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Miisce One by nlpguy

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Miisce One is an open-source language model by nlpguy. Features: 14.8b LLM, VRAM: 29.7GB, Context: 128K, Merged, LLM Explorer Score: 0.29.

  Merged Model   Arxiv:2403.19522 Base model:sthenno/tempesthenn... Base model:sthenno/tempesthenn... Base model:sthenno/tempesthenn...   Conversational   Deploy:azure   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nlpguy/Miisce-one 

Miisce One Benchmarks

LLME Score: 0.28932
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Miisce One (nlpguy/Miisce-one)
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Miisce One Parameters and Internals

LLM NameMiisce One
Repository 🤗https://huggingface.co/nlpguy/Miisce-one 
Base Model(s)  Tempesthenno Ppo Ckpt40   Tempesthenno Nuslerp 0124   Tempesthenno Kto 0205 Ckpt80   sthenno/tempesthenno-ppo-ckpt40   sthenno/tempesthenno-nuslerp-0124   sthenno/tempesthenno-kto-0205-ckpt80
Merged ModelYes
Model Size14.8b
Required VRAM29.7 GB
Updated2026-05-02
Maintainernlpguy
Model Typeqwen2
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Miisce One

Best Alternatives
Context / RAM
Downloads
Likes
Viper Coder V1.7 Vsm6986K / 29.7 GB246
Cheng 2 Ingredient4986K / 29.7 GB50
...acilla Vipercoderv1.7vsm6 0308986K / 29.7 GB70
Temp Model For 2 Mini 006986K / 29.7 GB80
Tempmotacilla Cinerea 0308128K / 29.7 GB72
...irtuoso Small V2 Tensopolis V1128K / 29.7 GB131
Tempesthenno Kto 0205 Ckpt80128K / 29.6 GB403
Merge Model 20250308 2128K / 29.7 GB110
Viper Coder Hybrid V1.3128K / 29.7 GB139
Virtuoso Small Tensopolis V2128K / 29.7 GB102
Note: green Score (e.g. "73.2") means that the model is better than nlpguy/Miisce-one.

Rank the Miisce One 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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