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Llama-3-5B-Sheard - GGUF
- Model creator: https://huggingface.co/raincandy-u/
- Original model: https://huggingface.co/raincandy-u/Llama-3-5B-Sheard/
Name | Quant method | Size |
---|---|---|
Llama-3-5B-Sheard.Q2_K.gguf | Q2_K | 2.21GB |
Llama-3-5B-Sheard.IQ3_XS.gguf | IQ3_XS | 2.44GB |
Llama-3-5B-Sheard.IQ3_S.gguf | IQ3_S | 2.55GB |
Llama-3-5B-Sheard.Q3_K_S.gguf | Q3_K_S | 2.54GB |
Llama-3-5B-Sheard.IQ3_M.gguf | IQ3_M | 2.61GB |
Llama-3-5B-Sheard.Q3_K.gguf | Q3_K | 2.76GB |
Llama-3-5B-Sheard.Q3_K_M.gguf | Q3_K_M | 2.76GB |
Llama-3-5B-Sheard.Q3_K_L.gguf | Q3_K_L | 2.96GB |
Llama-3-5B-Sheard.IQ4_XS.gguf | IQ4_XS | 3.07GB |
Llama-3-5B-Sheard.Q4_0.gguf | Q4_0 | 3.2GB |
Llama-3-5B-Sheard.IQ4_NL.gguf | IQ4_NL | 3.22GB |
Llama-3-5B-Sheard.Q4_K_S.gguf | Q4_K_S | 3.21GB |
Llama-3-5B-Sheard.Q4_K.gguf | Q4_K | 3.35GB |
Llama-3-5B-Sheard.Q4_K_M.gguf | Q4_K_M | 3.35GB |
Llama-3-5B-Sheard.Q4_1.gguf | Q4_1 | 3.51GB |
Llama-3-5B-Sheard.Q5_0.gguf | Q5_0 | 3.82GB |
Llama-3-5B-Sheard.Q5_K_S.gguf | Q5_K_S | 3.82GB |
Llama-3-5B-Sheard.Q5_K.gguf | Q5_K | 3.9GB |
Llama-3-5B-Sheard.Q5_K_M.gguf | Q5_K_M | 3.9GB |
Llama-3-5B-Sheard.Q5_1.gguf | Q5_1 | 4.13GB |
Llama-3-5B-Sheard.Q6_K.gguf | Q6_K | 4.48GB |
Llama-3-5B-Sheard.Q8_0.gguf | Q8_0 | 5.8GB |
Original model description:
language: - en pipeline_tag: text-generation tags: - facebook - meta - pytorch - llama - llama-3 license: other license_name: llama3 license_link: LICENSE datasets: - JeanKaddour/minipile - raincandy-u/SlimOrca-Llama-3-Preference-DPO-Pairs
Llama-3-5B-Sheard
Pruned version of Llama-3-8b.
Tool used: PrunMe, Mergekit.
Meta Llama 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.
Training
After sliced by mergekit, the model is continue-pretrained on minipile for 1 epoch and ~100k samples. Then we trained it using ORPO on Llama-3-70b generated DPO pairs.
Disclaimer
This model is for testing purposes only, and when the system prompt is not empty, the output may repeat and not stop!
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