Hugging Face model: tokutsu/japanese-answer-13b-8bit
Author: tokutsu
Created: 2025-03-13 06:10:05
Last modified: 2025-04-21 10:21:52
Likes: 0 | Downloads: 5
Tags: pytorch, safetensors, llama, japanese, instruction-tuning, preference-optimization, quantized, causal-lm, axolotl, orpo, trl, exllamav2, exl2, 8-bit precision, text-generation-inference, Inference Endpoints, ELYZA-tasks-100, Japanese MT-Bench, japanese-answer, ja, dataset:Aratako/HelpSteer2-Preferences-formatted, dataset:Aratako/Magpie-Tanuki-Instruction-Selected-Evolved-26.5k, dataset:Aratako/Magpie-Tanuki-Qwen2.5-72B-Answered, dataset:Aratako/Open-Platypus-Japanese-masked-formatted, dataset:Aratako/Self-Instruct-Qwen2.5-72B-Instruct-60k, dataset:Aratako/Synthetic-JP-EN-Coding-Dataset-801k-50k, dataset:Aratako/aya-ja-evol-instruct-calm3-dpo-masked-formatted, dataset:Aratako/iterative-dpo-data-for-ORPO-iter3, dataset:Aratako/iterative-dpo-data-for-SimPO-iter2, dataset:Aratako/magpie-qwen2.5-32b-reasoning-100k-formatted, dataset:Aratako/magpie-reasoning-llama-nemotron-70b-100k-filtered, dataset:Aratako/magpie-ultra-v0.1-formatted, dataset:Aratako/orca-agentinstruct-1M-v1-selected, dataset:DeL-TaiseiOzaki/Tengentoppa-sft-qwen2.5-32b-reasoning-100k, dataset:cl-nagoya/auto-wiki-qa, dataset:ichikara-instruction, dataset:kanhatakeyama/ramdom-to-fixed-multiturn-Calm3, dataset:kanhatakeyama/wizardlm8x22b-logical-math-coding-sft_additional-ja, dataset:llm-jp/magpie-sft-v1.0, dataset:saillab/alpaca-japanese-cleaned, dataset:tokutsu/japanese-tasks1000, base_model:llm-jp/llm-jp-3-13b, base_model:quantized:llm-jp/llm-jp-3-13b, license:cc-by-nc-sa-4.0, 8-bit, region:us
Base model relation: quantized
Base models: id: llm-jp/llm-jp-3-13b
Card metadata:
license: cc-by-nc-sa-4.0
tags: japanese, instruction-tuning, preference-optimization, quantized, causal-lm, axolotl, orpo, trl, exllamav2, exl2, 8-bit precision, text-generation-inference, Inference Endpoints, ELYZA-tasks-100, Japanese MT-Bench, japanese-answer
language: ja
model_name: japanese-answer-13b-8bit
base_model: llm-jp/llm-jp-3-13b
datasets: Aratako/HelpSteer2-Preferences-formatted, Aratako/Magpie-Tanuki-Instruction-Selected-Evolved-26.5k, Aratako/Magpie-Tanuki-Qwen2.5-72B-Answered, Aratako/Open-Platypus-Japanese-masked-formatted, Aratako/Self-Instruct-Qwen2.5-72B-Instruct-60k, Aratako/Synthetic-JP-EN-Coding-Dataset-801k-50k, Aratako/aya-ja-evol-instruct-calm3-dpo-masked-formatted, Aratako/iterative-dpo-data-for-ORPO-iter3, Aratako/iterative-dpo-data-for-SimPO-iter2, Aratako/magpie-qwen2.5-32b-reasoning-100k-formatted, Aratako/magpie-reasoning-llama-nemotron-70b-100k-filtered, Aratako/magpie-ultra-v0.1-formatted, Aratako/orca-agentinstruct-1M-v1-selected, DeL-TaiseiOzaki/Tengentoppa-sft-qwen2.5-32b-reasoning-100k, cl-nagoya/auto-wiki-qa, ichikara-instruction, kanhatakeyama/ramdom-to-fixed-multiturn-Calm3, kanhatakeyama/wizardlm8x22b-logical-math-coding-sft_additional-ja, llm-jp/magpie-sft-v1.0, saillab/alpaca-japanese-cleaned, tokutsu/japanese-tasks1000
quantized_by: exllamav2
metrics: elyza/ELYZA-tasks-100, Stability-AI/japanese_mt_bench