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gutsartificial_-_rag-questions-Phi-3-mini-4k-instruct-gguf – AI Model by RichardErkhov | AlphaNeural AI
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gutsartificial_-_rag-questions-Phi-3-mini-4k-instruct-gguf
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Quantization made by Richard Erkhov.
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rag-questions-Phi-3-mini-4k-instruct - GGUF
Model creator:
https://huggingface.co/gutsartificial/
Original model:
https://huggingface.co/gutsartificial/rag-questions-Phi-3-mini-4k-instruct/
Name
Quant method
Size
rag-questions-Phi-3-mini-4k-instruct.Q2_K.gguf
Q2_K
1.35GB
rag-questions-Phi-3-mini-4k-instruct.IQ3_XS.gguf
IQ3_XS
1.49GB
rag-questions-Phi-3-mini-4k-instruct.IQ3_S.gguf
IQ3_S
1.57GB
rag-questions-Phi-3-mini-4k-instruct.Q3_K_S.gguf
Q3_K_S
1.57GB
rag-questions-Phi-3-mini-4k-instruct.IQ3_M.gguf
IQ3_M
1.65GB
rag-questions-Phi-3-mini-4k-instruct.Q3_K.gguf
Q3_K
1.75GB
rag-questions-Phi-3-mini-4k-instruct.Q3_K_M.gguf
Q3_K_M
1.75GB
rag-questions-Phi-3-mini-4k-instruct.Q3_K_L.gguf
Q3_K_L
1.9GB
rag-questions-Phi-3-mini-4k-instruct.IQ4_XS.gguf
IQ4_XS
1.93GB
rag-questions-Phi-3-mini-4k-instruct.Q4_0.gguf
Q4_0
2.03GB
rag-questions-Phi-3-mini-4k-instruct.IQ4_NL.gguf
IQ4_NL
2.04GB
rag-questions-Phi-3-mini-4k-instruct.Q4_K_S.gguf
Q4_K_S
2.04GB
rag-questions-Phi-3-mini-4k-instruct.Q4_K.gguf
Q4_K
2.16GB
rag-questions-Phi-3-mini-4k-instruct.Q4_K_M.gguf
Q4_K_M
2.16GB
rag-questions-Phi-3-mini-4k-instruct.Q4_1.gguf
Q4_1
2.24GB
rag-questions-Phi-3-mini-4k-instruct.Q5_0.gguf
Q5_0
2.46GB
rag-questions-Phi-3-mini-4k-instruct.Q5_K_S.gguf
Q5_K_S
2.46GB
rag-questions-Phi-3-mini-4k-instruct.Q5_K.gguf
Q5_K
2.53GB
rag-questions-Phi-3-mini-4k-instruct.Q5_K_M.gguf
Q5_K_M
2.53GB
rag-questions-Phi-3-mini-4k-instruct.Q5_1.gguf
Q5_1
2.68GB
rag-questions-Phi-3-mini-4k-instruct.Q6_K.gguf
Q6_K
2.92GB
rag-questions-Phi-3-mini-4k-instruct.Q8_0.gguf
Q8_0
3.78GB
Original model description:
base_model: unsloth/Phi-3-mini-4k-instruct tags:
text-generation-inference
transformers
unsloth
mistral
trl license: apache-2.0 language:
en
Uploaded model
Developed by:
gutsartificial
License:
apache-2.0
Finetuned from model :
unsloth/Phi-3-mini-4k-instruct
This mistral model was trained 2x faster with
Unsloth
and Huggingface's TRL library.
