What are the hardware requirements for PULI LlumiX 32K Instruct Q4 K M GGUF?

PULI LlumiX 32K Instruct Q4 K M GGUF requires approximately 4.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PULI LlumiX 32K Instruct Q4 K M GGUF and how large is it?

PULI LlumiX 32K Instruct Q4 K M GGUF is developed by fragata, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate PULI LlumiX 32K Instruct Q4 K M GGUF?

PULI LlumiX 32K Instruct Q4 K M GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

PULI LlumiX 32K Instruct Q4 K M GGUF by fragata — VRAM 4.1GB, 32K context

Name: PULI LlumiX 32K Instruct Q4 K M GGUF
Author: fragata

PULI LlumiX 32K Instruct Q4 K M GGUF is an open-source language model by fragata. Features: 7b LLM, VRAM: 4.1GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

Custom code Endpoints compatible Ggml Gguf Instruct Llama Q4 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/fragata/PULI-LlumiX-32K-Instruct-Q4_K_M-GGUF

PULI LlumiX 32K Instruct Q4 K M GGUF Parameters and Internals

LLM Name	PULI LlumiX 32K Instruct Q4 K M GGUF
Repository 🤗	https://huggingface.co/fragata/PULI-LlumiX-32K-Instruct-Q4_K_M-GGUF
Model Size	7b
Required VRAM	4.1 GB
Updated	2026-07-04
Maintainer	fragata
Model Type	llama
Instruction-Based	Yes
Model Files	4.1 GB
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	gguf\|ggml\|q4\|q4_k
Model Architecture	LlamaForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the PULI LlumiX 32K Instruct Q4 K M GGUF 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 PULI LlumiX 32K Instruct Q4 K M GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Lucie 7B Instruct	31K / 13.4 GB	4115	20
Lucie 7B Instruct Human Data	31K / 13.4 GB	371	7
Lucie 7B Instruct Gguf	31K / 4.1 GB	1568	4
Sqlcoder 7B 2	16K / 13.5 GB	26624	436
...pseek Coder 6.7B Instruct GGUF	16K / 2.5 GB	2370	8
Sql Code Gguf	16K / 4.8 GB	37	0
... 7B Instruct Preview Reasoning	4K / 14 GB	104	3
Bailong Orpo 7B	4K / 14 GB	28	5
Latxa 7B Instruct	4K / 13.5 GB	8	0
...p 0.05 Max Grad1.0 Grad Accu32	32K / 14.4 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than fragata/PULI-LlumiX-32K-Instruct-Q4_K_M-GGUF.