Phind CodeLlama 34B V1 by Phind

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Phind CodeLlama 34B V1 Benchmarks

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Phind CodeLlama 34B V1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Phind-CodeLlama-34B-v2 is recommended for better performance with 73.8% pass@1.
Training Details 
Data Sources:
Phind's proprietary dataset
Data Volume:
~80k high quality programming problems and solutions
Methodology:
Fine-tuning without LoRA. Utilized instruction-answer pairs structurally different from HumanEval.
Context Length:
4096
Training Time:
90 GPU-hours
Hardware Used:
32x A100-80GB GPUs
Input Output 
Input Format:
Instruction prompts with '\n' separator
Accepted Modalities:
text
Output Format:
Generated text response
Performance Tips:
Do not use Llama chat markup, add '\n: ' at end of task.
LLM NamePhind CodeLlama 34B V1
Repository ๐Ÿค—https://huggingface.co/Phind/Phind-CodeLlama-34B-v1 
Model Size34b
Required VRAM67.5 GB
Updated2025-06-09
MaintainerPhind
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
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.33.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Phind CodeLlama 34B V1 (Phind/Phind-CodeLlama-34B-v1)

Quantized Models of the Phind CodeLlama 34B V1

Model
Likes
Downloads
VRAM
Phind CodeLlama 34B V1 GGUF1547814 GB
Phind CodeLlama 34B V1 AWQ11618 GB
Phind CodeLlama 34B V1 GPTQ113017 GB

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

Rank the Phind CodeLlama 34B V1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124