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

Orca Mini V3 13B by pankajmathur

 »  All LLMs  »  pankajmathur  »  Orca Mini V3 13B   URL Share it on

  3115   
  Arxiv:2306.02707   Autotrain compatible   Dataset:ehartford/dolphin Dataset:psmathur/orca mini v1 ...   En   Endpoints compatible   Fp16   Llama   Model-index   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_v3_13b 

Orca Mini V3 13b Benchmarks

MMLU Pro: 14.5
GPQA: 2.01
MUSR: 17.11
BBH: 25.55
IFEval: 28.97 vs 88 (so35)-67.1%
ARC: 63.14 vs 96.7 (so35)-34.7%
HellaSwag: 82.35 vs 95.3 (gpt4)-13.6%
MMLU: 56.52 vs 88.3 (so35)-36%
TruthfulQA: 51.81 vs 59 (gpt4)-12.2%
WinoGrande: 76.48 vs 87.5 (gpt4)-12.6%
GSM8K: 13.12 vs 96.4 (so35)-86.4%
MATH Lvl 5: 1.96
LLME Score: 0.22094
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca Mini V3 13B (pankajmathur/orca_mini_v3_13b)

Orca Mini V3 13B Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
While this model aims for accuracy, it can occasionally produce inaccurate or misleading results. Despite diligent efforts in refining the pretraining data, there remains a possibility for the generation of inappropriate, biased, or offensive content. Exercise caution and cross-check information when necessary.
Training Details 
Data Sources:
psmathur/orca_mini_v1_dataset, ehartford/dolphin
Methodology:
Progressive Learning from Complex Explanation Traces of GPT-4
Input Output 
Input Format:
Prompts structured as "### System: <instruction> ### User: <user_input>### Assistant:"
Accepted Modalities:
text
Output Format:
Generated text response
LLM NameOrca Mini V3 13b
Repository 🤗https://huggingface.co/pankajmathur/orca_mini_v3_13b 
Base Model(s)  Orca Mini 13b   pankajmathur/orca_mini_13b
Model Size13b
Required VRAM26 GB
Updated2025-01-14
Maintainerpankajmathur
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesen
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Orca Mini V3 13B

Best Alternatives
Context / RAM
Downloads
Likes
Llama13b 32K Illumeet Finetune32K / 26 GB140
...Maid V3 13B 32K 8.0bpw H8 EXL232K / 13.2 GB121
...Maid V3 13B 32K 6.0bpw H6 EXL232K / 10 GB111
WhiteRabbitNeo 13B V116K / 26 GB1236406
CodeLlama 13B Python Fp1616K / 26 GB115325
CodeLlama 13B Instruct Fp1616K / 26 GB134629
CodeLlama 13B Fp1616K / 26 GB1466
Codellama 13B Bnb 4bit16K / 7.2 GB971
...Llama 13B Instruct Hf 4bit MLX16K / 7.8 GB262
WhiteRabbitNeo 13B V1 4bit Mlx16K / 7.8 GB51
Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_v3_13b.

Rank the Orca Mini V3 13B 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? 41362 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 v20241227
  Support LLM Explorer