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SpectraSuite_-_FloatLM_3.9B-4bits
RichardErkhov/SpectraSuite_-_FloatLM_3.9B-4bits
SpectraSuite_-_FloatLM_3.9B-4bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
FloatLM_3.9B - bnb 4bits
- Model creator: https://huggingface.co/SpectraSuite/
- Original model: https://huggingface.co/SpectraSuite/FloatLM_3.9B/
Original model description:
license: apache-2.0
FloatLM 3.9B
The good ol' FP16 LLMs with LLaMa architecture.
import transformers as tf, torch
model_name = "SpectraSuite/FloatLM_3.9B"
# Please adjust the temperature, repetition penalty, top_k, top_p and other sampling parameters according to your needs.
pipeline = tf.pipeline("text-generation", model=model_id, model_kwargs={"torch_dtype": torch.float16}, device_map="auto")
# These are base (pretrained) LLMs that are not instruction and chat tuned. You may need to adjust your prompt accordingly.
pipeline("Once upon a time")
- License: Apache 2.0
- 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
- Type
- llama
- Created
- Jan 24, 2025
- Updated
- Jan 24, 2025