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--- |
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license: wtfpl |
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language: |
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- en |
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- zh |
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- ja |
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- de |
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datasets: |
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- JosephusCheung/GuanacoDataset |
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- meta-math/MetaMathQA |
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- jondurbin/airoboros-3.1 |
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- WizardLM/WizardLM_evol_instruct_V2_196k |
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- RyokoAI/ShareGPT52K |
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- RyokoAI/Fandom23K |
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- milashkaarshif/MoeGirlPedia_wikitext_raw_archive |
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- wikipedia |
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- wiki_lingua |
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- garage-bAInd/Open-Platypus |
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- LDJnr/Puffin |
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- BAAI/COIG |
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- TigerResearch/tigerbot-zhihu-zh-10k |
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- liwu/MNBVC |
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- teknium/openhermes |
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- CausalLM/Refined-Anime-Text |
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- microsoft/orca-math-word-problems-200k |
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- m-a-p/CodeFeedback-Filtered-Instruction |
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base_model: CausalLM/35b-beta-long |
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tags: |
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- mlx |
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--- |
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# mlx-community/CausalLM-35b-beta-long-4bit |
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The Model [mlx-community/CausalLM-35b-beta-long-4bit](https://huggingface.co/mlx-community/CausalLM-35b-beta-long-4bit) was |
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converted to MLX format from [CausalLM/35b-beta-long](https://huggingface.co/CausalLM/35b-beta-long) |
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using mlx-lm version **0.20.4**. |
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## Use with mlx |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("mlx-community/CausalLM-35b-beta-long-4bit") |
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prompt="hello" |
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if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None: |
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messages = [{"role": "user", "content": prompt}] |
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prompt = tokenizer.apply_chat_template( |
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messages, tokenize=False, add_generation_prompt=True |
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) |
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response = generate(model, tokenizer, prompt=prompt, verbose=True) |
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``` |
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