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--- |
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base_model: |
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- Gaivoronsky/Mistral-7B-Saiga |
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- snorkelai/Snorkel-Mistral-PairRM-DPO |
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- OpenBuddy/openbuddy-mistral2-7b-v20.3-32k |
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- meta-math/MetaMath-Mistral-7B |
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- HuggingFaceH4/mistral-7b-grok |
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- HuggingFaceH4/mistral-7b-anthropic |
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- NousResearch/Yarn-Mistral-7b-128k |
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- ajibawa-2023/Code-Mistral-7B |
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- SherlockAssistant/Mistral-7B-Instruct-Ukrainian |
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datasets: |
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- HuggingFaceH4/grok-conversation-harmless |
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- HuggingFaceH4/ultrachat_200k |
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- HuggingFaceH4/ultrafeedback_binarized_fixed |
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- HuggingFaceH4/cai-conversation-harmless |
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- meta-math/MetaMathQA |
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- emozilla/yarn-train-tokenized-16k-mistral |
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- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset |
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- microsoft/orca-math-word-problems-200k |
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- m-a-p/Code-Feedback |
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- teknium/openhermes |
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- lksy/ru_instruct_gpt4 |
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- IlyaGusev/ru_turbo_saiga |
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- IlyaGusev/ru_sharegpt_cleaned |
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- IlyaGusev/oasst1_ru_main_branch |
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library_name: transformers |
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tags: |
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- mistral |
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- gistral |
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- gistral-16b |
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- multilingual |
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- code |
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- metamath |
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- grok |
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- anthropic |
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- openhermes |
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- instruct |
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- merge |
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language: |
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- en |
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- fr |
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- ru |
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- de |
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- ja |
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- ko |
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- zh |
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- it |
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- uk |
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- multilingual |
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- code |
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pipeline_tag: text-generation |
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--- |
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# Gistral 16B (Mistral from 7B to 16B) |
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We created a model from other cool models to combine everything into one cool model. |
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## Model Details |
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### Model Description |
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- **Developed by:** [@ehristoforu](https://huggingface.co/ehristoforu) |
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- **Model type:** Text Generation (conversational) |
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- **Language(s) (NLP):** English, French, Russian, German, Japanese, Chinese, Korean, Italian, Ukrainian, Code |
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- **Finetuned from model:** [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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```py |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_id = "ehristoforu/Gistral-16B-v0.1" |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto") |
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messages = [ |
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{"role": "user", "content": "What is your favourite condiment?"}, |
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{"role": "assistant", "content": "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!"}, |
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{"role": "user", "content": "Do you have mayonnaise recipes?"} |
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] |
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inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to("cuda") |
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outputs = model.generate(inputs, max_new_tokens=20) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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``` |
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## About merge |
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Base model: mistralai/Mistral-7B-Instruct-v0.2 |
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Merge models: |
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- Gaivoronsky/Mistral-7B-Saiga |
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- snorkelai/Snorkel-Mistral-PairRM-DPO |
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- OpenBuddy/openbuddy-mistral2-7b-v20.3-32k |
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- meta-math/MetaMath-Mistral-7B |
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- HuggingFaceH4/mistral-7b-grok |
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- HuggingFaceH4/mistral-7b-anthropic |
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- NousResearch/Yarn-Mistral-7b-128k |
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- ajibawa-2023/Code-Mistral-7B |
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- SherlockAssistant/Mistral-7B-Instruct-Ukrainian |
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Merge datasets: |
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- HuggingFaceH4/grok-conversation-harmless |
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- HuggingFaceH4/ultrachat_200k |
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- HuggingFaceH4/ultrafeedback_binarized_fixed |
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- HuggingFaceH4/cai-conversation-harmless |
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- meta-math/MetaMathQA |
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- emozilla/yarn-train-tokenized-16k-mistral |
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- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset |
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- microsoft/orca-math-word-problems-200k |
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- m-a-p/Code-Feedback |
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- teknium/openhermes |
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- lksy/ru_instruct_gpt4 |
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- IlyaGusev/ru_turbo_saiga |
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- IlyaGusev/ru_sharegpt_cleaned |
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- IlyaGusev/oasst1_ru_main_branch |
