%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
L3.3 Damascus R1
モデル概要
モデル特徴
モデル能力
使用事例
base_model:
- SicariusSicariiStuff/Negative_LLAMA_70B
- TheDrummer/Anubis-70B-v1
- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
- TheSkullery/L3.1x3.3-Hydroblated-R1-70B-v3
- Sao10K/L3.3-70B-Euryale-v2.3
- Sao10K/L3.1-70B-Hanami-x1
- Sao10K/70B-L3.3-Cirrus-x1 library_name: transformers license: other license_name: eva-llama3.3
L3.3-Damascus-R1
Model Information
L3.3-Damascus-R1
Model Composition
- L3.1x3.3-Hydroblated-R1-70B-v3 Base model [Unreleased]
- EVA-LLaMA-3.33 Core capabilities
- Euryale-v2.3 Enhanced reasoning
- Cirrus-x1 Improved coherence
- Hanami-x1 Balanced responses
- Anubis-v1 Enhanced detail
- Negative_LLAMA Reduced bias
Damascus-R1 builds upon some elements of the Nevoria foundation but represents a significant step forward with a completely custom-made DeepSeek R1 Distill base: Hydroblated-R1-V3. Constructed using the new SCE (Select, Calculate, and Erase) merge method, Damascus-R1 prioritizes stability, intelligence, and enhanced awareness.
Technical Architecture
Leveraging the SCE merge method and custom base, Damascus-R1 integrates newly added specialized components from multiple high-performance models:
- EVA and EURYALE foundations for creative expression and scene comprehension
- Cirrus and Hanami elements for enhanced reasoning capabilities
- Anubis components for detailed scene description
- Negative_LLAMA integration for balanced perspective and response
Core Philosophy
Damascus-R1 embodies the principle that AI models can be intelligent and be fun. This version specifically addresses recent community feedback and iterates on prior experiments, optimizing the balance between technical capability and natural conversation flow.
Base Architecture
At its core, Damascus-R1 utilizes the entirely custom Hydroblated-R1 base model, specifically engineered for stability, enhanced reasoning, and performance. The SCE merge method, with settings finely tuned based on community feedback from evaluations of Experiment-Model-Ver-A, L3.3-Exp-Nevoria-R1-70b-v0.1 and L3.3-Exp-Nevoria-70b-v0.1, enables precise and effective component integration while maintaining model coherence and reliability.
UGI-Benchmark Results:
Core Metrics
Model Information
Aggregated Scores
Individual Scores
Recommended Sampler Settings: By @Geechan
Dynamic Temperature
Static Temperature:
Min P
DRY Settings
Recommended Templates & Prompts
Quantized Versions
Support & Community:
Special Thanks
- @Geechan for feedback and sampler settings
- @Konnect for their feedback and templates
- @Kistara for their feedback and help with the model mascot design
- @Thana Alt for their feedback and Quants
- @Lightning_missile for their feedback
- @Yemosvoto for the model name
- The Arli community for feedback and testers
- The BeaverAI communty for feedback and testers
I wish I could add everyone but im pretty sure it would be as long as the card!
Transformers Transformers 複数言語対応 Transformers 複数言語対応 Transformers 英語