What are the hardware requirements for Cypher Mini 1.8B?

Cypher Mini 1.8B requires approximately 3.7 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cypher Mini 1.8B and how large is it?

Cypher Mini 1.8B is developed by aloobun, a model with 1.8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Cypher Mini 1.8B perform on standard benchmarks?

Cypher Mini 1.8B has the following published scores: MMLU 31.14. Compare against reference models on this page or on the LLM Explorer leaderboards.

Cypher Mini 1.8B by aloobun — VRAM 3.7GB, 16K context

Name: Cypher Mini 1.8B
Author: aloobun

Cypher Mini 1.8B is an open-source language model by aloobun. Features: 1.8b LLM, VRAM: 3.7GB, Context: 16K, License: apache-2.0, LLM Explorer Score: 0.14, Arc: 39.6, HellaSwag: 67.5, MMLU: 31.1, GSM8K: 14.5.

Conversational Custom code Dataset:locutusque/hercules-v3... Endpoints compatible Finetuned Gpt4 H2oai Mistral Region:us Safetensors Sharded Synthetic data Tensorflow

Model Card on HF 🤗: https://huggingface.co/aloobun/Cypher-Mini-1.8B

Cypher Mini 1.8B Parameters and Internals

Model Type

text generation

Additional Notes

This is an experimental model finetuned on a combination of Hercules v3 dataset and a private dataset.

Training Details

Data Sources:

Locutusque/Hercules-v3.0, Private dataset

Methodology:

Mixture of experts approach

Input Output

Input Format:

<|system|>~~<|prompt|>~~<|answer|>

Accepted Modalities:

text

Performance Tips:

Hyperparameters include adamw optimizer with eps of 1e-8, cosine decay with 20% warmup, and learning rate of 2e-5.

LLM Name	Cypher Mini 1.8B
Repository 🤗	https://huggingface.co/aloobun/Cypher-Mini-1.8B
Model Size	1.8b
Required VRAM	3.7 GB
Updated	2026-07-11
Maintainer	aloobun
Model Type	mistral
Model Files	3.0 GB: 1-of-2 0.7 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.37.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Cypher Mini 1.8B 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

Best Alternatives to Cypher Mini 1.8B

Best Alternatives	Context / RAM	Downloads	Likes
H2o Danube 1.8B Chat	16K / 3.7 GB	267	55
H2o Danube 1.8B Base	16K / 3.7 GB	132	43
H2o Danube 1.8B Sft	16K / 3.7 GB	91	11
PixieZehirNano	16K / 3.7 GB	10	0
Cypher CoT 1.8B	16K / 3.7 GB	5	1
...1.8B Chat Sft Merge Fourier V1	16K / 7.3 GB	3	1
H2o Danube2 1.8B Base	8K / 3.7 GB	346	47
H2o Danube2 1.8B Chat	8K / 3.7 GB	222	62
H2o Danube2 1.8B Sft	8K / 3.7 GB	109	6
Binary Clumsy Bear	8K / 7.3 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than aloobun/Cypher-Mini-1.8B.