Phind CodeLlama 34B V1 AWQ by TheBloke

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Phind CodeLlama 34B V1 AWQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 18.3GB, Context: 16K, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.09.

  4-bit   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 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 V1 AWQ Parameters and Internals

Model Type 
code generation
Use Cases 
Areas:
code generation
Limitations:
Not chat-tuned; limited testing
Additional Notes 
Compatible with AutoAWQ and vLLM for quantized models.
Training Details 
Data Sources:
internal Phind dataset consisting of ~80k high quality programming problems and solutions
Data Volume:
~160k examples
Methodology:
Native fine-tune without LoRA. Decontamination methodology applied.
Context Length:
4096
Training Time:
90 GPU-hours
Hardware Used:
32x A100-80GB GPUs
Safety Evaluation 
Ethical Considerations:
Limited testing has been performed. Additional safety testing is recommended before deployment.
Input Output 
Input Format:
{prompt}
Accepted Modalities:
code
Output Format:
Generated code snippets
LLM NamePhind CodeLlama 34B V1 AWQ
Repository 🤗https://huggingface.co/TheBloke/Phind-CodeLlama-34B-v1-AWQ 
Model CreatorPhind
Base Model(s)  Phind CodeLlama 34B V1   Phind/Phind-CodeLlama-34B-v1
Model Size34b
Required VRAM18.3 GB
Updated2026-04-15
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-v1-AWQ.

Rank the Phind CodeLlama 34B 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  
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Release v20260328a