CodeLlama 70B Hf AWQ by TheBloke

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  Arxiv:2308.12950   4-bit   Autotrain compatible   Awq Base model:codellama/codellama... Base model:quantized:codellama...   Code   Codegen   Llama   Llama2   Quantized   Region:us   Safetensors   Sharded   Tensorflow

CodeLlama 70B Hf AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Hf AWQ (TheBloke/CodeLlama-70B-hf-AWQ)

CodeLlama 70B Hf AWQ Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
commercial, research
Applications:
code synthesis, understanding tasks
Primary Use Cases:
code assistant and generation applications
Limitations:
English only, not for use in prohibited manners
Additional Notes 
Model trained between January 2023 and January 2024. Supported by NVidia GPUs only for AWQ models.
Supported Languages 
English (commercial and research use), Other programming languages (commercial and research use)
Training Details 
Methodology:
optimized transformer architecture
Context Length:
16000
Hardware Used:
A100-80GB GPUs
Model Architecture:
auto-regressive language model
Responsible Ai Considerations 
Transparency:
Outputs cannot be predicted in advance; may produce inaccurate or objectionable responses.
Mitigation Strategies:
Perform safety testing and tuning tailored to specific applications.
Input Output 
Input Format:
text only
Accepted Modalities:
text
Output Format:
text generation
LLM NameCodeLlama 70B Hf AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/CodeLlama-70B-hf-AWQ 
Model NameCodeLlama 70B
Model CreatorCode Llama
Base Model(s)  CodeLlama 70B Hf   codellama/CodeLlama-70b-hf
Model Size70b
Required VRAM36.6 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   6.9 GB: 4-of-4
Supported Languagescode
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32016
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeLlama-70B-hf-AWQ.

Rank the CodeLlama 70B Hf AWQ 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 v20241217