LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   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

  480   

Codellama 13B Oasst Sft V10 is an open-source language model by OpenAssistant. Features: 13b LLM, VRAM: 25.9GB, Context: 16K, License: llama2, Code Generating, LLM Explorer Score: 0.13, Arc: 45.4, HellaSwag: 62.4, MMLU: 35.4, GSM8K: 13.2.

  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%
GSM8K: 13.19 vs 96.4 (so35)-86.3%
LLME Score: 0.13064
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
Updated2026-05-20
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 GGUF1410795 GB
...odeLlama 13B Oasst Sft V10 AWQ1167 GB
...deLlama 13B Oasst Sft V10 GPTQ13287 GB
...deLlama 13B Oasst Sft V10 GGML645 GB

Best Alternatives to Codellama 13B Oasst Sft V10

Best Alternatives
Context / RAM
Downloads
Likes
NexusRaven V2 13B16K / 26 GB80470
CodeLlama 13B Instruct Hf16K / 26 GB4666160
CodeLlama 13B MORepair16K / 26 GB122
CodeLlama 13B Hf16K / 26 GB2455117
CodeLlama 13B Instruct Hf16K / 26 GB286128
CodeLlama 13B Python Hf16K / 26 GB124151
Tora Code 13B V1.016K / 26 GB93815
...ma 13B Hf Truncated Embeddings16K / 52.3 GB50
...ma Airoboros Orca Platypus 13B16K / 26 GB9960
CodeLlama 13B Hf16K / 26 GB11610
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? 53999 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.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer