LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Phind Codellama 34B V2 EXL2 by latimar

 »  All LLMs  »  latimar  »  Phind Codellama 34B V2 EXL2   URL Share it on

  8   
  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: 0.19555
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

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
Updated2024-09-07
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)

Best Alternatives to Phind Codellama 34B V2 EXL2

Best Alternatives
Context / RAM
Downloads
Likes
Codellama Extraction16K / 67.6 GB60
CodeLlama 34B Python Fp1616K / 67.5 GB143212
Codellama 34B Bnb 4bit16K / 18.2 GB12052
CodeLlama 34B Instruct Fp1616K / 67.5 GB14297
CodeLlama 34B Fp1616K / 67.5 GB224
XwinCoder 34B 4.0bpw H6 EXL216K / 17.4 GB71
...Codellama 34B V2 Megacode EXL216K /  GB1110
...gpt 32K Codellama 34B Instruct32K / 67.5 GB28362
CodeLlama 34B Instruct Hf16K / 67.5 GB15791272
Phind CodeLlama 34B V216K / 67.5 GB34755817
Note: green Score (e.g. "73.2") means that the model is better than latimar/Phind-Codellama-34B-v2-exl2.

Rank the Phind Codellama 34B V2 EXL2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 35693 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
  Support LLM Explorer