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Phind CodeLlama 34B Python V1 by Phind

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Model Card on HF 🤗: https://huggingface.co/Phind/Phind-CodeLlama-34B-Python-v1 

Phind CodeLlama 34B Python V1 Benchmarks

ARC: 24.66 vs 96.7 (so35)-74.5%
HellaSwag: 29.77 vs 95.3 (gpt4)-68.8%
MMLU: 27.95 vs 88.3 (so35)-68.3%
TruthfulQA: 45.27 vs 59 (gpt4)-23.3%
WinoGrande: 68.82 vs 87.5 (gpt4)-21.3%
GSM8K: 21.53 vs 96.4 (so35)-77.7%
LLME Score: 0.21498
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 (Phind/Phind-CodeLlama-34B-Python-v1)

Phind CodeLlama 34B Python V1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model has undergone limited testing and is somewhat instruction-tuned but not chat-tuned.
Training Details 
Data Sources:
internal Phind dataset
Data Volume:
~80k high quality programming problems and solutions
Methodology:
Standard fine-tuning (not using LoRA)
Context Length:
4096
Training Time:
3 hours
Hardware Used:
32 A100-80GB GPUs
Input Output 
Input Format:
Instruction with task ending in '\n: '
Accepted Modalities:
text
Output Format:
Text generation
Performance Tips:
Avoid using chat-specific formatting like Llama chat markup.
LLM NamePhind CodeLlama 34B Python V1
Repository 🤗https://huggingface.co/Phind/Phind-CodeLlama-34B-Python-v1 
Model Size34b
Required VRAM67.5 GB
Updated2024-12-22
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

Quantized Models of the Phind CodeLlama 34B Python V1

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...d CodeLlama 34B Python V1 GGUF13101014 GB
...nd CodeLlama 34B Python V1 AWQ22718 GB
...d CodeLlama 34B Python V1 GPTQ71817 GB

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

Rank the Phind CodeLlama 34B Python V1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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