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RichardErkhov/
vivaming_-_Llama-3.2-3B-16bit-factify-liar-vllm-gguf

Name: vivaming_-_Llama-3.2-3B-16bit-factify-liar-vllm-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

Llama-3.2-3B-16bit-factify-liar-vllm - GGUF

Name	Quant method	Size
Llama-3.2-3B-16bit-factify-liar-vllm.Q2_K.gguf	Q2_K	1.27GB
Llama-3.2-3B-16bit-factify-liar-vllm.IQ3_XS.gguf	IQ3_XS	1.38GB
Llama-3.2-3B-16bit-factify-liar-vllm.IQ3_S.gguf	IQ3_S	1.44GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q3_K_S.gguf	Q3_K_S	1.44GB
Llama-3.2-3B-16bit-factify-liar-vllm.IQ3_M.gguf	IQ3_M	1.49GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q3_K.gguf	Q3_K	1.57GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q3_K_M.gguf	Q3_K_M	1.57GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q3_K_L.gguf	Q3_K_L	1.69GB
Llama-3.2-3B-16bit-factify-liar-vllm.IQ4_XS.gguf	IQ4_XS	1.71GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q4_0.gguf	Q4_0	1.79GB
Llama-3.2-3B-16bit-factify-liar-vllm.IQ4_NL.gguf	IQ4_NL	1.79GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q4_K_S.gguf	Q4_K_S	1.8GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q4_K.gguf	Q4_K	1.88GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q4_K_M.gguf	Q4_K_M	1.88GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q4_1.gguf	Q4_1	1.95GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q5_0.gguf	Q5_0	2.11GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q5_K_S.gguf	Q5_K_S	2.11GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q5_K.gguf	Q5_K	2.16GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q5_K_M.gguf	Q5_K_M	2.16GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q5_1.gguf	Q5_1	2.28GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q6_K.gguf	Q6_K	2.46GB
Llama-3.2-3B-16bit-factify-liar-vllm.Q8_0.gguf	Q8_0	3.19GB

Original model description:

base_model: unsloth/Llama-3.2-3B-Instruct-bnb-4bit language:

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.