What are the hardware requirements for Phigments12?

Phigments12 requires approximately 5.6 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 Phigments12 and how large is it?

Phigments12 is developed by liminerity, a model with 2.8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Phigments12 perform on standard benchmarks?

Phigments12 has the following published scores: MMLU 58.43. Compare against reference models on this page or on the LLM Explorer leaderboards.

Phigments12 by liminerity — VRAM 5.6GB, 2K context

Name: Phigments12
Author: liminerity

Phigments12 is an open-source language model by liminerity. Features: 2.8b LLM, VRAM: 5.6GB, Context: 2K, License: apache-2.0, Merged, LLM Explorer Score: 0.14, Arc: 62.6, HellaSwag: 77.1, MMLU: 58.4, GSM8K: 61.3.

Merged Model Endpoints compatible Phi Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/liminerity/Phigments12

Phigments12 Benchmarks

ARC: 62.63 vs 96.7 (so35)^-35.2%

HellaSwag: 77.1 vs 95.3 (gpt4)^-19.1%

MMLU: 58.43 vs 88.3 (so35)^-33.8%

GSM8K: 61.33 vs 96.4 (so35)^-36.4%

LLME Score: 0.13815

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Phigments12 Parameters and Internals

Model Type

Merge

LLM Name	Phigments12
Repository 🤗	https://huggingface.co/liminerity/Phigments12
Merged Model	Yes
Model Size	2.8b
Required VRAM	5.6 GB
Updated	2026-05-03
Maintainer	liminerity
Model Type	phi
Model Files	2.0 GB: 1-of-3 2.0 GB: 2-of-3 1.6 GB: 3-of-3
Model Architecture	PhiForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.2
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200
Torch Data Type	bfloat16

Best Alternatives to Phigments12

Best Alternatives	Context / RAM	Downloads
MFANN3bv0.24	128K / 11.1 GB	5
MFANN3b	128K / 11.1 GB	168
MFANN3bv1.4	128K / 11.1 GB	5
MFANN Phigments Slerp V3.2	128K / 5.6 GB	7
MFANN3bv1.3	128K / 11.1 GB	9
MFANN3bv0.23	128K / 11.1 GB	5
MFANN3bv1.1	128K / 11.1 GB	5
MFANN3bv1.5	128K / 11.1 GB	5
MFANN Liminerity Slerp 4a	128K / 5.6 GB	7
MFANN3b Rebase	128K / 11.1 GB	7

Note: green Score (e.g. "73.2") means that the model is better than liminerity/Phigments12.

Rank the Phigments12 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Phigments12 by liminerity

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Phigments12 Benchmarks

Phigments12 Parameters and Internals

Best Alternatives to Phigments12

Rank the Phigments12 Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.