|
3 |
+
"<|/data|>": 32033,
|
4 |
+
"<|/inst|>": 32037,
|
5 |
+
"<|/query|>": 32031,
|
6 |
+
"<|/sys|>": 32035,
|
7 |
+
"<|assistant_mask|>": 32017,
|
8 |
+
"<|assistant|>": 32001,
|
9 |
+
"<|calc|>": 32012,
|
10 |
+
"<|code|>": 32013,
|
11 |
+
"<|continue|>": 32009,
|
12 |
+
"<|data|>": 32032,
|
13 |
+
"<|diff_marker|>": 32025,
|
14 |
+
"<|disc_sep|>": 32029,
|
15 |
+
"<|disc_start|>": 32028,
|
16 |
+
"<|disc_thread|><|query|>": 32030,
|
17 |
+
"<|endoftext|>": 32000,
|
18 |
+
"<|end|>": 32007,
|
19 |
+
"<|fim_middle|>": 32021,
|
20 |
+
"<|fim_prefix|>": 32020,
|
21 |
+
"<|fim_suffix|>": 32022,
|
22 |
+
"<|function_call|>": 32005,
|
23 |
+
"<|function_list|>": 32011,
|
24 |
+
"<|function_output|>": 32003,
|
25 |
+
"<|ghissue|>": 32026,
|
26 |
+
"<|ghreview|>": 32027,
|
27 |
+
"<|inst|>": 32036,
|
28 |
+
"<|ipynb_marker|>": 32024,
|
29 |
+
"<|message|>": 32019,
|
30 |
+
"<|meta_start|>": 32023,
|
31 |
+
"<|raw|>": 32008,
|
32 |
+
"<|resource|>": 32016,
|
33 |
+
"<|start|>": 32018,
|
34 |
+
"<|step|>": 32002,
|
35 |
+
"<|summary|>": 32015,
|
36 |
+
"<|system|>": 32006,
|
37 |
+
"<|sys|>": 32034,
|
38 |
+
"<|tag|>": 32004,
|
39 |
+
"<|user|>": 32010
|
40 |
+
}
|
config.json
ADDED
@@ -0,0 +1,91 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_cross_attention": false,
|
3 |
+
"architectures": [
|
4 |
+
"Phi3ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"auto_map": {
|
8 |
+
"AutoConfig": "configuration_phi3.Phi3Config",
|
9 |
+
"AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
|
10 |
+
},
|
11 |
+
"bad_words_ids": null,
|
12 |
+
"begin_suppress_tokens": null,
|
13 |
+
"bos_token_id": 1,
|
14 |
+
"chunk_size_feed_forward": 0,
|
15 |
+
"cross_attention_hidden_size": null,
|
16 |
+
"decoder_start_token_id": null,
|
17 |
+
"diversity_penalty": 0.0,
|
18 |
+
"do_sample": false,
|
19 |
+
"early_stopping": false,
|
20 |
+
"embd_pdrop": 0.0,
|
21 |
+
"encoder_no_repeat_ngram_size": 0,
|
22 |
+
"eos_token_id": 32000,
|
23 |
+
"exponential_decay_length_penalty": null,
|
24 |
+
"finetuning_task": null,
|
25 |
+
"forced_bos_token_id": null,
|
26 |
+
"forced_eos_token_id": null,
|
27 |
+
"hidden_act": "silu",
|
28 |
+
"hidden_size": 3072,
|
29 |
+
"id2label": {
|
30 |
+
"0": "LABEL_0",
|
31 |
+
"1": "LABEL_1"
|
32 |
+
},
|
33 |
+
"initializer_range": 0.02,
|
34 |
+
"intermediate_size": 8192,
|
35 |
+
"is_decoder": false,
|
36 |
+
"is_encoder_decoder": false,
|
37 |
+
"label2id": {
|
38 |
+
"LABEL_0": 0,
|
39 |
+
"LABEL_1": 1
|
40 |
+
},
|
41 |
+
"length_penalty": 1.0,
|
42 |
+
"max_length": 20,
|
43 |
+
"max_position_embeddings": 4096,
|
44 |
+
"min_length": 0,
|
45 |
+
"model_type": "phi3",
|
46 |
+
"no_repeat_ngram_size": 0,
|
47 |
+
"num_attention_heads": 32,
|
48 |
+
"num_beam_groups": 1,
|
49 |
+
"num_beams": 1,
|
50 |
+
"num_hidden_layers": 32,
|
51 |
+
"num_key_value_heads": 32,
|
52 |
+
"num_return_sequences": 1,
|
53 |
+
"original_max_position_embeddings": 4096,
|
54 |
+
"output_attentions": false,
|
55 |
+
"output_hidden_states": false,
|
56 |
+
"output_scores": false,
|
57 |
+
"pad_token_id": 32000,
|
58 |
+
"prefix": null,
|
59 |
+
"problem_type": null,
|
60 |
+
"pruned_heads": {},
|
61 |
+
"quantization": {
|
62 |
+
"group_size": null,
|
63 |
+
"bits": null
|
64 |
+
},
|
65 |
+
"remove_invalid_values": false,
|
66 |
+
"repetition_penalty": 1.0,
|
67 |
+
"resid_pdrop": 0.0,
|
68 |
+
"return_dict": true,
|
69 |
+
"return_dict_in_generate": false,
|
70 |
+
"rms_norm_eps": 1e-05,
|
71 |
+
"rope_scaling": null,
|
72 |
+
"rope_theta": 10000.0,
|
73 |
+
"sep_token_id": null,
|
74 |
+
"sliding_window": 2047,
|
75 |
+
"suppress_tokens": null,
|
76 |
+
"task_specific_params": null,
|
77 |
+
"temperature": 1.0,
|
78 |
+
"tf_legacy_loss": false,
|
79 |
+
"tie_encoder_decoder": false,
|
80 |
+
"tie_word_embeddings": false,
|
81 |
+
"tokenizer_class": null,
|
82 |
+
"top_k": 50,
|
83 |
+
"top_p": 1.0,
|
84 |
+
"torch_dtype": "float16",
|
85 |
+
"torchscript": false,
|
86 |
+
"transformers_version": "4.39.0.dev0",
|
87 |
+
"typical_p": 1.0,
|
88 |
+
"use_bfloat16": false,
|
89 |
+
"use_cache": true,
|
90 |
+
"vocab_size": 32064
|
91 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:09ba476768cf949ebdf2cc69b313479b604bad0a55d0455a3fbe441a74c851e8
|
3 |
+
size 1583535466
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,714 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 1583454208
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.channel_scale": "model.safetensors",
|
10 |
+
"model.layers.0.mlp.down_proj.q_perm": "model.safetensors",
|
11 |
+
"model.layers.0.mlp.down_proj.qweight": "model.safetensors",
|
12 |
+
"model.layers.0.mlp.down_proj.scales": "model.safetensors",
|
13 |
+
"model.layers.0.mlp.down_proj.zeros": "model.safetensors",
|
14 |
+
"model.layers.0.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
15 |
+
"model.layers.0.mlp.gate_up_proj.q_perm": "model.safetensors",
|
16 |
+
"model.layers.0.mlp.gate_up_proj.qweight": "model.safetensors",
|
17 |
+
"model.layers.0.mlp.gate_up_proj.scales": "model.safetensors",
|
18 |
+
"model.layers.0.mlp.gate_up_proj.zeros": "model.safetensors",
|
19 |
+
"model.layers.0.post_attention_layernorm.weight": "model.safetensors",
|
20 |
+
"model.layers.0.self_attn.o_proj.channel_scale": "model.safetensors",
|
21 |
+
"model.layers.0.self_attn.o_proj.q_perm": "model.safetensors",
|
22 |
+
"model.layers.0.self_attn.o_proj.qweight": "model.safetensors",
|
23 |
+
"model.layers.0.self_attn.o_proj.scales": "model.safetensors",
|
24 |
+
"model.layers.0.self_attn.o_proj.zeros": "model.safetensors",
|
25 |
+
"model.layers.0.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
26 |
+
"model.layers.0.self_attn.qkv_proj.q_perm": "model.safetensors",
|
27 |
+
"model.layers.0.self_attn.qkv_proj.qweight": "model.safetensors",
|
28 |
+
"model.layers.0.self_attn.qkv_proj.scales": "model.safetensors",
|
29 |
+
"model.layers.0.self_attn.qkv_proj.zeros": "model.safetensors",
|
30 |
+
"model.layers.1.input_layernorm.weight": "model.safetensors",
|
31 |
+
"model.layers.1.mlp.down_proj.channel_scale": "model.safetensors",
|
32 |
+
"model.layers.1.mlp.down_proj.q_perm": "model.safetensors",
|
33 |
+
"model.layers.1.mlp.down_proj.qweight": "model.safetensors",
|
34 |
+
"model.layers.1.mlp.down_proj.scales": "model.safetensors",
|
35 |
+
"model.layers.1.mlp.down_proj.zeros": "model.safetensors",
|
36 |
+
"model.layers.1.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
37 |
+
"model.layers.1.mlp.gate_up_proj.q_perm": "model.safetensors",
|
38 |
+
"model.layers.1.mlp.gate_up_proj.qweight": "model.safetensors",
|
39 |
+
"model.layers.1.mlp.gate_up_proj.scales": "model.safetensors",
|
40 |
+
"model.layers.1.mlp.gate_up_proj.zeros": "model.safetensors",
|
41 |
+
"model.layers.1.post_attention_layernorm.weight": "model.safetensors",
|
42 |
+
"model.layers.1.self_attn.o_proj.channel_scale": "model.safetensors",
|
43 |
+
"model.layers.1.self_attn.o_proj.q_perm": "model.safetensors",
|
44 |
+
"model.layers.1.self_attn.o_proj.qweight": "model.safetensors",
|
45 |
+
"model.layers.1.self_attn.o_proj.scales": "model.safetensors",
|
46 |
+
"model.layers.1.self_attn.o_proj.zeros": "model.safetensors",
|
47 |
+
"model.layers.1.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
48 |
+
"model.layers.1.self_attn.qkv_proj.q_perm": "model.safetensors",
|
49 |
+
"model.layers.1.self_attn.qkv_proj.qweight": "model.safetensors",
|
50 |
+
"model.layers.1.self_attn.qkv_proj.scales": "model.safetensors",
|
51 |
+
"model.layers.1.self_attn.qkv_proj.zeros": "model.safetensors",
|
52 |
+
"model.layers.10.input_layernorm.weight": "model.safetensors",
|
53 |
+
"model.layers.10.mlp.down_proj.channel_scale": "model.safetensors",
|
54 |
+
"model.layers.10.mlp.down_proj.q_perm": "model.safetensors",
|
55 |
+
"model.layers.10.mlp.down_proj.qweight": "model.safetensors",
|
56 |
+
"model.layers.10.mlp.down_proj.scales": "model.safetensors",
|
57 |
+
"model.layers.10.mlp.down_proj.zeros": "model.safetensors",
|
58 |
+
"model.layers.10.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
59 |
+
"model.layers.10.mlp.gate_up_proj.q_perm": "model.safetensors",
|
60 |
+
"model.layers.10.mlp.gate_up_proj.qweight": "model.safetensors",
|
61 |
+
"model.layers.10.mlp.gate_up_proj.scales": "model.safetensors",
|
62 |
+
"model.layers.10.mlp.gate_up_proj.zeros": "model.safetensors",
|
63 |
+
"model.layers.10.post_attention_layernorm.weight": "model.safetensors",
|
64 |
+
"model.layers.10.self_attn.o_proj.channel_scale": "model.safetensors",
|
65 |
+
"model.layers.10.self_attn.o_proj.q_perm": "model.safetensors",
|
66 |
+
"model.layers.10.self_attn.o_proj.qweight": "model.safetensors",
|
67 |
+
"model.layers.10.self_attn.o_proj.scales": "model.safetensors",
|
68 |
+
"model.layers.10.self_attn.o_proj.zeros": "model.safetensors",
|
69 |
+
"model.layers.10.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
70 |
+
"model.layers.10.self_attn.qkv_proj.q_perm": "model.safetensors",
|
71 |
+
"model.layers.10.self_attn.qkv_proj.qweight": "model.safetensors",
|
72 |
+
"model.layers.10.self_attn.qkv_proj.scales": "model.safetensors",
|
73 |
+
"model.layers.10.self_attn.qkv_proj.zeros": "model.safetensors",
|
74 |
+
"model.layers.11.input_layernorm.weight": "model.safetensors",
|
75 |
+
"model.layers.11.mlp.down_proj.channel_scale": "model.safetensors",
|
76 |
+
"model.layers.11.mlp.down_proj.q_perm": "model.safetensors",
|
77 |
+
"model.layers.11.mlp.down_proj.qweight": "model.safetensors",
|
78 |
+
"model.layers.11.mlp.down_proj.scales": "model.safetensors",
|
79 |
+
"model.layers.11.mlp.down_proj.zeros": "model.safetensors",
|
80 |
+
"model.layers.11.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
81 |
+
"model.layers.11.mlp.gate_up_proj.q_perm": "model.safetensors",
|
82 |
+
"model.layers.11.mlp.gate_up_proj.qweight": "model.safetensors",
|
83 |
+
"model.layers.11.mlp.gate_up_proj.scales": "model.safetensors",
|
84 |
+
"model.layers.11.mlp.gate_up_proj.zeros": "model.safetensors",
|
85 |
+
"model.layers.11.post_attention_layernorm.weight": "model.safetensors",
|
86 |
+
"model.layers.11.self_attn.o_proj.channel_scale": "model.safetensors",
|
87 |
+
"model.layers.11.self_attn.o_proj.q_perm": "model.safetensors",
|
88 |
+
"model.layers.11.self_attn.o_proj.qweight": "model.safetensors",
|
89 |
+
"model.layers.11.self_attn.o_proj.scales": "model.safetensors",
|
90 |
+
"model.layers.11.self_attn.o_proj.zeros": "model.safetensors",
|
91 |
+
"model.layers.11.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
92 |
+
"model.layers.11.self_attn.qkv_proj.q_perm": "model.safetensors",
|
93 |
+
"model.layers.11.self_attn.qkv_proj.qweight": "model.safetensors",
|
94 |
+
"model.layers.11.self_attn.qkv_proj.scales": "model.safetensors",
|
95 |
+
"model.layers.11.self_attn.qkv_proj.zeros": "model.safetensors",
|
96 |
+
"model.layers.12.input_layernorm.weight": "model.safetensors",
|
97 |
+
"model.layers.12.mlp.down_proj.channel_scale": "model.safetensors",
|
98 |
+
"model.layers.12.mlp.down_proj.q_perm": "model.safetensors",
|
99 |
+
"model.layers.12.mlp.down_proj.qweight": "model.safetensors",
|
100 |
+
"model.layers.12.mlp.down_proj.scales": "model.safetensors",
|
101 |
+
"model.layers.12.mlp.down_proj.zeros": "model.safetensors",
|
102 |
+
"model.layers.12.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
103 |
+
"model.layers.12.mlp.gate_up_proj.q_perm": "model.safetensors",
|
104 |
+
"model.layers.12.mlp.gate_up_proj.qweight": "model.safetensors",
|
105 |
+
"model.layers.12.mlp.gate_up_proj.scales": "model.safetensors",
|
106 |
+
"model.layers.12.mlp.gate_up_proj.zeros": "model.safetensors",
|
107 |
+
"model.layers.12.post_attention_layernorm.weight": "model.safetensors",
|
108 |
+
"model.layers.12.self_attn.o_proj.channel_scale": "model.safetensors",
|
109 |
+
"model.layers.12.self_attn.o_proj.q_perm": "model.safetensors",
|
110 |
+
"model.layers.12.self_attn.o_proj.qweight": "model.safetensors",
|
111 |
+
"model.layers.12.self_attn.o_proj.scales": "model.safetensors",
|
112 |
+
"model.layers.12.self_attn.o_proj.zeros": "model.safetensors",
|
113 |
+
"model.layers.12.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
114 |
+
"model.layers.12.self_attn.qkv_proj.q_perm": "model.safetensors",
|
115 |
+
