alt.freeweights.minicpm / MiniCPM-V-4.7-1B-8bit

From:

mlx-community <huggingface.co/mlx-community>Newsgroups: alt.freeweights.minicpmSubject:

MiniCPM-V-4.7-1B-8bit

Date: 2026-11-15Commit: 90b81ccSigned: 2DC28CC7B26A283B ✓

Image text to text model with 1.6B parameters. Safetensors weights, 2.84 GB in all. Published by mlx-community under Apache-2.0.

1.6B params

2.84GBMiniCPM-V-4.7-1B-8bitsafetensorspermissive

FactsParams1.6BSize2.84 GBFormatssafetensorsTaskimage text to textLicenseApache-2.0From sourcepermissive

$ fw get mlx-community/MiniCPM-V-4.7-1B-8bit
# manifest sha256 c58ee700eb70… · 2.84 GB · 13 files
$ fw verify ./MiniCPM-V-4.7-1B-8bit mlx-community/MiniCPM-V-4.7-1B-8bit

From sourceHosted (signed)mlx-community/MiniCPM-V-4.7-1B-8bitLast check: 2026-11-15 05:13 UTC

Run at home Get help

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Quantized of MiniCPM-V-4.7-1B.

Works with

Run23 Fine-tune29 Convert15 Evaluate13 Scan13 Apps62

Runs with

Ranked by fit to this model (safetensors), then by GitHub stars.

vLLM exo Text Generation WebUI

SGLang MLC LLM KTransformers LMCache Xinference LMDeploy mistral.rs Mooncake FlashInfer

Show all 23

AIBrix fastllm ExLlamaV3

Transformers LocalAI tinygrad Triton Inference Server BentoML CTranslate2 ExLlamaV2 LitServe

Convert with

mergekit TensorRT Model Optimizer

LLM Compressor Neural Compressor AutoRound AQLM GPTQModel ONNX Core ML Tools ExecuTorch

Show all 15

Evaluate with

Opik DeepEval Ragas lm-evaluation-harness OpenCompass SWE-bench

simple-evals TruLens HELM

LightEval

Evaluate Weave

Show all 13

Autoevals

Scan with

promptfoo garak Guardrails NeMo Guardrails Giskard DeepTeam AI Fairness 360 Fairlearn Detoxify MCP Scanner AgentDojo ModelScan

Show all 13

picklescan

Overview Model card Files Use it License Provenance Model tree

Overview

Size: 2.84 GB
Weights: 2.82 GB (safetensors)
Parameters: 1.6B
Formats: safetensors
Task: image text to text
License: Apache-2.0 (permissive)
Files: 13, each with a sha256
Publisher: mlx-community
Added: 2026-11-15
Section: alt.freeweights.minicpm

Lineage

Original release from the publisher.

Base model: openbmb/MiniCPM-V-4.7-1B

Where these bytes come from

Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources

Badge	Host	Last check	Result
From source	huggingface.co	2026-11-15 05:13 UTC	passed

Model card

From the publisher at commit 90b81cc. Shown as plain text with links; images open at the publisher.

MiniCPM-V-4.7-1B-8bit#

Converted from openbmb/MiniCPM-V-4.7-1B at revision 984a89aafcd5160164f4f0d04b4be0f4eec03cb8 with MLX-VLM main (e928101a144a3f11a27c7ef8d71b6d889b2d250c, version 0.7.8). Support was added in PR #2499.

8BIT weight quantization (affine, group size 64). This is mixed precision: vision modules, visual mergers, embeddings, output heads, and linear attention remain BF16; recurrent A_log tensors retain their source precision. The 35B-A3B expert routers use 8-bit affine quantization.

See the original model card for the architecture, intended uses, and limitations. This conversion retains the source model's apache-2.0 license.

Usage#

Install MLX-VLM from main with MiniCPM-V 4.7 support:

pip install -U git+https://github.com/Blaizzy/mlx-vlm.git@main
mlx_vlm.generate --model mlx-community/MiniCPM-V-4.7-1B-8bit --image path/to/image.jpg --prompt "Describe this image." --max-tokens 200 --temperature 0

The native NumPy/Pillow processor requires neither PyTorch nor remote code. It supports text, images, multiple images, and video. The default visual downsampling is 16x; pass --processor-kwargs '{"downsample_mode": "4x"}' for finer detail.

Reproduce conversion#

mlx_vlm.convert --hf-path openbmb/MiniCPM-V-4.7-1B --revision 984a89aafcd5160164f4f0d04b4be0f4eec03cb8 --mlx-path MiniCPM-V-4.7-1B-8bit --dtype bfloat16 -q --q-bits 8 --q-group-size 64 --q-mode affine

For the exact converter version, install MLX-VLM at commit e928101a144a3f11a27c7ef8d71b6d889b2d250c. Conversion options, per-module quantization overrides, and weight SHA-256 hashes are recorded in conversion.json.

Validation#

The saved checkpoint passed strict reloading, quantization configuration checks, greedy text generation, and cat-image generation in both 16x and 4x downsampling modes on an Apple M3 Ultra with MLX 0.32.3. See validation.json for the outputs and environment. These are smoke checks, not a quality benchmark. Floating-point 4-bit formats can differ in output quality from affine quantization.

Files

13 files · 2.84 GBWeights 2.82 GB (safetensors). Sizes and sha256 from the signed manifest.

