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Phind CodeLlama 34B Python V1 GGUF by TheBloke

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Phind CodeLlama 34B Python V1 GGUF is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 14.2GB, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.1.

Base model:phind/phind-codella... Base model:quantized:phind/phi...   Code llama   Codegen   Gguf   Llama   Model-index   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF 

Phind CodeLlama 34B Python V1 GGUF Benchmarks

LLME Score: 0.09863
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 Python V1 GGUF (TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF)
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Phind CodeLlama 34B Python V1 GGUF Parameters and Internals

Model Type 
text-generation
Use Cases 
Considerations:
The model is somewhat instruction-tuned but not chat-tuned.
Additional Notes 
Fine-tuned using DeepSpeed ZeRO 3 and Flash Attention 2.
Training Details 
Data Sources:
internal Phind dataset of programming problems and solutions
Data Volume:
~80k examples
Methodology:
fine-tuning without LoRA using instruction-answer pairs
Context Length:
4096
Training Time:
3 hours
Hardware Used:
32 A100-80GB GPUs
Model Architecture:
fine-tuned from CodeLlama-34B-Python
LLM NamePhind CodeLlama 34B Python V1 GGUF
Repository 🤗https://huggingface.co/TheBloke/Phind-CodeLlama-34B-Python-v1-GGUF 
Model CreatorPhind
Base Model(s)  Phind CodeLlama 34B Python V1   Phind/Phind-CodeLlama-34B-Python-v1
Model Size34b
Required VRAM14.2 GB
Updated2026-05-06
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-Python-v1-GGUF.

Rank the Phind CodeLlama 34B Python V1 GGUF 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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