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Carasique V0.1 by Nohobby

 »  All LLMs  »  Nohobby  »  Carasique V0.1   URL Share it on

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  Merged Model   Autotrain compatible Base model:nbeerbower/mistral-...   Base model:nlpguy/stableprose Base model:sao10k/mn-12b-lyra-... Base model:thedrummer/rocinant... Base model:unsloth/mistral-nem... Base model:unsloth/mistral-nem...   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nohobby/Carasique-v0.1 

Carasique V0.1 Benchmarks

LLME Score: 0.17546
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Carasique V0.1 (Nohobby/Carasique-v0.1)
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Carasique V0.1 Parameters and Internals

Additional Notes 
This model is a merge of several pre-trained language models using mergekit.
Training Details 
Methodology:
Merged using the della_linear merge method
LLM NameCarasique V0.1
Repository 🤗https://huggingface.co/Nohobby/Carasique-v0.1 
Base Model(s)  StableProse   Rocinante 12B V1   MN 12B Lyra V2a1   Mistral Nemo Base 2407   Mistral Nemo Gutenberg 12B V3   Mistral Nemo Instruct 2407   nlpguy/StableProse   TheDrummer/Rocinante-12B-v1   Sao10K/MN-12B-Lyra-v2a1   unsloth/Mistral-Nemo-Base-2407   nbeerbower/mistral-nemo-gutenberg-12B-v3   unsloth/Mistral-Nemo-Instruct-2407
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-09-08
MaintainerNohobby
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Nohobby/Carasique-v0.1.

Rank the Carasique V0.1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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