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Alpaca Lora 65B HF by TheBloke

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Alpaca Lora 65B HF is an open-source language model by TheBloke. Features: 65b LLM, VRAM: 130.6GB, Context: 2K, License: other, HF Score: 61.3, LLM Explorer Score: 0.1, Arc: 64.9, HellaSwag: 85.6, MMLU: 63.1, TruthfulQA: 45.2, WinoGrande: 81.2, GSM8K: 28.1.

  Llama   Lora   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TheBloke/alpaca-lora-65B-HF 

Alpaca Lora 65B HF Benchmarks

ARC: 64.85 vs 96.7 (so35)-32.9%
HellaSwag: 85.59 vs 95.3 (gpt4)-10.2%
MMLU: 63.11 vs 88.3 (so35)-28.5%
TruthfulQA: 45.15 vs 59 (gpt4)-23.5%
WinoGrande: 81.22 vs 87.5 (gpt4)-7.2%
GSM8K: 28.05 vs 96.4 (so35)-70.9%
LLME Score: 0.09639
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alpaca Lora 65B HF (TheBloke/alpaca-lora-65B-HF)
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Alpaca Lora 65B HF Parameters and Internals

Additional Notes 
Quantised GGML version available. Original model card was not provided. It is unknown if the original Stanford data was used, or the cleaned tloen/alpaca-lora variant.
Training Details 
Methodology:
Fine-tuning
LLM NameAlpaca Lora 65B HF
Repository 🤗https://huggingface.co/TheBloke/alpaca-lora-65B-HF 
Model Size65b
Required VRAM130.6 GB
Updated2026-03-29
MaintainerTheBloke
Model Typellama
Model Files  7.9 GB: 1-of-17   7.7 GB: 2-of-17   8.0 GB: 3-of-17   8.0 GB: 4-of-17   8.0 GB: 5-of-17   8.0 GB: 6-of-17   7.7 GB: 7-of-17   7.7 GB: 8-of-17   7.7 GB: 9-of-17   8.0 GB: 10-of-17   8.0 GB: 11-of-17   8.0 GB: 12-of-17   8.0 GB: 13-of-17   7.7 GB: 14-of-17   7.7 GB: 15-of-17   7.7 GB: 16-of-17   4.8 GB: 17-of-17
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Vocabulary Size32000
LoRA ModelYes
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/alpaca-lora-65B-HF.

Rank the Alpaca Lora 65B HF Capabilities

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