VinaLlama2 14B GPTQ Int4 by vilm

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  4-bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

VinaLlama2 14B GPTQ Int4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
VinaLlama2 14B GPTQ Int4 (vilm/VinaLlama2-14B-GPTQ-Int4)

VinaLlama2 14B GPTQ Int4 Parameters and Internals

Model Type 
Causal Language Model
Additional Notes 
The model is loaded onto a specified device, such as GPU (cuda).
Input Output 
Input Format:
formatted messages
Accepted Modalities:
text
Output Format:
text responses
LLM NameVinaLlama2 14B GPTQ Int4
Repository ๐Ÿค—https://huggingface.co/vilm/VinaLlama2-14B-GPTQ-Int4 
Model Size14b
Required VRAM9.7 GB
Updated2025-02-22
Maintainervilm
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   4.7 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than vilm/VinaLlama2-14B-GPTQ-Int4.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227