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CorticalStack_-_mistral-7b-openhermes-2.5-sft-gguf – AI Model by RichardErkhov | AlphaNeural AI
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CorticalStack_-_mistral-7b-openhermes-2.5-sft-gguf
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Quantization made by Richard Erkhov.
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mistral-7b-openhermes-2.5-sft - GGUF
Model creator:
https://huggingface.co/CorticalStack/
Original model:
https://huggingface.co/CorticalStack/mistral-7b-openhermes-2.5-sft/
Name
Quant method
Size
mistral-7b-openhermes-2.5-sft.Q2_K.gguf
Q2_K
2.53GB
mistral-7b-openhermes-2.5-sft.IQ3_XS.gguf
IQ3_XS
2.81GB
mistral-7b-openhermes-2.5-sft.IQ3_S.gguf
IQ3_S
2.96GB
mistral-7b-openhermes-2.5-sft.Q3_K_S.gguf
Q3_K_S
2.95GB
mistral-7b-openhermes-2.5-sft.IQ3_M.gguf
IQ3_M
3.06GB
mistral-7b-openhermes-2.5-sft.Q3_K.gguf
Q3_K
3.28GB
mistral-7b-openhermes-2.5-sft.Q3_K_M.gguf
Q3_K_M
3.28GB
mistral-7b-openhermes-2.5-sft.Q3_K_L.gguf
Q3_K_L
3.56GB
mistral-7b-openhermes-2.5-sft.IQ4_XS.gguf
IQ4_XS
3.67GB
mistral-7b-openhermes-2.5-sft.Q4_0.gguf
Q4_0
3.83GB
mistral-7b-openhermes-2.5-sft.IQ4_NL.gguf
IQ4_NL
3.87GB
mistral-7b-openhermes-2.5-sft.Q4_K_S.gguf
Q4_K_S
3.86GB
mistral-7b-openhermes-2.5-sft.Q4_K.gguf
Q4_K
4.07GB
mistral-7b-openhermes-2.5-sft.Q4_K_M.gguf
Q4_K_M
4.07GB
mistral-7b-openhermes-2.5-sft.Q4_1.gguf
Q4_1
4.24GB
mistral-7b-openhermes-2.5-sft.Q5_0.gguf
Q5_0
4.65GB
mistral-7b-openhermes-2.5-sft.Q5_K_S.gguf
Q5_K_S
4.65GB
mistral-7b-openhermes-2.5-sft.Q5_K.gguf
Q5_K
4.78GB
mistral-7b-openhermes-2.5-sft.Q5_K_M.gguf
Q5_K_M
4.78GB
mistral-7b-openhermes-2.5-sft.Q5_1.gguf
Q5_1
5.07GB
mistral-7b-openhermes-2.5-sft.Q6_K.gguf
Q6_K
5.53GB
mistral-7b-openhermes-2.5-sft.Q8_0.gguf
Q8_0
7.17GB
Original model description:
license: apache-2.0
mistral-7b-openhermes-2.5-sft
mistral-7b-openhermes-2.5-sft is an SFT fine-tuned version of
unsloth/mistral-7b-bnb-4bit
using the
teknium/OpenHermes-2.5
dataset.
Fine-tuning configuration
LoRA
r: 256
LoRA alpha: 128
LoRA dropout: 0.0
Training arguments
Epochs: 1
Batch size: 4
Gradient accumulation steps: 6
Optimizer: adamw_torch_fused
Max steps: 100
Learning rate: 0.0002
Weight decay: 0.1
Learning rate scheduler type: linear
Max seq length: 2048
4-bit bnb: True
Trained with
Unsloth
and Huggingface's TRL library.