Rednote/Dense

Rdots.llm1.inst 142.8B

Name: dots.llm1.inst 142.8B
Author: Rednote

chat

142.8B

Parameters

32K

Context length

Benchmarks

Quantizations

HF downloads

Architecture

Dense

Released

2025-05-14

Layers

KV Heads

Head Dim

128

Family

other

Quantization Options

Quant	Bits	VRAM	Quality
IQ2_XXS	2.38	43.0 GB	low
IQ2_M	2.93	52.8 GB	low
Q2_K	3.16	56.9 GB	low
IQ3_XXS	3.25	58.5 GB	low
IQ3_XS	3.5	63.0 GB	low
Q3_K_S	3.64	65.5 GB	low
IQ3_M	3.76	67.6 GB	low
Q3_K_M	4	71.9 GB	low
Q3_K_L	4.3	77.2 GB	moderate
IQ4_XS	4.46	80.1 GB	moderate
Q4_K_S	4.67	83.8 GB	moderate
Q4_K_M	4.89	87.8 GB	good
Q5_K_S	5.57	99.9 GB	good
Q5_K_M	5.7	102.2 GB	good
Q6_K	6.56	117.6 GB	excellent
Q8_0	8.5	152.2 GB	lossless
FP16	16	286.1 GB	lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

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Run this model

▸Easiest way to get started·Beginners

DOCS ↗

curl -fsSL https://ollama.com/install.sh | sh

$ollama run other:142b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more

Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

HuggingFace Ollama Library GGUF Downloads Build Hardware