CodeLlama 70B Instruct 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   Conversational   Instruct   Llama   Llama2   Quantized   Region:us   Safetensors   Sharded   Tensorflow

CodeLlama 70B Instruct 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 Instruct AWQ (TheBloke/CodeLlama-70B-Instruct-AWQ)

CodeLlama 70B Instruct AWQ Parameters and Internals

Model Type 
Instruct, text generation
Use Cases 
Areas:
commercial, research
Applications:
code synthesis, code understanding, code assistant, generation applications
Limitations:
use in languages other than English, use that violates laws or regulations
Additional Notes 
Note: Use of this model is governed by the Meta license. Future versions will be improved based on community feedback.
Training Details 
Context Length:
16000
Hardware Used:
A100-80GB GPUs
Model Architecture:
auto-regressive language model utilizing an optimized transformer architecture.
Input Output 
Output Format:
text
LLM NameCodeLlama 70B Instruct AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/CodeLlama-70B-Instruct-AWQ 
Model NameCodellama 70B Instruct
Model CreatorCode Llama
Base Model(s)  CodeLlama 70B Instruct Hf   codellama/CodeLlama-70b-Instruct-hf
Model Size70b
Required VRAM36.6 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
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 Length4096
Model Max Length4096
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-Instruct-AWQ.

Rank the CodeLlama 70B Instruct 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