"model.layers.12.self_attn.qkv_proj.qweight": "model.safetensors",
|
116 |
+
"model.layers.12.self_attn.qkv_proj.scales": "model.safetensors",
|
117 |
+
"model.layers.12.self_attn.qkv_proj.zeros": "model.safetensors",
|
118 |
+
"model.layers.13.input_layernorm.weight": "model.safetensors",
|
119 |
+
"model.layers.13.mlp.down_proj.channel_scale": "model.safetensors",
|
120 |
+
"model.layers.13.mlp.down_proj.q_perm": "model.safetensors",
|
121 |
+
"model.layers.13.mlp.down_proj.qweight": "model.safetensors",
|
122 |
+
"model.layers.13.mlp.down_proj.scales": "model.safetensors",
|
123 |
+
"model.layers.13.mlp.down_proj.zeros": "model.safetensors",
|
124 |
+
"model.layers.13.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
125 |
+
"model.layers.13.mlp.gate_up_proj.q_perm": "model.safetensors",
|
126 |
+
"model.layers.13.mlp.gate_up_proj.qweight": "model.safetensors",
|
127 |
+
"model.layers.13.mlp.gate_up_proj.scales": "model.safetensors",
|
128 |
+
"model.layers.13.mlp.gate_up_proj.zeros": "model.safetensors",
|
129 |
+
"model.layers.13.post_attention_layernorm.weight": "model.safetensors",
|
130 |
+
"model.layers.13.self_attn.o_proj.channel_scale": "model.safetensors",
|
131 |
+
"model.layers.13.self_attn.o_proj.q_perm": "model.safetensors",
|
132 |
+
"model.layers.13.self_attn.o_proj.qweight": "model.safetensors",
|
133 |
+
"model.layers.13.self_attn.o_proj.scales": "model.safetensors",
|
134 |
+
"model.layers.13.self_attn.o_proj.zeros": "model.safetensors",
|
135 |
+
"model.layers.13.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
136 |
+
"model.layers.13.self_attn.qkv_proj.q_perm": "model.safetensors",
|
137 |
+
"model.layers.13.self_attn.qkv_proj.qweight": "model.safetensors",
|
138 |
+
"model.layers.13.self_attn.qkv_proj.scales": "model.safetensors",
|
139 |
+
"model.layers.13.self_attn.qkv_proj.zeros": "model.safetensors",
|
140 |
+
"model.layers.14.input_layernorm.weight": "model.safetensors",
|
141 |
+
"model.layers.14.mlp.down_proj.channel_scale": "model.safetensors",
|
142 |
+
"model.layers.14.mlp.down_proj.q_perm": "model.safetensors",
|
143 |
+
"model.layers.14.mlp.down_proj.qweight": "model.safetensors",
|
144 |
+
"model.layers.14.mlp.down_proj.scales": "model.safetensors",
|
145 |
+
"model.layers.14.mlp.down_proj.zeros": "model.safetensors",
|
146 |
+
"model.layers.14.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
147 |
+
"model.layers.14.mlp.gate_up_proj.q_perm": "model.safetensors",
|
148 |
+
"model.layers.14.mlp.gate_up_proj.qweight": "model.safetensors",
|
149 |
+
"model.layers.14.mlp.gate_up_proj.scales": "model.safetensors",
|
150 |
+
"model.layers.14.mlp.gate_up_proj.zeros": "model.safetensors",
|
151 |
+
"model.layers.14.post_attention_layernorm.weight": "model.safetensors",
|
152 |
+
"model.layers.14.self_attn.o_proj.channel_scale": "model.safetensors",
|
153 |
+
"model.layers.14.self_attn.o_proj.q_perm": "model.safetensors",
|
154 |
+
"model.layers.14.self_attn.o_proj.qweight": "model.safetensors",
|
155 |
+
"model.layers.14.self_attn.o_proj.scales": "model.safetensors",
|
156 |
+
"model.layers.14.self_attn.o_proj.zeros": "model.safetensors",
|
157 |
+
"model.layers.14.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
158 |
+
"model.layers.14.self_attn.qkv_proj.q_perm": "model.safetensors",
|
159 |
+
"model.layers.14.self_attn.qkv_proj.qweight": "model.safetensors",
|
160 |
+
"model.layers.14.self_attn.qkv_proj.scales": "model.safetensors",
|
161 |
+
"model.layers.14.self_attn.qkv_proj.zeros": "model.safetensors",
|
162 |
+
"model.layers.15.input_layernorm.weight": "model.safetensors",
|
163 |
+
"model.layers.15.mlp.down_proj.channel_scale": "model.safetensors",
|
164 |
+
"model.layers.15.mlp.down_proj.q_perm": "model.safetensors",
|
165 |
+
"model.layers.15.mlp.down_proj.qweight": "model.safetensors",
|
166 |
+
"model.layers.15.mlp.down_proj.scales": "model.safetensors",
|
167 |
+
"model.layers.15.mlp.down_proj.zeros": "model.safetensors",
|
168 |
+
"model.layers.15.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
169 |
+
"model.layers.15.mlp.gate_up_proj.q_perm": "model.safetensors",
|
170 |
+
"model.layers.15.mlp.gate_up_proj.qweight": "model.safetensors",
|
171 |
+
"model.layers.15.mlp.gate_up_proj.scales": "model.safetensors",
|
172 |
+
"model.layers.15.mlp.gate_up_proj.zeros": "model.safetensors",
|
173 |
+
"model.layers.15.post_attention_layernorm.weight": "model.safetensors",
|
174 |
+
"model.layers.15.self_attn.o_proj.channel_scale": "model.safetensors",
|
175 |
+
"model.layers.15.self_attn.o_proj.q_perm": "model.safetensors",
|
176 |
+
"model.layers.15.self_attn.o_proj.qweight": "model.safetensors",
|
177 |
+
"model.layers.15.self_attn.o_proj.scales": "model.safetensors",
|
178 |
+
"model.layers.15.self_attn.o_proj.zeros": "model.safetensors",
|
179 |
+
"model.layers.15.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
180 |
+
"model.layers.15.self_attn.qkv_proj.q_perm": "model.safetensors",
|
181 |
+
"model.layers.15.self_attn.qkv_proj.qweight": "model.safetensors",
|
182 |
+
"model.layers.15.self_attn.qkv_proj.scales": "model.safetensors",
|
183 |
+
"model.layers.15.self_attn.qkv_proj.zeros": "model.safetensors",
|
184 |
+
"model.layers.16.input_layernorm.weight": "model.safetensors",
|
185 |
+
"model.layers.16.mlp.down_proj.channel_scale": "model.safetensors",
|
186 |
+
"model.layers.16.mlp.down_proj.q_perm": "model.safetensors",
|
187 |
+
"model.layers.16.mlp.down_proj.qweight": "model.safetensors",
|
188 |
+
"model.layers.16.mlp.down_proj.scales": "model.safetensors",
|
189 |
+
"model.layers.16.mlp.down_proj.zeros": "model.safetensors",
|
190 |
+
"model.layers.16.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
191 |
+
"model.layers.16.mlp.gate_up_proj.q_perm": "model.safetensors",
|
192 |
+
"model.layers.16.mlp.gate_up_proj.qweight": "model.safetensors",
|
193 |
+
"model.layers.16.mlp.gate_up_proj.scales": "model.safetensors",
|
194 |
+
"model.layers.16.mlp.gate_up_proj.zeros": "model.safetensors",
|
195 |
+
"model.layers.16.post_attention_layernorm.weight": "model.safetensors",
|
196 |
+
"model.layers.16.self_attn.o_proj.channel_scale": "model.safetensors",
|
197 |
+
"model.layers.16.self_attn.o_proj.q_perm": "model.safetensors",
|
198 |
+
"model.layers.16.self_attn.o_proj.qweight": "model.safetensors",
|
199 |
+
"model.layers.16.self_attn.o_proj.scales": "model.safetensors",
|
200 |
+
"model.layers.16.self_attn.o_proj.zeros": "model.safetensors",
|
201 |
+
"model.layers.16.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
202 |
+
"model.layers.16.self_attn.qkv_proj.q_perm": "model.safetensors",
|
203 |
+
"model.layers.16.self_attn.qkv_proj.qweight": "model.safetensors",
|
204 |
+
"model.layers.16.self_attn.qkv_proj.scales": "model.safetensors",
|
205 |
+
"model.layers.16.self_attn.qkv_proj.zeros": "model.safetensors",
|
206 |
+
"model.layers.17.input_layernorm.weight": "model.safetensors",
|
207 |
+
"model.layers.17.mlp.down_proj.channel_scale": "model.safetensors",
|
208 |
+
"model.layers.17.mlp.down_proj.q_perm": "model.safetensors",
|
209 |
+
"model.layers.17.mlp.down_proj.qweight": "model.safetensors",
|
210 |
+
"model.layers.17.mlp.down_proj.scales": "model.safetensors",
|
211 |
+
"model.layers.17.mlp.down_proj.zeros": "model.safetensors",
|
212 |
+
"model.layers.17.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
213 |
+
"model.layers.17.mlp.gate_up_proj.q_perm": "model.safetensors",
|
214 |
+
"model.layers.17.mlp.gate_up_proj.qweight": "model.safetensors",
|
215 |
+
"model.layers.17.mlp.gate_up_proj.scales": "model.safetensors",
|
216 |
+
"model.layers.17.mlp.gate_up_proj.zeros": "model.safetensors",
|
217 |
+
"model.layers.17.post_attention_layernorm.weight": "model.safetensors",
|
218 |
+
"model.layers.17.self_attn.o_proj.channel_scale": "model.safetensors",
|
219 |
+
"model.layers.17.self_attn.o_proj.q_perm": "model.safetensors",
|
220 |
+
"model.layers.17.self_attn.o_proj.qweight": "model.safetensors",
|
221 |
+
"model.layers.17.self_attn.o_proj.scales": "model.safetensors",
|
222 |
+
"model.layers.17.self_attn.o_proj.zeros": "model.safetensors",
|
223 |
+
"model.layers.17.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
224 |
+
"model.layers.17.self_attn.qkv_proj.q_perm": "model.safetensors",
|
225 |
+
"model.layers.17.self_attn.qkv_proj.qweight": "model.safetensors",
|
226 |
+
"model.layers.17.self_attn.qkv_proj.scales": "model.safetensors",
|
227 |
+
"model.layers.17.self_attn.qkv_proj.zeros": "model.safetensors",
|
228 |
+
"model.layers.18.input_layernorm.weight": "model.safetensors",
|
229 |
+
"model.layers.18.mlp.down_proj.channel_scale": "model.safetensors",
|
230 |
+
"model.layers.18.mlp.down_proj.q_perm": "model.safetensors",
|
231 |
+
"model.layers.18.mlp.down_proj.qweight": "model.safetensors",
|
232 |
+
"model.layers.18.mlp.down_proj.scales": "model.safetensors",
|
233 |
+
"model.layers.18.mlp.down_proj.zeros": "model.safetensors",
|
234 |
+
"model.layers.18.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
235 |
+
"model.layers.18.mlp.gate_up_proj.q_perm": "model.safetensors",
|
236 |
+
"model.layers.18.mlp.gate_up_proj.qweight": "model.safetensors",
|
237 |
+
"model.layers.18.mlp.gate_up_proj.scales": "model.safetensors",
|
238 |
+
"model.layers.18.mlp.gate_up_proj.zeros": "model.safetensors",
|
239 |
+
"model.layers.18.post_attention_layernorm.weight": "model.safetensors",
|
240 |
+
"model.layers.18.self_attn.o_proj.channel_scale": "model.safetensors",
|
241 |
+
"model.layers.18.self_attn.o_proj.q_perm": "model.safetensors",
|
242 |
+
"model.layers.18.self_attn.o_proj.qweight": "model.safetensors",
|
243 |
+
"model.layers.18.self_attn.o_proj.scales": "model.safetensors",
|
244 |
+
"model.layers.18.self_attn.o_proj.zeros": "model.safetensors",
|
245 |
+
"model.layers.18.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
246 |
+
"model.layers.18.self_attn.qkv_proj.q_perm": "model.safetensors",
|
247 |
+
"model.layers.18.self_attn.qkv_proj.qweight": "model.safetensors",
|
248 |
+
"model.layers.18.self_attn.qkv_proj.scales": "model.safetensors",
|
249 |
+
"model.layers.18.self_attn.qkv_proj.zeros": "model.safetensors",
|
250 |
+
"model.layers.19.input_layernorm.weight": "model.safetensors",
|
251 |
+
"model.layers.19.mlp.down_proj.channel_scale": "model.safetensors",
|
252 |
+
"model.layers.19.mlp.down_proj.q_perm": "model.safetensors",
|
253 |
+
"model.layers.19.mlp.down_proj.qweight": "model.safetensors",
|
254 |
+
"model.layers.19.mlp.down_proj.scales": "model.safetensors",
|
255 |
+
"model.layers.19.mlp.down_proj.zeros": "model.safetensors",
|
256 |
+
"model.layers.19.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
257 |
+
"model.layers.19.mlp.gate_up_proj.q_perm": "model.safetensors",
|
258 |
+
"model.layers.19.mlp.gate_up_proj.qweight": "model.safetensors",
|
259 |
+
"model.layers.19.mlp.gate_up_proj.scales": "model.safetensors",
|
260 |
+
"model.layers.19.mlp.gate_up_proj.zeros": "model.safetensors",
|
261 |
+
"model.layers.19.post_attention_layernorm.weight": "model.safetensors",
|
262 |
+
"model.layers.19.self_attn.o_proj.channel_scale": "model.safetensors",
|
263 |
+
"model.layers.19.self_attn.o_proj.q_perm": "model.safetensors",
|
264 |
+
"model.layers.19.self_attn.o_proj.qweight": "model.safetensors",
|
265 |
+
"model.layers.19.self_attn.o_proj.scales": "model.safetensors",
|
266 |
+
"model.layers.19.self_attn.o_proj.zeros": "model.safetensors",
|
267 |
+
"model.layers.19.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
268 |
+
"model.layers.19.self_attn.qkv_proj.q_perm": "model.safetensors",
|
269 |
+
"model.layers.19.self_attn.qkv_proj.qweight": "model.safetensors",
|
270 |
+
"model.layers.19.self_attn.qkv_proj.scales": "model.safetensors",
|
271 |
+
"model.layers.19.self_attn.qkv_proj.zeros": "model.safetensors",
|
272 |
+
"model.layers.2.input_layernorm.weight": "model.safetensors",
|
273 |
+
"model.layers.2.mlp.down_proj.channel_scale": "model.safetensors",
|
274 |
+
"model.layers.2.mlp.down_proj.q_perm": "model.safetensors",
|
275 |
+
"model.layers.2.mlp.down_proj.qweight": "model.safetensors",
|
276 |
+
"model.layers.2.mlp.down_proj.scales": "model.safetensors",
|
277 |
+
"model.layers.2.mlp.down_proj.zeros": "model.safetensors",
|
278 |
+
"model.layers.2.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
