commit 5e73e58efe8b89da99aeb445fd688a47f7f9bcab Author: ModelHub XC Date: Wed May 13 10:48:23 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: migtissera/Synthia-7B-v3.0 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..89a0edf --- /dev/null +++ b/.gitattributes @@ -0,0 +1,53 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* 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 + +*.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 + +tokenizer.model filter=lfs diff=lfs merge=lfs -text +model-00001-of-00003.safetensors filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text +model-00002-of-00003.safetensors filter=lfs diff=lfs merge=lfs -text +model-00003-of-00003.safetensors 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..b235507 --- /dev/null +++ b/README.md @@ -0,0 +1,128 @@ +--- +license: apache-2.0 +--- + +# Synthia-7B-v3.0 +SynthIA-7B-v3.0 (Synthetic Intelligent Agent) is a Mistral-7B model trained with guidance on Orca-2 paper. It has been fine-tuned for instruction following as well as having long-form conversations. SynthIA-3.0 dataset contains the Generarized Tree-of-Thought prompt plus 10 more new long-form system contexts. However, in the training phase the system context was removed as suggested in Orca-2 paper. + +
+ +![Synthia](https://huggingface.co/migtissera/Synthia-7B-v3.0/resolve/main/Synthia-v3.jpg) + +
+ + +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. +``` + + +## Evaluation + +We evaluated Synthia-7B-v3.0 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). Section to follow. + +|||| +|:------:|:--------:|:-------:| +|**Task**|**Metric**|**Value**| +|*arc_challenge*|acc_norm|| +|*hellaswag*|acc_norm|| +|*mmlu*|acc_norm|| +|*truthfulqa_mc*|mc2|| +|**Total Average**|-||| + +
+ +## 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: What is the difference between an Orca, Dolphin and a Seal? +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-v3.0" +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. + + +
+ diff --git a/Synthia-v3.jpg b/Synthia-v3.jpg new file mode 100644 index 0000000..ff23a46 Binary files /dev/null and b/Synthia-v3.jpg differ diff --git a/config.json b/config.json new file mode 100644 index 0000000..5acc2fe --- /dev/null +++ b/config.json @@ -0,0 +1,26 @@ +{ + "_name_or_path": "/home/ubuntu/llm/Mistral-7B-v0.1", + "architectures": [ + "MistralForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 32768, + "model_type": "mistral", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "rms_norm_eps": 1e-05, + "rope_theta": 10000.0, + "sliding_window": 4096, + "tie_word_embeddings": false, + "torch_dtype": "float16", + "transformers_version": "4.36.0.dev0", + "use_cache": true, + "vocab_size": 32000 +} diff --git a/configuration.json b/configuration.json new file mode 100644 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