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Gpt4 Alpaca Lora Mlp 65B HF by TheBloke

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Gpt4 Alpaca Lora Mlp 65B HF is an open-source language model by TheBloke. Features: 65b LLM, VRAM: 130.4GB, Context: 2K, License: other, HF Score: 63.7, LLM Explorer Score: 0.1, Arc: 65, HellaSwag: 86.1, MMLU: 62.7, TruthfulQA: 59.2, WinoGrande: 80.7, GSM8K: 28.3.

Dataset:c-s-ale/alpaca-gpt4-da...   Endpoints compatible   Llama   Lora   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TheBloke/gpt4-alpaca-lora_mlp-65B-HF 

Gpt4 Alpaca Lora Mlp 65B HF Benchmarks

ARC: 65.02 vs 96.7 (so35)-32.8%
HellaSwag: 86.13 vs 95.3 (gpt4)-9.6%
MMLU: 62.73 vs 88.3 (so35)-29%
TruthfulQA: 59.16 vs 59 (gpt4)0.3%
WinoGrande: 80.66 vs 87.5 (gpt4)-7.8%
GSM8K: 28.28 vs 96.4 (so35)-70.7%
LLME Score: 0.09801
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt4 Alpaca Lora Mlp 65B HF (TheBloke/gpt4-alpaca-lora_mlp-65B-HF)
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Gpt4 Alpaca Lora Mlp 65B HF Parameters and Internals

Model Type 
text2text-generation
Training Details 
Data Sources:
alpaca_data_gpt4
Methodology:
LoRA MLP on 8xA100(80G)
Context Length:
512
Hardware Used:
8xA100(80G)
LLM NameGpt4 Alpaca Lora Mlp 65B HF
Repository 🤗https://huggingface.co/TheBloke/gpt4-alpaca-lora_mlp-65B-HF 
Model Size65b
Required VRAM130.4 GB
Updated2026-04-01
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
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
LoRA ModelYes
Torch Data Typefloat16

Quantized Models of the Gpt4 Alpaca Lora Mlp 65B HF

Model
Likes
Downloads
VRAM
Gpt4 Alpaca Lora Mlp 65B GPTQ14933 GB

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/gpt4-alpaca-lora_mlp-65B-HF.

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