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Wizard Vicuna 13B GPTQ 8bit 128g by deetungsten

 »  All LLMs  »  deetungsten  »  Wizard Vicuna 13B GPTQ 8bit 128g   URL Share it on

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  8bit   Autotrain compatible   En   Gptq   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/deetungsten/wizard-vicuna-13B-GPTQ-8bit-128g 

Wizard Vicuna 13B GPTQ 8bit 128g Benchmarks

LLME Score: 0.08407
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Wizard Vicuna 13B GPTQ 8bit 128g (deetungsten/wizard-vicuna-13B-GPTQ-8bit-128g)
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Wizard Vicuna 13B GPTQ 8bit 128g Parameters and Internals

Model Type 
causal-lm, Llama
Additional Notes 
The project is highly experimental and designed for proof of concept, not for actual usage.
Training Details 
Data Sources:
junelee/wizard_vicuna_70k
Methodology:
Extended using Vicuna's conversation format and applied Vicuna's fine-tuning techniques.
Training Time:
35 hours
Hardware Used:
8 A100 GPUs
Model Architecture:
Wizard's dataset + ChatGPT's conversation extension + Vicuna's tuning method
Input Output 
Accepted Modalities:
text
LLM NameWizard Vicuna 13B GPTQ 8bit 128g
Repository 🤗https://huggingface.co/deetungsten/wizard-vicuna-13B-GPTQ-8bit-128g 
Model Size13b
Required VRAM13.6 GB
Updated2025-09-23
Maintainerdeetungsten
Model Typellama
Model Files  13.6 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|8bit
Model ArchitectureLlamaForCausalLM
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
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than deetungsten/wizard-vicuna-13B-GPTQ-8bit-128g.

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Release v20241124
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