Phind CodeLlama 34B Python V1 AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:phind/phind-codella... Base model:quantized:phind/phi...   Code llama   Codegen   Llama   Model-index   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Phind CodeLlama 34B Python V1 AWQ 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 Python V1 AWQ (TheBloke/Phind-CodeLlama-34B-Python-v1-AWQ)

Phind CodeLlama 34B Python V1 AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Applications:
Programming
Primary Use Cases:
Code generation
Limitations:
Model has limited testing and may not be reliable for critical tasks
Considerations:
Should not use the Llama chat markup; rather use plain instructions ending with '\n'
Additional Notes 
Compatible with AWQ, vLLM, and AutoAWQ
Training Details 
Data Volume:
~80k high quality programming problems
Methodology:
Fine-tuning without LoRA using DeepSpeed ZeRO 3 and Flash Attention 2
Context Length:
4096
Training Time:
90 GPU-hours
Hardware Used:
32 A100-80GB GPUs
Model Architecture:
Native fine-tune of CodeLlama-34B and CodeLlama-34B-Python
Safety Evaluation 
Ethical Considerations:
This model has undergone very limited testing. Additional safety testing should be performed before any real-world deployments.
Input Output 
Input Format:
Plain text with newline ending
Accepted Modalities:
text
Output Format:
Text generation
Performance Tips:
Avoid using Llama chat markup; use plain instruction ending with '\n'
Release Notes 
Version:
1.0
Notes:
Initial release with 69.5% pass@1 on HumanEval
LLM NamePhind CodeLlama 34B Python V1 AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Phind-CodeLlama-34B-Python-v1-AWQ 
Model CreatorPhind
Base Model(s)  Phind CodeLlama 34B Python V1   Phind/Phind-CodeLlama-34B-Python-v1
Model Size34b
Required VRAM18.3 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-2   8.4 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
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

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

Rank the Phind CodeLlama 34B Python V1 AWQ 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 v20241217