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license: apache-2.0 |
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# QuantLM 390M 4 bit |
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QuantLM, unpacked to FP16 format - compatible with FP16 GEMMs. After unpacking, QuantLM has the same architecture as LLaMa. |
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```python |
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import transformers as tf, torch |
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model_name = "SpectraSuite/QuantLM_390M_4bit_Unpacked" |
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# Please adjust the temperature, repetition penalty, top_k, top_p and other sampling parameters according to your needs. |
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pipeline = tf.pipeline("text-generation", model=model_id, model_kwargs={"torch_dtype": torch.float16}, device_map="auto") |
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# These are base (pretrained) LLMs that are not instruction and chat tuned. You may need to adjust your prompt accordingly. |
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pipeline("Once upon a time") |
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``` |
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* License: Apache 2.0 |
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* We will use our GitHub repo for communication (including HF repo related queries). Feel free to open an issue here https://github.com/NolanoOrg/SpectraSuite |
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