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Browse files- README.md +73 -0
- added_tokens.json +4 -0
- config.json +26 -0
- mergekit_config.yml +41 -0
- model-00001-of-00011.safetensors +3 -0
- model-00002-of-00011.safetensors +3 -0
- model-00003-of-00011.safetensors +3 -0
- model-00004-of-00011.safetensors +3 -0
- model-00005-of-00011.safetensors +3 -0
- model-00006-of-00011.safetensors +3 -0
- model-00007-of-00011.safetensors +3 -0
- model-00008-of-00011.safetensors +3 -0
- model-00009-of-00011.safetensors +3 -0
- model-00010-of-00011.safetensors +3 -0
- model-00011-of-00011.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +27 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +62 -0
README.md
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---
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base_model:
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- FuseAI/FuseChat-7B-VaRM
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- SanjiWatsuki/Kunoichi-DPO-v2-7B
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# FUSECHAT-VaRM-Kunoichi-10.7b.v1
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
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### Models Merged
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The following models were included in the merge:
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* [FuseAI/FuseChat-7B-VaRM](https://huggingface.co/FuseAI/FuseChat-7B-VaRM)
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* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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merge_method: linear # use linear so we can include multiple models, albeit at a zero weight
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parameters:
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weight: 1.0 # weight everything as 1 unless specified otherwise - linear with one model weighted at 1 is a no-op like passthrough
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slices:
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- sources:
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- model: FuseAI/FuseChat-7B-VaRM # embed_tokens comes along with the ride with whatever is the first layer
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layer_range: [0, 1]
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- model: SanjiWatsuki/Kunoichi-DPO-v2-7B # add dummy second model with 0 weight so tokenizer-based merge routine is invoked for embed_tokens
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layer_range: [0, 1]
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parameters:
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weight: 0
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- sources:
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- model: FuseAI/FuseChat-7B-VaRM
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layer_range: [1, 5]
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- sources:
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- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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layer_range: [5, 7] # 2 layers
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- sources:
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- model: FuseAI/FuseChat-7B-VaRM
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layer_range: [5, 15]
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- sources:
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- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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layer_range: [15, 27] # 12 layers
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- sources:
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- model: FuseAI/FuseChat-7B-VaRM
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layer_range: [15, 27]
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- sources:
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- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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layer_range: [27, 29] # 2 layers
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- sources:
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- model: FuseAI/FuseChat-7B-VaRM
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layer_range: [27, 31]
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- sources: # same as above, but for lm_head with the last layer
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- model: FuseAI/FuseChat-7B-VaRM
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layer_range: [31, 32]
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- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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layer_range: [31, 32]
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parameters:
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weight: 0
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dtype: float16
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tokenizer_source: model:FuseAI/FuseChat-7B-VaRM # keep exact tokenizer used by dolphin - or you could use `union` if you add all of the input models to the first/last slice
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```
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added_tokens.json
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{
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"<|end_of_turn|>": 32000,
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"<|pad_0|>": 32001
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}
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config.json
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{
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"_name_or_path": "FuseAI/FuseChat-7B-VaRM",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 32000,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 32002
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}
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mergekit_config.yml
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merge_method: linear # use linear so we can include multiple models, albeit at a zero weight
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parameters:
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weight: 1.0 # weight everything as 1 unless specified otherwise - linear with one model weighted at 1 is a no-op like passthrough
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4 |
+
slices:
|
5 |
+
- sources:
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- model: FuseAI/FuseChat-7B-VaRM # embed_tokens comes along with the ride with whatever is the first layer
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layer_range: [0, 1]
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- model: SanjiWatsuki/Kunoichi-DPO-v2-7B # add dummy second model with 0 weight so tokenizer-based merge routine is invoked for embed_tokens
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layer_range: [0, 1]
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parameters:
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weight: 0
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- sources:
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- model: FuseAI/FuseChat-7B-VaRM
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layer_range: [1, 5]
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+
- sources:
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- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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layer_range: [5, 7] # 2 layers
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- sources:
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+
- model: FuseAI/FuseChat-7B-VaRM
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layer_range: [5, 15]
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+
- sources:
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+
- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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layer_range: [15, 27] # 12 layers
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- sources:
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+
- model: FuseAI/FuseChat-7B-VaRM
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layer_range: [15, 27]
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+
- sources:
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+
- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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layer_range: [27, 29] # 2 layers
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+
- sources:
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+
- model: FuseAI/FuseChat-7B-VaRM
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+
layer_range: [27, 31]
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+
- sources: # same as above, but for lm_head with the last layer
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- model: FuseAI/FuseChat-7B-VaRM
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layer_range: [31, 32]
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- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
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layer_range: [31, 32]
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parameters:
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weight: 0
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dtype: float16
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tokenizer_source: model:FuseAI/FuseChat-7B-VaRM # keep exact tokenizer used by dolphin - or you could use `union` if you add all of the input models to the first/last slice
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model-00001-of-00011.safetensors
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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.0.4.1"}, "weight_map": {"model.layers.46.mlp.down_proj.weight": "model-00001-of-00011.safetensors", "model.layers.46.mlp.gate_proj.weight": "model-00001-of-00011.safetensors", "model.layers.46.mlp.up_proj.weight": "model-00001-of-00011.safetensors", "model.layers.46.post_attention_layernorm.weight": "model-00001-of-00011.safetensors", "model.layers.46.self_attn.o_proj.weight": "model-00001-of-00011.safetensors", "model.layers.46.self_attn.v_proj.weight": "model-00001-of-00011.safetensors", "model.layers.46.self_attn.k_proj.weight": "model-00001-of-00011.safetensors", "model.layers.46.self_attn.q_proj.weight": "model-00001-of-00011.safetensors", "model.layers.46.input_layernorm.weight": "model-00001-of-00011.safetensors", "model.layers.45.mlp.down_proj.weight": "model-00001-of-00011.safetensors", "model.layers.45.mlp.gate_proj.weight": "model-00001-of-00011.safetensors", "model.layers.45.mlp.up_proj.weight": "model-00001-of-00011.safetensors", 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tokenizer.json
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tokenizer.model
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24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"32000": {
|
30 |
+
"content": "<|end_of_turn|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"32001": {
|
38 |
+
"content": "<|pad_0|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
}
|
45 |
+
},
|
46 |
+
"additional_special_tokens": [
|
47 |
+
"<|end_of_turn|>",
|
48 |
+
"<|pad_0|>"
|
49 |
+
],
|
50 |
+
"bos_token": "<s>",
|
51 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{{ 'GPT4 Correct ' + message['role'].title() + ': ' + message['content'] + '<|end_of_turn|>'}}{% endfor %}{% if add_generation_prompt %}{{ 'GPT4 Correct Assistant:' }}{% endif %}",
|
52 |
+
"clean_up_tokenization_spaces": false,
|
53 |
+
"eos_token": "<|end_of_turn|>",
|
54 |
+
"legacy": true,
|
55 |
+
"model_max_length": 1000000000000000019884624838656,
|
56 |
+
"pad_token": null,
|
57 |
+
"sp_model_kwargs": {},
|
58 |
+
"spaces_between_special_tokens": false,
|
59 |
+
"tokenizer_class": "LlamaTokenizer",
|
60 |
+
"unk_token": "<unk>",
|
61 |
+
"use_default_system_prompt": true
|
62 |
+
}
|