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--- |
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base_model: |
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- mistralai/Mixtral-8x22B-Instruct-v0.1 |
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- mistralai/Mixtral-8x7B-Instruct-v0.1 |
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- cognitivecomputations/dolphin-2.7-mixtral-8x7b |
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- alpindale/WizardLM-2-8x22B |
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datasets: |
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- ehartford/dolphin |
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- jondurbin/airoboros-2.2.1 |
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- ehartford/dolphin-coder |
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- migtissera/Synthia-v1.3 |
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- teknium/openhermes |
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- ise-uiuc/Magicoder-OSS-Instruct-75K |
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- ise-uiuc/Magicoder-Evol-Instruct-110K |
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- LDJnr/Pure-Dove |
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library_name: transformers |
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tags: |
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- mixtral |
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- mixtral-8x22b |
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- mixtral-8x7b |
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- instruct |
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- merge |
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pipeline_tag: text-generation |
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license: apache-2.0 |
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language: |
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- en |
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- fr |
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- de |
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- es |
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- it |
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--- |
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# Gixtral 100B (Mixtral from 8x22B & 8x7B to 100B) |
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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, German, Spanish, Italian |
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- **Finetuned from model:** [mistralai/Mixtral-8x22B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1) & [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) |
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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/Gixtral-100B" |
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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/Mixtral-8x22B-Instruct-v0.1 & mistralai/Mixtral-8x7B-Instruct-v0.1 |
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Merge models: |
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- mistralai/Mixtral-8x22B-Instruct-v0.1 |
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- mistralai/Mixtral-8x7B-Instruct-v0.1 |
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- cognitivecomputations/dolphin-2.7-mixtral-8x7b |
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- alpindale/WizardLM-2-8x22B |
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Merge datasets: |
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- ehartford/dolphin |
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- jondurbin/airoboros-2.2.1 |
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- ehartford/dolphin-coder |
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- migtissera/Synthia-v1.3 |
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- teknium/openhermes |
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- ise-uiuc/Magicoder-OSS-Instruct-75K |
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- ise-uiuc/Magicoder-Evol-Instruct-110K |
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- LDJnr/Pure-Dove |
