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EvolCodeLlama 7B by mlabonne

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  Autotrain compatible Dataset:mlabonne/evol-instruct...   Endpoints compatible   Instruct   Llama   Lora   Pytorch   Region:us   Sharded

EvolCodeLlama 7B Benchmarks

LLME Score: 0.13721
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

EvolCodeLlama 7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
Educational purposes
Limitations:
Not intended for inference
Additional Notes 
This model is primarily designed for educational purposes and not recommended for inference.
Training Details 
Data Sources:
mlabonne/Evol-Instruct-Python-1k
Methodology:
Fine-tuned using QLoRA (4-bit precision)
Context Length:
2048
Training Time:
1h 11m 44s
Hardware Used:
RTX 3090
LLM NameEvolCodeLlama 7B
Repository 🤗https://huggingface.co/mlabonne/EvolCodeLlama-7b 
Model Size7b
Required VRAM13.5 GB
Updated2024-11-21
Maintainermlabonne
Instruction-BasedYes
Model Files  0.2 GB   10.0 GB: 1-of-2   3.5 GB: 2-of-2   0.0 GB
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|v_proj|k_proj|q_proj|down_proj|gate_proj|up_proj
LoRA Alpha16
LoRA Dropout0.05
R Param32
EvolCodeLlama 7B (mlabonne/EvolCodeLlama-7b)

Quantized Models of the EvolCodeLlama 7B

Model
Likes
Downloads
VRAM
EvolCodeLlama 7B0813 GB

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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/EvolCodeLlama-7b.

Rank the EvolCodeLlama 7B 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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Release v20241110
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