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DiscoLM 70B by DiscoResearch

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DiscoLM 70B Benchmarks

ARC: 68.77 vs 96.7 (so35)-28.9%
HellaSwag: 86.1 vs 95.3 (gpt4)-9.7%
MMLU: 68.58 vs 88.3 (so35)-22.3%
TruthfulQA: 57.64 vs 59 (gpt4)-2.3%
WinoGrande: 83.58 vs 87.5 (gpt4)-4.5%
GSM8K: 63.53 vs 96.4 (so35)-34.1%
LLME Score: 0.19451
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

DiscoLM 70B Parameters and Internals

LLM NameDiscoLM 70B
Repository 🤗https://huggingface.co/DiscoResearch/DiscoLM-70b 
Model CreatorDiscoResearch
Model Size70b
Required VRAM138 GB
Updated2024-10-18
MaintainerDiscoResearch
Model Typellama
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Supported Languagesen de
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32032
Torch Data Typefloat16
DiscoLM 70B (DiscoResearch/DiscoLM-70b)

Quantized Models of the DiscoLM 70B

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VRAM
DiscoLM 70B GGUF3105029 GB
DiscoLM 70B GPTQ41035 GB

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Note: green Score (e.g. "73.2") means that the model is better than DiscoResearch/DiscoLM-70b.

Rank the DiscoLM 70B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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Release v2024072803
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