From b88ece65cd7ea20b87badf00953a177669bed6a3 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 7 May 2026 12:05:58 +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: lodrick-the-lafted/Hermes-Instruct-7B-217K Source: Original Platform --- .gitattributes | 36 ++++ README.md | 62 +++++++ config.json | 26 +++ generation_config.json | 7 + hermes-instruct.png | 3 + model-00001-of-00003.safetensors | 3 + model-00002-of-00003.safetensors | 3 + model-00003-of-00003.safetensors | 3 + model.safetensors.index.json | 298 +++++++++++++++++++++++++++++++ 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 | 298 +++++++++++++++++++++++++++++++ special_tokens_map.json | 24 +++ tokenizer.model | 3 + tokenizer_config.json | 44 +++++ 16 files changed, 819 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 hermes-instruct.png create mode 100644 model-00001-of-00003.safetensors create mode 100644 model-00002-of-00003.safetensors create mode 100644 model-00003-of-00003.safetensors create mode 100644 model.safetensors.index.json create mode 100644 pytorch_model-00001-of-00003.bin create mode 100644 pytorch_model-00002-of-00003.bin create mode 100644 pytorch_model-00003-of-00003.bin create mode 100644 pytorch_model.bin.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.model create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..37e8a0b --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +hermes-instruct.png filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..9dd4a6a --- /dev/null +++ b/README.md @@ -0,0 +1,62 @@ +--- +license: apache-2.0 +datasets: +- lodrick-the-lafted/Hermes-217K +--- + + + +# Hermes-Instruct-7B-217K + +[Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) trained with 217K rows of [teknium/openhermes](https://huggingface.co/datasets/teknium/openhermes), in Alpaca format. +Why? Mistral-7B-Instruct-v0.2 has native 32K context and rope theta of 1M. It's not a base model, so I've used the same recipe with different amounts of data to gauge the effects of further finetuning. + +
+
+ +# Prompt Format + +Both the default Mistral-Instruct tags and Alpaca are fine, so either: +``` +[INST] {sys_prompt} {instruction} [/INST] +``` + +or + + +``` +{sys_prompt} + +### Instruction: +{instruction} + +### Response: + +``` +The tokenizer default is Alpaca this time around. + +
+
+ +# Usage + +```python +from transformers import AutoTokenizer +import transformers +import torch + +model = "lodrick-the-lafted/Hermes-Instruct-7B-217K" + +tokenizer = AutoTokenizer.from_pretrained(model) +pipeline = transformers.pipeline( + "text-generation", + model=model, + model_kwargs={"torch_dtype": torch.bfloat16}, +) + +messages = [{"role": "user", "content": "Give me a cooking recipe for an apple pie."}] +prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) +outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_p=0.95) +print(outputs[0]["generated_text"]) +``` + diff --git a/config.json b/config.json new file mode 100644 index 0000000..fd10a66 --- /dev/null +++ b/config.json @@ -0,0 +1,26 @@ +{ + "_name_or_path": "lodrick-the-lafted/Hermes-Instruct-7B-217K", + "architectures": [ + "MistralForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": 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