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README.md
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| 1 |
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---
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base_model: NiuTrans/LMT-60-8B
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datasets:
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- NiuTrans/LMT-60-sft-data
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language:
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- en
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- zh
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- ar
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- es
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- de
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- fr
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- it
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- ja
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- nl
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- pl
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- pt
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- ru
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- tr
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- bg
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- bn
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- cs
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- da
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- el
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- fa
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- fi
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- hi
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- hu
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- id
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- ko
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- nb
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- ro
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- sk
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- sv
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- th
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- uk
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- vi
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- am
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- az
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- bo
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- he
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- hr
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- hy
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- is
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- jv
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- ka
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- kk
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- km
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- ky
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- lo
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- mn
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- mr
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- ms
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- my
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- ne
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- ps
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- si
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- sw
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- ta
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- te
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- tg
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- tl
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- ug
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- ur
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- uz
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- yue
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license: apache-2.0
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metrics:
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- bleu
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- comet
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pipeline_tag: translation
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library_name: transformers
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tags:
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- mlx
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---
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# wzqww23/LMT-60-8B-mlx-8Bit
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The Model [wzqww23/LMT-60-8B-mlx-8Bit](https://huggingface.co/wzqww23/LMT-60-8B-mlx-8Bit) was converted to MLX format from [NiuTrans/LMT-60-8B](https://huggingface.co/NiuTrans/LMT-60-8B) using mlx-lm version **0.28.3**.
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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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| 87 |
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from mlx_lm import load, generate
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model, tokenizer = load("wzqww23/LMT-60-8B-mlx-8Bit")
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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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