初始化项目,由ModelHub XC社区提供模型
Model: viethq188/Rabbit-7B-DPO-Chat Source: Original Platform
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*.7z filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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license: apache-2.0
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---
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Merge AIDC-ai-business/Marcoroni-7B-v3 and rwitz/go-bruins-v2 using slerp merge from https://github.com/cg123/mergekit.
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After that we trained DPO with HF data
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*config.yaml*
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```
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slices:
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- sources:
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- model: AIDC-ai-business/Marcoroni-7B-v3
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layer_range: [0, 32]
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- model: rwitz/go-bruins-v2
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layer_range: [0, 32]
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merge_method: slerp
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base_model: AIDC-ai-business/Marcoroni-7B-v3
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: float16
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```
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You can use alpaca template.
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```
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template_format = """{system}
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### Instruction:
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{prompt}
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### Response:
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"""
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```
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config.json
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config.json
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{
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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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": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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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": "4.34.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.34.1"
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}
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||||||
|
"model.layers.31.mlp.up_proj.weight": "pytorch_model-00015-of-00015.bin",
|
||||||
|
"model.layers.31.post_attention_layernorm.weight": "pytorch_model-00015-of-00015.bin",
|
||||||
|
"model.layers.31.self_attn.k_proj.weight": "pytorch_model-00015-of-00015.bin",
|
||||||
|
"model.layers.31.self_attn.o_proj.weight": "pytorch_model-00015-of-00015.bin",
|
||||||
|
"model.layers.31.self_attn.q_proj.weight": "pytorch_model-00015-of-00015.bin",
|
||||||
|
"model.layers.31.self_attn.v_proj.weight": "pytorch_model-00015-of-00015.bin",
|
||||||
|
"model.layers.4.input_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.4.mlp.down_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.4.mlp.gate_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.4.mlp.up_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.4.post_attention_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.4.self_attn.k_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.4.self_attn.o_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.4.self_attn.q_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.4.self_attn.v_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.5.input_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.5.mlp.down_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.5.mlp.gate_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.5.mlp.up_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.5.post_attention_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.5.self_attn.k_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.5.self_attn.o_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.5.self_attn.q_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.5.self_attn.v_proj.weight": "pytorch_model-00003-of-00015.bin",
|
||||||
|
"model.layers.6.input_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.6.mlp.down_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.6.mlp.gate_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.6.mlp.up_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.6.post_attention_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.6.self_attn.k_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.6.self_attn.o_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.6.self_attn.q_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.6.self_attn.v_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.7.input_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.7.mlp.down_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.7.mlp.gate_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.7.mlp.up_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.7.post_attention_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.7.self_attn.k_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.7.self_attn.o_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.7.self_attn.q_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.7.self_attn.v_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.8.input_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00004-of-00015.bin",
|
||||||
|
"model.layers.9.input_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00005-of-00015.bin",
|
||||||
|
"model.norm.weight": "pytorch_model-00015-of-00015.bin"
|
||||||
|
}
|
||||||
|
}
|
||||||
28
special_tokens_map.json
Normal file
28
special_tokens_map.json
Normal file
@@ -0,0 +1,28 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<unk>",
|
||||||
|
"<s>",
|
||||||
|
"</s>"
|
||||||
|
],
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "</s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"unk_token": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
46
tokenizer_config.json
Normal file
46
tokenizer_config.json
Normal file
@@ -0,0 +1,46 @@
|
|||||||
|
{
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"0": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"1": {
|
||||||
|
"content": "<s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"2": {
|
||||||
|
"content": "</s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<unk>",
|
||||||
|
"<s>",
|
||||||
|
"</s>"
|
||||||
|
],
|
||||||
|
"bos_token": "<s>",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "</s>",
|
||||||
|
"legacy": true,
|
||||||
|
"model_max_length": 1000000000000000019884624838656,
|
||||||
|
"pad_token": null,
|
||||||
|
"padding_side": "left",
|
||||||
|
"sp_model_kwargs": {},
|
||||||
|
"spaces_between_special_tokens": false,
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "LlamaTokenizer",
|
||||||
|
"unk_token": "<unk>",
|
||||||
|
"use_default_system_prompt": true
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user