What are the hardware requirements for TinyLlama Cinder Tiny Agent?

TinyLlama Cinder Tiny Agent requires approximately 4.4 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TinyLlama Cinder Tiny Agent and how large is it?

TinyLlama Cinder Tiny Agent is developed by Josephgflowers, a model with 1.1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does TinyLlama Cinder Tiny Agent perform on standard benchmarks?

TinyLlama Cinder Tiny Agent has the following published scores: MMLU 25.81. Compare against reference models on this page or on the LLM Explorer leaderboards.

TinyLlama Cinder Tiny Agent by Josephgflowers — VRAM 4.4GB, 2K context

Name: TinyLlama Cinder Tiny Agent
Author: Josephgflowers

TinyLlama Cinder Tiny Agent is an open-source language model by Josephgflowers. Features: 1.1b LLM, VRAM: 4.4GB, Context: 2K, License: mit, LLM Explorer Score: 0.16, Arc: 33.5, HellaSwag: 53.6, MMLU: 25.8, GSM8K: 17.7.

Autotrain compatible Base model:finetune:josephgflo... Base model:josephgflowers/tiny... Conversational Endpoints compatible Generated from trainer Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Josephgflowers/TinyLlama-Cinder-Tiny-Agent

TinyLlama Cinder Tiny Agent Parameters and Internals

Additional Notes

Training hyperparameters include a learning_rate of 5e-05, train_batch_size of 12, eval_batch_size of 32, seed of 42, using the Adam optimizer with betas=(0.9,0.999) and epsilon=1e-08, lr_scheduler_type of linear, num_epochs 1.0, and mixed_precision_training: Native AMP.

LLM Name	TinyLlama Cinder Tiny Agent
Repository 🤗	https://huggingface.co/Josephgflowers/TinyLlama-Cinder-Tiny-Agent
Base Model(s)	TinyLlama Cinder Math Train Josephgflowers/TinyLlama-Cinder-Math-Train
Model Size	1.1b
Required VRAM	4.4 GB
Updated	2025-09-23
Maintainer	Josephgflowers
Model Type	llama
Model Files	4.4 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float32

Rank the TinyLlama Cinder Tiny Agent capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/TinyLlama-Cinder-Tiny-Agent.