akumaburn/Alpaca-Llama-3-8B-GGUF
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Model: akumaburn/Alpaca-Llama-3-8B-GGUF
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2026-05-01 16:49:10 +08:00
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---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
base_model: unsloth/llama-3-8b-bnb-4bit
datasets:
- yahma/alpaca-cleaned
---
# Alpaca-Llama-3-8B
- **Fine Tuned using dataset:** https://huggingface.co/datasets/yahma/alpaca-cleaned
- **Epoch Count:** 1
- **Step Count:** 6,470/6,470
- **Batch Size:** 2
- **Gradient Accumulation Steps:** 4
- **Context Size:** 8192
- **Num examples:** 51,760
- **Trainable Parameters:** 41,943,040
- **Learning Rate:** 0.00001
- **Training Loss:** 0.960000
- **Fined Tuned using:** Google Colab Pro (Nvidia T4 runtime)
- **Developed by:** akumaburn
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
- **Prompt Format:** Alpaca (https://libertai.io/apis/text-generation/prompting.html)
- **Chai ELO:** 1146.84 (https://console.chaiverse.com/models/akumaburn-alpaca-llama-3-8b_v1)
Full model can be found in https://huggingface.co/akumaburn/Alpaca-Llama-3-8B
mistral-7b-openorca.Q8_0.gguf:
- **MMLU-Test:** Final result: **41.5836 +/- 0.4174**
- **Arc-Easy:** Final result: 72.6316 +/- 1.8691
- **Truthful QA:** Final result: **32.0685 +/- 1.6339**
- **Arc-Challenge:** Final result: 48.8294 +/- 2.8956
llama-3-8b-bnb-4bit.Q8_0.gguf:
- **MMLU-Test:** Final result: 40.4074 +/- 0.4156
- **Arc-Easy:** Final result: 73.8596 +/- 1.8421
- **Truthful QA:** Final result: 26.6830 +/- 1.5484
- **Arc-Challenge:** Final result: 46.8227 +/- 2.8906
Open_Orca_Llama-3-8B-unsloth.Q8_0.gguf:
- **MMLU-Test:** Final result: 39.3818 +/- 0.4138
- **Arc-Easy:** Final result: 67.3684 +/- 1.9656
- **Truthful QA:** Final result: 29.0086 +/- 1.5886
- **Arc-Challenge:** Final result: 42.1405 +/- 2.8604
**Alpaca-Llama-3-8B-GGUF-unsloth.Q8_0.gguf**:
- **MMLU-Test:** Final result: 40.6441 +/- 0.4160
- **Arc-Easy:** Final result: **77.5439 +/- 1.7494**
- **Truthful QA:** Final result: 29.7430 +/- 1.6003
- **Arc-Challenge:** Final result: **50.5017 +/- 2.8963**
Meta-Llama-3-8B.Q8_0.gguf:
- **MMLU-Test:** Final result: 40.8664 +/- 0.4163
- **Arc-Easy:** Final result: 74.3860 +/- 1.8299
- **Truthful QA:** Final result: 28.6414 +/- 1.5826
- **Arc-Challenge:** Final result: 47.1572 +/- 2.8917
Llama.cpp Options For Testing:
--samplers "tfs;typical;temp" --draft 32 --ctx-size 8192 --temp 0.82 --tfs 0.8 --typical 1.1 --repeat-last-n 512 --batch-size 8192 --repeat-penalty 1.0 --n-gpu-layers 100 --threads 12
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)