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Komposter43/saiga2_70b_lora-AWQ
saiga2_70b_lora-AWQ is a text generation model from Komposter43. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
- Model creator: IlyaGusev - Original model: Saiga2 70B
Downloads · 30 days
17
5% of all-time downloads
All-time downloads
350
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Parameters
9.7B
36.6 GB on disk
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0
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.safetensors36.6 GB · 100%
How the weights are stored.
I328.6B · 89%
From the Hugging Face model README
This repo contains AWQ model files for Saiga2 70B
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference.
It is also now supported by continuous batching server vLLM, allowing use of AWQ models for high-throughput concurrent inference in multi-user server scenarios. Note that, at the time of writing, overall throughput is still lower than running vLLM with unquantised models, however using AWQ enables using much smaller GPUs which can lead to easier deployment and overall cost savings. For example, a 70B model can be run on 1 x 48GB GPU instead of 2 x 80GB.
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