279 |
+
"model.layers.2.mlp.gate_up_proj.q_perm": "model.safetensors",
|
280 |
+
"model.layers.2.mlp.gate_up_proj.qweight": "model.safetensors",
|
281 |
+
"model.layers.2.mlp.gate_up_proj.scales": "model.safetensors",
|
282 |
+
"model.layers.2.mlp.gate_up_proj.zeros": "model.safetensors",
|
283 |
+
"model.layers.2.post_attention_layernorm.weight": "model.safetensors",
|
284 |
+
"model.layers.2.self_attn.o_proj.channel_scale": "model.safetensors",
|
285 |
+
"model.layers.2.self_attn.o_proj.q_perm": "model.safetensors",
|
286 |
+
"model.layers.2.self_attn.o_proj.qweight": "model.safetensors",
|
287 |
+
"model.layers.2.self_attn.o_proj.scales": "model.safetensors",
|
288 |
+
"model.layers.2.self_attn.o_proj.zeros": "model.safetensors",
|
289 |
+
"model.layers.2.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
290 |
+
"model.layers.2.self_attn.qkv_proj.q_perm": "model.safetensors",
|
291 |
+
"model.layers.2.self_attn.qkv_proj.qweight": "model.safetensors",
|
292 |
+
"model.layers.2.self_attn.qkv_proj.scales": "model.safetensors",
|
293 |
+
"model.layers.2.self_attn.qkv_proj.zeros": "model.safetensors",
|
294 |
+
"model.layers.20.input_layernorm.weight": "model.safetensors",
|
295 |
+
"model.layers.20.mlp.down_proj.channel_scale": "model.safetensors",
|
296 |
+
"model.layers.20.mlp.down_proj.q_perm": "model.safetensors",
|
297 |
+
"model.layers.20.mlp.down_proj.qweight": "model.safetensors",
|
298 |
+
"model.layers.20.mlp.down_proj.scales": "model.safetensors",
|
299 |
+
"model.layers.20.mlp.down_proj.zeros": "model.safetensors",
|
300 |
+
"model.layers.20.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
301 |
+
"model.layers.20.mlp.gate_up_proj.q_perm": "model.safetensors",
|
302 |
+
"model.layers.20.mlp.gate_up_proj.qweight": "model.safetensors",
|
303 |
+
"model.layers.20.mlp.gate_up_proj.scales": "model.safetensors",
|
304 |
+
"model.layers.20.mlp.gate_up_proj.zeros": "model.safetensors",
|
305 |
+
"model.layers.20.post_attention_layernorm.weight": "model.safetensors",
|
306 |
+
"model.layers.20.self_attn.o_proj.channel_scale": "model.safetensors",
|
307 |
+
"model.layers.20.self_attn.o_proj.q_perm": "model.safetensors",
|
308 |
+
"model.layers.20.self_attn.o_proj.qweight": "model.safetensors",
|
309 |
+
"model.layers.20.self_attn.o_proj.scales": "model.safetensors",
|
310 |
+
"model.layers.20.self_attn.o_proj.zeros": "model.safetensors",
|
311 |
+
"model.layers.20.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
312 |
+
"model.layers.20.self_attn.qkv_proj.q_perm": "model.safetensors",
|
313 |
+
"model.layers.20.self_attn.qkv_proj.qweight": "model.safetensors",
|
314 |
+
"model.layers.20.self_attn.qkv_proj.scales": "model.safetensors",
|
315 |
+
"model.layers.20.self_attn.qkv_proj.zeros": "model.safetensors",
|
316 |
+
"model.layers.21.input_layernorm.weight": "model.safetensors",
|
317 |
+
"model.layers.21.mlp.down_proj.channel_scale": "model.safetensors",
|
318 |
+
"model.layers.21.mlp.down_proj.q_perm": "model.safetensors",
|
319 |
+
"model.layers.21.mlp.down_proj.qweight": "model.safetensors",
|
320 |
+
"model.layers.21.mlp.down_proj.scales": "model.safetensors",
|
321 |
+
"model.layers.21.mlp.down_proj.zeros": "model.safetensors",
|
322 |
+
"model.layers.21.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
323 |
+
"model.layers.21.mlp.gate_up_proj.q_perm": "model.safetensors",
|
324 |
+
"model.layers.21.mlp.gate_up_proj.qweight": "model.safetensors",
|
325 |
+
"model.layers.21.mlp.gate_up_proj.scales": "model.safetensors",
|
326 |
+
"model.layers.21.mlp.gate_up_proj.zeros": "model.safetensors",
|
327 |
+
"model.layers.21.post_attention_layernorm.weight": "model.safetensors",
|
328 |
+
"model.layers.21.self_attn.o_proj.channel_scale": "model.safetensors",
|
329 |
+
"model.layers.21.self_attn.o_proj.q_perm": "model.safetensors",
|
330 |
+
"model.layers.21.self_attn.o_proj.qweight": "model.safetensors",
|
331 |
+
"model.layers.21.self_attn.o_proj.scales": "model.safetensors",
|
332 |
+
"model.layers.21.self_attn.o_proj.zeros": "model.safetensors",
|
333 |
+
"model.layers.21.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
334 |
+
"model.layers.21.self_attn.qkv_proj.q_perm": "model.safetensors",
|
335 |
+
"model.layers.21.self_attn.qkv_proj.qweight": "model.safetensors",
|
336 |
+
"model.layers.21.self_attn.qkv_proj.scales": "model.safetensors",
|
337 |
+
"model.layers.21.self_attn.qkv_proj.zeros": "model.safetensors",
|
338 |
+
"model.layers.22.input_layernorm.weight": "model.safetensors",
|
339 |
+
"model.layers.22.mlp.down_proj.channel_scale": "model.safetensors",
|
340 |
+
"model.layers.22.mlp.down_proj.q_perm": "model.safetensors",
|
341 |
+
"model.layers.22.mlp.down_proj.qweight": "model.safetensors",
|
342 |
+
"model.layers.22.mlp.down_proj.scales": "model.safetensors",
|
343 |
+
"model.layers.22.mlp.down_proj.zeros": "model.safetensors",
|
344 |
+
"model.layers.22.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
345 |
+
"model.layers.22.mlp.gate_up_proj.q_perm": "model.safetensors",
|
346 |
+
"model.layers.22.mlp.gate_up_proj.qweight": "model.safetensors",
|
347 |
+
"model.layers.22.mlp.gate_up_proj.scales": "model.safetensors",
|
348 |
+
"model.layers.22.mlp.gate_up_proj.zeros": "model.safetensors",
|
349 |
+
"model.layers.22.post_attention_layernorm.weight": "model.safetensors",
|
350 |
+
"model.layers.22.self_attn.o_proj.channel_scale": "model.safetensors",
|
351 |
+
"model.layers.22.self_attn.o_proj.q_perm": "model.safetensors",
|
352 |
+
"model.layers.22.self_attn.o_proj.qweight": "model.safetensors",
|
353 |
+
"model.layers.22.self_attn.o_proj.scales": "model.safetensors",
|
354 |
+
"model.layers.22.self_attn.o_proj.zeros": "model.safetensors",
|
355 |
+
"model.layers.22.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
356 |
+
"model.layers.22.self_attn.qkv_proj.q_perm": "model.safetensors",
|
357 |
+
"model.layers.22.self_attn.qkv_proj.qweight": "model.safetensors",
|
358 |
+
"model.layers.22.self_attn.qkv_proj.scales": "model.safetensors",
|
359 |
+
"model.layers.22.self_attn.qkv_proj.zeros": "model.safetensors",
|
360 |
+
"model.layers.23.input_layernorm.weight": "model.safetensors",
|
361 |
+
"model.layers.23.mlp.down_proj.channel_scale": "model.safetensors",
|
362 |
+
"model.layers.23.mlp.down_proj.q_perm": "model.safetensors",
|
363 |
+
"model.layers.23.mlp.down_proj.qweight": "model.safetensors",
|
364 |
+
"model.layers.23.mlp.down_proj.scales": "model.safetensors",
|
365 |
+
"model.layers.23.mlp.down_proj.zeros": "model.safetensors",
|
366 |
+
"model.layers.23.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
367 |
+
"model.layers.23.mlp.gate_up_proj.q_perm": "model.safetensors",
|
368 |
+
"model.layers.23.mlp.gate_up_proj.qweight": "model.safetensors",
|
369 |
+
"model.layers.23.mlp.gate_up_proj.scales": "model.safetensors",
|
370 |
+
"model.layers.23.mlp.gate_up_proj.zeros": "model.safetensors",
|
371 |
+
"model.layers.23.post_attention_layernorm.weight": "model.safetensors",
|
372 |
+
"model.layers.23.self_attn.o_proj.channel_scale": "model.safetensors",
|
373 |
+
"model.layers.23.self_attn.o_proj.q_perm": "model.safetensors",
|
374 |
+
"model.layers.23.self_attn.o_proj.qweight": "model.safetensors",
|
375 |
+
"model.layers.23.self_attn.o_proj.scales": "model.safetensors",
|
376 |
+
"model.layers.23.self_attn.o_proj.zeros": "model.safetensors",
|
377 |
+
"model.layers.23.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
378 |
+
"model.layers.23.self_attn.qkv_proj.q_perm": "model.safetensors",
|
379 |
+
"model.layers.23.self_attn.qkv_proj.qweight": "model.safetensors",
|
380 |
+
"model.layers.23.self_attn.qkv_proj.scales": "model.safetensors",
|
381 |
+
"model.layers.23.self_attn.qkv_proj.zeros": "model.safetensors",
|
382 |
+
"model.layers.24.input_layernorm.weight": "model.safetensors",
|
383 |
+
"model.layers.24.mlp.down_proj.channel_scale": "model.safetensors",
|
384 |
+
"model.layers.24.mlp.down_proj.q_perm": "model.safetensors",
|
385 |
+
"model.layers.24.mlp.down_proj.qweight": "model.safetensors",
|
386 |
+
"model.layers.24.mlp.down_proj.scales": "model.safetensors",
|
387 |
+
"model.layers.24.mlp.down_proj.zeros": "model.safetensors",
|
388 |
+
"model.layers.24.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
389 |
+
"model.layers.24.mlp.gate_up_proj.q_perm": "model.safetensors",
|
390 |
+
"model.layers.24.mlp.gate_up_proj.qweight": "model.safetensors",
|
391 |
+
"model.layers.24.mlp.gate_up_proj.scales": "model.safetensors",
|
392 |
+
"model.layers.24.mlp.gate_up_proj.zeros": "model.safetensors",
|
393 |
+
"model.layers.24.post_attention_layernorm.weight": "model.safetensors",
|
394 |
+
"model.layers.24.self_attn.o_proj.channel_scale": "model.safetensors",
|
395 |
+
"model.layers.24.self_attn.o_proj.q_perm": "model.safetensors",
|
396 |
+
"model.layers.24.self_attn.o_proj.qweight": "model.safetensors",
|
397 |
+
"model.layers.24.self_attn.o_proj.scales": "model.safetensors",
|
398 |
+
"model.layers.24.self_attn.o_proj.zeros": "model.safetensors",
|
399 |
+
"model.layers.24.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
400 |
+
"model.layers.24.self_attn.qkv_proj.q_perm": "model.safetensors",
|
401 |
+
"model.layers.24.self_attn.qkv_proj.qweight": "model.safetensors",
|
402 |
+
"model.layers.24.self_attn.qkv_proj.scales": "model.safetensors",
|
403 |
+
"model.layers.24.self_attn.qkv_proj.zeros": "model.safetensors",
|
404 |
+
"model.layers.25.input_layernorm.weight": "model.safetensors",
|
405 |
+
"model.layers.25.mlp.down_proj.channel_scale": "model.safetensors",
|
406 |
+
"model.layers.25.mlp.down_proj.q_perm": "model.safetensors",
|
407 |
+
"model.layers.25.mlp.down_proj.qweight": "model.safetensors",
|
408 |
+
"model.layers.25.mlp.down_proj.scales": "model.safetensors",
|
409 |
+
"model.layers.25.mlp.down_proj.zeros": "model.safetensors",
|
410 |
+
"model.layers.25.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
411 |
+
"model.layers.25.mlp.gate_up_proj.q_perm": "model.safetensors",
|
412 |
+
"model.layers.25.mlp.gate_up_proj.qweight": "model.safetensors",
|
413 |
+
"model.layers.25.mlp.gate_up_proj.scales": "model.safetensors",
|
414 |
+
"model.layers.25.mlp.gate_up_proj.zeros": "model.safetensors",
|
415 |
+
"model.layers.25.post_attention_layernorm.weight": "model.safetensors",
|
416 |
+
"model.layers.25.self_attn.o_proj.channel_scale": "model.safetensors",
|
417 |
+
"model.layers.25.self_attn.o_proj.q_perm": "model.safetensors",
|
418 |
+
"model.layers.25.self_attn.o_proj.qweight": "model.safetensors",
|
419 |
+
"model.layers.25.self_attn.o_proj.scales": "model.safetensors",
|
420 |
+
"model.layers.25.self_attn.o_proj.zeros": "model.safetensors",
|
421 |
+
"model.layers.25.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
422 |
+
"model.layers.25.self_attn.qkv_proj.q_perm": "model.safetensors",
|
423 |
+
"model.layers.25.self_attn.qkv_proj.qweight": "model.safetensors",
|
424 |
+
"model.layers.25.self_attn.qkv_proj.scales": "model.safetensors",
|
425 |
+
"model.layers.25.self_attn.qkv_proj.zeros": "model.safetensors",
|
426 |
+
"model.layers.26.input_layernorm.weight": "model.safetensors",
|
427 |
+
"model.layers.26.mlp.down_proj.channel_scale": "model.safetensors",
|
428 |
+
"model.layers.26.mlp.down_proj.q_perm": "model.safetensors",
|
429 |
+
"model.layers.26.mlp.down_proj.qweight": "model.safetensors",
|
430 |
+
"model.layers.26.mlp.down_proj.scales": "model.safetensors",
|
431 |
+
"model.layers.26.mlp.down_proj.zeros": "model.safetensors",
|
432 |
+
"model.layers.26.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
433 |
+
"model.layers.26.mlp.gate_up_proj.q_perm": "model.safetensors",
|
434 |
+
"model.layers.26.mlp.gate_up_proj.qweight": "model.safetensors",
|
435 |
+
"model.layers.26.mlp.gate_up_proj.scales": "model.safetensors",
|
436 |
+
"model.layers.26.mlp.gate_up_proj.zeros": "model.safetensors",
|
437 |
+
"model.layers.26.post_attention_layernorm.weight": "model.safetensors",
|
438 |
+
"model.layers.26.self_attn.o_proj.channel_scale": "model.safetensors",
|
439 |
+
"model.layers.26.self_attn.o_proj.q_perm": "model.safetensors",
|
440 |
+
"model.layers.26.self_attn.o_proj.qweight": "model.safetensors",
|
441 |
+
"model.layers.26.self_attn.o_proj.scales": "model.safetensors",
