Get the latest setups
Models/MiniCPM5/MiniCPM5 2B SFT
Text / openbmb

MiniCPM5 2B SFT

MiniCPM5 2B SFT is a dense 2B Transformer text-generation model in the MiniCPM5 series, released by OpenBMB under the apache-2.0 license. According to its official model card, it follows the training recipe of MiniCPM5-1B, supports English and Chinese, and is tagged for long-context, tool-calling, on-device, and edge-AI use. It uses the transformers library and safetensors format, with pipeline tag text-generation. The model card states it targets on-device, local deployment, and resource-constrained scenarios, and describes it as achieving SOTA performance among compared 2B-class open-source models while remaining competitive with 4B-class models in certain evaluated areas. Training data includes Ultra-FineWeb, UltraX-Preview, Ultra-FineWeb-L3, UltraData-Math, UltraData-Code, and several UltraData SFT/RL datasets. No specific context length, parameter count beyond '2B', hardware requirements, or benchmarking details are provided in the source facts.

EstimatedRepository opened Aug 27, 2026Source checked 9/24/2026Version: 3e0690c5
LOCALRENTED GPUOPEN WEIGHTS
Freshness 83 out of 100. Repository age: 49 days old, Aug 27, 2026. Measures age, not quality.
Popularity 49 out of 100. 5,508 downloads in 30 days; 30 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source
Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source
Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method
WORKFLOWS FOR THIS MODEL 1

What do you want to do?

Choose a task. Get the software, files, settings, and steps to run it.

MAKE IT PERSONALChoose your hardware
Coding

Build a local coding assistant with MiniCPM5 2B SFT

Import the exact intermediate MiniCPM5 2B SFT weights into Ollama, connect VS Code/Cline, make a small local code change, and inspect the test result.

Freshness 83 out of 100. Repository age: 49 days old, Aug 27, 2026. Measures age, not quality.
Popularity 49 out of 100. 5,508 downloads in 30 days; 30 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
VS CodeCline
1 packagemacOS / Windows / Linux
Open coding guide

Open a guide for its software, hardware requirements, and setup steps.

At a glance

Parameters
2.52B
Architecture
llama
Context length
131,072
License
apache-2.0
Disk space
4.7 GB
Software
llama.cpp, SGLang, vLLM
View the model source
MY HARDWARE

Will it run on your machine?

Save your machine to see a personalized rating and its reasoning.

Add my hardware

Best for

  • On-device text generation
  • Local deployment in resource-constrained settings
  • Long-context understanding
  • Tool calling and agentic tasks
  • Chinese and English text generation

Tradeoffs

  • Only supports the English and Chinese languages according to the model card
  • No specific context length or token limits are provided in the supplied facts
  • No hardware requirements or compatibility details are supplied
  • No benchmark numbers or comparison details are provided beyond general claims
  • Only compares to models of similar size and 4B-class models as described in the model card; other comparisons are not supported

Ways to run it

llama.cpp · Windows, macOS, Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

llama-server -m MiniCPM5-2B-F16.gguf -a MiniCPM5-2B --port 8080 -ngl 99 -c 8192 --jinja
Official instructions

SGLang · Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

python -m sglang.launch_server --model-path openbmb/MiniCPM5-2B --port 30000
Official instructions

vLLM · Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

vllm serve openbmb/MiniCPM5-2B --port 8000
Official instructions

Explore its uses

SAFETENSORSTEXT-GENERATION

Keep exploring

Text
Prism ML

Bonsai 2 · 27B

A compressed 27B-class reasoning model with publisher-provided GGUF packs and a dedicated llama.cpp fork for CUDA, Metal, and CPU.

Freshness 90 out of 100. Release age: 28 days old, Sep 17, 2026. Measures age, not quality.
Popularity 90 out of 100. 4,849,199 downloads in 30 days; 2,697 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
MODEL SIZE27.36B
LOCALRENTED GPU
Released Sep 17, 2026
Text
DeepSeek

DeepSeek V4.1 Flash

A multimodal reasoning model with a compressed key-value cache, published as open weights.

Freshness 87 out of 100. Repository age: 35 days old, Sep 10, 2026. Measures age, not quality.
Popularity 84 out of 100. 1,238,583 downloads in 30 days; 4,519 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
Arena Open Source Text: rank 5 of 225. Ranked model: deepseek-v4.1-flash-max. Export dated Oct 13, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.+3
LOCALRENTED GPU
Repository opened Sep 10, 2026
Text
Qwen

Qwen3.8

Explore 4 versions of Qwen3.8. Compare model sizes, packages, hardware requirements, and available setups.

4 versionsCompare sizes & formats
LOCALRENTED GPU
Compare versions →