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Q2.5 MS Mistoria 72B by Steelskull

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  Merged Model   Autotrain compatible Base model:eva-unit-01/eva-qwe...   Base model:shuttleai/shuttle-3 Base model:zetasepic/qwen2.5-7... Base model:zeuslabs/chronos-pl...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Steelskull/Q2.5-MS-Mistoria-72b 

Q2.5 MS Mistoria 72B Benchmarks

LLME Score: 0.22618
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Q2.5 MS Mistoria 72B (Steelskull/Q2.5-MS-Mistoria-72b)

Q2.5 MS Mistoria 72B Parameters and Internals

LLM NameQ2.5 MS Mistoria 72B
Repository 🤗https://huggingface.co/Steelskull/Q2.5-MS-Mistoria-72b 
Base Model(s)  Shuttle 3   Chronos Platinum 72B   EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1   zetasepic/Qwen2.5-72B-Instruct-abliterated-v2   shuttleai/shuttle-3   ZeusLabs/Chronos-Platinum-72B   EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1   zetasepic/Qwen2.5-72B-Instruct-abliterated-v2
Merged ModelYes
Model Size72b
Required VRAM146.1 GB
Updated2025-01-18
MaintainerSteelskull
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   5.0 GB: 30-of-31   0.3 GB: 31-of-31
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB221
...A Abliterated TIES Qwen2.5 72B128K / 146.1 GB180
72B Qwen2.5 Kunou V1128K / 146 GB5721
EVA Qwen2.5 72B V0.1128K / 146 GB2916
EVA Qwen2.5 72B V0.0128K / 146 GB165
Qwen2.5 72B Instruct32K / 145.5 GB225108781
Athene V2 Chat32K / 146 GB3588289
Qwen2 72B Instruct32K / 145.5 GB36292713
Note: green Score (e.g. "73.2") means that the model is better than Steelskull/Q2.5-MS-Mistoria-72b.

Rank the Q2.5 MS Mistoria 72B Capabilities

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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  
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Multi-Language Support and Translation  

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Release v20241227
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