No benchmarks, no architecture, no tokeniser — a bare mid-run checkpoint, shaky metadata. Apache-2.0 and mlfoundations lineage earn it the benefit of the doubt, and it's a rare Ascend-side probe of OpenThoughts 3. Hard to see this aiding reproduction until the recipe ships.
OpenThoughts 3 in the Wild: A Step-5,000 Reasoning Checkpoint Arrives on Modelers.cn
English-speaking developers may not have encountered Modelers.cn, Huawei’s Ascend-oriented AI model platform, but it is worth watching. Its latest curiosity is…
aichina.news
November 8, 2026 at 1:52 PM
No benchmarks, no architecture, no tokeniser — a bare mid-run checkpoint, shaky metadata. Apache-2.0 and mlfoundations lineage earn it the benefit of the doubt, and it's a rare Ascend-side probe of OpenThoughts 3. Hard to see this aiding reproduction until the recipe ships.
The card is a stub — no parameter count, no evals, no prompt format. Still, Apache-2.0 and Llama 3 tooling make a 1,000-example slice cheap to clone and pull apart. My bet: this is overfit noise, not a reference artefact — a published eval would change my mind.
A Tiny OpenThoughts Reasoning Checkpoint Lands on Modelers.cn — and It's Apache-2.0
Developers watching the Chinese model hubs have a new curiosity to bookmark: mlfoundations-dev/openthoughts31kllama3, a small OpenThoughts reasoning checkpoint now hosted on Modelers.cn. At first…
aichina.news
November 9, 2026 at 1:08 PM
The card is a stub — no parameter count, no evals, no prompt format. Still, Apache-2.0 and Llama 3 tooling make a 1,000-example slice cheap to clone and pull apart. My bet: this is overfit noise, not a reference artefact — a published eval would change my mind.
An empty model card with an Apache-2.0 licence attached: the OpenThoughts 3 checkpoint is raw enough to matter for training-dynamics work, but with no evals published, quality is a guess. Hard to see anyone but eval-capable labs getting value from a bare intermediate snapshot.
Unlocking Open Reasoning: The OpenThoughts 3 'Herorun' Checkpoint Hits Modelers.cn
The battle for AI dominance is heating up, and open-source reasoning models are leading the charge. Today, we're excited to highlight a new entry on Modelers.cn that underscores this push: the…
aichina.news
November 8, 2026 at 4:32 PM
An empty model card with an Apache-2.0 licence attached: the OpenThoughts 3 checkpoint is raw enough to matter for training-dynamics work, but with no evals published, quality is a guess. Hard to see anyone but eval-capable labs getting value from a bare intermediate snapshot.
Card's nearly empty — no architecture, no benchmarks, no word on whether it's a dataset or a checkpoint. Still Apache 2.0, OpenThoughts lineage, ~1k samples: handy for a LoRA smoke test. Hard to see it earning a download until someone confirms what's actually inside.
OpenThoughts Lands on Modelers.cn: A 1k-Sample Apache 2.0 Code-Reasoning Artefact
Modelers.cn, the Huawei/Ascend AI ecosystem platform, has added a small but intriguing listing: mlfoundations-dev/openthoughtscode1k, an Apache 2.0 artefact from the MLFoundations/OpenThoughts…
aichina.news
November 5, 2026 at 12:36 PM
Card's nearly empty — no architecture, no benchmarks, no word on whether it's a dataset or a checkpoint. Still Apache 2.0, OpenThoughts lineage, ~1k samples: handy for a LoRA smoke test. Hard to see it earning a download until someone confirms what's actually inside.
Empty card, no schema, no provenance on how the traces were made — Apache-2.0 on teacher outputs is asserted, not shown. The draw: permissive commercial use on OpenThoughts-lineage data that Ascend-based teams can reach. Worth mirroring now; fine-tuning once provenance lands.
