alt.freeweights.text / Ling-3.1-flash-1019-oQ2e-mtp
From: mlx-community <huggingface.co/mlx-community>Newsgroups: alt.freeweights.textSubject:

Ling-3.1-flash-1019-oQ2e-mtp

Date: 2026-11-15Commit: a7e27baSigned: 2DC28CC7B26A283B ✓

Text generation model with 572.1B parameters. Safetensors weights, 193 GB in all. Published by mlx-community under MIT.

572.1B params193GBLing-3.1-flash-1019-oQ2e-mtpsafetensorspermissive
FactsParams572.1BSize193 GBFormatssafetensorsTasktext generationLicenseMITFrom sourcepermissive
$ fw get mlx-community/Ling-3.1-flash-1019-oQ2e-mtp
# manifest sha256 8ab1d1cba5cb… · 193 GB · 50 files
$ fw verify ./Ling-3.1-flash-1019-oQ2e-mtp mlx-community/Ling-3.1-flash-1019-oQ2e-mtp
From sourceHosted (signed)mlx-community/Ling-3.1-flash-1019-oQ2e-mtpLast check: 2026-11-15 05:15 UTC

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

Quantized of Ling-3.1-flash-1019.

Runs withAIBrixBentoMLCTranslate2ExLlamaV2ExLlamaV3exofastllmFlashInfergpu-unlockKTransformersLitServeLMCacheLMDeployLocalAImistral.rsMLC LLMMooncakeSGLangText Generation WebUItinygradTransformersTriton Inference ServervLLMXinferenceFine-tune withAccelerateAlignment HandbookAxolotlColossal-AIDeepSpeedEasyR1FlashAttentionH2O LLM StudioJAXKerasLiger KernelLitGPTLLaMA-FactoryMegatron-LMms-swiftnanotronOLMo-coreOpenRLHFOumiPEFTPyTorch Lightningsd-scriptsSimpleTunerTorchTitantorchtuneTransformer EngineTRLUnslothverlConvert withAQLMAutoRoundCore ML ToolsExecuTorchGPTQModelLLM CompressormergekitNeural CompressorOliveONNXOptimum QuantoOptimumsafetensorsTensorRT Model OptimizertorchaoEvaluate withAutoevalsDeepEvalEvaluateHELMLightEvallm-evaluation-harnessOpenCompassOpikRagassimple-evalsSWE-benchTruLensWeaveScan withAgentDojoAI Fairness 360DeepTeamDetoxifyFairlearngarakGiskardGuardrailsMCP ScannerModelScanNeMo GuardrailspicklescanpromptfooWorks withAgent Development KitAG2Google AI Edge GalleryAiderany-llmAnythingLLMBAMLbrowser-useCAMELHugging Face Chat UIChatboxCherry StudioClineCodex CLICogneeCrewAIDeerFlowDSPyEnchantedGemini CLIGitHub MCP ServergooseGPT ResearcherGradioGraphitiGuidanceHollamaInstructorKilo CodeLangflowLangGraphLiteLLMLlamaIndexLLMLocalAGILoLLMs WebUIMCP Python SDKMem0MetaGPTNextChatOllama JavaScriptOllama PythonOpenAI Agents SDKopencodeOpenHandsotermOutlinesPage AssistPlaywright MCPPortkey AI GatewayPrivateGPTQwen CodeRWKV RunnerSemantic KernelsmolagentsStrands AgentsVaneXGrammar

Overview

Size
193 GB
Weights
193 GB (safetensors)
Parameters
572.1B
Formats
safetensors
Task
text generation
License
MIT (permissive)
Files
50, each with a sha256
Publisher
mlx-community
Added
2026-11-15
Section
alt.freeweights.text
Lineage

Original release from the publisher.

Base model: inclusionAI/Ling-3.1-flash-1019

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
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 05:15 UTCpassed

Model card

From the publisher at commit a7e27ba. Shown as plain text with links; images open at the publisher.

Ling-3.1-flash-1019-oQ2e-mtp#

This model was quantized using oQ (oMLX v0.7.3rc1) mixed-precision quantization.

A mixed-precision MLX checkpoint of inclusionAI/Ling-3.1-flash-1019, an upgraded version of Ling-3.1-flash with improved reasoning and agentic capabilities. It is a hybrid-linear mixture-of-experts model with 560B total and 25B active parameters, built from 63 KDA linear-attention layers and 9 gated MLA layers, with 512 routed experts of which 8 are active per token. It includes the language model and the MTP (NextN) layer, which oMLX runs as Lightning MTP speculative decoding.

The effective average is 2.701 bits/weight for the complete checkpoint.

Quantization and Bit Distribution#

oQ2e allocates bits by measured layer sensitivity, then rounds each group with an importance matrix (256 samples x 512 tokens, collected layer by layer from the original FP8 weights) and a weighted least-squares refit of its scale and bias.

