What are the hardware requirements for TinyLlama Cinder Agent V1?

TinyLlama Cinder Agent V1 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 Agent V1 and how large is it?

TinyLlama Cinder Agent V1 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 Agent V1 perform on standard benchmarks?

TinyLlama Cinder Agent V1 has the following published scores: MMLU 26.89. Compare against reference models on this page or on the LLM Explorer leaderboards.

TinyLlama Cinder Agent V1 by Josephgflowers — VRAM 4.4GB, 2K context

Name: TinyLlama Cinder Agent V1
Author: Josephgflowers

TinyLlama Cinder Agent V1 is an open-source language model by Josephgflowers. Features: 1.1b LLM, VRAM: 4.4GB, Context: 2K, License: mit, LLM Explorer Score: 0.18, Arc: 34.9, HellaSwag: 53.9, MMLU: 26.9, GSM8K: 21.2.

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-Agent-v1

TinyLlama Cinder Agent V1 Parameters and Internals

Model Type

RAG, Summary, Function Calling, Tool Usage

Use Cases

Primary Use Cases:

RAG, Summary, Function Calling, Tool Usage

Additional Notes

Image attached as part of the description for a visual aspect.

Training Details

Data Sources:

Orca Math, Meta Math, camel AI math qa, TIGER-Lab/WebInstructSub

Methodology:

Trained off of Cinder, a chatbot designed for STEM topics

LLM Name	TinyLlama Cinder Agent V1
Repository 🤗	https://huggingface.co/Josephgflowers/TinyLlama-Cinder-Agent-v1
Base Model(s)	TinyLlama Cinder Tiny Agent Josephgflowers/TinyLlama-Cinder-Tiny-Agent
Model Size	1.1b
Required VRAM	4.4 GB
Updated	2026-07-04
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 Agent V1 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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