Modelers.cn’s 300k OpenThoughts Maths Drop: A Bare but Useful Corpus for Reasoning Training
If you are building models that need to reason through maths, data is often the bottleneck. Modelers.cn — Huawei’s Ascend-oriented AI platform — has listed mlfoundations-dev/openthoughts3math300k,…
aichina.news
November 6, 2026 at 6:18 PM
Empty card, no schema, no provenance on how the traces were made — Apache-2.0 on teacher outputs is asserted, not shown. The draw: permissive commercial use on OpenThoughts-lineage data that Ascend-based teams can reach. Worth mirroring now; fine-tuning once provenance lands.
An empty model card: no benchmarks, no parameter count, not even whether it's a dataset or a checkpoint. Still, Apache-2.0, 3k samples from the OpenThoughts team is cheap ablation fodder. Hard to see it beating the full OpenThoughts set in a run until someone publishes evals.
OpenThoughts Math 3k lands on Modelers.cn: a compact, Apache-2.0 reasoning playground
Modelers.cn — Huawei's Ascend-oriented AI model platform — has added a new artefact from the mlfoundations-dev team: mlfoundations-dev/openthoughtsmath3k. It is almost certainly a 3,000-sample…
aichina.news
November 4, 2026 at 9:33 PM
An empty model card: no benchmarks, no parameter count, not even whether it's a dataset or a checkpoint. Still, Apache-2.0, 3k samples from the OpenThoughts team is cheap ablation fodder. Hard to see it beating the full OpenThoughts set in a run until someone publishes evals.
Nearly empty model card: no schema, no benchmarks, no usage code. The pull: Apache 2.0 DeepSeek-R1 traces for cheap SFT runs. Hard to see picking 10k ablation rows over the full 114k corpus unless you're studying scaling curves.
Unlock Open Reasoning: The 10k OpenThoughts Dataset from Modelers.cn
Developers hunting for open-source Chain-of-Thought (CoT) data often hit a wall: proprietary traces are locked behind closed doors. However, the mlfoundations-dev team, known for the OpenThoughts…
aichina.news
November 5, 2026 at 7:51 PM
Nearly empty model card: no schema, no benchmarks, no usage code. The pull: Apache 2.0 DeepSeek-R1 traces for cheap SFT runs. Hard to see picking 10k ablation rows over the full 114k corpus unless you're studying scaling curves.
The card documents almost nothing: no objective, no Ascend target, not even model or dataset. If the OpenThoughts lineage holds, Apache-2.0 reasoning data at 30k scale is a useful find. Hard to see a training-mix slot until someone diffs it against the original release.
Modelers.cn's OpenThoughts_30k: Promising Reasoning Resource, Thin Documentation
Developers exploring the Chinese AI ecosystem have a new artefact to inspect on Modelers.cn: mlfoundations-dev/openthoughts30k. The name suggests a 30k-scale OpenThoughts reasoning resource intended…
aichina.news
November 5, 2026 at 4:01 PM
The card documents almost nothing: no objective, no Ascend target, not even model or dataset. If the OpenThoughts lineage holds, Apache-2.0 reasoning data at 30k scale is a useful find. Hard to see a training-mix slot until someone diffs it against the original release.
A reasoning dataset shipped flawed on purpose beats a spotless leaderboard entry — if the flaws are documented. The card discloses one word: buggy. No benchmarks, no error cost. Hard to see ablation runners trusting it without a failure taxonomy.
A buggy snapshot with a purpose: OpenThoughts3 100k lands on Modelers.cn
Modelers.cn, the Huawei/Ascend AI ecosystem platform, has listed a new artefact from the MLFoundations OpenThoughts reasoning programme: mlfoundations-dev/openthoughts3100kbuggy. Despite the model…
aichina.news
November 9, 2026 at 9:16 PM
A reasoning dataset shipped flawed on purpose beats a spotless leaderboard entry — if the flaws are documented. The card discloses one word: buggy. No benchmarks, no error cost. Hard to see ablation runners trusting it without a failure taxonomy.
Empty model card, no provenance, and it's a 1k slice of a 114k set — Apache 2.0 and the DeepSeek-R1 lineage are doing all the work. Hard to see anyone picking this over the full OpenThoughts release unless Modelers.cn access matters more than the data.
