Model: mradermacher/Mistral-Nemo-NT-Ko-12B-sft-GGUF
Author: mradermacher
Library: transformers
Tags: transformers, gguf, en, ko, ja, zh, dataset:4DR1455/finance_questions, dataset:Aratako/Synthetic-JP-Conversations-Magpie-Nemotron-4-10k, dataset:Aratako/Synthetic-JP-EN-Coding-Dataset-Magpie-69k, dataset:Aratako/Synthetic-Japanese-Roleplay-NSFW-Claude-3.5s-10.5k-formatted, dataset:BCCard/BCCard-Finance-Kor-QnA, dataset:CarrotAI/ko-code-alpaca-QA, dataset:ChuGyouk/AI_healthcare_QA_samples_Sonnet3.5, dataset:DavidLanz/medical_instruction, dataset:Dusker/lawyer-llama, dataset:Gryphe/Sonnet3.5-Charcard-Roleplay, dataset:HAERAE-HUB/qarv-instruct-ko, dataset:HachiML/alpaca_jp_math, dataset:Magpie-Align/Magpie-Llama-3.1-Pro-MT-300K-v0.1, dataset:Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese, dataset:beomi/KoAlpaca-v1.1a, dataset:codefuse-ai/Evol-instruction-66k, dataset:frankminors123/belle-math-zh, dataset:gbharti/wealth-alpaca_lora, dataset:iam-ajaymeena/Self-Instruct-Japanese-Elzya-13B, dataset:jihye-moon/LawQA-Ko, dataset:jondurbin/gutenberg-dpo-v0.1, dataset:junyeong-nero/kin_med_100K_edited, dataset:kyujinpy/KOR-OpenOrca-Platypus-v3, dataset:lavita/medical-qa-datasets, dataset:microsoft/orca-math-word-problems-200k, dataset:neural-bridge/rag-dataset-12000, dataset:p1atdev/ichikara-instruction, dataset:qiaojin/PubMedQA, dataset:shibing624/roleplay-zh-sharegpt-gpt4-data, dataset:team-hatakeyama-phase2/AutoMultiTurnByCalm3-22B-Corrected-reformatted, dataset:ymoslem/Law-StackExchange, dataset:zzunyang/LawQA_LawSee, base_model:werty1248/Mistral-Nemo-NT-Ko-12B-sft, base_model:quantized:werty1248/Mistral-Nemo-NT-Ko-12B-sft, license:apache-2.0, endpoints_compatible, region:us, conversational
Base models (quantized): id: werty1248/Mistral-Nemo-NT-Ko-12B-sft
Card metadata: base_model: werty1248/Mistral-Nemo-NT-Ko-12B-sft
datasets: 4DR1455/finance_questions, Aratako/Synthetic-JP-Conversations-Magpie-Nemotron-4-10k, Aratako/Synthetic-JP-EN-Coding-Dataset-Magpie-69k, Aratako/Synthetic-Japanese-Roleplay-NSFW-Claude-3.5s-10.5k-formatted, BCCard/BCCard-Finance-Kor-QnA, CarrotAI/ko-code-alpaca-QA, ChuGyouk/AI_healthcare_QA_samples_Sonnet3.5, DavidLanz/medical_instruction, Dusker/lawyer-llama, Gryphe/Sonnet3.5-Charcard-Roleplay, HAERAE-HUB/qarv-instruct-ko, HachiML/alpaca_jp_math, Magpie-Align/Magpie-Llama-3.1-Pro-MT-300K-v0.1, Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese, beomi/KoAlpaca-v1.1a, codefuse-ai/Evol-instruction-66k, frankminors123/belle-math-zh, gbharti/wealth-alpaca_lora, iam-ajaymeena/Self-Instruct-Japanese-Elzya-13B, jihye-moon/LawQA-Ko, jondurbin/gutenberg-dpo-v0.1, junyeong-nero/kin_med_100K_edited, kyujinpy/KOR-OpenOrca-Platypus-v3, lavita/medical-qa-datasets, microsoft/orca-math-word-problems-200k, neural-bridge/rag-dataset-12000, p1atdev/ichikara-instruction, qiaojin/PubMedQA, shibing624/roleplay-zh-sharegpt-gpt4-data, team-hatakeyama-phase2/AutoMultiTurnByCalm3-22B-Corrected-reformatted, ymoslem/Law-StackExchange, zzunyang/LawQA_LawSee
language: en, ko, ja, zh
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
Likes: 0 | All-time downloads: 5283
Created: 2024-09-19 19:43:44