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Tema Q R19.0 by kawasumi

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Tema Q R19.0 is an open-source language model by kawasumi. Features: 8b LLM, VRAM: 17.6GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.24.

Base model:finetune:ibm-granit... Base model:ibm-granite/granite...   Conversational   En   Granite   Instruct   Instruction-tuned   Ja   Multilingual   Non-censored   Region:us   Safetensors   Sharded   Tensorflow   Uncensored   Unfiltered
Model Card on HF 🤗: https://huggingface.co/kawasumi/Tema_Q-R19.0 

Tema Q R19.0 Benchmarks

LLME Score: 0.24223
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tema Q R19.0 (kawasumi/Tema_Q-R19.0)
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Tema Q R19.0 Parameters and Internals

LLM NameTema Q R19.0
Repository 🤗https://huggingface.co/kawasumi/Tema_Q-R19.0 
Base Model(s)  ibm-granite/granite-4.1-8b   ibm-granite/granite-4.1-8b
Model Size8b
Required VRAM17.6 GB
Updated2026-06-29
Maintainerkawasumi
Model Typegranite
Instruction-BasedYes
Model Files  4.2 GB: 1-of-5   4.3 GB: 2-of-5   4.3 GB: 3-of-5   4.2 GB: 4-of-5   0.6 GB: 5-of-5
Supported Languagesja en
Model ArchitectureGraniteForCausalLM
Context Length131072
Model Max Length131072
Transformers Version5.8.0
Tokenizer ClassGPT2Tokenizer
Padding Token<|pad|>
Vocabulary Size100352
Torch Data Typebfloat16

Best Alternatives to Tema Q R19.0

Best Alternatives
Context / RAM
Downloads
Likes
Granite 3.1 8B Instruct128K / 16.4 GB73170168
Granite 3.1 8B Reasoning128K / 16.4 GB51
Granite 3.1 8B Instruct128K / 16.4 GB1851
Granite 3.2 8B Instruct128K / 16.4 GB265691
Granite 3.3 8B Instruct128K / 16.4 GB73741157
Granite 3.3 8B Instruct FP8128K / 8.4 GB62983
Granite 3.3 8B Math Prm V2128K / 16.4 GB8714
...an 3.2 8B Factuality Detection128K / 16.4 GB534
Granite 3.3 8B Qiskit128K / 16.4 GB187
Granite 3.2 8B Instruct128K / 21.5 GB2692
Note: green Score (e.g. "73.2") means that the model is better than kawasumi/Tema_Q-R19.0.

Rank the Tema Q R19.0 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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