Storage formatLogical weightsShare of totalTensor storageEffective bits/weight
Affine 2-bit, group 64547.608B95.716%159.375 GiB2.50
Affine 4-bit, group 648.053B1.408%4.219 GiB4.50
Affine 8-bit, group 1281.085B0.190%1.042 GiB8.25
Affine 8-bit, group 6415.333B2.680%15.173 GiB8.50
BF160.041B0.007%0.076 GiB16.00
FP320.000B0.000%0.000 GiB32.00
Total572.121B100%179.885 GiB2.701

Storage Breakdown#

ComponentLogical weightsStorage
Language backbone563.946B188.460 GB / 175.517 GiB
MTP head8.174B4.690 GB / 4.367 GiB
Total572.121B193.150 GB / 179.885 GiB

License#

MIT, following the source model.

Files

50 files · 193 GBWeights 193 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 50 files with their sha256
FileSizesha256
.gitattributes1.57 KB34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md2.13 KB07212e9317dd030340d9d14c590f6c7cf061119cdb75dd96993fc9c0dad83250
chat_template.jinja6.04 KBf9beb6cdd406923de4999458056f2cccd016f348ccfa588c0bdb82ee0dbce457
config.json190 KB3f3ca21809ae67fed0237bee01d3a84de7b932ad3def97e7455fff644755e287
configuration_bailing_moe_v3.py4.72 KBf2c048966aec8a2f042cfeb1351f74d51a28589b409c55baae7d24e841c1f6c4
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model.safetensors.index.json314 KBc9e27e77b0d72bac35f6bfe0b919084ce1896f2f4e14482798ace6e50bb03e34
modeling_bailing_moe_v3.py74.1 KB8722d34e4617db0d344b925fa2f1157434603f44424bd68107403d456ad31a74
oq_imatrix_report.json50.0 KBf07fb6e79991414d214547f39ff6d156faa5909fe6c8aae44620bee13460e961
special_tokens_map.json580 B69b63b9f81044ead642d16a5fdc01bcc737dc1183746485c8397ab14d3126614
tokenizer.json12.2 MB40fb9d7d7795b8bd305aeff39ce9963f3f450915b9553f2938e009be9a1fed60
tokenizer_config.json49.7 KB616f1e4ef8474790ea3ac6781a9de2df33f89e0c94a62cefaff7db1808326db1
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
a7e27ba47e pinned now2026-11-15 05:15 UTC50 files · 193 GB

Use it

$ fw get mlx-community/Ling-3.1-flash-1019-oQ2e-mtp
# manifest sha256 8ab1d1cba5cb… · 193 GB · 50 files
$ fw verify ./Ling-3.1-flash-1019-oQ2e-mtp mlx-community/Ling-3.1-flash-1019-oQ2e-mtp
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/mlx-community/Ling-3.1-flash-1019-oQ2e-mtp.json --dir ./Ling-3.1-flash-1019-oQ2e-mtp $ python3 fw.py verify ./Ling-3.1-flash-1019-oQ2e-mtp ./mlx-community__Ling-3.1-flash-1019-oQ2e-mtp.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download mlx-community/Ling-3.1-flash-1019-oQ2e-mtp --revision a7e27ba47ee583f1b79d39280fba2efe0dcde012 --local-dir ./Ling-3.1-flash-1019-oQ2e-mtp
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("mlx-community/Ling-3.1-flash-1019-oQ2e-mtp", revision="a7e27ba47ee583f1b79d39280fba2efe0dcde012") model = AutoModelForCausalLM.from_pretrained("mlx-community/Ling-3.1-flash-1019-oQ2e-mtp", revision="a7e27ba47ee583f1b79d39280fba2efe0dcde012", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve mlx-community/Ling-3.1-flash-1019-oQ2e-mtp --revision a7e27ba47ee583f1b79d39280fba2efe0dcde012

License

Name
MIT License
Id
MIT
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
07212e9317dd030340d9d14c590f6c7cf061119cdb75dd96993fc9c0dad83250
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.textSubject: Ling-3.1-flash-1019-oQ2e-mtpDate: 2026-11-15Commit: a7e27baSigned: 2DC28CC7B26A283B ✓
Upstream
mlx-community/Ling-3.1-flash-1019-oQ2e-mtp
Pinned commit
a7e27ba47ee583f1b79d39280fba2efe0dcde012
Manifest
Ling-3.1-flash-1019-oQ2e-mtp.json · .minisig
Manifest sha256
8ab1d1cba5cb2c02926b62dd505552d6ce3a510b037a805abf7e2cc1b7dc3018
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 05:15 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/mlx-community/Ling-3.1-flash-1019-oQ2e-mtp.json $ curl -O https://freeweights.allternit.com/manifests/mlx-community/Ling-3.1-flash-1019-oQ2e-mtp.json.minisig $ minisign -Vm Ling-3.1-flash-1019-oQ2e-mtp.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

inclusionAI/Ling-3.1-flash-1019 · 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/Ling-3.1-flash-1019-oQ2e-mtp
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. Ling-3.1-flash-1019-oQ2e-mtp.json. Provenance. Takedown history: none.
From: laion <huggingface.co/laion>Subject: a2-rl-e2egit_large-50-32B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-large-15-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-v2-10-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_pymethods2test-large-80-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_unitsyn-python-large-10-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_mix_h2_language_proportional-65-8B