Phind CodeLlama 34B V1 GGUF by TheBloke

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Base model:phind/phind-codella... Base model:quantized:phind/phi...   Code llama   Codegen   Gguf   Llama   Model-index   Quantized   Region:us

Phind CodeLlama 34B V1 GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phind CodeLlama 34B V1 GGUF (TheBloke/Phind-CodeLlama-34B-v1-GGUF)

Phind CodeLlama 34B V1 GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is not chat-tuned. It achieved 67.6% pass@1 on HumanEval and is improved in version v2 at 73.8% pass@1.
Training Details 
Data Sources:
Internal Phind dataset
Data Volume:
~80k high quality programming problems and solutions
Methodology:
Fine-tuned from CodeLlama-34B without using LoRA.
Context Length:
4096
Training Time:
3 hours
Hardware Used:
32 A100-80GB GPUs
Input Output 
Input Format:
{prompt} \n
Accepted Modalities:
text
LLM NamePhind CodeLlama 34B V1 GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/Phind-CodeLlama-34B-v1-GGUF 
Model CreatorPhind
Base Model(s)  Phind CodeLlama 34B V1   Phind/Phind-CodeLlama-34B-v1
Model Size34b
Required VRAM14.2 GB
Updated2025-02-05
MaintainerTheBloke
Model Typellama
Model Files  14.2 GB   17.8 GB   16.3 GB   14.6 GB   19.1 GB   20.2 GB   19.1 GB   23.2 GB   23.8 GB   23.2 GB   27.7 GB   35.9 GB
GGUF QuantizationYes
Quantization Typegguf
Generates CodeYes
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Phind-CodeLlama-34B-v1-GGUF.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227