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

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Llama3 DiscoLeo Instruct 8B 32K V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama3 DiscoLeo Instruct 8B 32K V0.1 Parameters and Internals

Model Type 
instruction-tuned, long-context
Use Cases 
Areas:
Research, Commercial applications
Supported Languages 
German (high proficiency)
Training Details 
Data Sources:
ociglot-fineweb-v0.5, DiscoLM German dataset
Data Volume:
65 billion high-quality German tokens + 100 million tokens at 32k context length
Methodology:
Full fine-tuning with axolotl
Context Length:
32768
Hardware Used:
42 supercomputer at hessian.Ai
Model Architecture:
Similar to LeoLM and Occiglot models
Input Output 
Input Format:
Use Llama-3 chat template with <role, content> format
Accepted Modalities:
text
Output Format:
Text output
Performance Tips:
Use appropriate GPU to leverage full potential
LLM NameLlama3 DiscoLeo Instruct 8B 32K V0.1
Repository ๐Ÿค—https://huggingface.co/DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-09
MaintainerDiscoResearch
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesde
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length65536
Model Max Length65536
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16
Llama3 DiscoLeo Instruct 8B 32K V0.1 (DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1)

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Note: green Score (e.g. "73.2") means that the model is better than DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1.

Rank the Llama3 DiscoLeo Instruct 8B 32K V0.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124