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Riverfish Rocinante 12B by amylynn

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Riverfish Rocinante 12B is an open-source language model by amylynn. Features: 12b LLM, VRAM: 49.4GB, Context: 1000K, License: apache-2.0, Merged, LLM Explorer Score: 0.28.

  Merged Model Base model:thedrummer/rivermin... Base model:thedrummer/rocinant... Base model:thedrummer/rocinant... Base model:thedrummer/rocinant... Base model:thedrummer/unslopne...   Mistral   Region:us   Safetensors   Sharded   Tensorflow Thedrummer/rivermind-lux-12b-v...   Thedrummer/rocinante-12b-v1   Thedrummer/rocinante-12b-v1.1   Thedrummer/rocinante-x-12b-v1   Thedrummer/unslopnemo-12b-v4.1
Model Card on HF 🤗: https://huggingface.co/amylynn/Riverfish-Rocinante-12B 

Riverfish Rocinante 12B Benchmarks

LLME Score: 0.27844
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Riverfish Rocinante 12B (amylynn/Riverfish-Rocinante-12B)

Riverfish Rocinante 12B Parameters and Internals

LLM NameRiverfish Rocinante 12B
Repository 🤗https://huggingface.co/amylynn/Riverfish-Rocinante-12B 
Base Model(s)  Rocinante 12B V1   TheDrummer/Rocinante-12B-v1.1   Rocinante X 12B V1   TheDrummer/UnslopNemo-12B-v4.1   Rivermind Lux 12B V1   TheDrummer/Rocinante-12B-v1   TheDrummer/Rocinante-12B-v1.1   TheDrummer/Rocinante-X-12B-v1   TheDrummer/UnslopNemo-12B-v4.1   TheDrummer/Rivermind-Lux-12B-v1
Merged ModelYes
Model Size12b
Required VRAM49.4 GB
Updated2026-07-27
Maintaineramylynn
Model Typemistral
Model Files  2.7 GB: 1-of-11   4.9 GB: 2-of-11   5.0 GB: 3-of-11   4.9 GB: 4-of-11   5.0 GB: 5-of-11   4.9 GB: 6-of-11   5.0 GB: 7-of-11   4.9 GB: 8-of-11   5.0 GB: 9-of-11   4.9 GB: 10-of-11   2.2 GB: 11-of-11
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version5.12.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072

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Note: green Score (e.g. "73.2") means that the model is better than amylynn/Riverfish-Rocinante-12B.

Rank the Riverfish Rocinante 12B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  
Code Generation  
Multi-Language Support and Translation  

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