commit 0166a422ef5c7e283151bfba3235011c66e353a1 Author: ModelHub XC Date: Mon Jun 8 22:53:15 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: migtissera/SynthIA-7B-v1.3 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..517f0fc --- /dev/null +++ b/.gitattributes @@ -0,0 +1,53 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text + + +*.bz2 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 + +*.msgpack 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 +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* 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 +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +SynthIA.png filter=lfs diff=lfs merge=lfs -text +tokenizer.model filter=lfs diff=lfs merge=lfs -text +pytorch_model-00002-of-00002.bin filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text +pytorch_model-00001-of-00002.bin filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..fd89aa5 --- /dev/null +++ b/README.md @@ -0,0 +1,182 @@ +--- +license: apache-2.0 +pipeline_tag: text-generation +language: +- en +library_name: transformers +--- + +SynthIA-7B-v1.3: Base model is Mistral-7B-v0.1 + +All SynthIA models are uncensored. Please use it with caution and with best intentions. You are responsible for how you use SynthIA. + +To evoke generalized Tree of Thought + Chain of Thought reasoning, you may use the following system message: +``` +Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation. +``` + +# SynthIA-7B-v1.3 +SynthIA (Synthetic Intelligent Agent) 7B-v1.3 is a Mistral-7B-v0.1 model trained on Orca style datasets. It has been fine-tuned for instruction following as well as having long-form conversations. + +
+ +![Synthia](https://huggingface.co/migtissera/Synthia-13B/resolve/main/Synthia.jpeg) + +
+ + +
+ +#### License Disclaimer: + +This model is released under Apache 2.0, and comes with no warranty or gurantees of any kind. + +
+ +## Evaluation + +We evaluated SynthIA-7B-v1.3 on a wide range of tasks using [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) from EleutherAI. + +Here are the results on metrics used by [HuggingFaceH4 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) + +|||| +|:------:|:--------:|:-------:| +|**Task**|**Metric**|**Value**| +|*arc_challenge*|acc_norm|0.6237| +|*hellaswag*|acc_norm|0.8349| +|*mmlu*|acc_norm|0.6232| +|*truthfulqa_mc*|mc2|0.5125| +|**Total Average**|-|**0.6485**|| + +
+ +## Example Usage + +### Here is prompt format: + +``` +SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation. +USER: How is a rocket launched from the surface of the earth to Low Earth Orbit? +ASSISTANT: +``` + +### Below shows a code example on how to use this model: + +```python +import torch, json +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_path = "migtissera/SynthIA-7B-v1.3" +output_file_path = "./SynthIA-7B-conversations.jsonl" + +model = AutoModelForCausalLM.from_pretrained( + model_path, + torch_dtype=torch.float16, + device_map="auto", + load_in_8bit=False, + trust_remote_code=True, +) + +tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True) + + +def generate_text(instruction): + tokens = tokenizer.encode(instruction) + tokens = torch.LongTensor(tokens).unsqueeze(0) + tokens = tokens.to("cuda") + + instance = { + "input_ids": tokens, + "top_p": 1.0, + "temperature": 0.75, + "generate_len": 1024, + "top_k": 50, + } + + length = len(tokens[0]) + with torch.no_grad(): + rest = model.generate( + input_ids=tokens, + max_length=length + instance["generate_len"], + use_cache=True, + do_sample=True, + top_p=instance["top_p"], + temperature=instance["temperature"], + top_k=instance["top_k"], + num_return_sequences=1, + ) + output = rest[0][length:] + string = tokenizer.decode(output, skip_special_tokens=True) + answer = string.split("USER:")[0].strip() + return f"{answer}" + + +conversation = f"SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation." + + +while True: + user_input = input("You: ") + llm_prompt = f"{conversation} \nUSER: {user_input} \nASSISTANT: " + answer = generate_text(llm_prompt) + print(answer) + conversation = f"{llm_prompt}{answer}" + json_data = {"prompt": user_input, "answer": answer} + + ## Save your conversation + with open(output_file_path, "a") as output_file: + output_file.write(json.dumps(json_data) + "\n") + +``` + +
+ +#### Limitations & Biases: + +While this model aims for accuracy, it can occasionally produce inaccurate or misleading results. + +Despite diligent efforts in refining the pretraining data, there remains a possibility for the generation of inappropriate, biased, or offensive content. + +Exercise caution and cross-check information when necessary. This is an uncensored model. + + +
+ +### Citiation: + +Please kindly cite using the following BibTeX: + +``` +@misc{SynthIA-7B-v1.3, + author = {Migel Tissera}, + title = {SynthIA-7B-v1.3: Synthetic Intelligent Agent}, + year = {2023}, + publisher = {GitHub, HuggingFace}, + journal = {GitHub repository, HuggingFace repository}, + howpublished = {\url{https://huggingface.co/migtissera/Synthia-13B}, +} +``` + +``` +@misc{mukherjee2023orca, + title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4}, + author={Subhabrata Mukherjee and Arindam Mitra and Ganesh Jawahar and Sahaj Agarwal and Hamid Palangi and Ahmed Awadallah}, + year={2023}, + eprint={2306.02707}, + archivePrefix={arXiv}, + primaryClass={cs.CL} +} +``` + +# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) +Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_migtissera__SynthIA-7B-v1.3) + +| Metric | Value | 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