CodeLlama 34B Hf by codellama

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  Arxiv:2308.12950   Autotrain compatible   Code   Codegen   Endpoints compatible   Llama   Llama2   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

CodeLlama 34B Hf Benchmarks

CodeLlama 34B Hf (codellama/CodeLlama-34b-hf)

CodeLlama 34B Hf Parameters and Internals

Model Type 
text generation, code generation
Use Cases 
Areas:
Commercial, Research
Applications:
Code synthesis, Code understanding, Python language tasks
Primary Use Cases:
Code generation, Code understanding
Limitations:
Not tested in languages other than English
Supported Languages 
English (proficient)
Training Details 
Data Sources:
Same data as Llama 2
Methodology:
Optimized transformer architecture
Training Time:
January 2023 - July 2023
Hardware Used:
Meta’s Research Super Cluster
Model Architecture:
auto-regressive language model
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameCodeLlama 34B Hf
Repository πŸ€—https://huggingface.co/codellama/CodeLlama-34b-hf 
Model Size34b
Required VRAM67.5 GB
Updated2025-04-24
Maintainercodellama
Model Typellama
Model Files  9.8 GB: 1-of-7   9.7 GB: 2-of-7   9.7 GB: 3-of-7   9.7 GB: 4-of-7   9.7 GB: 5-of-7   9.7 GB: 6-of-7   9.2 GB: 7-of-7   9.8 GB: 1-of-7   9.7 GB: 2-of-7   9.7 GB: 3-of-7   9.7 GB: 4-of-7   9.7 GB: 5-of-7   9.7 GB: 6-of-7   9.4 GB: 7-of-7
Supported Languagescode
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.32.0.dev0
Tokenizer ClassCodeLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the CodeLlama 34B Hf

Model
Likes
Downloads
VRAM
CodeLlama 34B GGUF55907114 GB
CodeLlama 34B Hf GGUF37412 GB
CodeLlama 34B AWQ29618 GB
CodeLlama 34B GPTQ202218 GB

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CodeLlama 34B Hf16K / 67.5 GB44115
Note: green Score (e.g. "73.2") means that the model is better than codellama/CodeLlama-34b-hf.

Rank the CodeLlama 34B Hf Capabilities

πŸ†˜ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227