|
442 |
+
"model.layers.26.self_attn.o_proj.zeros": "model.safetensors",
|
443 |
+
"model.layers.26.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
444 |
+
"model.layers.26.self_attn.qkv_proj.q_perm": "model.safetensors",
|
445 |
+
"model.layers.26.self_attn.qkv_proj.qweight": "model.safetensors",
|
446 |
+
"model.layers.26.self_attn.qkv_proj.scales": "model.safetensors",
|
447 |
+
"model.layers.26.self_attn.qkv_proj.zeros": "model.safetensors",
|
448 |
+
"model.layers.27.input_layernorm.weight": "model.safetensors",
|
449 |
+
"model.layers.27.mlp.down_proj.channel_scale": "model.safetensors",
|
450 |
+
"model.layers.27.mlp.down_proj.q_perm": "model.safetensors",
|
451 |
+
"model.layers.27.mlp.down_proj.qweight": "model.safetensors",
|
452 |
+
"model.layers.27.mlp.down_proj.scales": "model.safetensors",
|
453 |
+
"model.layers.27.mlp.down_proj.zeros": "model.safetensors",
|
454 |
+
"model.layers.27.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
455 |
+
"model.layers.27.mlp.gate_up_proj.q_perm": "model.safetensors",
|
456 |
+
"model.layers.27.mlp.gate_up_proj.qweight": "model.safetensors",
|
457 |
+
"model.layers.27.mlp.gate_up_proj.scales": "model.safetensors",
|
458 |
+
"model.layers.27.mlp.gate_up_proj.zeros": "model.safetensors",
|
459 |
+
"model.layers.27.post_attention_layernorm.weight": "model.safetensors",
|
460 |
+
"model.layers.27.self_attn.o_proj.channel_scale": "model.safetensors",
|
461 |
+
"model.layers.27.self_attn.o_proj.q_perm": "model.safetensors",
|
462 |
+
"model.layers.27.self_attn.o_proj.qweight": "model.safetensors",
|
463 |
+
"model.layers.27.self_attn.o_proj.scales": "model.safetensors",
|
464 |
+
"model.layers.27.self_attn.o_proj.zeros": "model.safetensors",
|
465 |
+
"model.layers.27.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
466 |
+
"model.layers.27.self_attn.qkv_proj.q_perm": "model.safetensors",
|
467 |
+
"model.layers.27.self_attn.qkv_proj.qweight": "model.safetensors",
|
468 |
+
"model.layers.27.self_attn.qkv_proj.scales": "model.safetensors",
|
469 |
+
"model.layers.27.self_attn.qkv_proj.zeros": "model.safetensors",
|
470 |
+
"model.layers.28.input_layernorm.weight": "model.safetensors",
|
471 |
+
"model.layers.28.mlp.down_proj.channel_scale": "model.safetensors",
|
472 |
+
"model.layers.28.mlp.down_proj.q_perm": "model.safetensors",
|
473 |
+
"model.layers.28.mlp.down_proj.qweight": "model.safetensors",
|
474 |
+
"model.layers.28.mlp.down_proj.scales": "model.safetensors",
|
475 |
+
"model.layers.28.mlp.down_proj.zeros": "model.safetensors",
|
476 |
+
"model.layers.28.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
477 |
+
"model.layers.28.mlp.gate_up_proj.q_perm": "model.safetensors",
|
478 |
+
"model.layers.28.mlp.gate_up_proj.qweight": "model.safetensors",
|
479 |
+
"model.layers.28.mlp.gate_up_proj.scales": "model.safetensors",
|
480 |
+
"model.layers.28.mlp.gate_up_proj.zeros": "model.safetensors",
|
481 |
+
"model.layers.28.post_attention_layernorm.weight": "model.safetensors",
|
482 |
+
"model.layers.28.self_attn.o_proj.channel_scale": "model.safetensors",
|
483 |
+
"model.layers.28.self_attn.o_proj.q_perm": "model.safetensors",
|
484 |
+
"model.layers.28.self_attn.o_proj.qweight": "model.safetensors",
|
485 |
+
"model.layers.28.self_attn.o_proj.scales": "model.safetensors",
|
486 |
+
"model.layers.28.self_attn.o_proj.zeros": "model.safetensors",
|
487 |
+
"model.layers.28.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
488 |
+
"model.layers.28.self_attn.qkv_proj.q_perm": "model.safetensors",
|
489 |
+
"model.layers.28.self_attn.qkv_proj.qweight": "model.safetensors",
|
490 |
+
"model.layers.28.self_attn.qkv_proj.scales": "model.safetensors",
|
491 |
+
"model.layers.28.self_attn.qkv_proj.zeros": "model.safetensors",
|
492 |
+
"model.layers.29.input_layernorm.weight": "model.safetensors",
|
493 |
+
"model.layers.29.mlp.down_proj.channel_scale": "model.safetensors",
|
494 |
+
"model.layers.29.mlp.down_proj.q_perm": "model.safetensors",
|
495 |
+
"model.layers.29.mlp.down_proj.qweight": "model.safetensors",
|
496 |
+
"model.layers.29.mlp.down_proj.scales": "model.safetensors",
|
497 |
+
"model.layers.29.mlp.down_proj.zeros": "model.safetensors",
|
498 |
+
"model.layers.29.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
499 |
+
"model.layers.29.mlp.gate_up_proj.q_perm": "model.safetensors",
|
500 |
+
"model.layers.29.mlp.gate_up_proj.qweight": "model.safetensors",
|
501 |
+
"model.layers.29.mlp.gate_up_proj.scales": "model.safetensors",
|
502 |
+
"model.layers.29.mlp.gate_up_proj.zeros": "model.safetensors",
|
503 |
+
"model.layers.29.post_attention_layernorm.weight": "model.safetensors",
|
504 |
+
"model.layers.29.self_attn.o_proj.channel_scale": "model.safetensors",
|
505 |
+
"model.layers.29.self_attn.o_proj.q_perm": "model.safetensors",
|
506 |
+
"model.layers.29.self_attn.o_proj.qweight": "model.safetensors",
|
507 |
+
"model.layers.29.self_attn.o_proj.scales": "model.safetensors",
|
508 |
+
"model.layers.29.self_attn.o_proj.zeros": "model.safetensors",
|
509 |
+
"model.layers.29.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
510 |
+
"model.layers.29.self_attn.qkv_proj.q_perm": "model.safetensors",
|
511 |
+
"model.layers.29.self_attn.qkv_proj.qweight": "model.safetensors",
|
512 |
+
"model.layers.29.self_attn.qkv_proj.scales": "model.safetensors",
|
513 |
+
"model.layers.29.self_attn.qkv_proj.zeros": "model.safetensors",
|
514 |
+
"model.layers.3.input_layernorm.weight": "model.safetensors",
|
515 |
+
"model.layers.3.mlp.down_proj.channel_scale": "model.safetensors",
|
516 |
+
"model.layers.3.mlp.down_proj.q_perm": "model.safetensors",
|
517 |
+
"model.layers.3.mlp.down_proj.qweight": "model.safetensors",
|
518 |
+
"model.layers.3.mlp.down_proj.scales": "model.safetensors",
|
519 |
+
"model.layers.3.mlp.down_proj.zeros": "model.safetensors",
|
520 |
+
"model.layers.3.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
521 |
+
"model.layers.3.mlp.gate_up_proj.q_perm": "model.safetensors",
|
522 |
+
"model.layers.3.mlp.gate_up_proj.qweight": "model.safetensors",
|
523 |
+
"model.layers.3.mlp.gate_up_proj.scales": "model.safetensors",
|
524 |
+
"model.layers.3.mlp.gate_up_proj.zeros": "model.safetensors",
|
525 |
+
"model.layers.3.post_attention_layernorm.weight": "model.safetensors",
|
526 |
+
"model.layers.3.self_attn.o_proj.channel_scale": "model.safetensors",
|
527 |
+
"model.layers.3.self_attn.o_proj.q_perm": "model.safetensors",
|
528 |
+
"model.layers.3.self_attn.o_proj.qweight": "model.safetensors",
|
529 |
+
"model.layers.3.self_attn.o_proj.scales": "model.safetensors",
|
530 |
+
"model.layers.3.self_attn.o_proj.zeros": "model.safetensors",
|
531 |
+
"model.layers.3.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
532 |
+
"model.layers.3.self_attn.qkv_proj.q_perm": "model.safetensors",
|
533 |
+
"model.layers.3.self_attn.qkv_proj.qweight": "model.safetensors",
|
534 |
+
"model.layers.3.self_attn.qkv_proj.scales": "model.safetensors",
|
535 |
+
"model.layers.3.self_attn.qkv_proj.zeros": "model.safetensors",
|
536 |
+
"model.layers.30.input_layernorm.weight": "model.safetensors",
|
537 |
+
"model.layers.30.mlp.down_proj.channel_scale": "model.safetensors",
|
538 |
+
"model.layers.30.mlp.down_proj.q_perm": "model.safetensors",
|
539 |
+
"model.layers.30.mlp.down_proj.qweight": "model.safetensors",
|
540 |
+
"model.layers.30.mlp.down_proj.scales": "model.safetensors",
|
541 |
+
"model.layers.30.mlp.down_proj.zeros": "model.safetensors",
|
542 |
+
"model.layers.30.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
543 |
+
"model.layers.30.mlp.gate_up_proj.q_perm": "model.safetensors",
|
544 |
+
"model.layers.30.mlp.gate_up_proj.qweight": "model.safetensors",
|
545 |
+
"model.layers.30.mlp.gate_up_proj.scales": "model.safetensors",
|
546 |
+
"model.layers.30.mlp.gate_up_proj.zeros": "model.safetensors",
|
547 |
+
"model.layers.30.post_attention_layernorm.weight": "model.safetensors",
|
548 |
+
"model.layers.30.self_attn.o_proj.channel_scale": "model.safetensors",
|
549 |
+
"model.layers.30.self_attn.o_proj.q_perm": "model.safetensors",
|
550 |
+
"model.layers.30.self_attn.o_proj.qweight": "model.safetensors",
|
551 |
+
"model.layers.30.self_attn.o_proj.scales": "model.safetensors",
|
552 |
+
"model.layers.30.self_attn.o_proj.zeros": "model.safetensors",
|
553 |
+
"model.layers.30.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
554 |
+
"model.layers.30.self_attn.qkv_proj.q_perm": "model.safetensors",
|
555 |
+
"model.layers.30.self_attn.qkv_proj.qweight": "model.safetensors",
|
556 |
+
"model.layers.30.self_attn.qkv_proj.scales": "model.safetensors",
|
557 |
+
"model.layers.30.self_attn.qkv_proj.zeros": "model.safetensors",
|
558 |
+
"model.layers.31.input_layernorm.weight": "model.safetensors",
|
559 |
+
"model.layers.31.mlp.down_proj.channel_scale": "model.safetensors",
|
560 |
+
"model.layers.31.mlp.down_proj.q_perm": "model.safetensors",
|
561 |
+
"model.layers.31.mlp.down_proj.qweight": "model.safetensors",
|
562 |
+
"model.layers.31.mlp.down_proj.scales": "model.safetensors",
|
563 |
+
"model.layers.31.mlp.down_proj.zeros": "model.safetensors",
|
564 |
+
"model.layers.31.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
565 |
+
"model.layers.31.mlp.gate_up_proj.q_perm": "model.safetensors",
|
566 |
+
"model.layers.31.mlp.gate_up_proj.qweight": "model.safetensors",
|
567 |
+
"model.layers.31.mlp.gate_up_proj.scales": "model.safetensors",
|
568 |
+
"model.layers.31.mlp.gate_up_proj.zeros": "model.safetensors",
|
569 |
+
"model.layers.31.post_attention_layernorm.weight": "model.safetensors",
|
570 |
+
"model.layers.31.self_attn.o_proj.channel_scale": "model.safetensors",
|
571 |
+
"model.layers.31.self_attn.o_proj.q_perm": "model.safetensors",
|
572 |
+
"model.layers.31.self_attn.o_proj.qweight": "model.safetensors",
|
573 |
+
"model.layers.31.self_attn.o_proj.scales": "model.safetensors",
|
574 |
+
"model.layers.31.self_attn.o_proj.zeros": "model.safetensors",
|
575 |
+
"model.layers.31.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
576 |
+
"model.layers.31.self_attn.qkv_proj.q_perm": "model.safetensors",
|
577 |
+
"model.layers.31.self_attn.qkv_proj.qweight": "model.safetensors",
|
578 |
+
"model.layers.31.self_attn.qkv_proj.scales": "model.safetensors",
|
579 |
+
"model.layers.31.self_attn.qkv_proj.zeros": "model.safetensors",
|
580 |
+
"model.layers.4.input_layernorm.weight": "model.safetensors",
|
581 |
+
"model.layers.4.mlp.down_proj.channel_scale": "model.safetensors",
|
582 |
+
"model.layers.4.mlp.down_proj.q_perm": "model.safetensors",
|
583 |
+
"model.layers.4.mlp.down_proj.qweight": "model.safetensors",
|
584 |
+
"model.layers.4.mlp.down_proj.scales": "model.safetensors",
|
585 |
+
"model.layers.4.mlp.down_proj.zeros": "model.safetensors",
|
586 |
+
"model.layers.4.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
587 |
+
"model.layers.4.mlp.gate_up_proj.q_perm": "model.safetensors",
|
588 |
+
"model.layers.4.mlp.gate_up_proj.qweight": "model.safetensors",
|
589 |
+
"model.layers.4.mlp.gate_up_proj.scales": "model.safetensors",
|
590 |
+
"model.layers.4.mlp.gate_up_proj.zeros": "model.safetensors",
|
591 |
+
"model.layers.4.post_attention_layernorm.weight": "model.safetensors",
|
592 |
+
"model.layers.4.self_attn.o_proj.channel_scale": "model.safetensors",
|
593 |
+
"model.layers.4.self_attn.o_proj.q_perm": "model.safetensors",
|
594 |
+
"model.layers.4.self_attn.o_proj.qweight": "model.safetensors",
|
595 |
+
"model.layers.4.self_attn.o_proj.scales": "model.safetensors",
|
596 |
+
"model.layers.4.self_attn.o_proj.zeros": "model.safetensors",
|
597 |
+
"model.layers.4.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
598 |
+
"model.layers.4.self_attn.qkv_proj.q_perm": "model.safetensors",
|
599 |
+
"model.layers.4.self_attn.qkv_proj.qweight": "model.safetensors",
|
600 |
+
"model.layers.4.self_attn.qkv_proj.scales": "model.safetensors",
|
601 |
+
"model.layers.4.self_attn.qkv_proj.zeros": "model.safetensors",
|
602 |
+
"model.layers.5.input_layernorm.weight": "model.safetensors",
|
603 |
+
"model.layers.5.mlp.down_proj.channel_scale": "model.safetensors",
|
604 |
+
"model.layers.5.mlp.down_proj.q_perm": "model.safetensors",
|
605 |
+
