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internlm/Intern-Decision-2B: what it needs to run

internlm/Intern-Decision-2B is a fine-tune of Qwen/Qwen3.5-2B. Its configuration matches Qwen3.5-2B's on every field that decides memory, so Qwen3.5-2B's requirements are this repository's.

Answered by

Geometrypublished data. Both configurations are published files, read at the revisions named below and compared field by field. Not a test that the model loads.

Qwen3.5-2B (Qwen/Qwen3.5-2B) — every compared field is stated by both and equal.

Before you use those figures

  • Its safetensors index counts 2,213,241,664 parameters against the base's 2,274,069,824 (2.7% apart). The compared geometry is the same, so the difference is in weights this comparison does not cover, and the base's file sizes are off by about that share for this repository.

Qwen3.5-2B: weight-file size by format

FormatSizeRangeBasis
FP164.55 GB3.18 GB – 4.59 GBsize range
Q8_02.42 GB1.69 GB – 3.40 GBsize range
Q6_K1.87 GB1.31 GB – 3.10 GBsize range
Q5_K_M1.62 GB1.09 GB – 3.10 GBsize range
Q5_01.59 GB1.09 GB – 3.10 GBsize range
Q4_K_M1.40 GB0.90 GB – 3.10 GBsize range
Q4_01.32 GB0.90 GB – 3.10 GBsize range
Q3_K_M1.14 GB0.68 GB – 3.10 GBsize range
Q2_K0.90 GB0.52 GB – 3.10 GBsize range

These are Qwen3.5-2B’s sizes. A model with the same geometry quantizes to the same size, to within any difference in parameter count noted above. Which devices hold each, and how fast they run it, is on Qwen3.5-2B’s page.

What was read, and where

  1. internlm/Intern-Decision-2B at revision 8797836c65fc is tagged by its publisher as a fine-tune of Qwen/Qwen3.5-2B.
  2. internlm/Intern-Decision-2B/config.json at 8797836c65fc was compared with Qwen/Qwen3.5-2B/config.json at 15852e8c1636, the revision the catalogue pins: layers and their pattern, widths, head counts, experts, latent and recurrent dimensions, vocabulary, tied embeddings and any vision or audio tower.
Licence, as tagged
apache-2.0
Parameters in its safetensors index
2.2B
Task, as tagged
image-text-to-text
Last changed on Hugging Face
2026-09-26

Publishing this model? A badge for its card

The memory badge for this repository

[![Memory to run this model, from llmbottleneck.com](https://llmbottleneck.com/badge/internlm/Intern-Decision-2B)](https://llmbottleneck.com/hf/internlm/Intern-Decision-2B)

It states the memory to run the model at Q4_K_M with 8,192 tokens of context — built on this repository’s own Q4_K_M file when it publishes one — and links back to this page, where the evidence is.

Resolve another repository

The same answer as JSON: GET /v1/resolve?repo=internlm/Intern-Decision-2B, with a free key from /keys.

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catalogue 2026-10-03models 327devices 135