Optimised AWQ Quants for high-throughput deployments of Gemma2! Compatible with Transformers, TGI & VLLM 🤗
Hugging Quants
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Optimised quants for high-throughput deployments! Compatible with Transformers, TGI & vLLM 🤗
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Welcome to the home of exciting quantized models! We'd love to see increased adoption of powerful state-of-the-art open models, and quantization is a key component to make them work on more types of hardware.
Resources:
- Llama 3.1 Quantized Models: Optimised Quants of Llama 3.1 for high-throughput deployments! Compatible with Transformers, TGI & VLLM 🤗.
- Hugging Face Llama Recipes: A set of minimal recipes to get started with Llama 3.1.
Collections
3
Llama.cpp compatible quants for Llama 3.2 3B and 1B Instruct models.
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hugging-quants/Llama-3.2-3B-Instruct-Q8_0-GGUF
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hugging-quants/Llama-3.2-3B-Instruct-Q4_K_M-GGUF
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hugging-quants/Llama-3.2-1B-Instruct-Q8_0-GGUF
Text Generation • Updated • 385k • 27 -
hugging-quants/Llama-3.2-1B-Instruct-Q4_K_M-GGUF
Text Generation • Updated • 26k • 13
models
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hugging-quants/gemma-2-9b-it-AWQ-INT4
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hugging-quants/Mixtral-8x7B-Instruct-v0.1-AWQ-INT4
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hugging-quants/Llama-3.2-1B-Instruct-Q4_K_M-GGUF
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hugging-quants/Llama-3.2-1B-Instruct-Q8_0-GGUF
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hugging-quants/Llama-3.2-3B-Instruct-Q4_K_M-GGUF
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hugging-quants/Llama-3.2-3B-Instruct-Q8_0-GGUF
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hugging-quants/Meta-Llama-3.1-405B-BNB-NF4
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hugging-quants/Meta-Llama-3.1-405B-Instruct-BNB-NF4
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hugging-quants/Meta-Llama-3.1-405B-BNB-NF4-BF16
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hugging-quants/Meta-Llama-3.1-405B-Instruct-AWQ-INT4
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datasets
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