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RLHFlow_-_LLaMA3-SFT-gguf
RichardErkhov/RLHFlow_-_LLaMA3-SFT-gguf
RLHFlow_-_LLaMA3-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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.gguf108 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 8, 2024
- Updated
- Oct 8, 2024
- SHA
- 1fe309aa
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
LLaMA3-SFT - GGUF
- Model creator: https://huggingface.co/RLHFlow/
- Original model: https://huggingface.co/RLHFlow/LLaMA3-SFT/
| Name | Quant method | Size |
|---|---|---|
| LLaMA3-SFT.Q2_K.gguf | Q2_K | 2.96GB |
| LLaMA3-SFT.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| LLaMA3-SFT.IQ3_S.gguf | IQ3_S | 3.43GB |
| LLaMA3-SFT.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| LLaMA3-SFT.IQ3_M.gguf | IQ3_M | 3.52GB |
| LLaMA3-SFT.Q3_K.gguf | Q3_K | 3.74GB |
| LLaMA3-SFT.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| LLaMA3-SFT.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| LLaMA3-SFT.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| LLaMA3-SFT.Q4_0.gguf | Q4_0 | 4.34GB |
| LLaMA3-SFT.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| LLaMA3-SFT.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| LLaMA3-SFT.Q4_K.gguf | Q4_K | 4.58GB |
| LLaMA3-SFT.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| LLaMA3-SFT.Q4_1.gguf | Q4_1 | 4.78GB |
| LLaMA3-SFT.Q5_0.gguf | Q5_0 | 5.21GB |
| LLaMA3-SFT.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| LLaMA3-SFT.Q5_K.gguf | Q5_K | 5.34GB |
| LLaMA3-SFT.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| LLaMA3-SFT.Q5_1.gguf | Q5_1 | 5.65GB |
| LLaMA3-SFT.Q6_K.gguf | Q6_K | 6.14GB |
| LLaMA3-SFT.Q8_0.gguf | Q8_0 | 7.95GB |
Original model description:
library_name: transformers tags: []
This is the SFT checkpoint used for the project Online-RLHF. Also check our technical report here.
The model is trained from meta-llama/Meta-Llama-3-8B on a mixture of diverse open-source high-quality data for 1 epoch with detailed parameters in the report. It has not been trained by RLHF and can serve as a good starting point for the RLHF research.
- Created
- Oct 8, 2024
- Updated
- Oct 8, 2024