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Phind Codellama 34B V2 EXL2 by latimar

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  Autotrain compatible   Codegen   Exl2   Llama   Quantized   Region:us

Phind Codellama 34B V2 EXL2 Benchmarks

ARC: 24.57 vs 96.7 (so35)-74.6%
HellaSwag: 27.6 vs 95.3 (gpt4)-71%
MMLU: 25.76 vs 88.3 (so35)-70.8%
TruthfulQA: 48.37 vs 59 (gpt4)-18%
WinoGrande: 71.82 vs 87.5 (gpt4)-17.9%
GSM8K: 23.2 vs 96.4 (so35)-75.9%
LLME Score: 0.18458
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 EXL2 Parameters and Internals

Model Type 
llama
Additional Notes 
The model has several quantized branches based on different BPW (Bits Per Weight) and h (hidden layers) configurations, ranging from 2.55-h6 to 5.0-h8.
LLM NamePhind Codellama 34B V2 EXL2
Repository 🤗https://huggingface.co/latimar/Phind-Codellama-34B-v2-exl2 
Model NamePhind-Codellama-34B-v2
Model Creatorhttps://huggingface.co/Phind
Base Model(s)  Phind CodeLlama 34B V2   Phind/Phind-CodeLlama-34B-v2
Model Size34b
Updated2024-11-21
Maintainerlatimar
Model Typellama
Quantization Typeexl2
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
Phind Codellama 34B V2 EXL2 (latimar/Phind-Codellama-34B-v2-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than latimar/Phind-Codellama-34B-v2-exl2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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