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Phind CodeLlama 34B V1 by Phind

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  Autotrain compatible   Code llama   Codegen   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Phind/Phind-CodeLlama-34B-v1 

Phind CodeLlama 34B V1 Benchmarks

ARC: 27.13 vs 96.7 (so35)-71.9%
HellaSwag: 28.28 vs 95.3 (gpt4)-70.3%
MMLU: 28.94 vs 88.3 (so35)-67.2%
TruthfulQA: 44.94 vs 59 (gpt4)-23.8%
WinoGrande: 72.61 vs 87.5 (gpt4)-17%
GSM8K: 20.47 vs 96.4 (so35)-78.8%
LLME Score: 0.20573
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 (Phind/Phind-CodeLlama-34B-v1)

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 🤗https://huggingface.co/Phind/Phind-CodeLlama-34B-v1 
Model Size34b
Required VRAM67.5 GB
Updated2025-02-05
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 V1

Model
Likes
Downloads
VRAM
Phind CodeLlama 34B V1 GGUF1581914 GB
Phind CodeLlama 34B V1 AWQ1718 GB
Phind CodeLlama 34B V1 GPTQ113317 GB

Best Alternatives to Phind CodeLlama 34B V1

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...gpt 32K Codellama 34B Instruct32K / 67.5 GB1782
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Phind CodeLlama 34B V216K / 67.5 GB3651829
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CodeLlama 34B Instruct Hf16K / 67.5 GB147814
CodeLlama 34B Hf16K / 67.5 GB22282
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

🆘 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 v20241227
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