Phind CodeLlama 34B V2 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 V2 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 V2 AWQ (TheBloke/Phind-CodeLlama-34B-v2-AWQ)

Phind CodeLlama 34B V2 AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
programming assistance
Considerations:
This model has undergone very limited testing and additional safety testing should be performed.
Supported Languages 
Python (proficient), C/C++ (proficient), TypeScript (proficient), Java (proficient)
Training Details 
Data Volume:
1.5B tokens
Context Length:
4096
Training Time:
15 hours
Hardware Used:
32x A100-80GB
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:
Alpaca/Vicuna instruction format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use prompt templates to ensure effective communication with the model.
LLM NamePhind CodeLlama 34B V2 AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Phind-CodeLlama-34B-v2-AWQ 
Model CreatorPhind
Base Model(s)  Phind CodeLlama 34B V2   Phind/Phind-CodeLlama-34B-v2
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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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