From 26a2940b840920b542a35f6131d0637795838853 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 8 Jun 2026 21:09:19 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: YeungNLP/firefly-llama-13b Source: Original Platform --- .gitattributes | 35 +++ README.md | 22 ++ config.json | 24 ++ generation_config.json | 7 + pytorch_model-00001-of-00003.bin | 3 + pytorch_model-00002-of-00003.bin | 3 + pytorch_model-00003-of-00003.bin | 3 + pytorch_model.bin.index.json | 410 +++++++++++++++++++++++++++++++ special_tokens_map.json | 23 ++ tokenizer.model | 3 + tokenizer_config.json | 33 +++ 11 files changed, 566 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json 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filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..0f0f459 --- /dev/null +++ b/README.md @@ -0,0 +1,22 @@ +该模型使用llama-13b,使用UltraChat数据集进行指令微调,约140万多轮对话数据。仅需一张显卡即可完成训练。 + +firefly-llama-13b在🤗Hugging Face的Open LLM榜单上进行了客观的评测。 + +在榜单上,firefly-llama-13b取得了不错的效果,比vicuna-13b-1.1略高0.2分,比llama-2-13b-chat略低0.5分,比vicuna-13b-v1.3略低0.6分。从评测分数来看,firefly-llama-13b与vicuna-13b、llama-2-13b-chat的水平非常接近😎。 + +| 模型 | Average | ARC | HellaSwag | MMLU | TruthfulQA (MC) | +|--------------------------------------------------------------------------------|-------|----------------------|------------|------------|------| +| Llama-2-70b-chat-hf | 66.8 | 64.6 | 85.9 | 63.9 | 52.8 | +| vicuna-13b-v1.3 | 60 | 54.6 | 80.4 | 52.9 | 52.1 | +| Llama-2-13b-chat-hf | 59.9 | 59 | 81.9 | 54.6 | 44.1 | +| firefly-llama-13b |59.4 | 59 | 79.7 | 49.1 | 49.6 | +| vicuna-13b-1.1 | 59.2 | 52.7 | 80.1 |51.9 | 52.1 | +| guanaco-13B-HF | 59.1 | 57.8 | 83.8 |48.3 | 46.7| + +值得注意的是,vicuna-13b模型采用的是全量参数微调,对训练资源的要求十分高。而firefly-llama-13b采用的则是QLoRA微调,最少仅需16G显存,即可对13B的模型进行微调。 + +详细介绍见文章:[Firefly单卡复刻Vicuna-13B,Open LLM榜单🤗略高0.2分](https://mp.weixin.qq.com/s/QG2YMo_QxaxS_Rr2yJrIeA) + +更多详情见[Firefly项目](https://github.com/yangjianxin1/Firefly) + +[Open LLM排行榜](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..64b58c0 --- /dev/null +++ b/config.json @@ -0,0 +1,24 @@ +{ + "_name_or_path": "checkpoint/firefly-ultralm-13b-merge", + "architectures": [ + "LlamaForCausalLM" + ], + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 5120, + "initializer_range": 0.02, + "intermediate_size": 13824, + "max_position_embeddings": 2048, + "max_sequence_length": 2048, + "model_type": "llama", + "num_attention_heads": 40, + "num_hidden_layers": 40, + "pad_token_id": 0, + "rms_norm_eps": 1e-06, + "tie_word_embeddings": false, + 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