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CodeUp Llama 2 13B Chat HF GPTQ by TheBloke

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CodeUp Llama 2 13B Chat HF GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 4K, License: openrail++, Quantized, LLM Explorer Score: 0.09.

  Arxiv:2106.09685   4-bit Base model:juyongjiang/codeup-... Base model:quantized:juyongjia...   Codegen   En   Gptq   Llama   Multilingual-code-generation   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeUp-Llama-2-13B-Chat-HF-GPTQ 

CodeUp Llama 2 13B Chat HF GPTQ Benchmarks

LLME Score: 0.08825
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeUp Llama 2 13B Chat HF GPTQ (TheBloke/CodeUp-Llama-2-13B-Chat-HF-GPTQ)
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CodeUp Llama 2 13B Chat HF GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
The model is intended for multilingual code generation and instruction-following. It uses parameter-efficient fine-tuning methods.
Training Details 
Data Sources:
NL2Code Data Release, Code Alpaca, data/code_alpaca_20k.json
Hardware Used:
single RTX 3090
LLM NameCodeUp Llama 2 13B Chat HF GPTQ
Repository 🤗https://huggingface.co/TheBloke/CodeUp-Llama-2-13B-Chat-HF-GPTQ 
Model NameCodeUp Llama 2 13B Chat HF
Model CreatorDeepSE
Base Model(s)  CodeUp Llama 2 13B Chat Hf   deepse/CodeUp-Llama-2-13b-chat-hf
Model Size13b
Required VRAM7.3 GB
Updated2026-03-14
MaintainerTheBloke
Model Typellama
Model Files  7.3 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseopenrail++
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Tinybra 13B GPTQ 4BIT16K / 7 GB50
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeUp-Llama-2-13B-Chat-HF-GPTQ.

Rank the CodeUp Llama 2 13B Chat HF GPTQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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