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EvolCodeLlama 7B by actionpace

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  Autotrain compatible   Endpoints compatible   Gguf   Llama   Lora   Q8   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/actionpace/EvolCodeLlama-7b 

EvolCodeLlama 7B Benchmarks

LLME Score: 0.1299
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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EvolCodeLlama 7B Parameters and Internals

LLM NameEvolCodeLlama 7B
Repository 🤗https://huggingface.co/actionpace/EvolCodeLlama-7b 
Base Model(s)  EvolCodeLlama 7B   mlabonne/EvolCodeLlama-7b
Model Size7b
Required VRAM13.5 GB
Updated2025-06-09
Maintaineractionpace
Model Files  7.2 GB   0.3 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3   0.0 GB
GGUF QuantizationYes
Quantization Typeq8|gguf
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassCodeLlamaTokenizer
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|v_proj|o_proj|down_proj|gate_proj|q_proj|k_proj
LoRA Alpha16
LoRA Dropout0.05
R Param32
EvolCodeLlama 7B (actionpace/EvolCodeLlama-7b)

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

Rank the EvolCodeLlama 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20241124
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