Hide all 13 files with their sha256

File	Size	sha256
.gitattributes	1.57 KB	34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md	2.55 KB	6f918bc9222384bb0110f15a5f877d7fbe44d6b0422cf40a628ae7ed3abc5fa0
chat_template.jinja	7.25 KB	c4531cacbf2a0ab65170433d7a4f371d11b7599cf96c04b192e6372432636c70
config.json	3.47 KB	95555e59d8ee71f49c2533fc19496fb405aea5d15b0be2e1b9778640274496fd
conversion.json	651 B	13f1601dfc963ed4d11fb8a594edbd96cfea4059a864f0038cd3197d32bcd3fe
generation_config.json	132 B	4dc190baaab3bc4bccb796ee73deb2c3dd776cd4feae3587b29bc22083e03415
model.safetensors	2.82 GB	c02beb17802a90600800b53047cb36d03abf4f4e3bba3ffe1c172077d9cc9f3f
model.safetensors.index.json	81.5 KB	f748ef857e30e1f2cebedfdb75d8b4ca925a12469dc1fd7cd4978ce7e9a8e25d
preprocessor_config.json	148 B	c64289d04f36e48d9d059e3a0069f54062b2ef6044a807adb448b98449cb54de
processor_config.json	764 B	8540e97ca17871b46aca8639b05f26db4eb4ac39d271b705c9cdbc3e32abbe07
tokenizer.json	20.0 MB	83fd10d1ff5d0bf7bd4e0dea788bcee2e9f56a29cb341f9b0ec352e5d8e1ece3
tokenizer_config.json	1.16 KB	be74f538ac586f2daac1ede56d421e915d196fba24171bc8fcd05256e42108bc
validation.json	1.48 KB	79e9993ca835def99b3147c0e613eb42d602310c83406edbabddc0969ba75262

VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.

Upstream commit	Date	Contents
90b81ccaef pinned now	2026-11-15 05:13 UTC	13 files · 2.84 GB

Use it

$ fw get mlx-community/MiniCPM-V-4.7-1B-8bit
# manifest sha256 c58ee700eb70… · 2.84 GB · 13 files
$ fw verify ./MiniCPM-V-4.7-1B-8bit mlx-community/MiniCPM-V-4.7-1B-8bit

fw.pyChecks the signature and every sha256, tries each source in order, resumes.

$ python3 fw.py get https://freeweights.allternit.com/manifests/mlx-community/MiniCPM-V-4.7-1B-8bit.json --dir ./MiniCPM-V-4.7-1B-8bit
$ python3 fw.py verify ./MiniCPM-V-4.7-1B-8bit ./mlx-community__MiniCPM-V-4.7-1B-8bit.json

hfThe Hugging Face CLI with one setting. Same repo id.

$ HF_ENDPOINT=https://freeweights.allternit.com hf download mlx-community/MiniCPM-V-4.7-1B-8bit --revision 90b81ccaefd20ab8d3d2495704f49e33ea919885 --local-dir ./MiniCPM-V-4.7-1B-8bit

transformersLoad the weights in Python.

import os
os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com"
from transformers import AutoModelForImageTextToText, AutoProcessor
processor = AutoProcessor.from_pretrained("mlx-community/MiniCPM-V-4.7-1B-8bit", revision="90b81ccaefd20ab8d3d2495704f49e33ea919885")
model = AutoModelForImageTextToText.from_pretrained("mlx-community/MiniCPM-V-4.7-1B-8bit", revision="90b81ccaefd20ab8d3d2495704f49e33ea919885", device_map="auto")

vLLMServe an OpenAI-compatible API.

$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve mlx-community/MiniCPM-V-4.7-1B-8bit --revision 90b81ccaefd20ab8d3d2495704f49e33ea919885

Run at home

License

Name: Apache License 2.0
Id: Apache-2.0
Class: Permissive
Redistribution: yes
Listing: Hosted (signed)
Decided: License as declared by the publisher. No person read it. 2026-11-15
Text in: README.md
Text sha256: 6f918bc9222384bb0110f15a5f877d7fbe44d6b0422cf40a628ae7ed3abc5fa0
Terms gate: No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From:

mlx-community <huggingface.co/mlx-community>Newsgroups: alt.freeweights.minicpmSubject: MiniCPM-V-4.7-1B-8bitDate: 2026-11-15Commit: 90b81ccSigned: 2DC28CC7B26A283B ✓

Upstream: mlx-community/MiniCPM-V-4.7-1B-8bit
Pinned commit: 90b81ccaefd20ab8d3d2495704f49e33ea919885
Manifest: MiniCPM-V-4.7-1B-8bit.json · .minisig
Manifest sha256: c58ee700eb70499d233942239e41929851b1a05de4ac2319deb000ea4347399b
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 05:13 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/mlx-community/MiniCPM-V-4.7-1B-8bit.json
$ curl -O https://freeweights.allternit.com/manifests/mlx-community/MiniCPM-V-4.7-1B-8bit.json.minisig
$ minisign -Vm MiniCPM-V-4.7-1B-8bit.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq
$ shasum -a 256 <file>   # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

Parent

openbmb/MiniCPM-V-4.7-1B · this model is a quantization of it

No model in the catalog names this one as its parent.

Get it

Download

$ HF_ENDPOINT=https://freeweights.allternit.com hf download mlx-community/MiniCPM-V-4.7-1B-8bit

Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest

minisign, key 2DC28CC7B26A283B. MiniCPM-V-4.7-1B-8bit.json. Provenance. Takedown history: none.

Source

huggingface.co/mlx-community/MiniCPM-V-4.7-1B-8bit

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MiniCPM-V-4.7-1B-8bit

Works with

Runs with

Fine-tune with

Convert with

Evaluate with

Scan with

Works with

Overview

Model card

MiniCPM-V-4.7-1B-8bit#

Usage#

Reproduce conversion#

Validation#

Files

Use it

License

Provenance

How to verify

Model tree

Related models