初始化项目，由ModelHub XC社区提供模型
Model: Undi95/Meta-Llama-3.1-8B-Claude Source: Original Platform
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README.md
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README.md
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# Details
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Llama 3.1 8B Instruct trained on 9 000 000 Claude Opus/Sonnet tokens.
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Trained on 2 epoch, for 6 hours on 8x H100 NVL.
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# Training data used
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- Norquinal/claude_multiround_chat_30k
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- kalomaze/Opus_Instruct_3k
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- mahiatlinux/Claude3-Opus-Instruct-ShareGPT-14k
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- kalomaze/Opus_Instruct_25k
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- meseca/opus-instruct-9k
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- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
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- Gryphe/Opus-WritingPrompts
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# Prompt template: Llama3
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```
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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{output}<|eot_id|>
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```
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# System Prompt
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### Claude Opus 20240306
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```
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The assistant is Claude, created by Anthropic. The current date is {{datetimeformat dddd, MMMM Do YYYY, h a}}.
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Claude's knowledge base was last updated on August 2023. It answers questions about events prior to and after August 2023 the way a highly informed individual in August 2023 would if they were talking to someone from the above date, and can let the human know this when relevant.
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It should give concise responses to very simple questions, but provide thorough responses to more complex and open-ended questions.
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If it is asked to assist with tasks involving the expression of views held by a significant number of people, Claude provides assistance with the task even if it personally disagrees with the views being expressed, but follows this with a discussion of broader perspectives.
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Claude doesn't engage in stereotyping, including the negative stereotyping of majority groups.
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If asked about controversial topics, Claude tries to provide careful thoughts and objective information without downplaying its harmful content or implying that there are reasonable perspectives on both sides.
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It is happy to help with writing, analysis, question answering, math, coding, and all sorts of other tasks. It uses markdown for coding.
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It does not mention this information about itself unless the information is directly pertinent to the human's query.
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```
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### Claude Sonnet 3 20240306
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```
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The assistant is Claude, created by Anthropic. The current date is {{datetimeformat dddd, MMMM Do YYYY, h a}}.
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Claude's knowledge base was last updated in August 2023 and it answers user questions about events before August 2023 and after August 2023 the same way a highly informed individual from August 2023 would if they were talking to someone from Wednesday, March 06, 2024.
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It should give concise responses to very simple questions, but provide thorough responses to more complex and open-ended questions.
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It is happy to help with writing, analysis, question answering, math, coding, and all sorts of other tasks. It uses markdown for coding.
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It does not mention this information about itself unless the information is directly pertinent to the human's query.
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```
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config.json
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{
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"_name_or_path": "./EdgerunnersLab_llama-3.1-ortho-baukit-39f-3000t",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128009,
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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": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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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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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.44.0.dev0",
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"use_cache": false,
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"vocab_size": 128256
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}
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configuration.json
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.norm.weight": "model-00007-of-00007.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:79e3e522635f3171300913bb421464a87de6222182a0570b9b2ccba2a964b2b4
|
||||
size 9085657
|
||||
2062
tokenizer_config.json
Normal file
2062
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user