rizla commited on
Commit
464dc5a
1 Parent(s): c901a73

Upload folder using huggingface_hub

Browse files
README.md CHANGED
@@ -1,3 +1,51 @@
1
  ---
2
- license: cc-by-nc-nd-3.0
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ base_model: []
3
+ library_name: transformers
4
+ tags:
5
+ - mergekit
6
+ - merge
7
+
8
  ---
9
+ # merged2
10
+
11
+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
12
+
13
+ ## Merge Details
14
+ ### Merge Method
15
+
16
+ This model was merged using the passthrough merge method.
17
+
18
+ ### Models Merged
19
+
20
+ The following models were included in the merge:
21
+ * /home/ubuntu/nvm/mathdpo
22
+
23
+ ### Configuration
24
+
25
+ The following YAML configuration was used to produce this model:
26
+
27
+ ```yaml
28
+ dtype: bfloat16
29
+ merge_method: passthrough
30
+ slices:
31
+ - sources:
32
+ - layer_range: [0, 7]
33
+ model:
34
+ model:
35
+ path: /home/ubuntu/nvm/mathdpo
36
+ - sources:
37
+ - layer_range: [9, 12]
38
+ model:
39
+ model:
40
+ path: /home/ubuntu/nvm/mathdpo
41
+ - sources:
42
+ - layer_range: [14, 17]
43
+ model:
44
+ model:
45
+ path: /home/ubuntu/nvm/mathdpo
46
+ - sources:
47
+ - layer_range: [19, 32]
48
+ model:
49
+ model:
50
+ path: /home/ubuntu/nvm/mathdpo
51
+ ```
config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/home/ubuntu/nvm/mathdpo",
3
+ "architectures": [
4
+ "MixtralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 14336,
13
+ "max_position_embeddings": 32768,
14
+ "model_type": "mixtral",
15
+ "num_attention_heads": 32,
16
+ "num_experts_per_tok": 2,
17
+ "num_hidden_layers": 26,
18
+ "num_key_value_heads": 8,
19
+ "num_local_experts": 2,
20
+ "output_router_logits": false,
21
+ "pad_token_id": 2,
22
+ "rms_norm_eps": 1e-05,
23
+ "rope_theta": 10000.0,
24
+ "router_aux_loss_coef": 0.001,
25
+ "sliding_window": null,
26
+ "tie_word_embeddings": false,
27
+ "torch_dtype": "bfloat16",
28
+ "transformers_version": "4.37.2",
29
+ "unsloth_version": "2024.1",
30
+ "use_cache": true,
31
+ "vocab_size": 32000
32
+ }
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8e3966565c1793369266e86b9efcb39790ac0c3201fe0ac787dc67df9e6859af
3
+ size 9892507920
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d549e5209d3c58396092afe96dc711d634fa25ce130870dee2e89c331145c357
3
+ size 8952958096
model.safetensors.index.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"metadata": {"mergekit_version": "0.0.4.1"}, "weight_map": {"model.layers.5.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.5.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.5.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.5.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.5.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.5.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.5.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.4.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.4.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.4.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.4.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.4.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.4.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.4.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.3.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.3.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.3.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.3.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.3.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.3.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.3.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.2.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.2.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.2.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.2.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.2.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.2.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.2.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.embed_tokens.weight": "model-00001-of-00002.safetensors", "model.layers.9.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.9.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.9.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.9.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.9.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.9.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.9.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.8.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.8.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.8.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.8.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.8.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.8.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.8.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.7.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.7.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.7.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.7.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.7.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.7.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.7.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.6.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.6.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.6.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.6.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.6.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.6.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.6.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.12.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.12.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.12.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.12.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.12.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.12.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.12.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.11.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.11.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.11.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.11.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.11.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.11.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.11.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.10.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.10.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.10.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.10.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.10.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.10.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.10.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.18.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.18.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.18.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.18.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.18.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.18.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.17.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.17.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.17.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.17.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.17.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.17.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.17.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.16.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.16.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.16.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.16.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.16.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.16.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.16.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.15.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.15.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.15.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.15.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.15.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.15.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.15.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.14.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.14.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.14.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.14.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.14.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.14.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.14.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.13.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.13.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.13.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.13.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.13.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.13.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.13.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.25.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.24.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.24.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.24.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.24.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.24.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.24.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.24.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.23.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.23.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.23.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.23.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.23.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.23.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.23.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.22.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.22.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.22.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.22.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.22.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.22.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.22.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.21.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.21.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.21.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.21.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.21.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.21.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.21.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.20.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.20.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.20.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.20.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.20.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.20.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.20.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.19.block_sparse_moe.gate.weight": "model-00002-of-00002.safetensors", "model.layers.19.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.19.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.19.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.19.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.19.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.19.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors", "model.layers.18.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "lm_head.weight": "model-00002-of-00002.safetensors", "model.norm.weight": "model-00002-of-00002.safetensors", "model.layers.25.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00002.safetensors", "model.layers.25.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00002.safetensors", "model.layers.25.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00002.safetensors", "model.layers.25.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00002.safetensors", "model.layers.25.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00002.safetensors", "model.layers.25.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00002.safetensors"}}
special_tokens_map.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<unk>",
4
+ "<s>",
5
+ "</s>"
6
+ ],
7
+ "bos_token": {
8
+ "content": "<s>",
9
+ "lstrip": false,
10
+ "normalized": false,
11
+ "rstrip": false,
12
+ "single_word": false
13
+ },
14
+ "eos_token": {
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "pad_token": {
22
+ "content": "<s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ },
28
+ "unk_token": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false
34
+ }
35
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "additional_special_tokens": [
31
+ "<unk>",
32
+ "<s>",
33
+ "</s>"
34
+ ],
35
+ "bos_token": "<s>",
36
+ "clean_up_tokenization_spaces": false,
37
+ "eos_token": "</s>",
38
+ "legacy": true,
39
+ "max_length": null,
40
+ "model_max_length": 255,
41
+ "pad_to_multiple_of": null,
42
+ "pad_token": "<s>",
43
+ "pad_token_type_id": 0,
44
+ "padding_side": "left",
45
+ "sp_model_kwargs": {},
46
+ "spaces_between_special_tokens": false,
47
+ "tokenizer_class": "LlamaTokenizer",
48
+ "unk_token": "<unk>",
49
+ "use_default_system_prompt": false
50
+ }