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KwaiCoder-AutoThink-preview

Kwaipilothuggingface.co/Kwaipilot/KwaiCoder-AutoThink-pre

Open in Graph
data quality50

Updated 3 h ago · first seen 12 Sept 2026

model_01M2AS5J1TDCK4D7VD8BWN4J4E

Overview

Identity

Canonical model
Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
None recorded
API aliases
NoneIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Open weightsweights downloadable under Other; 7 dimensions unknown.

Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.

  • Weights

    Yes

  • Inference code

  • Training code

  • Training data

  • Dataset

  • Commercial use

  • Redistribution

  • Derivatives

Licence: Other (unclassified licence) (unknown)

dimensions marked null are unknown, not false

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium

Architecture

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium

Capabilities

Modalities

Modalities unavailable.

Capabilities

  • Tool calling

    Unavailable

  • Structured output

    Unavailable

  • Reasoning

    Unavailable

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

No capability flags have been observed from a source yet — we do not infer them.

Languages

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium

Hardware fit37

Estimated

32 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit23.8 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit23.8 GB est.Yes
Apple M2 Ultra4bit23.8 GB est.Yes
Apple M1 Ultra4bit23.8 GB est.Yes
Apple M3 Max4bit23.8 GB est.Yes
Apple M4 Max4bit23.8 GB est.Yes
Mac Studio (Apple M5 Max)4bit23.8 GB est.Yes
MacBook Pro (Apple M5 Max)4bit23.8 GB est.Yes
Apple M2 Max4bit23.8 GB est.Yes
Apple M1 Max4bit23.8 GB est.Yes
Apple M4 Pro4bit23.8 GB est.Yes
Mac mini (Apple M5 Pro)4bit23.8 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit23.8 GB est.Yes
Apple M3 Pro4bit23.8 GB est.Yes
Apple M1 Pro4bit23.8 GB est.Yes
Apple M2 Pro4bit23.8 GB est.Yes
Apple M44bit23.8 GB est.Yes
iMac (Apple M4)4bit23.8 GB est.Yes
Mac mini (Apple M6)4bit23.8 GB est.Yes
MacBook Air (Apple M5)4bit23.8 GB est.Yes
MacBook Pro (Apple M5)4bit23.8 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB23.8 GB est.Yes
NVIDIA A100 80GB4bit80 GB23.8 GB est.Yes
NVIDIA H100 SXM4bit80 GB23.8 GB est.Yes
NVIDIA H100 NVL4bit94 GB23.8 GB est.Yes
NVIDIA DGX Spark4bit128 GB23.8 GB est.Yes
NVIDIA H2004bit141 GB23.8 GB est.Yes
NVIDIA H200 NVL4bit141 GB23.8 GB est.Yes
NVIDIA B2004bit180 GB23.8 GB est.Yes
AMD Instinct MI300X4bit192 GB23.8 GB est.Yes
AMD Instinct MI325X4bit256 GB23.8 GB est.Yes
NVIDIA DGX B2004bit1,440 GB23.8 GB est.Yes
Apple M24bit23.8 GB est.No
Apple M34bit23.8 GB est.No
Apple M14bit23.8 GB est.No
NVIDIA GeForce RTX 30904bit24 GB23.8 GB est.No
NVIDIA GeForce RTX 40904bit24 GB23.8 GB est.No
Assumptions (7)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead (or the observed artifact file size when one is recorded).
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache: 2 × layers × kv_heads × head_dim × 2 bytes × context × batch when the architecture is known; otherwise 0.5 GB per 8 192 tokens (× batch), independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
  • Multi-GPU: device memories are summed; interconnect bandwidth, tensor-parallel replication and pipeline bubbles are not modelled.

Versions & Artifacts0

Version history

Licensefirst observation only

12 Sept 2026current

Opennessfirst observation only

12 Sept 2026current

Parametersfirst observation only

12 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Change history21

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.
21 claims · 21 properties

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
2 Jun 2025currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Opennessopenness1

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weightscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

Claim history for License
ValueValid from → toStatusSourceConfidenceExtractor
OthercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

Claim history for Parameters
ValueValid from → toStatusSourceConfidenceExtractor
40.6BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Languageslanguages1

Claim history for Languages
ValueValid from → toStatusSourceConfidenceExtractor
multilingualcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

Claim history for File size
ValueValid from → toStatusSourceConfidenceExtractor
81.1 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

Claim history for Hugging Face repo
ValueValid from → toStatusSourceConfidenceExtractor
Kwaipilot/KwaiCoder-AutoThink-previewcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

Claim history for Model card
ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/Kwaipilot/KwaiCoder-AutoThink-previewcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

Claim history for Downloads
ValueValid from → toStatusSourceConfidenceExtractor
192currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

Claim history for Likes
ValueValid from → toStatusSourceConfidenceExtractor
50currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Accessaccess1

Claim history for Access
ValueValid from → toStatusSourceConfidenceExtractor
opencurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

Claim history for Last modified
ValueValid from → toStatusSourceConfidenceExtractor
2025-06-10T02:18:46+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

Claim history for Library name
ValueValid from → toStatusSourceConfidenceExtractor
transformerscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License keylicense_key1

Claim history for License key
ValueValid from → toStatusSourceConfidenceExtractor
OthercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License namelicense_name1

Claim history for License name
ValueValid from → toStatusSourceConfidenceExtractor
kwaipilot-licensecurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License rawlicense_raw1

Claim history for License raw
ValueValid from → toStatusSourceConfidenceExtractor
othercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License urllicense_url1

Claim history for License url
ValueValid from → toStatusSourceConfidenceExtractor
LICENSEcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

Claim history for Downloads all time
ValueValid from → toStatusSourceConfidenceExtractor
233currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tagstags1

Claim history for Tags
ValueValid from → toStatusSourceConfidenceExtractor
multilingual, safetensors, transformerscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights availableweights_available1

Claim history for Weights available
ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

Claim history for Weights dtype
ValueValid from → toStatusSourceConfidenceExtractor
BF16currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

21

Source tiers

T221

Freshest observation

4 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/Kwaipilot/KwaiCoder-AutoThink-preview/raw/main/README.md model_cardT2· Quality secondary3 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/Kwaipilot/KwaiCoder-AutoThink-preview model_pageT2· Quality secondary4 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=Kwaipilot&p=0&sort=downloads listingT2· Quality secondary4 h ago2

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (50/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →