Japanese-focused lineage
The model card places it in the bakeneko series, which the card says is based on Qwen2.5 and continually pretrained on Japanese-specific corpora.
Open Source Model Profile · rinna
qwen2.5-bakeneko-32b-instruct is a 32.76B-parameter Qwen2-family instruction-tuned model from rinna. According to the model card, it builds on rinna/qwen2.5-bakeneko-32b with Chat Vector and SimPO.
qwen2.5-bakeneko-32b-instruct is published by rinna as a Qwen2-based text-generation model. The captured configuration identifies Qwen2ForCausalLM and Safetensors metadata reports 32763876352 parameters. According to the model card, it is an instruction-tuned variant of rinna/qwen2.5-bakeneko-32b using Chat Vector addition and Simple Preference Optimization.
The model card places it in the bakeneko series, which the card says is based on Qwen2.5 and continually pretrained on Japanese-specific corpora.
According to the model card, instruction ability was added through Chat Vector addition, then refined with SimPO.
According to the model card, the model adheres to the Qwen2.5 chat format and documents tokenizer.apply_chat_template use.
The model card reports Japanese LM Evaluation Harness and Japanese MT-Bench numbers, including 79.62, 8.17, and 7.66 for this model.
Source: rinna/qwen2.5-bakeneko-32b-instruct
Captured: Unknown. Processed: 2026-09-07T19:35:29.595732+00:00.
Qwen2.5 Bakeneko 32B Instruct (rinna/qwen2.5-bakeneko-32b-instruct) Overview This model is an instruction-tuned variant of rinna/qwen2.5-bakeneko-32b , fine-tuned using Chat Vector and Simple Preference Optimization (SimPO). It adheres to the Qwen2.5 chat format and is designed to deliever superior performance in Japanese language tasks. Model Type Model Name Japanese Continual Pre-Training Model Qwen2.5 Bakeneko 32B [HF] Instruction-Tuning Model Qwen2.5 Bakeneko 32B Instruct [HF] [AWQ] [GGUF] [GPTQ int8] [GPTQ int4] DeepSeek R1 Distill Qwen2.5 Merged Reasoning Model DeepSeek R1 Distill Qwen2.5 Bakeneko 32B [HF] [AWQ] [GGUF] [GPTQ i…
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