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

HuginnV5.5 12.6B 8.0bpw H8 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  HuginnV5.5 12.6B 8.0bpw H8 EXL2   URL Share it on

  3   

HuginnV5.5 12.6B 8.0bpw H8 EXL2 is an open-source language model by LoneStriker. Features: 12.6b LLM, VRAM: 13.1GB, Context: 32K, License: cc-by-4.0, Quantized, LLM Explorer Score: 0.12.

  Conversational   Endpoints compatible   Exl2   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/HuginnV5.5-12.6B-8.0bpw-h8-exl2 

HuginnV5.5 12.6B 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.11529
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HuginnV5.5 12.6B 8.0bpw H8 EXL2 (LoneStriker/HuginnV5.5-12.6B-8.0bpw-h8-exl2)
🌟 Advertise your project 🚀

HuginnV5.5 12.6B 8.0bpw H8 EXL2 Parameters and Internals

Model Type 
text generation, conversational AI
Use Cases 
Areas:
conversational tasks, creative tasks
Applications:
story writing, roleplaying, helping writers with creative tasks
Primary Use Cases:
coming up with creative ideas
Additional Notes 
Huginn is an experimental frankenmerge model using multiple 7B models through the Dare-ties method.
Input Output 
Input Format:
alpaca for instructions, chatML format for conversation
LLM NameHuginnV5.5 12.6B 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/HuginnV5.5-12.6B-8.0bpw-h8-exl2 
Model Size12.6b
Required VRAM13.1 GB
Updated2026-04-25
MaintainerLoneStriker
Model Typemistral
Model Files  8.6 GB: 1-of-2   4.5 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to HuginnV5.5 12.6B 8.0bpw H8 EXL2

Best Alternatives
Context / RAM
Downloads
Likes
...al Nemo Instruct 2407 Bnb 4bit128K / 8.3 GB1756831
...istral Nemo Base 2407 Bnb 4bit128K / 8.3 GB360715
HuginnV5.5 12.6B32K / 25.8 GB00
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/HuginnV5.5-12.6B-8.0bpw-h8-exl2.

Rank the HuginnV5.5 12.6B 8.0bpw H8 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? 53185 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