"model.layers.5.mlp.down_proj.qweight": "model.safetensors",
|
606 |
+
"model.layers.5.mlp.down_proj.scales": "model.safetensors",
|
607 |
+
"model.layers.5.mlp.down_proj.zeros": "model.safetensors",
|
608 |
+
"model.layers.5.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
609 |
+
"model.layers.5.mlp.gate_up_proj.q_perm": "model.safetensors",
|
610 |
+
"model.layers.5.mlp.gate_up_proj.qweight": "model.safetensors",
|
611 |
+
"model.layers.5.mlp.gate_up_proj.scales": "model.safetensors",
|
612 |
+
"model.layers.5.mlp.gate_up_proj.zeros": "model.safetensors",
|
613 |
+
"model.layers.5.post_attention_layernorm.weight": "model.safetensors",
|
614 |
+
"model.layers.5.self_attn.o_proj.channel_scale": "model.safetensors",
|
615 |
+
"model.layers.5.self_attn.o_proj.q_perm": "model.safetensors",
|
616 |
+
"model.layers.5.self_attn.o_proj.qweight": "model.safetensors",
|
617 |
+
"model.layers.5.self_attn.o_proj.scales": "model.safetensors",
|
618 |
+
"model.layers.5.self_attn.o_proj.zeros": "model.safetensors",
|
619 |
+
"model.layers.5.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
620 |
+
"model.layers.5.self_attn.qkv_proj.q_perm": "model.safetensors",
|
621 |
+
"model.layers.5.self_attn.qkv_proj.qweight": "model.safetensors",
|
622 |
+
"model.layers.5.self_attn.qkv_proj.scales": "model.safetensors",
|
623 |
+
"model.layers.5.self_attn.qkv_proj.zeros": "model.safetensors",
|
624 |
+
"model.layers.6.input_layernorm.weight": "model.safetensors",
|
625 |
+
"model.layers.6.mlp.down_proj.channel_scale": "model.safetensors",
|
626 |
+
"model.layers.6.mlp.down_proj.q_perm": "model.safetensors",
|
627 |
+
"model.layers.6.mlp.down_proj.qweight": "model.safetensors",
|
628 |
+
"model.layers.6.mlp.down_proj.scales": "model.safetensors",
|
629 |
+
"model.layers.6.mlp.down_proj.zeros": "model.safetensors",
|
630 |
+
"model.layers.6.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
631 |
+
"model.layers.6.mlp.gate_up_proj.q_perm": "model.safetensors",
|
632 |
+
"model.layers.6.mlp.gate_up_proj.qweight": "model.safetensors",
|
633 |
+
"model.layers.6.mlp.gate_up_proj.scales": "model.safetensors",
|
634 |
+
"model.layers.6.mlp.gate_up_proj.zeros": "model.safetensors",
|
635 |
+
"model.layers.6.post_attention_layernorm.weight": "model.safetensors",
|
636 |
+
"model.layers.6.self_attn.o_proj.channel_scale": "model.safetensors",
|
637 |
+
"model.layers.6.self_attn.o_proj.q_perm": "model.safetensors",
|
638 |
+
"model.layers.6.self_attn.o_proj.qweight": "model.safetensors",
|
639 |
+
"model.layers.6.self_attn.o_proj.scales": "model.safetensors",
|
640 |
+
"model.layers.6.self_attn.o_proj.zeros": "model.safetensors",
|
641 |
+
"model.layers.6.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
642 |
+
"model.layers.6.self_attn.qkv_proj.q_perm": "model.safetensors",
|
643 |
+
"model.layers.6.self_attn.qkv_proj.qweight": "model.safetensors",
|
644 |
+
"model.layers.6.self_attn.qkv_proj.scales": "model.safetensors",
|
645 |
+
"model.layers.6.self_attn.qkv_proj.zeros": "model.safetensors",
|
646 |
+
"model.layers.7.input_layernorm.weight": "model.safetensors",
|
647 |
+
"model.layers.7.mlp.down_proj.channel_scale": "model.safetensors",
|
648 |
+
"model.layers.7.mlp.down_proj.q_perm": "model.safetensors",
|
649 |
+
"model.layers.7.mlp.down_proj.qweight": "model.safetensors",
|
650 |
+
"model.layers.7.mlp.down_proj.scales": "model.safetensors",
|
651 |
+
"model.layers.7.mlp.down_proj.zeros": "model.safetensors",
|
652 |
+
"model.layers.7.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
653 |
+
"model.layers.7.mlp.gate_up_proj.q_perm": "model.safetensors",
|
654 |
+
"model.layers.7.mlp.gate_up_proj.qweight": "model.safetensors",
|
655 |
+
"model.layers.7.mlp.gate_up_proj.scales": "model.safetensors",
|
656 |
+
"model.layers.7.mlp.gate_up_proj.zeros": "model.safetensors",
|
657 |
+
"model.layers.7.post_attention_layernorm.weight": "model.safetensors",
|
658 |
+
"model.layers.7.self_attn.o_proj.channel_scale": "model.safetensors",
|
659 |
+
"model.layers.7.self_attn.o_proj.q_perm": "model.safetensors",
|
660 |
+
"model.layers.7.self_attn.o_proj.qweight": "model.safetensors",
|
661 |
+
"model.layers.7.self_attn.o_proj.scales": "model.safetensors",
|
662 |
+
"model.layers.7.self_attn.o_proj.zeros": "model.safetensors",
|
663 |
+
"model.layers.7.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
664 |
+
"model.layers.7.self_attn.qkv_proj.q_perm": "model.safetensors",
|
665 |
+
"model.layers.7.self_attn.qkv_proj.qweight": "model.safetensors",
|
666 |
+
"model.layers.7.self_attn.qkv_proj.scales": "model.safetensors",
|
667 |
+
"model.layers.7.self_attn.qkv_proj.zeros": "model.safetensors",
|
668 |
+
"model.layers.8.input_layernorm.weight": "model.safetensors",
|
669 |
+
"model.layers.8.mlp.down_proj.channel_scale": "model.safetensors",
|
670 |
+
"model.layers.8.mlp.down_proj.q_perm": "model.safetensors",
|
671 |
+
"model.layers.8.mlp.down_proj.qweight": "model.safetensors",
|
672 |
+
"model.layers.8.mlp.down_proj.scales": "model.safetensors",
|
673 |
+
"model.layers.8.mlp.down_proj.zeros": "model.safetensors",
|
674 |
+
"model.layers.8.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
675 |
+
"model.layers.8.mlp.gate_up_proj.q_perm": "model.safetensors",
|
676 |
+
"model.layers.8.mlp.gate_up_proj.qweight": "model.safetensors",
|
677 |
+
"model.layers.8.mlp.gate_up_proj.scales": "model.safetensors",
|
678 |
+
"model.layers.8.mlp.gate_up_proj.zeros": "model.safetensors",
|
679 |
+
"model.layers.8.post_attention_layernorm.weight": "model.safetensors",
|
680 |
+
"model.layers.8.self_attn.o_proj.channel_scale": "model.safetensors",
|
681 |
+
"model.layers.8.self_attn.o_proj.q_perm": "model.safetensors",
|
682 |
+
"model.layers.8.self_attn.o_proj.qweight": "model.safetensors",
|
683 |
+
"model.layers.8.self_attn.o_proj.scales": "model.safetensors",
|
684 |
+
"model.layers.8.self_attn.o_proj.zeros": "model.safetensors",
|
685 |
+
"model.layers.8.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
686 |
+
"model.layers.8.self_attn.qkv_proj.q_perm": "model.safetensors",
|
687 |
+
"model.layers.8.self_attn.qkv_proj.qweight": "model.safetensors",
|
688 |
+
"model.layers.8.self_attn.qkv_proj.scales": "model.safetensors",
|
689 |
+
"model.layers.8.self_attn.qkv_proj.zeros": "model.safetensors",
|
690 |
+
"model.layers.9.input_layernorm.weight": "model.safetensors",
|
691 |
+
"model.layers.9.mlp.down_proj.channel_scale": "model.safetensors",
|
692 |
+
"model.layers.9.mlp.down_proj.q_perm": "model.safetensors",
|
693 |
+
"model.layers.9.mlp.down_proj.qweight": "model.safetensors",
|
694 |
+
"model.layers.9.mlp.down_proj.scales": "model.safetensors",
|
695 |
+
"model.layers.9.mlp.down_proj.zeros": "model.safetensors",
|
696 |
+
"model.layers.9.mlp.gate_up_proj.channel_scale": "model.safetensors",
|
697 |
+
"model.layers.9.mlp.gate_up_proj.q_perm": "model.safetensors",
|
698 |
+
"model.layers.9.mlp.gate_up_proj.qweight": "model.safetensors",
|
699 |
+
"model.layers.9.mlp.gate_up_proj.scales": "model.safetensors",
|
700 |
+
"model.layers.9.mlp.gate_up_proj.zeros": "model.safetensors",
|
701 |
+
"model.layers.9.post_attention_layernorm.weight": "model.safetensors",
|
702 |
+
"model.layers.9.self_attn.o_proj.channel_scale": "model.safetensors",
|
703 |
+
"model.layers.9.self_attn.o_proj.q_perm": "model.safetensors",
|
704 |
+
"model.layers.9.self_attn.o_proj.qweight": "model.safetensors",
|
705 |
+
"model.layers.9.self_attn.o_proj.scales": "model.safetensors",
|
706 |
+
"model.layers.9.self_attn.o_proj.zeros": "model.safetensors",
|
707 |
+
"model.layers.9.self_attn.qkv_proj.channel_scale": "model.safetensors",
|
708 |
+
"model.layers.9.self_attn.qkv_proj.q_perm": "model.safetensors",
|
709 |
+
"model.layers.9.self_attn.qkv_proj.qweight": "model.safetensors",
|
710 |
+
"model.layers.9.self_attn.qkv_proj.scales": "model.safetensors",
|
711 |
+
"model.layers.9.self_attn.qkv_proj.zeros": "model.safetensors",
|
712 |
+
"model.norm.weight": "model.safetensors"
|
713 |
+
}
|
714 |
+
}
|
quant_strategy.json
ADDED
@@ -0,0 +1,1668 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"measurement": {
|
3 |
+
"model.layers.0": {
|
4 |
+
"accuracy": 0.6285324096679688,
|
5 |
+
"total_bits": 289320576,
|
6 |
+
"o_proj": {
|
7 |
+
"group_size": {
|
8 |
+
"2": 64
|
9 |
+
},
|
10 |
+
"bits": [
|
11 |
+
2
|
12 |
+
],
|
13 |
+
"bits_prop": [
|
14 |
+
1
|
15 |
+
],
|
16 |
+
"scale_bits": 4
|
17 |
+
},
|
18 |
+
"down_proj": {
|
19 |
+
"group_size": {
|
20 |
+
"2": 64
|
21 |
+
},
|
22 |
+
"bits": [
|
23 |
+
2
|
24 |
+
],
|
25 |
+
"bits_prop": [
|
26 |
+
1
|
27 |
+
],
|
28 |
+
"scale_bits": 4
|
29 |
+
},
|
30 |
+
"qkv_proj": {
|
31 |
+
"group_size": {
|
32 |
+
"4": 128
|
33 |
+
},
|
34 |
+
"bits": [
|
35 |
+
4
|
36 |
+
],
|
37 |
+
"bits_prop": [
|
38 |
+
1
|
39 |
+
],
|
40 |
+
"scale_bits": 4
|
41 |
+
},
|
42 |
+
"gate_up_proj": {
|
43 |
+
"group_size": {
|
44 |
+
"2": 64
|
45 |
+
},
|
46 |
+
"bits": [
|
47 |
+
2
|
48 |
+
],
|
49 |
+
"bits_prop": [
|
50 |
+
1
|
51 |
+
],
|
52 |
+
"scale_bits": 4
|
53 |
+
}
|
54 |
+
},
|
55 |
+
"model.layers.1": {
|
56 |
+
"accuracy": 0.695317268371582,
|
57 |
+
"total_bits": 289320576,
|
58 |
+
"o_proj": {
|
59 |
+
"group_size": {
|
60 |
+
"2": 64
|
61 |
+
},
|
62 |
+
"bits": [
|
63 |
+
2
|
64 |
+
],
|
65 |
+
"bits_prop": [
|
66 |
+
1
|
67 |
+
],
|
68 |
+
"scale_bits": 4
|
69 |
+
},
|
70 |
+
"down_proj": {
|
71 |
+
"group_size": {
|
72 |
+
"2": 64
|
73 |
+
},
|
74 |
+
"bits": [
|
75 |
+
2
|
76 |
+
],
|
77 |
+
"bits_prop": [
|
78 |
+
1
|
79 |
+
],
|
80 |
+
"scale_bits": 4
|
81 |
+
},
|
82 |
+
"qkv_proj": {
|
83 |
+
"group_size": {
|
84 |
+
"4": 128
|
85 |
+
},
|
86 |
+
"bits": [
|
87 |
+
4
|
88 |
+
],
|
89 |
+
"bits_prop": [
|
90 |
+
1
|
91 |
+
],
|
92 |
+
"scale_bits": 4
|
93 |
+
},
|
94 |
+
"gate_up_proj": {
|
95 |
+
"group_size": {
|
96 |
+
"2": 64
|
97 |
+
},
|
98 |
+
"bits": [
|
99 |
+
2
|
100 |
+
],
|
101 |
+
"bits_prop": [
|
102 |
+
1
|
103 |
+
],
|
104 |
+
"scale_bits": 4
|
105 |
+
}
|
106 |
+
},
|
107 |
+
"model.layers.2": {
|
108 |
+
"accuracy": 0.6292324066162109,
|
109 |
+
"total_bits": 233583360,
|
110 |
+
"o_proj": {
|
111 |
+
"group_size": {
|
112 |
+
"2": 64
|
113 |
+
},
|
114 |
+
"bits": [
|
115 |
+
2
|
116 |
+
],
|
117 |
+
"bits_prop": [
|
118 |
+
1
|
119 |
+
],
|
120 |
+
"scale_bits": 4
|
121 |
+
},
|
122 |
+
"down_proj": {
|
123 |
+
"group_size": {
|
124 |
+
"2": 64
|
125 |
+
},
|
126 |
+
"bits": [
|
127 |
+
2
|
128 |
+
],
|
129 |
+
"bits_prop": [
|
130 |
+
1
|
131 |
+
],
|
132 |
+
"scale_bits": 4
|
133 |
+
},
|
134 |
+
"qkv_proj": {
|
135 |
+
"group_size": {
|
136 |
+
"2": 64
|
137 |
+
},
|
138 |
+
"bits": [
|
139 |
+
2
|
140 |
+
],
|
141 |
+
"bits_prop": [
|
142 |
+
1
|
143 |
+
],
|
144 |
+
"scale_bits": 4
|
145 |
+
},
|
146 |
+
"gate_up_proj": {
|
147 |
+
"group_size": {
|
148 |
+
"2": 64
|
149 |
+
},
|
150 |
+
"bits": [
|
151 |
+
2
|
152 |
+
],
|
153 |
+
"bits_prop": [
|
154 |
+
1
|
155 |
+
],
|
156 |
+
"scale_bits": 4
|
157 |
+
}
|
158 |
+
},
|
159 |
+
"model.layers.3": {
|
160 |
+
"accuracy": 0.5984973907470703,
|
161 |
+
"total_bits": 252161664,
|
162 |
+
"o_proj": {
|
163 |
+
"group_size": {
|
164 |
+
"4": 128
|
165 |
+
},
|
166 |
+
"bits": [
|
167 |
+
4
|
168 |
+
],
|
169 |
+
"bits_prop": [
|
170 |
+
1
|
171 |
+
],
|
172 |
+
"scale_bits": 4
|
173 |
+
},
|
174 |
+
"down_proj": {
|
175 |
+
"group_size": {
|
176 |
+
"2": 64
|
177 |
+
},
|
178 |
+
"bits": [
|
179 |
+
2
|
180 |
+
],
|
181 |
+
"bits_prop": [
|
182 |
+
1
|
183 |
+
],
|
184 |
+
"scale_bits": 4
|
185 |
+
},
|
186 |
+
"qkv_proj": {
|
187 |
+
"group_size": {
|
188 |
+
"2": 64
|
189 |
+
},
|
190 |
+
"bits": [
|
191 |
+
2
|
192 |
+
],
|
193 |
+
"bits_prop": [
|
194 |
+
1
|
195 |
+
],
|
196 |
+
"scale_bits": 4
|
197 |
+
},
|
198 |
+
"gate_up_proj": {
|
199 |
+
"group_size": {
|
200 |
+
"2": 64
|
201 |
+
},
|
202 |
+
"bits": [
|
203 |
+
2
|
204 |
+
],
|
205 |
+
"bits_prop": [
|
206 |
+
1
|
207 |
+
],
|
208 |
+
"scale_bits": 4
|
209 |
+
}
|
210 |
+
},
|
211 |
+
"model.layers.4": {
|
212 |
+
"accuracy": 0.6389684677124023,
|
213 |
+
"total_bits": 252161664,
|
214 |
+
"o_proj": {
|
215 |
+
"group_size": {
|
216 |
+
"4": 128
|
217 |
+
},
|
218 |
+
"bits": [
|
219 |
+
4
|
220 |
+
],
|
221 |
+
"bits_prop": [
|
222 |
+
1
|
223 |
+
],
|
224 |
+
"scale_bits": 4
|
225 |
+
},
|
226 |
+
"down_proj": {
|
227 |
+
"group_size": {
|
228 |
+
"2": 64
|
229 |
+
},
|
230 |
+
"bits": [
|
231 |
+
2
|
232 |
+
],
|
233 |
+
"bits_prop": [
|
234 |
+
1
|
235 |
+
],
|
236 |
+
"scale_bits": 4
|
237 |
+
},
|
238 |
+
"qkv_proj": {
|
239 |
+
"group_size": {
|
240 |
+
"2": 64
|
241 |
+
},
|
242 |
+
"bits": [
|
243 |
+
2
|
244 |
+
],
|
245 |
+
"bits_prop": [
|
246 |
+
1
|
247 |
+
],
|
248 |
+
"scale_bits": 4
|
249 |
+
},
|
250 |
+
"gate_up_proj": {
|
251 |
+
"group_size": {
|
252 |
+
"2": 64
|
253 |
+
},
|
254 |
+
"bits": [
|
255 |
+
2
|
256 |
+
],
|
257 |
+
"bits_prop": [
|
258 |
+
1
|
259 |
+
],
|
260 |
+
"scale_bits": 4
|
261 |
+
}
|
262 |
+
},
|
263 |
+
"model.layers.5": {
|
264 |
+
"accuracy": 0.7461767196655273,
|
265 |
+
"total_bits": 233583360,
|
266 |
+
"o_proj": {
|
267 |
+
"group_size": {
|
268 |
+
"2": 64
|
269 |
+
},
|
270 |
+
"bits": [
|
271 |
+
2
|
272 |
+
],
|
273 |
+
"bits_prop": [
|
274 |
+
1
|
275 |
+
],
|
276 |
+
"scale_bits": 4
|
277 |
+
},
|
278 |
+
"down_proj": {
|
279 |
+
"group_size": {
|
280 |
+
"2": 64
|
281 |
+
},
|
282 |
+
"bits": [
|
283 |
+
2
|
284 |
+
],
|
285 |
+
"bits_prop": [
|
286 |
+
1
|
287 |
+
],
|
288 |
+
"scale_bits": 4
|
289 |
+
},
|
290 |
+
"qkv_proj": {
|
291 |
+
"group_size": {
|
292 |
+
"2": 64
|
293 |
+
},
|
294 |
+
"bits": [
|
295 |
+
2
|
296 |
+
],
|
297 |
+
"bits_prop": [
|
298 |
+
1
|
299 |
+
],
|
300 |
+
"scale_bits": 4
|
301 |
+
},
|
302 |
+
"gate_up_proj": {
|
303 |
+
"group_size": {
|
304 |
+
"2": 64
|
305 |
+
},
|
306 |
+
"bits": [
|
307 |
+
2
|
308 |
+
],
|
309 |
+
"bits_prop": [
|
310 |
+
1
|
311 |
+
],
|
312 |
+
"scale_bits": 4
|
313 |
+
}
|
314 |
+
},
|
315 |
+
"model.layers.6": {
|
316 |
+
"accuracy": 0.7727584838867188,
|
317 |
+
"total_bits": 233583360,
|
318 |
+
"o_proj": {
|
319 |
+
"group_size": {
|
320 |
+
"2": 64
|
321 |
+
},
|
322 |
+
"bits": [
|
323 |
+
2
|
324 |
+
],
|
325 |
+
"bits_prop": [
|
326 |
+
1
|
327 |
+
],
|
328 |
+
"scale_bits": 4
|
329 |
+
},
|
330 |
+
"down_proj": {
|
331 |
+
"group_size": {
|
332 |
+
"2": 64
|
333 |
+
},
|
334 |
+
"bits": [
|
335 |
+
2
|
336 |
+
],
|
337 |
+
"bits_prop": [
|
338 |
+
1
|
339 |
+
],
|
340 |
+
"scale_bits": 4
|
341 |
+
},
|
342 |
+
"qkv_proj": {
|
343 |
+
"group_size": {
|
344 |
+
"2": 64
|
345 |
+
},
|
346 |
+
"bits": [
|
347 |
+
2
|
348 |
+
],
|
349 |
+
"bits_prop": [
|
350 |
+
1
|
351 |
+
],
|
352 |
+
"scale_bits": 4
|
353 |
+
},
|
354 |
+
"gate_up_proj": {
|
355 |
+
"group_size": {
|
356 |
+
"2": 64
|
357 |
+
},
|
358 |
+
"bits": [
|
359 |
+
2
|
360 |
+
],
|
361 |
+
"bits_prop": [
|
362 |
+
1
|
363 |
+
],
|
364 |
+
"scale_bits": 4
|
365 |
+
}
|
366 |
+
},
|
367 |
+
"model.layers.7": {
|
368 |
+
"accuracy": 0.798675537109375,
|
369 |
+
"total_bits": 252161664,
|
370 |
+
"o_proj": {
|
371 |
+
"group_size": {
|
372 |
+
"4": 128
|
373 |
+
},
|
374 |
+
"bits": [
|
375 |
+
4
|
376 |
+
],
|
377 |
+
"bits_prop": [
|
378 |
+
1
|
379 |
+
],
|
380 |
+
"scale_bits": 4
|
381 |
+
},
|
382 |
+
"down_proj": {
|
383 |
+
"group_size": {
|
384 |
+
"2": 64
|
385 |
+
},
|
386 |
+
"bits": [
|
387 |
+
2
|
388 |
+
],
|
389 |
+
"bits_prop": [
|
390 |
+
1
|
391 |
+
],
|
392 |
+
"scale_bits": 4
|
393 |
+
},
|
394 |
+
"qkv_proj": {
|
395 |
+
"group_size": {
|
396 |
+
"2": 64
|
397 |
+
},
|
398 |
+
"bits": [
|
399 |
+
2
|
400 |
+
],
|
401 |
+
"bits_prop": [
|
402 |
+
1
|
403 |
+
],
|
404 |
+
"scale_bits": 4
|
405 |
+
},
|
406 |
+
"gate_up_proj": {
|
407 |
+
"group_size": {
|
408 |
+
"2": 64
|
409 |
+
},
|
410 |
+
"bits": [
|
411 |
+
2
|
412 |
+
],
|
413 |
+
"bits_prop": [
|
414 |
+
1
|
415 |
+
],
|
416 |
+
"scale_bits": 4
|
417 |
+
}
|
418 |
+
},
|
419 |
+
"model.layers.8": {
|
420 |
+
"accuracy": 0.8624000549316406,
|
421 |
+
"total_bits": 233583360,
|
422 |
+
"o_proj": {
|
423 |
+
"group_size": {
|
424 |
+
"2": 64
|
425 |
+
},
|
426 |
+
"bits": [
|
427 |
+
2
|
428 |
+
],
|
429 |
+
"bits_prop": [
|
430 |
+
1
|
431 |
+
],
|
432 |
+
"scale_bits": 4
|
433 |
+
},
|
434 |
+
"down_proj": {
|
435 |
+
"group_size": {
|
436 |
+
"2": 64
|
437 |
+
},
|
438 |
+
"bits": [
|
439 |
+
2
|
440 |
+
],
|
441 |
+
"bits_prop": [
|
442 |
+
1
|
443 |
+
],
|
444 |
+
"scale_bits": 4
|
445 |
+
},
|
446 |
+
"qkv_proj": {
|
447 |
+
"group_size": {
|
448 |
+
"2": 64
|
449 |
+
},
|
450 |
+
"bits": [
|
451 |
+
2
|
452 |
+
],
|
453 |
+
"bits_prop": [
|
454 |
+
1
|
455 |
+
],
|
456 |
+
"scale_bits": 4
|
457 |
+
},
|
458 |
+
"gate_up_proj": {
|
459 |
+
"group_size": {
|
460 |
+
"2": 64
|
461 |
+
},
|
462 |
+
"bits": [
|
463 |
+
2
|
464 |
+
],
|
465 |
+
"bits_prop": [
|
466 |
+
1
|
467 |
+
],
|
468 |
+
"scale_bits": 4
|
469 |
+
}
|
470 |
+
},
|
471 |
+
"model.layers.9": {
|
472 |
+
"accuracy": 0.8816728591918945,
|
473 |
+
"total_bits": 233583360,
|
474 |
+
"o_proj": {
|
475 |
+
"group_size": {
|
476 |
+
"2": 64
|
477 |
+
},
|
478 |
+
"bits": [
|
479 |
+
2
|
480 |
+
],
|
481 |
+
"bits_prop": [
|
482 |
+
1
|
483 |
+
],
|
484 |
+
"scale_bits": 4
|
485 |
+
},
|
486 |
+
"down_proj": {
|
487 |
+
"group_size": {
|
488 |
+
"2": 64
|
489 |
+
},
|
490 |
+
"bits": [
|
491 |
+
2
|
492 |
+
],
|
493 |
+
"bits_prop": [
|
494 |
+
1
|
495 |
+
],
|
496 |
+
"scale_bits": 4
|
497 |
+
},
|
498 |
+
"qkv_proj": {
|
499 |
+
"group_size": {
|
500 |
+
"2": 64
|
501 |
+
},
|
502 |
+
"bits": [
|
503 |
+
2
|
504 |
+
],
|
505 |
+
"bits_prop": [
|
506 |
+
1
|
507 |
+
],
|
508 |
+
"scale_bits": 4
|
509 |
+
},
|
510 |
+
"gate_up_proj": {
|
511 |
+
"group_size": {
|
512 |
+
"2": 64
|
513 |
+
},
|
514 |
+
"bits": [
|
515 |
+
2
|
516 |
+
],
|
517 |
+
"bits_prop": [
|
518 |
+
1
|
519 |
+
],
|
520 |
+
"scale_bits": 4
|
521 |
+
}
|
522 |
+
},
|
523 |
+
"model.layers.10": {
|
524 |
+
"accuracy": 0.8820247650146484,
|
525 |
+
"total_bits": 233583360,
|
526 |
+
"o_proj": {
|
527 |
+
"group_size": {
|
528 |
+
"2": 64
|
529 |
+
},
|
530 |
+
"bits": [
|
531 |
+
2
|
532 |
+
],
|
533 |
+
"bits_prop": [
|
534 |
+
1
|
535 |
+
],
|
536 |
+
"scale_bits": 4
|
537 |
+
},
|
538 |
+
"down_proj": {
|
539 |
+
"group_size": {
|
540 |
+
"2": 64
|
541 |
+
},
|
542 |
+
"bits": [
|
543 |
+
2
|
544 |
+
],
|
545 |
+
"bits_prop": [
|
546 |
+
1
|
547 |
+
],
|
548 |
+
"scale_bits": 4
|
549 |
+
},
|
550 |
+
"qkv_proj": {
|
551 |
+
"group_size": {
|
552 |
+
"2": 64
|
553 |
+
},
|
554 |
+
"bits": [
|
555 |
+
2
|
556 |
+
],
|
557 |
+
"bits_prop": [
|
558 |
+
1
|
559 |
+
],
|
560 |
+
"scale_bits": 4
|
561 |
+
},
|
562 |
+
"gate_up_proj": {
|
563 |
+
"group_size": {
|
564 |
+
"2": 64
|
565 |
+
},
|
566 |
+
"bits": [
|
567 |
+
2
|
568 |
+
],
|
569 |
+
"bits_prop": [
|
570 |
+
1
|
571 |
+
],
|
572 |
+
"scale_bits": 4
|
573 |
+
}
|
574 |
+
},
|
575 |
+
"model.layers.11": {
|
576 |
+
"accuracy": 0.8820934295654297,
|
577 |
+
"total_bits": 233583360,
|
578 |
+
"o_proj": {
|
579 |
+
"group_size": {
|
580 |
+
"2": 64
|
581 |
+
},
|
582 |
+
"bits": [
|
583 |
+
2
|
584 |
+
],
|
585 |
+
"bits_prop": [
|
586 |
+
1
|
587 |
+
],
|
588 |
+
"scale_bits": 4
|
589 |
+
},
|
590 |
+
"down_proj": {
|
591 |
+
"group_size": {
|
592 |
+
"2": 64
|
593 |
+
},
|
594 |
+
"bits": [
|
595 |
+
2
|
596 |
+
],
|
597 |
+
"bits_prop": [
|
598 |
+
1
|
599 |
+
],
|
600 |
+
"scale_bits": 4
|
601 |
+
},
|
602 |
+
"qkv_proj": {
|
603 |
+
"group_size": {
|
604 |
+
"2": 64
|
605 |
+
},
|
606 |
+
"bits": [
|
607 |
+
2
|
608 |
+
],
|
609 |
+
"bits_prop": [
|
610 |
+
1
|
611 |
+
],
|
612 |
+
"scale_bits": 4
|
613 |
+
},
|
614 |
+
"gate_up_proj": {
|
615 |
+
"group_size": {
|
616 |
+
"2": 64
|
617 |
+
},
|
618 |
+
"bits": [
|
619 |
+
2
|
620 |
+
],
|
621 |
+
"bits_prop": [
|
622 |
+
1
|
623 |
+
],
|
624 |
+
"scale_bits": 4
|
625 |
+
}
|
626 |
+
},
|
627 |
+
"model.layers.12": {
|
628 |
+
"accuracy": 0.878394603729248,
|
629 |
+
"total_bits": 233583360,
|
630 |
+
"o_proj": {
|
631 |
+
"group_size": {
|
632 |
+
"2": 64
|
633 |
+
},
|
634 |
+
"bits": [
|
635 |
+
2
|
636 |
+
],
|
637 |
+
"bits_prop": [
|
638 |
+
1
|
639 |
+
],
|
640 |
+
"scale_bits": 4
|
641 |
+
},
|
642 |
+
"down_proj": {
|
643 |
+
"group_size": {
|
644 |
+
"2": 64
|
645 |
+
},
|
646 |
+
"bits": [
|
647 |
+
2
|
648 |
+
],
|
649 |
+
"bits_prop": [
|
650 |
+
1
|
651 |
+
],
|
652 |
+
"scale_bits": 4
|
653 |
+
},
|
654 |
+
"qkv_proj": {
|
655 |
+
"group_size": {
|
656 |
+
"2": 64
|
657 |
+
},
|
658 |
+
"bits": [
|
659 |
+
2
|
660 |
+
],
|
661 |
+
"bits_prop": [
|
662 |
+
1
|
663 |
+
],
|
664 |
+
"scale_bits": 4
|
665 |
+
},
|
666 |
+
"gate_up_proj": {
|
667 |
+
"group_size": {
|
668 |
+
"2": 64
|
669 |
+
},
|
670 |
+
"bits": [
|
671 |
+
2
|
672 |
+
],
|
673 |
+
"bits_prop": [
|
674 |
+
1
|
675 |
+
],
|
676 |
+
"scale_bits": 4
|
677 |
+
}
|
678 |
+
},
|
679 |
+
"model.layers.13": {
|
680 |
+
"accuracy": 0.7176222801208496,
|
681 |
+
"total_bits": 233583360,
|
682 |
+
"o_proj": {
|
683 |
+
"group_size": {
|
684 |
+
"2": 64
|
685 |
+
},
|
686 |
+
"bits": [
|
687 |
+
2
|
688 |
+
],
|
689 |
+
"bits_prop": [
|
690 |
+
1
|
691 |
+
],
|
692 |
+
"scale_bits": 4
|
693 |
+
},
|
694 |
+
"down_proj": {
|
695 |
+
"group_size": {
|
696 |
+
"2": 64
|
697 |
+
},
|
698 |
+
"bits": [
|
699 |
+
2
|
700 |
+
],
|
701 |
+
"bits_prop": [
|
702 |
+
1
|
703 |
+
],
|
704 |
+
"scale_bits": 4
|
705 |
+
},
|
706 |
+
"qkv_proj": {
|
707 |
+
"group_size": {
|
708 |
+
"2": 64
|
709 |
+
},
|
710 |
+
"bits": [
|
711 |
+
2
|
712 |
+
],
|
713 |
+
"bits_prop": [
|
714 |
+
1
|
715 |
+
],
|
716 |
+
"scale_bits": 4
|
717 |
+
},
|
718 |
+
"gate_up_proj": {
|
719 |
+
"group_size": {
|
720 |
+
"2": 64
|
721 |
+
},
|
722 |
+
"bits": [
|
723 |
+
2
|
724 |
+
],
|
725 |
+
"bits_prop": [
|
726 |
+
1
|
727 |
+
],
|
728 |
+
"scale_bits": 4
|
729 |
+
}
|
730 |
+
},
|
731 |
+
"model.layers.14": {
|
732 |
+
"accuracy": 0.932328462600708,
|
733 |
+
"total_bits": 233583360,
|
734 |
+
"o_proj": {
|
735 |
+
"group_size": {
|
736 |
+
"2": 64
|
737 |
+
},
|
738 |
+
"bits": [
|
739 |
+
2
|
740 |
+
],
|
741 |
+
"bits_prop": [
|
742 |
+
1
|
743 |
+
],
|
744 |
+
"scale_bits": 4
|
745 |
+
},
|
746 |
+
"down_proj": {
|
747 |
+
"group_size": {
|
748 |
+
"2": 64
|
749 |
+
},
|
750 |
+
"bits": [
|
751 |
+
2
|
752 |
+
],
|
753 |
+
"bits_prop": [
|
754 |
+
1
|
755 |
+
],
|
756 |
+
"scale_bits": 4
|
757 |
+
},
|
758 |
+
"qkv_proj": {
|
759 |
+
"group_size": {
|
760 |
+
"2": 64
|
761 |
+
},
|
762 |
+
"bits": [
|
763 |
+
2
|
764 |
+
],
|
765 |
+
"bits_prop": [
|
766 |
+
1
|
767 |
+
],
|
768 |
+
"scale_bits": 4
|
769 |
+
},
|
770 |
+
"gate_up_proj": {
|
771 |
+
"group_size": {
|
772 |
+
"2": 64
|
773 |
+
},
|
774 |
+
"bits": [
|
775 |
+
2
|
776 |
+
],
|
777 |
+
"bits_prop": [
|
778 |
+
1
|
779 |
+
],
|
780 |
+
"scale_bits": 4
|
781 |
+
}
|
782 |
+
},
|
783 |
+
"model.layers.15": {
|
784 |
+
"accuracy": 0.9327261447906494,
|
785 |
+
"total_bits": 233583360,
|
786 |
+
"o_proj": {
|
787 |
+
"group_size": {
|
788 |
+
"2": 64
|
789 |
+
},
|
790 |
+
"bits": [
|
791 |
+
2
|
792 |
+
],
|
793 |
+
"bits_prop": [
|
794 |
+
1
|
795 |
+
],
|
796 |
+
"scale_bits": 4
|
797 |
+
},
|
798 |
+
"down_proj": {
|
799 |
+
"group_size": {
|
800 |
+
"2": 64
|
801 |
+
},
|
802 |
+
"bits": [
|
803 |
+
2
|
804 |
+
],
|
805 |
+
"bits_prop": [
|
806 |
+
1
|
807 |
+
],
|
808 |
+
"scale_bits": 4
|
809 |
+
},
|
810 |
+
"qkv_proj": {
|
811 |
+
"group_size": {
|
812 |
+
"2": 64
|
813 |
+
},
|
814 |
+
"bits": [
|
815 |
+
2
|
816 |
+
],
|
817 |
+
"bits_prop": [
|
818 |
+
1
|
819 |
+
],
|
820 |
+
"scale_bits": 4
|
821 |
+
},
|
822 |
+
"gate_up_proj": {
|
823 |
+
"group_size": {
|
824 |
+
"2": 64
|
825 |
+
},
|
826 |
+
"bits": [
|
827 |
+
2
|
828 |
+
],
|
829 |
+
"bits_prop": [
|
830 |
+
1
|
831 |
+
],
|
832 |
+
"scale_bits": 4
|
833 |
+
}
|
834 |
+
},
|
835 |
+
"model.layers.16": {
|
836 |
+
"accuracy": 0.9302468299865723,
|
837 |
+
"total_bits": 233583360,
|
838 |
+
"o_proj": {
|
839 |
+
"group_size": {
|
840 |
+
"2": 64
|
841 |
+
},
|
842 |
+
"bits": [
|
843 |
+
2
|
844 |
+
],
|
845 |
+
"bits_prop": [
|
846 |
+
1
|
847 |
+
],
|
848 |
+
"scale_bits": 4
|
849 |
+
},
|
850 |
+
"down_proj": {
|
851 |
+
"group_size": {
|
852 |
+
"2": 64
|
853 |
+
},
|
854 |
+
"bits": [
|
855 |
+
2
|
856 |
+
],
|
857 |
+
"bits_prop": [
|
858 |
+
1
|
859 |
+
],
|
860 |
+
"scale_bits": 4
|
861 |
+
},
|
862 |
+
"qkv_proj": {
|
863 |
+
"group_size": {
|
864 |
+
"2": 64
|
865 |
+
},
|
866 |
+
"bits": [
|
867 |
+
2
|
868 |
+
],
|
869 |
+
"bits_prop": [
|
870 |
+
1
|
871 |
+
],
|
872 |
+
"scale_bits": 4
|
873 |
+
},
|
874 |
+
"gate_up_proj": {
|
875 |
