What are the hardware requirements for Pallete 2.6B RP Reasoning 2609 V1a?

Pallete 2.6B RP Reasoning 2609 V1a requires approximately 5.4 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 Pallete 2.6B RP Reasoning 2609 V1a and how large is it?

Pallete 2.6B RP Reasoning 2609 V1a is developed by Indexnusrefather, a model with 2.6b 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 Pallete 2.6B RP Reasoning 2609 V1a?

Pallete 2.6B RP Reasoning 2609 V1a is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pallete 2.6B RP Reasoning 2609 V1a by Indexnusrefather — VRAM 5.4GB, 128K context

Name: Pallete 2.6B RP Reasoning 2609 V1a
Author: Indexnusrefather

Pallete 2.6B RP Reasoning 2609 V1a is an open-source language model by Indexnusrefather. Features: 2.6b LLM, VRAM: 5.4GB, Context: 128K, License: other, Quantized, LLM Explorer Score: 0.32.

Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-2.6... Conversational Cot Creative Creative writing Edge En Endpoints compatible Experimental Gguf Lfm2 Quantized Reasoning Region:us Roleplay Rp Safetensors Sharded Tensorflow Thinking

Model Card on HF 🤗: https://huggingface.co/Indexnusrefather/Pallete-2.6B-RP-Reasoning-2609-v1a

Pallete 2.6B RP Reasoning 2609 V1a Parameters and Internals

LLM Name	Pallete 2.6B RP Reasoning 2609 V1a
Repository 🤗	https://huggingface.co/Indexnusrefather/Pallete-2.6B-RP-Reasoning-2609-v1a
Base Model(s)	LiquidAI/LFM2.5-2.6B LiquidAI/LFM2.5-2.6B
Model Size	2.6b
Required VRAM	5.4 GB
Updated	2026-09-26
Maintainer	Indexnusrefather
Model Type	lfm2
Model Files	5.4 GB 1.7 GB 1.9 GB 2.2 GB 2.9 GB 5.0 GB: 1-of-2 0.4 GB: 2-of-2
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000
Torch Data Type	bfloat16

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
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Code Generation
Multi-Language Support and Translation

Best Alternatives to Pallete 2.6B RP Reasoning 2609 V1a

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 2.6B OptiQ 4bit	128K / 2 GB	337	2
LFM2.5 2.6B MLX 8bit	128K / 2.9 GB	60	1
LFM2.5 2.6B MLX 6bit	128K / 2.2 GB	52	1
LFM2.5 2.6B MLX 5bit	128K / 1.9 GB	49	1
LFM2.5 2.6B MLX 4bit	128K / 1.6 GB	42	1
...ABLITERATED PHILADELPHIA CLASS	125K / 5.4 GB	2203	5
LFM2.5 2.6B 4bit	125K / 1.5 GB	1509	3
LFM2.5 2.6B 8bit	125K / 2.9 GB	854	3
LFM2.5 2.6B 6bit	125K / 2.2 GB	86	1
LFM2 2.6B Exp 4bit	125K / 1.4 GB	180	1