What are the hardware requirements for Tinyllama 1.3B Cinder Reason Test 2?

Tinyllama 1.3B Cinder Reason Test 2 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 2 and how large is it?

Tinyllama 1.3B Cinder Reason Test 2 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 2 perform on standard benchmarks?

Tinyllama 1.3B Cinder Reason Test 2 has the following published scores: MMLU 25.42. Compare against reference models on this page or on the LLM Explorer leaderboards.

Tinyllama 1.3B Cinder Reason Test 2 by Josephgflowers — VRAM 1.4GB, 4K context

Name: Tinyllama 1.3B Cinder Reason Test 2
Author: Josephgflowers

Tinyllama 1.3B Cinder Reason Test 2 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: 32.8, HellaSwag: 57.9, MMLU: 25.4, GSM8K: 2.8.

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

Model Card on HF 🤗: https://huggingface.co/Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2

Tinyllama 1.3B Cinder Reason Test 2 Parameters and Internals

Model Type

text-generation

Additional Notes

1.3B test of two Cinder models merged layers 1-22 and 18-22, trained on math and step by step reasoning.

LLM Name	Tinyllama 1.3B Cinder Reason Test 2
Repository 🤗	https://huggingface.co/Josephgflowers/Tinyllama-1.3B-Cinder-Reason-Test-2
Model Size	1.3b
Required VRAM	1.4 GB
Updated	2026-07-12
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 2 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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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-2.