+
"group_size": {
|
876 |
+
"2": 64
|
877 |
+
},
|
878 |
+
"bits": [
|
879 |
+
2
|
880 |
+
],
|
881 |
+
"bits_prop": [
|
882 |
+
1
|
883 |
+
],
|
884 |
+
"scale_bits": 4
|
885 |
+
}
|
886 |
+
},
|
887 |
+
"model.layers.17": {
|
888 |
+
"accuracy": 0.926159143447876,
|
889 |
+
"total_bits": 233583360,
|
890 |
+
"o_proj": {
|
891 |
+
"group_size": {
|
892 |
+
"2": 64
|
893 |
+
},
|
894 |
+
"bits": [
|
895 |
+
2
|
896 |
+
],
|
897 |
+
"bits_prop": [
|
898 |
+
1
|
899 |
+
],
|
900 |
+
"scale_bits": 4
|
901 |
+
},
|
902 |
+
"down_proj": {
|
903 |
+
"group_size": {
|
904 |
+
"2": 64
|
905 |
+
},
|
906 |
+
"bits": [
|
907 |
+
2
|
908 |
+
],
|
909 |
+
"bits_prop": [
|
910 |
+
1
|
911 |
+
],
|
912 |
+
"scale_bits": 4
|
913 |
+
},
|
914 |
+
"qkv_proj": {
|
915 |
+
"group_size": {
|
916 |
+
"2": 64
|
917 |
+
},
|
918 |
+
"bits": [
|
919 |
+
2
|
920 |
+
],
|
921 |
+
"bits_prop": [
|
922 |
+
1
|
923 |
+
],
|
924 |
+
"scale_bits": 4
|
925 |
+
},
|
926 |
+
"gate_up_proj": {
|
927 |
+
"group_size": {
|
928 |
+
"2": 64
|
929 |
+
},
|
930 |
+
"bits": [
|
931 |
+
2
|
932 |
+
],
|
933 |
+
"bits_prop": [
|
934 |
+
1
|
935 |
+
],
|
936 |
+
"scale_bits": 4
|
937 |
+
}
|
938 |
+
},
|
939 |
+
"model.layers.18": {
|
940 |
+
"accuracy": 0.9201779365539551,
|
941 |
+
"total_bits": 233583360,
|
942 |
+
"o_proj": {
|
943 |
+
"group_size": {
|
944 |
+
"2": 64
|
945 |
+
},
|
946 |
+
"bits": [
|
947 |
+
2
|
948 |
+
],
|
949 |
+
"bits_prop": [
|
950 |
+
1
|
951 |
+
],
|
952 |
+
"scale_bits": 4
|
953 |
+
},
|
954 |
+
"down_proj": {
|
955 |
+
"group_size": {
|
956 |
+
"2": 64
|
957 |
+
},
|
958 |
+
"bits": [
|
959 |
+
2
|
960 |
+
],
|
961 |
+
"bits_prop": [
|
962 |
+
1
|
963 |
+
],
|
964 |
+
"scale_bits": 4
|
965 |
+
},
|
966 |
+
"qkv_proj": {
|
967 |
+
"group_size": {
|
968 |
+
"2": 64
|
969 |
+
},
|
970 |
+
"bits": [
|
971 |
+
2
|
972 |
+
],
|
973 |
+
"bits_prop": [
|
974 |
+
1
|
975 |
+
],
|
976 |
+
"scale_bits": 4
|
977 |
+
},
|
978 |
+
"gate_up_proj": {
|
979 |
+
"group_size": {
|
980 |
+
"2": 64
|
981 |
+
},
|
982 |
+
"bits": [
|
983 |
+
2
|
984 |
+
],
|
985 |
+
"bits_prop": [
|
986 |
+
1
|
987 |
+
],
|
988 |
+
"scale_bits": 4
|
989 |
+
}
|
990 |
+
},
|
991 |
+
"model.layers.19": {
|
992 |
+
"accuracy": 0.9235491752624512,
|
993 |
+
"total_bits": 233583360,
|
994 |
+
"o_proj": {
|
995 |
+
"group_size": {
|
996 |
+
"2": 64
|
997 |
+
},
|
998 |
+
"bits": [
|
999 |
+
2
|
1000 |
+
],
|
1001 |
+
"bits_prop": [
|
1002 |
+
1
|
1003 |
+
],
|
1004 |
+
"scale_bits": 4
|
1005 |
+
},
|
1006 |
+
"down_proj": {
|
1007 |
+
"group_size": {
|
1008 |
+
"2": 64
|
1009 |
+
},
|
1010 |
+
"bits": [
|
1011 |
+
2
|
1012 |
+
],
|
1013 |
+
"bits_prop": [
|
1014 |
+
1
|
1015 |
+
],
|
1016 |
+
"scale_bits": 4
|
1017 |
+
},
|
1018 |
+
"qkv_proj": {
|
1019 |
+
"group_size": {
|
1020 |
+
"2": 64
|
1021 |
+
},
|
1022 |
+
"bits": [
|
1023 |
+
2
|
1024 |
+
],
|
1025 |
+
"bits_prop": [
|
1026 |
+
1
|
1027 |
+
],
|
1028 |
+
"scale_bits": 4
|
1029 |
+
},
|
1030 |
+
"gate_up_proj": {
|
1031 |
+
"group_size": {
|
1032 |
+
"2": 64
|
1033 |
+
},
|
1034 |
+
"bits": [
|
1035 |
+
2
|
1036 |
+
],
|
1037 |
+
"bits_prop": [
|
1038 |
+
1
|
1039 |
+
],
|
1040 |
+
"scale_bits": 4
|
1041 |
+
}
|
1042 |
+
},
|
1043 |
+
"model.layers.20": {
|
1044 |
+
"accuracy": 0.9098367691040039,
|
1045 |
+
"total_bits": 233583360,
|
1046 |
+
"o_proj": {
|
1047 |
+
"group_size": {
|
1048 |
+
"2": 64
|
1049 |
+
},
|
1050 |
+
"bits": [
|
1051 |
+
2
|
1052 |
+
],
|
1053 |
+
"bits_prop": [
|
1054 |
+
1
|
1055 |
+
],
|
1056 |
+
"scale_bits": 4
|
1057 |
+
},
|
1058 |
+
"down_proj": {
|
1059 |
+
"group_size": {
|
1060 |
+
"2": 64
|
1061 |
+
},
|
1062 |
+
"bits": [
|
1063 |
+
2
|
1064 |
+
],
|
1065 |
+
"bits_prop": [
|
1066 |
+
1
|
1067 |
+
],
|
1068 |
+
"scale_bits": 4
|
1069 |
+
},
|
1070 |
+
"qkv_proj": {
|
1071 |
+
"group_size": {
|
1072 |
+
"2": 64
|
1073 |
+
},
|
1074 |
+
"bits": [
|
1075 |
+
2
|
1076 |
+
],
|
1077 |
+
"bits_prop": [
|
1078 |
+
1
|
1079 |
+
],
|
1080 |
+
"scale_bits": 4
|
1081 |
+
},
|
1082 |
+
"gate_up_proj": {
|
1083 |
+
"group_size": {
|
1084 |
+
"2": 64
|
1085 |
+
},
|
1086 |
+
"bits": [
|
1087 |
+
2
|
1088 |
+
],
|
1089 |
+
"bits_prop": [
|
1090 |
+
1
|
1091 |
+
],
|
1092 |
+
"scale_bits": 4
|
1093 |
+
}
|
1094 |
+
},
|
1095 |
+
"model.layers.21": {
|
1096 |
+
"accuracy": 0.909736156463623,
|
1097 |
+
"total_bits": 233583360,
|
1098 |
+
"o_proj": {
|
1099 |
+
"group_size": {
|
1100 |
+
"2": 64
|
1101 |
+
},
|
1102 |
+
"bits": [
|
1103 |
+
2
|
1104 |
+
],
|
1105 |
+
"bits_prop": [
|
1106 |
+
1
|
1107 |
+
],
|
1108 |
+
"scale_bits": 4
|
1109 |
+
},
|
1110 |
+
"down_proj": {
|
1111 |
+
"group_size": {
|
1112 |
+
"2": 64
|
1113 |
+
},
|
1114 |
+
"bits": [
|
1115 |
+
2
|
1116 |
+
],
|
1117 |
+
"bits_prop": [
|
1118 |
+
1
|
1119 |
+
],
|
1120 |
+
"scale_bits": 4
|
1121 |
+
},
|
1122 |
+
"qkv_proj": {
|
1123 |
+
"group_size": {
|
1124 |
+
"2": 64
|
1125 |
+
},
|
1126 |
+
"bits": [
|
1127 |
+
2
|
1128 |
+
],
|
1129 |
+
"bits_prop": [
|
1130 |
+
1
|
1131 |
+
],
|
1132 |
+
"scale_bits": 4
|
1133 |
+
},
|
1134 |
+
"gate_up_proj": {
|
1135 |
+
"group_size": {
|
1136 |
+
"2": 64
|
1137 |
+
},
|
1138 |
+
"bits": [
|
1139 |
+
2
|
1140 |
+
],
|
1141 |
+
"bits_prop": [
|
1142 |
+
1
|
1143 |
+
],
|
1144 |
+
"scale_bits": 4
|
1145 |
+
}
|
1146 |
+
},
|
1147 |
+
"model.layers.22": {
|
1148 |
+
"accuracy": 0.9064040184020996,
|
1149 |
+
"total_bits": 233583360,
|
1150 |
+
"o_proj": {
|
1151 |
+
"group_size": {
|
1152 |
+
"2": 64
|
1153 |
+
},
|
1154 |
+
"bits": [
|
1155 |
+
2
|
1156 |
+
],
|
1157 |
+
"bits_prop": [
|
1158 |
+
1
|
1159 |
+
],
|
1160 |
+
"scale_bits": 4
|
1161 |
+
},
|
1162 |
+
"down_proj": {
|
1163 |
+
"group_size": {
|
1164 |
+
"2": 64
|
1165 |
+
},
|
1166 |
+
"bits": [
|
1167 |
+
2
|
1168 |
+
],
|
1169 |
+
"bits_prop": [
|
1170 |
+
1
|
1171 |
+
],
|
1172 |
+
"scale_bits": 4
|
1173 |
+
},
|
1174 |
+
"qkv_proj": {
|
1175 |
+
"group_size": {
|
1176 |
+
"2": 64
|
1177 |
+
},
|
1178 |
+
"bits": [
|
1179 |
+
2
|
1180 |
+
],
|
1181 |
+
"bits_prop": [
|
1182 |
+
1
|
1183 |
+
],
|
1184 |
+
"scale_bits": 4
|
1185 |
+
},
|
1186 |
+
"gate_up_proj": {
|
1187 |
+
"group_size": {
|
1188 |
+
"2": 64
|
1189 |
+
},
|
1190 |
+
"bits": [
|
1191 |
+
2
|
1192 |
+
],
|
1193 |
+
"bits_prop": [
|
1194 |
+
1
|
1195 |
+
],
|
1196 |
+
"scale_bits": 4
|
1197 |
+
}
|
1198 |
+
},
|
1199 |
+
"model.layers.23": {
|
1200 |
+
"accuracy": 0.9041399955749512,
|
1201 |
+
"total_bits": 233583360,
|
1202 |
+
"o_proj": {
|
1203 |
+
"group_size": {
|
1204 |
+
"2": 64
|
1205 |
+
},
|
1206 |
+
"bits": [
|
1207 |
+
2
|
1208 |
+
],
|
1209 |
+
"bits_prop": [
|
1210 |
+
1
|
1211 |
+
],
|
1212 |
+
"scale_bits": 4
|
1213 |
+
},
|
1214 |
+
"down_proj": {
|
1215 |
+
"group_size": {
|
1216 |
+
"2": 64
|
1217 |
+
},
|
1218 |
+
"bits": [
|
1219 |
+
2
|
1220 |
+
],
|
1221 |
+
"bits_prop": [
|
1222 |
+
1
|
1223 |
+
],
|
1224 |
+
"scale_bits": 4
|
1225 |
+
},
|
1226 |
+
"qkv_proj": {
|
1227 |
+
"group_size": {
|
1228 |
+
"2": 64
|
1229 |
+
},
|
1230 |
+
"bits": [
|
1231 |
+
2
|
1232 |
+
],
|
1233 |
+
"bits_prop": [
|
1234 |
+
1
|
1235 |
+
],
|
1236 |
+
"scale_bits": 4
|
1237 |
+
},
|
1238 |
+
"gate_up_proj": {
|
1239 |
+
"group_size": {
|
1240 |
+
"2": 64
|
1241 |
+
},
|
1242 |
+
"bits": [
|
1243 |
+
2
|
1244 |
+
],
|
1245 |
+
"bits_prop": [
|
1246 |
+
1
|
1247 |
+
],
|
1248 |
+
"scale_bits": 4
|
1249 |
+
}
|
1250 |
+
},
|
1251 |
+
"model.layers.24": {
|
1252 |
+
"accuracy": 0.896183967590332,
|
1253 |
+
"total_bits": 233583360,
|
1254 |
+
"o_proj": {
|
1255 |
+
"group_size": {
|
1256 |
+
"2": 64
|
1257 |
+
},
|
1258 |
+
"bits": [
|
1259 |
+
2
|
1260 |
+
],
|
1261 |
+
"bits_prop": [
|
1262 |
+
1
|
1263 |
+
],
|
1264 |
+
"scale_bits": 4
|
1265 |
+
},
|
1266 |
+
"down_proj": {
|
1267 |
+
"group_size": {
|
1268 |
+
"2": 64
|
1269 |
+
},
|
1270 |
+
"bits": [
|
1271 |
+
2
|
1272 |
+
],
|
1273 |
+
"bits_prop": [
|
1274 |
+
1
|
1275 |
+
],
|
1276 |
+
"scale_bits": 4
|
1277 |
+
},
|
1278 |
+
"qkv_proj": {
|
1279 |
+
"group_size": {
|
1280 |
+
"2": 64
|
1281 |
+
},
|
1282 |
+
"bits": [
|
1283 |
+
2
|
1284 |
+
],
|
1285 |
+
"bits_prop": [
|
1286 |
+
1
|
1287 |
+
],
|
1288 |
+
"scale_bits": 4
|
1289 |
+
},
|
1290 |
+
"gate_up_proj": {
|
1291 |
+
"group_size": {
|
1292 |
+
"2": 64
|
1293 |
+
},
|
1294 |
+
"bits": [
|
1295 |
+
2
|
1296 |
+
],
|
1297 |
+
"bits_prop": [
|
1298 |
+
1
|
1299 |
+
],
|
1300 |
+
"scale_bits": 4
|
1301 |
+
}
|
1302 |
+
},
|
1303 |
+
"model.layers.25": {
|
1304 |
+
"accuracy": 0.8960213661193848,
|
1305 |
+
"total_bits": 233583360,
|
1306 |
+
"o_proj": {
|
1307 |
+
"group_size": {
|
1308 |
+
"2": 64
|
1309 |
+
},
|
1310 |
+
"bits": [
|
1311 |
+
2
|
1312 |
+
],
|
1313 |
+
"bits_prop": [
|
1314 |
+
1
|
1315 |
+
],
|
1316 |
+
"scale_bits": 4
|
1317 |
+
},
|
1318 |
+
"down_proj": {
|
1319 |
+
"group_size": {
|
1320 |
+
"2": 64
|
1321 |
+
},
|
1322 |
+
"bits": [
|
1323 |
+
2
|
1324 |
+
],
|
1325 |
+
"bits_prop": [
|
1326 |
+
1
|
1327 |
+
],
|
1328 |
+
"scale_bits": 4
|
1329 |
+
},
|
1330 |
+
"qkv_proj": {
|
1331 |
+
"group_size": {
|
1332 |
+
"2": 64
|
1333 |
+
},
|
1334 |
+
"bits": [
|
1335 |
+
2
|
1336 |
+
],
|
1337 |
+
"bits_prop": [
|
1338 |
+
1
|
1339 |
+
],
|
1340 |
+
"scale_bits": 4
|
1341 |
+
},
|
1342 |
+
"gate_up_proj": {
|
1343 |
+
"group_size": {
|
1344 |
+
"2": 64
|
1345 |
+
},
|
1346 |
+
"bits": [
|
1347 |
+
2
|
1348 |
+
],
|
1349 |
+
"bits_prop": [
|
1350 |
+
1
|
1351 |
+
],
|
1352 |
+
"scale_bits": 4
|
1353 |
+
}
|
1354 |
+
},
|
1355 |
+
"model.layers.26": {
|
1356 |
+
"accuracy": 0.8992471694946289,
|
1357 |
+
"total_bits": 233583360,
|
1358 |
+
"o_proj": {
|
1359 |
+
"group_size": {
|
1360 |
+
"2": 64
|
1361 |
+
},
|
1362 |
+
"bits": [
|
1363 |
+
2
|
1364 |
+
],
|
1365 |
+
"bits_prop": [
|
1366 |
+
1
|
1367 |
+
],
|
1368 |
+
"scale_bits": 4
|
1369 |
+
},
|
1370 |
+
"down_proj": {
|
1371 |
+
"group_size": {
|
1372 |
+
"2": 64
|
1373 |
+
},
|
1374 |
+
"bits": [
|
1375 |
+
2
|
1376 |
+
],
|
1377 |
+
"bits_prop": [
|
1378 |
+
1
|
1379 |
+
],
|
1380 |
+
"scale_bits": 4
|
1381 |
+
},
|
1382 |
+
"qkv_proj": {
|
1383 |
+
"group_size": {
|
1384 |
+
"2": 64
|
1385 |
+
},
|
1386 |
+
"bits": [
|
1387 |
+
2
|
1388 |
+
],
|
1389 |
+
"bits_prop": [
|
1390 |
+
1
|
1391 |
+
],
|
1392 |
+
"scale_bits": 4
|
1393 |
+
},
|
1394 |
+
"gate_up_proj": {
|
1395 |
+
"group_size": {
|
1396 |
+
"2": 64
|
1397 |
+
},
|
1398 |
+
"bits": [
|
1399 |
+
2
|
1400 |
+
],
|
1401 |
+
"bits_prop": [
|
1402 |
+
1
|
1403 |
+
],
|
1404 |
+
"scale_bits": 4
|
1405 |
+
}
|
1406 |
+
},
|
1407 |
+
"model.layers.27": {
|
1408 |
+
"accuracy": 0.8962163925170898,
|
1409 |
+
"total_bits": 233583360,
|
1410 |
+
"o_proj": {
|
1411 |
+
"group_size": {
|
1412 |
+
"2": 64
|
1413 |
+
},
|
1414 |
+
"bits": [
|
1415 |
+
2
|
1416 |
+
],
|
1417 |
+
"bits_prop": [
|
1418 |
+
1
|
1419 |
+
],
|
1420 |
+
"scale_bits": 4
|
1421 |
+
},
|
1422 |
+
"down_proj": {
|
1423 |
+
"group_size": {
|
1424 |
+
"2": 64
|
1425 |
+
},
|
1426 |
+
"bits": [
|
1427 |
+
2
|
1428 |
+
],
|
1429 |
+
"bits_prop": [
|
1430 |
+
1
|
1431 |
+
],
|
1432 |
+
"scale_bits": 4
|
1433 |
+
},
|
1434 |
+
"qkv_proj": {
|
1435 |
+
"group_size": {
|
1436 |
+
"2": 64
|
1437 |
+
},
|
1438 |
+
"bits": [
|
1439 |
+
2
|
1440 |
+
],
|
1441 |
+
"bits_prop": [
|
1442 |
+
1
|
1443 |
+
],
|
1444 |
+
"scale_bits": 4
|
1445 |
+
},
|
1446 |
+
"gate_up_proj": {
|
1447 |
+
"group_size": {
|
1448 |
+
"2": 64
|
1449 |
+
},
|
1450 |
+
"bits": [
|
1451 |
+
2
|
1452 |
+
],
|
1453 |
+
"bits_prop": [
|
1454 |
+
1
|
1455 |
+
],
|
1456 |
+
"scale_bits": 4
|
1457 |
+
}
|
1458 |
+
},
|
1459 |
+
"model.layers.28": {
|
1460 |
+
"accuracy": 0.8950643539428711,
|
1461 |
+
"total_bits": 252161664,
|
1462 |
+
"o_proj": {
|
1463 |
+
"group_size": {
|
1464 |
+
"4": 128
|
1465 |
+
},
|
1466 |
+
"bits": [
|
1467 |
+
4
|
1468 |
+
],
|
1469 |
+
"bits_prop": [
|
1470 |
+
1
|
1471 |
+
],
|
1472 |
+
"scale_bits": 4
|
1473 |
+
},
|
1474 |
+
"down_proj": {
|
1475 |
+
"group_size": {
|
1476 |
+
"2": 64
|
1477 |
+
},
|
1478 |
+
"bits": [
|
1479 |
+
2
|
1480 |
+
],
|
1481 |
+
"bits_prop": [
|
1482 |
+
1
|
1483 |
+
],
|
1484 |
+
"scale_bits": 4
|
1485 |
+
},
|
1486 |
+
"qkv_proj": {
|
1487 |
+
"group_size": {
|
1488 |
+
"2": 64
|
1489 |
+
},
|
1490 |
+
"bits": [
|
1491 |
+
2
|
1492 |
+
],
|
1493 |
+
"bits_prop": [
|
1494 |
+
1
|
1495 |
+
],
|
1496 |
+
"scale_bits": 4
|
