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

Codellama 13B Oasst Sft V10 by OpenAssistant

 »  All LLMs  »  OpenAssistant  »  Codellama 13B Oasst Sft V10   URL Share it on

  2395   
  Autotrain compatible   Codegen   Custom code   Dataset:openassistant/oasst1   Dataset:shahules786/orca-best   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/OpenAssistant/codellama-13b-oasst-sft-v10 

Codellama 13B Oasst Sft V10 Benchmarks

ARC: 45.39 vs 96.7 (so35)-53.1%
HellaSwag: 62.36 vs 95.3 (gpt4)-34.6%
MMLU: 35.36 vs 88.3 (so35)-60%
TruthfulQA: 45.02 vs 59 (gpt4)-23.7%
WinoGrande: 67.8 vs 87.5 (gpt4)-22.5%
GSM8K: 13.19 vs 96.4 (so35)-86.3%
LLME Score: 0.16232
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codellama 13B Oasst Sft V10 (OpenAssistant/codellama-13b-oasst-sft-v10)
🌟 Advertise your project 🚀

Codellama 13B Oasst Sft V10 Parameters and Internals

Model Type 
Causal decoder-only transformer language model
Additional Notes 
Demo and training logs available, showcasing 6123 steps with batch size 64. Partially trained with orca system messages.
Supported Languages 
en (English)
Training Details 
Data Sources:
OpenAssistant/oasst1, shahules786/orca-best
Methodology:
Fine-tuned using orca system messages and OpenAI's chatml standard prompt format.
Hardware Used:
EPFL's Machine Learning and Optimization Laboratory, EPFL's Natural Language Processing Lab
Model Architecture:
RoPE Theta value (1e6 instead of 1e4)
Responsible Ai Considerations 
Fairness:
Testing conducted in English and may not cover all scenarios, model may produce inaccurate, biased or objectionable responses.
Accountability:
Developers should perform safety testing and tuning for specific applications of the model.
Mitigation Strategies:
Refer to Meta's Responsible Use Guide
Input Output 
Input Format:
OpenAI's chatml standard format
Accepted Modalities:
text
Output Format:
text responses
Performance Tips:
Use the official Llama2 system message for optimal inference.
LLM NameCodellama 13B Oasst Sft V10
Repository 🤗https://huggingface.co/OpenAssistant/codellama-13b-oasst-sft-v10 
Model Size13b
Required VRAM25.9 GB
Updated2025-09-10
MaintainerOpenAssistant
Model Typellama
Model Files  1.9 GB: 1-of-14   1.9 GB: 2-of-14   1.9 GB: 3-of-14   1.9 GB: 4-of-14   1.9 GB: 5-of-14   1.9 GB: 6-of-14   1.9 GB: 7-of-14   1.9 GB: 8-of-14   1.9 GB: 9-of-14   1.9 GB: 10-of-14   1.9 GB: 11-of-14   1.9 GB: 12-of-14   1.9 GB: 13-of-14   1.2 GB: 14-of-14
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32032
Torch Data Typebfloat16

Quantized Models of the Codellama 13B Oasst Sft V10

Model
Likes
Downloads
VRAM
...deLlama 13B Oasst Sft V10 GGUF145715 GB
...odeLlama 13B Oasst Sft V10 AWQ187 GB
...deLlama 13B Oasst Sft V10 GPTQ1387 GB
...deLlama 13B Oasst Sft V10 GGML635 GB

Best Alternatives to Codellama 13B Oasst Sft V10

Best Alternatives
Context / RAM
Downloads
Likes
NexusRaven V2 13B16K / 26 GB1378469
CodeLlama 13B Instruct Hf16K / 26 GB20525154
CodeLlama 13B MORepair16K / 26 GB52
CodeLlama 13B Hf16K / 26 GB7110114
CodeLlama 13B Python Hf16K / 26 GB293351
Tora Code 13B V1.016K / 26 GB170315
...ma 13B Hf Truncated Embeddings16K / 52.3 GB50
CodeLlama 13B Instruct Hf16K / 26 GB118425
...ma Airoboros Orca Platypus 13B16K / 26 GB17080
CodeLlama 13B Hf16K / 26 GB101822
Note: green Score (e.g. "73.2") means that the model is better than OpenAssistant/codellama-13b-oasst-sft-v10.

Rank the Codellama 13B Oasst Sft V10 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? 51262 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 v20241124
  Support LLM Explorer