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M2 2B

huggingface.coInfrastructure

PulseGate's liveness check found it on 7 Oct 2026; it has been in the index since 7 Oct 2026. How this is checked

M2-2B is a 1.93-billion-parameter byte-level language model checkpoint published on Hugging Face. It provides Safetensors and PyTorch weights for local research, evaluation, and text-generation experiments.

Inferred · not functionally tested

Open SourceWebCloud-managedAPI
M2 2B preview
Visit huggingface.co

Overview

6 features

Purpose: Providing an openly available language model checkpoint for researchers to run and evaluate.

Inferred · not functionally tested

Audience: AI researchers and machine learning developers

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: unknown · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: Open Source · platforms: WEB · deployment: browser, cloud_managed, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: huggingface.co. These links do not verify the individual claims.

M2 2B is a Quantised & converted weights project. Inferred · not functionally tested: It focuses on providing an openly available language model checkpoint for researchers to run and evaluate. Inferred · not functionally tested: It is built as an open-source project for AI researchers and machine learning developers. Basis unknown · not verified: M2 2B is open source under the Open Source license. Basis unknown · not verified: M2 2B is available on the web and API.

三体暗源科技有限公司 builds and maintains M2 2B. Inferred · not functionally tested: Key capabilities include text generation, safetensors weights, and pyTorch checkpoint.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Text generation
  • Safetensors weights
  • PyTorch checkpoint
  • Byte-level tokenizer
  • Model card
  • Model files

Topics: Inferred · not functionally tested

Tags
language-modeltext-generationbyte-level-tokenizeropen-weights
AI capabilities
Text
Inference: LocalWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Hosting
AWS
Runs on
BrowserCloud-managedAPI-only
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header

Trust & compliance

License
Open Source
Public signals
HTTPSPrivacy PolicyTerms of ServiceOpen SourceFree tier
Legal
Privacy Policy Terms of Service

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed7 Oct · 10:44 UTC
    Training a 1.93B byte-level LM on one A100: 60K steps, flat to 4x context seen via Hacker News firehose (Algolia)
    Source: Hacker News firehose (Algolia) · Open

Frequently asked questions about M2 2B

What is M2 2B?
Inferred · not functionally tested: M2 2B focuses on providing an openly available language model checkpoint for researchers to run and evaluate. It is catalogued under Quantised & converted weights on PulseGate.
Who should use M2 2B?
Inferred · not functionally tested: M2 2B is an open-source project built for AI researchers and machine learning developers.
Does M2 2B have a free plan?
Basis unknown · not verified: Yes — M2 2B is open source under the Open Source license and free to use.
What platforms does M2 2B run on?
Basis unknown · not verified: M2 2B runs on the web and API.
Is M2 2B still active?
PulseGate's liveness check found it on 7 Oct 2026.
What are alternatives to M2 2B?
Similar projects tracked by PulseGate include M2m100 1.2B, SmolLM2 1.7B, and LFM2 1.2B.M2m100 1.2BSmolLM2 1.7BLFM2 1.2B
Who makes M2 2B?
M2 2B is developed by 三体暗源科技有限公司.
Is M2 2B open source?
Basis unknown · not verified: Yes — M2 2B is open source under the Open Source license.

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