1497 |
+
},
|
1498 |
+
"gate_up_proj": {
|
1499 |
+
"group_size": {
|
1500 |
+
"2": 64
|
1501 |
+
},
|
1502 |
+
"bits": [
|
1503 |
+
2
|
1504 |
+
],
|
1505 |
+
"bits_prop": [
|
1506 |
+
1
|
1507 |
+
],
|
1508 |
+
"scale_bits": 4
|
1509 |
+
}
|
1510 |
+
},
|
1511 |
+
"model.layers.29": {
|
1512 |
+
"accuracy": 0.874481201171875,
|
1513 |
+
"total_bits": 301703808,
|
1514 |
+
"o_proj": {
|
1515 |
+
"group_size": {
|
1516 |
+
"4": 128
|
1517 |
+
},
|
1518 |
+
"bits": [
|
1519 |
+
4
|
1520 |
+
],
|
1521 |
+
"bits_prop": [
|
1522 |
+
1
|
1523 |
+
],
|
1524 |
+
"scale_bits": 4
|
1525 |
+
},
|
1526 |
+
"down_proj": {
|
1527 |
+
"group_size": {
|
1528 |
+
"4": 128
|
1529 |
+
},
|
1530 |
+
"bits": [
|
1531 |
+
4
|
1532 |
+
],
|
1533 |
+
"bits_prop": [
|
1534 |
+
1
|
1535 |
+
],
|
1536 |
+
"scale_bits": 4
|
1537 |
+
},
|
1538 |
+
"qkv_proj": {
|
1539 |
+
"group_size": {
|
1540 |
+
"2": 64
|
1541 |
+
},
|
1542 |
+
"bits": [
|
1543 |
+
2
|
1544 |
+
],
|
1545 |
+
"bits_prop": [
|
1546 |
+
1
|
1547 |
+
],
|
1548 |
+
"scale_bits": 4
|
1549 |
+
},
|
1550 |
+
"gate_up_proj": {
|
1551 |
+
"group_size": {
|
1552 |
+
"2": 64
|
1553 |
+
},
|
1554 |
+
"bits": [
|
1555 |
+
2
|
1556 |
+
],
|
1557 |
+
"bits_prop": [
|
1558 |
+
1
|
1559 |
+
],
|
1560 |
+
"scale_bits": 4
|
1561 |
+
}
|
1562 |
+
},
|
1563 |
+
"model.layers.30": {
|
1564 |
+
"accuracy": 0.9012396335601807,
|
1565 |
+
"total_bits": 301703808,
|
1566 |
+
"o_proj": {
|
1567 |
+
"group_size": {
|
1568 |
+
"4": 128
|
1569 |
+
},
|
1570 |
+
"bits": [
|
1571 |
+
4
|
1572 |
+
],
|
1573 |
+
"bits_prop": [
|
1574 |
+
1
|
1575 |
+
],
|
1576 |
+
"scale_bits": 4
|
1577 |
+
},
|
1578 |
+
"down_proj": {
|
1579 |
+
"group_size": {
|
1580 |
+
"4": 128
|
1581 |
+
},
|
1582 |
+
"bits": [
|
1583 |
+
4
|
1584 |
+
],
|
1585 |
+
"bits_prop": [
|
1586 |
+
1
|
1587 |
+
],
|
1588 |
+
"scale_bits": 4
|
1589 |
+
},
|
1590 |
+
"qkv_proj": {
|
1591 |
+
"group_size": {
|
1592 |
+
"2": 64
|
1593 |
+
},
|
1594 |
+
"bits": [
|
1595 |
+
2
|
1596 |
+
],
|
1597 |
+
"bits_prop": [
|
1598 |
+
1
|
1599 |
+
],
|
1600 |
+
"scale_bits": 4
|
1601 |
+
},
|
1602 |
+
"gate_up_proj": {
|
1603 |
+
"group_size": {
|
1604 |
+
"2": 64
|
1605 |
+
},
|
1606 |
+
"bits": [
|
1607 |
+
2
|
1608 |
+
],
|
1609 |
+
"bits_prop": [
|
1610 |
+
1
|
1611 |
+
],
|
1612 |
+
"scale_bits": 4
|
1613 |
+
}
|
1614 |
+
},
|
1615 |
+
"model.layers.31": {
|
1616 |
+
"accuracy": 0.9370012283325195,
|
1617 |
+
"total_bits": 400793088,
|
1618 |
+
"o_proj": {
|
1619 |
+
"group_size": {
|
1620 |
+
"4": 128
|
1621 |
+
},
|
1622 |
+
"bits": [
|
1623 |
+
4
|
1624 |
+
],
|
1625 |
+
"bits_prop": [
|
1626 |
+
1
|
1627 |
+
],
|
1628 |
+
"scale_bits": 4
|
1629 |
+
},
|
1630 |
+
"down_proj": {
|
1631 |
+
"group_size": {
|
1632 |
+
"4": 128
|
1633 |
+
},
|
1634 |
+
"bits": [
|
1635 |
+
4
|
1636 |
+
],
|
1637 |
+
"bits_prop": [
|
1638 |
+
1
|
1639 |
+
],
|
1640 |
+
"scale_bits": 4
|
1641 |
+
},
|
1642 |
+
"qkv_proj": {
|
1643 |
+
"group_size": {
|
1644 |
+
"2": 64
|
1645 |
+
},
|
1646 |
+
"bits": [
|
1647 |
+
2
|
1648 |
+
],
|
1649 |
+
"bits_prop": [
|
1650 |
+
1
|
1651 |
+
],
|
1652 |
+
"scale_bits": 4
|
1653 |
+
},
|
1654 |
+
"gate_up_proj": {
|
1655 |
+
"group_size": {
|
1656 |
+
"4": 128
|
1657 |
+
},
|
1658 |
+
"bits": [
|
1659 |
+
4
|
1660 |
+
],
|
1661 |
+
"bits_prop": [
|
1662 |
+
1
|
1663 |
+
],
|
1664 |
+
"scale_bits": 4
|
1665 |
+
}
|
1666 |
+
}
|
1667 |
+
}
|
1668 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|/inst|>"
|
4 |
+
],
|
5 |
+
"bos_token": {
|
6 |
+
"content": "<s>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"eos_token": {
|
13 |
+
"content": "<|endoftext|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false
|
18 |
+
},
|
19 |
+
"pad_token": {
|
20 |
+
"content": "<|endoftext|>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false
|
25 |
+
},
|
26 |
+
"unk_token": {
|
27 |
+
"content": "<unk>",
|
28 |
+
"lstrip": false,
|
29 |
+
"normalized": false,
|
30 |
+
"rstrip": false,
|
31 |
+
"single_word": false
|
32 |
+
}
|
33 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,351 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": true,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "<|endoftext|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "<|assistant|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": true,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"32002": {
|
47 |
+
"content": "<|step|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": true,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
},
|
54 |
+
"32003": {
|
55 |
+
"content": "<|function_output|>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": true,
|
59 |
+
"single_word": false,
|
60 |
+
"special": true
|
61 |
+
},
|
62 |
+
"32004": {
|
63 |
+
"content": "<|tag|>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": true,
|
67 |
+
"single_word": false,
|
68 |
+
"special": true
|
69 |
+
},
|
70 |
+
"32005": {
|
71 |
+
"content": "<|function_call|>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": true,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
+
"32006": {
|
79 |
+
"content": "<|system|>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": true,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"32007": {
|
87 |
+
"content": "<|end|>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": true,
|
91 |
+
"single_word": false,
|
92 |
+
"special": true
|
93 |
+
},
|
94 |
+
"32008": {
|
95 |
+
"content": "<|raw|>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": true,
|
99 |
+
"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
+
"32009": {
|
103 |
+
"content": "<|continue|>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": true,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
+
"32010": {
|
111 |
+
"content": "<|user|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": true,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
},
|
118 |
+
"32011": {
|
119 |
+
"content": "<|function_list|>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": true,
|
123 |
+
"single_word": false,
|
124 |
+
"special": true
|
125 |
+
},
|
126 |
+
"32012": {
|
127 |
+
"content": "<|calc|>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": false,
|
130 |
+
"rstrip": true,
|
131 |
+
"single_word": false,
|
132 |
+
"special": true
|
133 |
+
},
|
134 |
+
"32013": {
|
135 |
+
"content": "<|code|>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": false,
|
138 |
+
"rstrip": true,
|
139 |
+
"single_word": false,
|
140 |
+
"special": true
|
141 |
+
},
|
142 |
+
"32014": {
|
143 |
+
"content": "<|/code|>",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": false,
|
146 |
+
"rstrip": true,
|
147 |
+
"single_word": false,
|
148 |
+
"special": true
|
149 |
+
},
|
150 |
+
"32015": {
|
151 |
+
"content": "<|summary|>",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": false,
|
154 |
+
"rstrip": true,
|
155 |
+
"single_word": false,
|
156 |
+
"special": true
|
157 |
+
},
|
158 |
+
"32016": {
|
159 |
+
"content": "<|resource|>",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": false,
|
162 |
+
"rstrip": true,
|
163 |
+
"single_word": false,
|
164 |
+
"special": true
|
165 |
+
},
|
166 |
+
"32017": {
|
167 |
+
"content": "<|assistant_mask|>",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": false,
|
170 |
+
"rstrip": true,
|
171 |
+
"single_word": false,
|
172 |
+
"special": true
|
173 |
+
},
|
174 |
+
"32018": {
|
175 |
+
"content": "<|start|>",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": false,
|
178 |
+
"rstrip": true,
|
179 |
+
"single_word": false,
|
180 |
+
"special": true
|
181 |
+
},
|
182 |
+
"32019": {
|
183 |
+
"content": "<|message|>",
|
184 |
+
"lstrip": false,
|
185 |
+
"normalized": false,
|
186 |
+
"rstrip": true,
|
187 |
+
"single_word": false,
|
188 |
+
"special": true
|
189 |
+
},
|
190 |
+
"32020": {
|
191 |
+
"content": "<|fim_prefix|>",
|
192 |
+
"lstrip": false,
|
193 |
+
"normalized": false,
|
194 |
+
"rstrip": true,
|
195 |
+
"single_word": false,
|
196 |
+
"special": true
|
197 |
+
},
|
198 |
+
"32021": {
|
199 |
+
"content": "<|fim_middle|>",
|
200 |
+
"lstrip": false,
|
201 |
+
"normalized": false,
|
202 |
+
"rstrip": true,
|
203 |
+
"single_word": false,
|
204 |
+
"special": true
|
205 |
+
},
|
206 |
+
"32022": {
|
207 |
+
"content": "<|fim_suffix|>",
|
208 |
+
"lstrip": false,
|
209 |
+
"normalized": false,
|
210 |
+
"rstrip": true,
|
211 |
+
"single_word": false,
|
212 |
+
"special": true
|
213 |
+
},
|
214 |
+
"32023": {
|
215 |
+
"content": "<|meta_start|>",
|
216 |
+
"lstrip": false,
|
217 |
+
"normalized": false,
|
218 |
+
"rstrip": true,
|
219 |
+
"single_word": false,
|
220 |
+
"special": true
|
221 |
+
},
|
222 |
+
"32024": {
|
223 |
+
"content": "<|ipynb_marker|>",
|
224 |
+
"lstrip": false,
|
225 |
+
"normalized": false,
|
226 |
+
"rstrip": true,
|
227 |
+
"single_word": false,
|
228 |
+
"special": true
|
229 |
+
},
|
230 |
+
"32025": {
|
231 |
+
"content": "<|diff_marker|>",
|
232 |
+
"lstrip": false,
|
233 |
+
"normalized": false,
|
234 |
+
"rstrip": true,
|
235 |
+
"single_word": false,
|
236 |
+
"special": true
|
237 |
+
},
|
238 |
+
"32026": {
|
239 |
+
"content": "<|ghissue|>",
|
240 |
+
"lstrip": false,
|
241 |
+
"normalized": false,
|
242 |
+
"rstrip": true,
|
243 |
+
"single_word": false,
|
244 |
+
"special": true
|
245 |
+
},
|
246 |
+
"32027": {
|
247 |
+
"content": "<|ghreview|>",
|
248 |
+
"lstrip": false,
|
249 |
+
"normalized": false,
|
250 |
+
"rstrip": true,
|
251 |
+
"single_word": false,
|
252 |
+
"special": true
|
253 |
+
},
|
254 |
+
"32028": {
|
255 |
+
"content": "<|disc_start|>",
|
256 |
+
"lstrip": false,
|
257 |
+
"normalized": false,
|
258 |
+
"rstrip": true,
|
259 |
+
"single_word": false,
|
260 |
+
"special": true
|
261 |
+
},
|
262 |
+
"32029": {
|
263 |
+
"content": "<|disc_sep|>",
|
264 |
+
"lstrip": false,
|
265 |
+
"normalized": false,
|
266 |
+
"rstrip": true,
|
267 |
+
"single_word": false,
|
268 |
+
"special": true
|
269 |
+
},
|
270 |
+
"32030": {
|
271 |
+
"content": "<|disc_thread|><|query|>",
|
272 |
+
"lstrip": false,
|
273 |
+
"normalized": false,
|
274 |
+
"rstrip": true,
|
275 |
+
"single_word": false,
|
276 |
+
"special": true
|
277 |
+
},
|
278 |
+
"32031": {
|
279 |
+
"content": "<|/query|>",
|
280 |
+
"lstrip": false,
|
281 |
+
"normalized": false,
|
282 |
+
"rstrip": true,
|
283 |
+
"single_word": false,
|
284 |
+
"special": true
|
285 |
+
},
|
286 |
+
"32032": {
|
287 |
+
"content": "<|data|>",
|
288 |
+
"lstrip": false,
|
289 |
+
"normalized": false,
|
290 |
+
"rstrip": true,
|
291 |
+
"single_word": false,
|
292 |
+
"special": true
|
293 |
+
},
|
294 |
+
"32033": {
|
295 |
+
"content": "<|/data|>",
|
296 |
+
"lstrip": false,
|
297 |
+
"normalized": false,
|
298 |
+
"rstrip": true,
|
299 |
+
"single_word": false,
|
300 |
+
"special": true
|
301 |
+
},
|
302 |
+
"32034": {
|
303 |
+
"content": "<|sys|>",
|
304 |
+
"lstrip": false,
|
305 |
+
"normalized": false,
|
306 |
+
"rstrip": true,
|
307 |
+
"single_word": false,
|
308 |
+
"special": true
|
309 |
+
},
|
310 |
+
"32035": {
|
311 |
+
"content": "<|/sys|>",
|
312 |
+
"lstrip": false,
|
313 |
+
"normalized": false,
|
314 |
+
"rstrip": true,
|
315 |
+
"single_word": false,
|
316 |
+
"special": true
|
317 |
+
},
|
318 |
+
"32036": {
|
319 |
+
"content": "<|inst|>",
|
320 |
+
"lstrip": false,
|
321 |
+
"normalized": false,
|
322 |
+
"rstrip": true,
|
323 |
+
"single_word": false,
|
324 |
+
"special": true
|
325 |
+
},
|
326 |
+
"32037": {
|
327 |
+
"content": "<|/inst|>",
|
328 |
+
"lstrip": false,
|
329 |
+
"normalized": false,
|
330 |
+
"rstrip": true,
|
331 |
+
"single_word": false,
|
332 |
+
"special": true
|
333 |
+
}
|
334 |
+
},
|
335 |
+
"additional_special_tokens": [
|
336 |
+
"<|/inst|>"
|
337 |
+
],
|
338 |
+
"bos_token": "<s>",
|
339 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
|
340 |
+
"clean_up_tokenization_spaces": false,
|
341 |
+
"eos_token": "<|endoftext|>",
|
342 |
+
"legacy": false,
|
343 |
+
"model_max_length": 4096,
|
344 |
+
"pad_token": "<|endoftext|>",
|
345 |
+
"padding_side": "left",
|
346 |
+
"sp_model_kwargs": {},
|
347 |
+
"spaces_between_special_tokens": false,
|
348 |
+
"tokenizer_class": "LlamaTokenizer",
|
349 |
+
"unk_token": "<unk>",
|
350 |
+
"use_default_system_prompt": false
|
351 |
+
}
|