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Dromedary 65B Lora GPTQ by TheBloke

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  4-bit   Autotrain compatible   Gptq   Llama   Lora   Quantized   Region:us   Safetensors

Dromedary 65B Lora GPTQ Benchmarks

ARC: 61.6 vs 96.7 (so35)-36.3%
HellaSwag: 82.53 vs 95.3 (gpt4)-13.4%
MMLU: 63.08 vs 88.3 (so35)-28.6%
TruthfulQA: 38.82 vs 59 (gpt4)-34.2%
WinoGrande: 78.93 vs 87.5 (gpt4)-9.8%
GSM8K: 27.45 vs 96.4 (so35)-71.5%
LLME Score: 0.13518
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dromedary 65B Lora GPTQ Parameters and Internals

LLM NameDromedary 65B Lora GPTQ
Repository 🤗https://huggingface.co/TheBloke/dromedary-65B-lora-GPTQ 
Base Model(s)  Dromedary 65B Lora HF   TheBloke/dromedary-65b-lora-HF
Model Size65b
Required VRAM33.5 GB
Updated2024-10-18
MaintainerTheBloke
Model Typellama
Model Files  33.5 GB
GPTQ QuantizationYes
Quantization Typegptq
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
Dromedary 65B Lora GPTQ (TheBloke/dromedary-65B-lora-GPTQ)

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

Rank the Dromedary 65B Lora GPTQ Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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