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Phind CodeLlama 34B V1 GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:phind/phind-codella... Base model:quantized:phind/phi...   Code llama   Codegen   Gptq   Llama   Model-index   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Phind-CodeLlama-34B-v1-GPTQ 

Phind CodeLlama 34B V1 GPTQ Benchmarks

LLME Score: 0.10469
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 GPTQ (TheBloke/Phind-CodeLlama-34B-v1-GPTQ)
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Phind CodeLlama 34B V1 GPTQ Parameters and Internals

Model Type 
text-generation, code llama
Additional Notes 
Instruction-tuned but not chat-tuned. Do not use this in a chat-friendly format like other Llama models. Example prompt: 'Write me a linked list implementation: \n'.
Training Details 
Data Sources:
Evol Instruct Code, proprietary dataset of ~80k high quality programming problems and solutions
Data Volume:
~160k examples
Methodology:
fine-tuning with DeepSpeed ZeRO 3 and Flash Attention 2; no LoRA was used
Context Length:
4096
Training Time:
3 hours on 32 A100-80GB GPUs
Hardware Used:
32x A100-80GB
Input Output 
Input Format:
Plain-with-newline
Accepted Modalities:
text
Output Format:
text
LLM NamePhind CodeLlama 34B V1 GPTQ
Repository 🤗https://huggingface.co/TheBloke/Phind-CodeLlama-34B-v1-GPTQ 
Model CreatorPhind
Base Model(s)  Phind CodeLlama 34B V1   Phind/Phind-CodeLlama-34B-v1
Model Size34b
Required VRAM17.7 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  17.7 GB
GPTQ QuantizationYes
Quantization Typegptq
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-GPTQ.

Rank the Phind CodeLlama 34B V1 GPTQ 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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