Hugging Face model: amusktweewt/tiny-model-500M-chat-v2-5-exp
Author: amusktweewt
Created: 2025-03-13 17:15:54
Last modified: 2025-04-15 14:39:13
Pipeline: text-generation
Library: transformers
Likes: 0 | Downloads: 5
Tags: transformers, safetensors, llama, text-generation, conversational, en, dataset:SciPhi/textbooks-are-all-you-need-lite, dataset:nampdn-ai/tiny-textbooks, dataset:nampdn-ai/tiny-strange-textbooks, dataset:nampdn-ai/tiny-codes, dataset:nampdn-ai/tiny-math-textbooks, dataset:nampdn-ai/tiny-webtext, dataset:nampdn-ai/tiny-orca-textbooks, dataset:nampdn-ai/tiny-lessons, dataset:roneneldan/TinyStories, dataset:ajibawa-2023/Children-Stories-Collection, dataset:ajibawa-2023/General-Stories-Collection, dataset:kerinin/hackernews-stories, dataset:lucadiliello/wikipedia_512_pretraining, dataset:Salesforce/wikitext, dataset:ChristophSchuhmann/basic-math-problems-with-step-by-step-solutions, dataset:iamtarun/python_code_instructions_18k_alpaca, dataset:prithivMLmods/Step-Instruction-Gx, dataset:LinhDuong/chatdoctor-200k, dataset:MBZUAI/LaMini-instruction, dataset:qwedsacf/grade-school-math-instructions, dataset:TigerResearch/tigerbot-stackexchange-qa-en-0.5m, license:mit, text-generation-inference, endpoints_compatible, region:us
Card metadata:
library_name: transformers
license: mit
datasets: SciPhi/textbooks-are-all-you-need-lite, nampdn-ai/tiny-textbooks, nampdn-ai/tiny-strange-textbooks, nampdn-ai/tiny-codes, nampdn-ai/tiny-math-textbooks, nampdn-ai/tiny-webtext, nampdn-ai/tiny-orca-textbooks, nampdn-ai/tiny-lessons, roneneldan/TinyStories, ajibawa-2023/Children-Stories-Collection, ajibawa-2023/General-Stories-Collection, kerinin/hackernews-stories, lucadiliello/wikipedia_512_pretraining, Salesforce/wikitext, ChristophSchuhmann/basic-math-problems-with-step-by-step-solutions, iamtarun/python_code_instructions_18k_alpaca, prithivMLmods/Step-Instruction-Gx, LinhDuong/chatdoctor-200k, MBZUAI/LaMini-instruction, qwedsacf/grade-school-math-instructions, TigerResearch/tigerbot-stackexchange-qa-en-0.5m
language: en