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

Llama3 DiscoLeo Instruct 8B V0.1 4bit AWQ by DiscoResearch

 »  All LLMs  »  DiscoResearch  »  Llama3 DiscoLeo Instruct 8B V0.1 4bit AWQ   URL Share it on

  9   

Llama3 DiscoLeo Instruct 8B V0.1 4bit AWQ is an open-source language model by DiscoResearch. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  4-bit   4bit   Autotrain compatible   Awq   Conversational   De   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1-4bit-awq 

Llama3 DiscoLeo Instruct 8B V0.1 4bit AWQ Benchmarks

LLME Score: 0.13595
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 DiscoLeo Instruct 8B V0.1 4bit AWQ (DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1-4bit-awq)
🌟 Advertise your project 🚀

Llama3 DiscoLeo Instruct 8B V0.1 4bit AWQ Parameters and Internals

Model Type 
instruction tuned, language model
Use Cases 
Areas:
Research, Commercial applications
Applications:
Natural Language Processing, Translation, Conversational AI
Primary Use Cases:
German instruction following, Text generation
Limitations:
Primarily focuses on German language
Considerations:
Ensure prompt content is suitable for model's capabilities and context.
Additional Notes 
The model utilizes a 4-bit quantization with customized Spanish and German calibration dataset.
Supported Languages 
german (High), english (High)
Training Details 
Data Sources:
DiscoResearch Llama3-German-8B, Meta Llama3-8B, DiscoResearch German Instruction dataset
Data Volume:
65 billion tokens
Methodology:
Instruction tuning
Context Length:
8192
Hardware Used:
hessian.AI 42 supercomputer
Model Architecture:
Customized LLaMA architecture
Input Output 
Input Format:
Chat template formatted prompts
Accepted Modalities:
text
Output Format:
Text responses to prompts
Performance Tips:
Optimize prompts to focus on instruction-based tasks.
LLM NameLlama3 DiscoLeo Instruct 8B V0.1 4bit AWQ
Repository 🤗https://huggingface.co/DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1-4bit-awq 
Base Model(s)  DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1   DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1
Model Size8b
Required VRAM5.8 GB
Updated2025-09-23
MaintainerDiscoResearch
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesde en
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Llama3 DiscoLeo Instruct 8B V0.1 4bit AWQ

Best Alternatives
Context / RAM
Downloads
Likes
...8B Instruct Gradient 1048K AWQ1024K / 5.8 GB70
...radient 1048K AWQ 4bit Smashed1024K / 5.8 GB71
...Instruct 262K AWQ 4bit Smashed256K / 5.8 GB54
...ta Llama 3 8B Instruct 64K AWQ64K / 5.8 GB60
... Instruct 8B 32K V0.1 4bit AWQ64K / 5.8 GB80
Llama 3 8B Instruct AWQ8K / 5.8 GB9619128
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB12675
...eta Llama 3 8B Instruct Hf AWQ8K / 5.8 GB7969
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB60
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB70
Note: green Score (e.g. "73.2") means that the model is better than DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1-4bit-awq.

Rank the Llama3 DiscoLeo Instruct 8B V0.1 4bit AWQ 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? 52721 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