Q3 8B Kintsugi by allura-org

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  Autotrain compatible   Axolotl Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-8b-base   Conversational Dataset:ai2-adapt-dev/flan v2 ... Dataset:alfitaria/nemotron-ult... Dataset:allenai/tulu-3-if-augm... Dataset:allenai/tulu-3-sft-per... Dataset:antiven0m/physical-rea... Dataset:cognitivecomputations/... Dataset:freedomintelligence/me... Dataset:grimulkan/physical-rea... Dataset:grimulkan/theory-of-mi... Dataset:kalomaze/opus instruct... Dataset:nbeerbower/gutenberg-m... Dataset:nbeerbower/gutenberg2-...   Dataset:nbeerbower/purpura-dpo Dataset:nobodyexistsontheinter...   Dataset:nvidia/helpsteer3 Dataset:pocketdoc/dans-prosema...   Dataset:pygmalionai/pippa Dataset:simplescaling/s1k-clau...   Endpoints compatible   Instruct   Mergekit   Q3   Quantized   Qwen3   Region:us   Roleplay   Safetensors   Sharded   Tensorflow   Unsloth

Q3 8B Kintsugi Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Q3 8B Kintsugi (allura-org/Q3-8B-Kintsugi)
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Q3 8B Kintsugi Parameters and Internals

LLM NameQ3 8B Kintsugi
Repository ๐Ÿค—https://huggingface.co/allura-org/Q3-8B-Kintsugi 
Base Model(s)  Qwen3 8B Base   Qwen/Qwen3-8B-Base
Model Size8b
Required VRAM16.4 GB
Updated2025-06-17
Maintainerallura-org
Model Typeqwen3
Instruction-BasedYes
Model Files  4.0 GB: 1-of-5   4.0 GB: 2-of-5   4.0 GB: 3-of-5   3.2 GB: 4-of-5   1.2 GB: 5-of-5
Quantization Typeq3
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than allura-org/Q3-8B-Kintsugi.

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Instruction Following and Task Automation  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124