Llama 2 13B Ft Instruct Es Gptq 4bit by clibrain

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  Arxiv:2208.11580   Arxiv:2210.17323   4-bit   4bit   Autotrain compatible   Es   Gptq   Instruct   Llama   Pytorch   Quantization   Quantized   Region:us

Llama 2 13B Ft Instruct Es Gptq 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 13B Ft Instruct Es Gptq 4bit (clibrain/Llama-2-13b-ft-instruct-es-gptq-4bit)
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Llama 2 13B Ft Instruct Es Gptq 4bit Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
Spanish instruction following
Additional Notes 
The model uses a mixed int4/fp16 quantization scheme optimizing memory and performance for fine-tuned models. Latency and GPU memory usage indicate suitability for deployment under constrained resources.
Supported Languages 
es (Spanish)
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameLlama 2 13B Ft Instruct Es Gptq 4bit
Repository ๐Ÿค—https://huggingface.co/clibrain/Llama-2-13b-ft-instruct-es-gptq-4bit 
Model Size13b
Required VRAM7.3 GB
Updated2025-09-23
Maintainerclibrain
Model Typellama
Instruction-BasedYes
Model Files  7.3 GB
Supported Languageses
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.32.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than clibrain/Llama-2-13b-ft-instruct-es-gptq-4bit.

Rank the Llama 2 13B Ft Instruct Es Gptq 4bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124