What are the hardware requirements for KernelLLM GGUF?

KernelLLM GGUF requires approximately 2.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed KernelLLM GGUF and how large is it?

KernelLLM GGUF is developed by unsloth. 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 KernelLLM GGUF?

KernelLLM GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

KernelLLM GGUF by unsloth — VRAM 2.2GB, 128K context

Name: KernelLLM GGUF
Author: unsloth

KernelLLM GGUF is an open-source language model by unsloth. Features: LLM, VRAM: 2.2GB, Context: 128K, License: other, Quantized, LLM Explorer Score: 0.19.

Base model:facebook/kernelllm Base model:quantized:facebook/... Conversational Dataset:scalingintelligence/ke... Endpoints compatible Gguf Llama Q2 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/KernelLLM-GGUF

KernelLLM GGUF Parameters and Internals

LLM Name	KernelLLM GGUF
Repository 🤗	https://huggingface.co/unsloth/KernelLLM-GGUF
Base Model(s)	KernelLLM facebook/KernelLLM
Required VRAM	2.2 GB
Updated	2026-05-15
Maintainer	unsloth
Model Type	llama
Model Files	16.1 GB 4.7 GB 4.5 GB 3.2 GB 3.3 GB 4.0 GB 3.7 GB 5.1 GB 4.9 GB 4.7 GB 5.7 GB 5.6 GB 6.6 GB 8.5 GB 2.3 GB 2.2 GB 3.0 GB 2.5 GB 3.3 GB 3.4 GB 4.2 GB 5.0 GB 5.7 GB 7.3 GB 10.6 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Vocabulary Size	128256
Torch Data Type	bfloat16

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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