Llama 2 7B Ft Instruct Es AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:clibrain/llama-2-7b... Base model:quantized:clibrain/...   Es   Instruct   Llama   Quantized   Region:us   Safetensors

Llama 2 7B Ft Instruct Es AWQ 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 7B Ft Instruct Es AWQ (TheBloke/Llama-2-7B-ft-instruct-es-AWQ)

Llama 2 7B Ft Instruct Es AWQ Parameters and Internals

Model Type 
text generation
Supported Languages 
es (high proficiency)
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
LLM NameLlama 2 7B Ft Instruct Es AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Llama-2-7B-ft-instruct-es-AWQ 
Model NameLlama 2 7B FT Instruct ES
Model CreatorCliBrAIn
Base Model(s)  Llama 2 7B Ft Instruct Es   clibrain/Llama-2-7b-ft-instruct-es
Model Size7b
Required VRAM3.9 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
Supported Languageses
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
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 TheBloke/Llama-2-7B-ft-instruct-es-AWQ.

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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 v20241217