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CodeLlama 7B GQL Hf by tugraph

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CodeLlama 7B GQL Hf is an open-source language model by tugraph. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.12.

  Codegen   Deploy:azure   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/tugraph/CodeLlama-7b-GQL-hf 

CodeLlama 7B GQL Hf Benchmarks

LLME Score: 0.12327
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 7B GQL Hf (tugraph/CodeLlama-7b-GQL-hf)
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CodeLlama 7B GQL Hf Parameters and Internals

LLM NameCodeLlama 7B GQL Hf
Repository 🤗https://huggingface.co/tugraph/CodeLlama-7b-GQL-hf 
Model Size7b
Required VRAM13.5 GB
Updated2026-04-03
Maintainertugraph
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Padding Token<unk>
Unk Token<unk>
Vocabulary Size32016
Torch Data Typefloat16

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...deLlama 7B Instruct Hf 8bits Q16K / 4.2 GB51
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Note: green Score (e.g. "73.2") means that the model is better than tugraph/CodeLlama-7b-GQL-hf.

Rank the CodeLlama 7B GQL Hf 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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