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CorticalStack_-_mistral-7b-dolphin-sft-gguf
RichardErkhov/CorticalStack_-_mistral-7b-dolphin-sft-gguf
CorticalStack_-_mistral-7b-dolphin-sft-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Repo size
82.2 GB
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.gguf95.2 GB · 100%
At a glance
- Access
- Public
- Created
- Jul 15, 2024
- Updated
- Jul 15, 2024
- SHA
- ad4dd7f4
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
mistral-7b-dolphin-sft - GGUF
- Model creator: https://huggingface.co/CorticalStack/
- Original model: https://huggingface.co/CorticalStack/mistral-7b-dolphin-sft/
| Name | Quant method | Size |
|---|---|---|
| mistral-7b-dolphin-sft.Q2_K.gguf | Q2_K | 2.53GB |
| mistral-7b-dolphin-sft.IQ3_XS.gguf | IQ3_XS | 2.81GB |
| mistral-7b-dolphin-sft.IQ3_S.gguf | IQ3_S | 2.96GB |
| mistral-7b-dolphin-sft.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| mistral-7b-dolphin-sft.IQ3_M.gguf | IQ3_M | 3.06GB |
| mistral-7b-dolphin-sft.Q3_K.gguf | Q3_K | 3.28GB |
| mistral-7b-dolphin-sft.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| mistral-7b-dolphin-sft.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| mistral-7b-dolphin-sft.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| mistral-7b-dolphin-sft.Q4_0.gguf | Q4_0 | 3.83GB |
| mistral-7b-dolphin-sft.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| mistral-7b-dolphin-sft.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| mistral-7b-dolphin-sft.Q4_K.gguf | Q4_K | 4.07GB |
| mistral-7b-dolphin-sft.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| mistral-7b-dolphin-sft.Q4_1.gguf | Q4_1 | 4.24GB |
| mistral-7b-dolphin-sft.Q5_0.gguf | Q5_0 | 4.65GB |
| mistral-7b-dolphin-sft.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| mistral-7b-dolphin-sft.Q5_K.gguf | Q5_K | 4.78GB |
| mistral-7b-dolphin-sft.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| mistral-7b-dolphin-sft.Q5_1.gguf | Q5_1 | 5.07GB |
| mistral-7b-dolphin-sft.Q6_K.gguf | Q6_K | 5.53GB |
| mistral-7b-dolphin-sft.Q8_0.gguf | Q8_0 | 7.17GB |
Original model description:
license: apache-2.0
mistral-7b-dolphin-sft
mistral-7b-dolphin-sft is an SFT fine-tuned version of unsloth/mistral-7b-bnb-4bit using the cognitivecomputations/dolphin 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.
- Created
- Jul 15, 2024
- Updated
- Jul 15, 2024