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Llama3 DiscoLeo Instruct 8B 32K V0.1 4bit AWQ by DiscoResearch

By DiscoResearch · 9 downloads
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Llama3 DiscoLeo Instruct 8B 32K V0.1 4bit AWQ is an open-source language model by DiscoResearch. Features: 8b LLM, VRAM: 5.8GB, Context: 64K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  4-bit   4bit   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-32k-v0.1-4bit-awq 

Llama3 DiscoLeo Instruct 8B 32K V0.1 4bit AWQ Parameters and Internals

Model Type 
Instruction-tuned
Use Cases 
Areas:
Research, Commercial applications
Applications:
German text generation, Bilingual tasks
Primary Use Cases:
German economic reports, Educational content creation
Additional Notes 
The model is a 4-bit quantization and is optimized for bilingual tasks.
Supported Languages 
de (High), en (Medium)
Training Details 
Data Sources:
DiscoLM German dataset, Occiglot fineweb dataset
Methodology:
Instruction tuning
Context Length:
8192
Hardware Used:
hessian.Ai 42 Supercomputer
Input Output 
Input Format:
Llama-3 chat template
Accepted Modalities:
text
Output Format:
text
LLM NameLlama3 DiscoLeo Instruct 8B 32K V0.1 4bit AWQ
Repository 🤗https://huggingface.co/DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1-4bit-awq 
Base Model(s)  DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1   DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1
Model Size8b
Required VRAM5.8 GB
Updated2026-09-03
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 Length65536
Model Max Length65536
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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