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saqada_-_Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7-gguf – AI Model by RichardErkhov | AlphaNeural AI
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saqada_-_Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7-gguf
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Quantization made by Richard Erkhov.
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Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7 - GGUF
Model creator:
https://huggingface.co/saqada/
Original model:
https://huggingface.co/saqada/Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7/
Name
Quant method
Size
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q2_K.gguf
Q2_K
2.96GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.IQ3_XS.gguf
IQ3_XS
3.28GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.IQ3_S.gguf
IQ3_S
3.43GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q3_K_S.gguf
Q3_K_S
3.41GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.IQ3_M.gguf
IQ3_M
3.52GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q3_K.gguf
Q3_K
3.74GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q3_K_M.gguf
Q3_K_M
3.74GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q3_K_L.gguf
Q3_K_L
4.03GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.IQ4_XS.gguf
IQ4_XS
4.18GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q4_0.gguf
Q4_0
4.34GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.IQ4_NL.gguf
IQ4_NL
4.38GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q4_K_S.gguf
Q4_K_S
4.37GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q4_K.gguf
Q4_K
4.58GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q4_K_M.gguf
Q4_K_M
4.58GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q4_1.gguf
Q4_1
4.78GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q5_0.gguf
Q5_0
5.21GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q5_K_S.gguf
Q5_K_S
5.21GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q5_K.gguf
Q5_K
5.34GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q5_K_M.gguf
Q5_K_M
5.34GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q5_1.gguf
Q5_1
5.65GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q6_K.gguf
Q6_K
6.14GB
Llama-3.1-8B-with-16bit-merged_lora_adapters-MOV_v7.Q8_0.gguf
Q8_0
7.95GB
Original model description:
base_model: unsloth/Meta-Llama-3.1-8B-Instruct tags:
text-generation-inference
transformers
unsloth
llama
trl
sft license: apache-2.0 language:
en
Uploaded model
Developed by:
saqada
License:
apache-2.0
Finetuned from model :
unsloth/Meta-Llama-3.1-8B-Instruct
This llama model was trained 2x faster with
Unsloth
and Huggingface's TRL library.
