Japanese-focused chat use
Hub data records conversational text-generation with a Japanese tag, and the model card describes a Japanese-focused small chat model for embedded environments.
Open Source Model Profile · 2121-8
TinySlime-1.1B-Chat-v1.0 is a 1.1B-parameter Japanese-focused Llama chat model from 2121-8. The model card documents Axolotl tuning and synthetic Mixtral-derived data.
TinySlime-1.1B-Chat-v1.0 is published by 2121-8 as a Llama text-generation chat model. The captured configuration identifies LlamaForCausalLM with model type llama, and Safetensors metadata reports 1,100,048,384 parameters. According to the model card, it is a Japanese-focused small model tuned for embedded use.
Hub data records conversational text-generation with a Japanese tag, and the model card describes a Japanese-focused small chat model for embedded environments.
Captured configuration records LlamaForCausalLM with about 1.1B parameters, and the model card states full tuning was done with Axolotl.
According to the model card, the JP Harness table reports TinySlime-Chat average 53.50 across JCommonsenseQA, JNLI, MARC-ja, JSQuAD, and other Japanese tasks.
According to the model card, loading uses AutoModelForCausalLM and AutoTokenizer with a chat template and generated-text decoding example.
Source: 2121-8/TinySlime-1.1B-Chat-v1.0
Captured: Unknown. Processed: 2026-09-07T19:34:28.088449+00:00.
TinySlime-1.1B-Chat-v1.0 TinySlime は日本語に特化した小規模言語モデルです。 モデルの一覧 TinySlime-1.1B-v1.0 TinySlime-1.1B-Chat-v1.0 このモデルのフルチューニングは、 Axolotl を使用して行われました。 モデル概要 TinySlime-1.1B-Chat-v1.0 は、TinySlime-1.1B-Chat-v1.0 をベースに、Mixtral-8x7B-Instruct-v0.1 が作成した合成データを使用して微調整されたチャットモデルです。 このモデルは、スマートフォンや NVIDIA Jetson などの組み込み環境で動かすことを想定して作成されました。 ベンチマーク(JP Language Model Evaluation Harness) model name JCommonsenseQA (3-shot) JNLI (3-shot) MARC-ja (0-shot) JSQuAD (2-shot) jaqket-v2 (1-shot) xlsum (1-shot) xwinograd (0-shot) mgsm (5-shot) AVERAGE lkarasu-1.1B 24.84 34.78 50.48 51.33 18.95 9.21 62.15 2.80 31.82 TinySlime-Chat 66.49 64.36 92.68 84.60 42.14…
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