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VicUnlocked Alpaca 65B QLoRA Fp16 by TheBloke

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  Autotrain compatible Dataset:gozfarb/sharegpt vicun...   Fp16   Llama   Lora   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TheBloke/VicUnlocked-alpaca-65B-QLoRA-fp16 

VicUnlocked Alpaca 65B QLoRA Fp16 Benchmarks

ARC: 65.61 vs 96.7 (so35)-32.2%
HellaSwag: 85.15 vs 95.3 (gpt4)-10.7%
MMLU: 63.13 vs 88.3 (so35)-28.5%
TruthfulQA: 52.47 vs 59 (gpt4)-11.1%
WinoGrande: 81.29 vs 87.5 (gpt4)-7.1%
GSM8K: 27.82 vs 96.4 (so35)-71.1%
LLME Score: 0.12106
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
VicUnlocked Alpaca 65B QLoRA Fp16 (TheBloke/VicUnlocked-alpaca-65B-QLoRA-fp16)
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VicUnlocked Alpaca 65B QLoRA Fp16 Parameters and Internals

Additional Notes 
This is a highly experimental LoRA model trained in the Alpaca format. It expects prompts in a specific format. Current upload is of checkpoint at step 1200 in training.
Training Details 
Data Sources:
gozfarb/ShareGPT_Vicuna_unfiltered
Methodology:
QLoRA
LLM NameVicUnlocked Alpaca 65B QLoRA Fp16
Repository 🤗https://huggingface.co/TheBloke/VicUnlocked-alpaca-65B-QLoRA-fp16 
Model Size65b
Required VRAM130.4 GB
Updated2025-09-13
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-14   9.7 GB: 2-of-14   9.7 GB: 3-of-14   9.7 GB: 4-of-14   9.7 GB: 5-of-14   9.7 GB: 6-of-14   9.7 GB: 7-of-14   9.7 GB: 8-of-14   9.7 GB: 9-of-14   9.7 GB: 10-of-14   9.7 GB: 11-of-14   9.7 GB: 12-of-14   9.7 GB: 13-of-14   4.1 GB: 14-of-14
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
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/VicUnlocked-alpaca-65B-QLoRA-fp16.

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Release v20241124
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