What are the hardware requirements for Tinyllama 1.3B Cinder Reason Test?

Tinyllama 1.3B Cinder Reason Test requires approximately 1.4 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tinyllama 1.3B Cinder Reason Test and how large is it?

Tinyllama 1.3B Cinder Reason Test is developed by Josephgflowers, a model with 1.3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Tinyllama 1.3B Cinder Reason Test perform on standard benchmarks?

Tinyllama 1.3B Cinder Reason Test has the following published scores: MMLU 26.61. Compare against reference models on this page or on the LLM Explorer leaderboards.

Tinyllama 1.3B Cinder Reason Test by Josephgflowers — VRAM 1.4GB, 4K context

Name: Tinyllama 1.3B Cinder Reason Test
Author: Josephgflowers

Tinyllama 1.3B Cinder Reason Test is an open-source language model by Josephgflowers. Features: 1.3b LLM, VRAM: 1.4GB, Context: 4K, License: mit, Quantized, LLM Explorer Score: 0.15, Arc: 32.5, HellaSwag: 55.9, MMLU: 26.6, GSM8K: 2.4.

Endpoints compatible Gguf Llama Model-index Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test

Tinyllama 1.3B Cinder Reason Test Parameters and Internals

Model Type

text-generation

Additional Notes

1.3B test of two Cinder models merged layers

Training Details

Methodology:

layers 1-22 and 18-22, trained on math and step by step reasoning

LLM Name	Tinyllama 1.3B Cinder Reason Test
Repository 🤗	https://huggingface.co/Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test
Model Size	1.3b
Required VRAM	1.4 GB
Updated	2026-07-16
Maintainer	Josephgflowers
Model Type	llama
Model Files	1.4 GB 2.5 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.38.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Tinyllama 1.3B Cinder Reason Test 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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Hope Second	128K / 1 GB	10	0
Hope Third	128K / 1 GB	9	0
Hope Forth	128K / 1 GB	7	0
Second Edition	128K / 1 GB	8	0
Fifth Edition	128K / 1 GB	7	0
Fourth Edition	128K / 1 GB	6	0
Third Edition	128K / 1 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test.