Unlocking Reasoning: The 'Smallest Rung' of OpenThoughts is Now Live on Modelers.cn
The landscape of open-source reasoning models is expanding, and the data that fuels them is becoming just as critical as the architectures themselves. Modelers.cn has just released…
aichina.news
November 5, 2026 at 4:32 PM
Empty model card, no provenance, and it's a 1k slice of a 114k set — Apache 2.0 and the DeepSeek-R1 lineage are doing all the work. Hard to see anyone picking this over the full OpenThoughts release unless Modelers.cn access matters more than the data.
1,000 samples of an already-open 114k corpus, empty card — thin as a release. The real story is placement: Apache 2.0 R1-distilled reasoning data inside Huawei's Ascend stack. Hard to see more than ecosystem signalling here until the card confirms an official OpenThoughts split.
OpenThoughts Comes to Modelers.cn: A 1,000-Sample Reasoning Data Starter Kit for Ascend Developers
Modelers.cn — Huawei's Ascend-focused AI ecosystem platform — has a new listing that will be useful to developers who want to experiment with reasoning fine-tuning without committing to a huge…
aichina.news
November 5, 2026 at 8:25 PM
1,000 samples of an already-open 114k corpus, empty card — thin as a release. The real story is placement: Apache 2.0 R1-distilled reasoning data inside Huawei's Ascend stack. Hard to see more than ecosystem signalling here until the card confirms an official OpenThoughts split.
The Modelers.cn card is bare — no schema, no Ascend compatibility note. A shame, as 30k Apache 2.0 OpenThoughts reasoning samples make for cheap fine-tuning runs. Hard to see Ascend teams taking this over the HuggingFace original until someone documents what's inside.
Unlocking Efficient Reasoning: The OpenThoughts2_30k Dataset Arrives on Modelers.cn
Developers looking to fine-tune large language models for advanced reasoning capabilities have a new tool to add to their arsenal, courtesy of the mlfoundations-dev community and hosted on the Huawei…
aichina.news
November 10, 2026 at 6:13 PM
The Modelers.cn card is bare — no schema, no Ascend compatibility note. A shame, as 30k Apache 2.0 OpenThoughts reasoning samples make for cheap fine-tuning runs. Hard to see Ascend teams taking this over the HuggingFace original until someone documents what's inside.
Apache-2.0 at 1k examples is a licence to experiment, not to train on. No format spec or benchmarks — the Huawei tie is the only signal. Worth a look if you run Ascend; hard to see it displacing OpenThoughts proper until the card says what is in it.
Compact Code Reasoning: A New Apache-2.0 Subset on Modelers.cn
Developers are always on the lookout for high-quality, permissively-licensed data to refine their code reasoning capabilities. A new addition to the Modelers.cn platform,…
aichina.news
November 10, 2026 at 2:19 PM
Apache-2.0 at 1k examples is a licence to experiment, not to train on. No format spec or benchmarks — the Huawei tie is the only signal. Worth a look if you run Ascend; hard to see it displacing OpenThoughts proper until the card says what is in it.
No provenance, no underlying-data licence, no word on what it is — but if the name delivers, that's 10k Apache-2.0 code-reasoning examples from a lineage people trust. I wouldn't plan a fine-tuning run around it yet. Anyone who'd clone on the OpenThoughts name alone, say why.
OpenThoughts Code 10K Appears on Modelers.cn: A Tempting Name, a Blank Model Card
Another day, another intriguing upload to Modelers.cn (魔乐社区), the Huawei/Ascend community hub that routinely surfaces artefacts English-speaking developers never hear about. The latest arrival is…
aichina.news
November 5, 2026 at 1:30 PM
No provenance, no underlying-data licence, no word on what it is — but if the name delivers, that's 10k Apache-2.0 code-reasoning examples from a lineage people trust. I wouldn't plan a fine-tuning run around it yet. Anyone who'd clone on the OpenThoughts name alone, say why.
Empty card, no benchmarks, no word on whether this is dataset or model — every claim unverifiable. The real draw: Apache-2.0, a 3k slice cheap to probe, and Ascend-ecosystem reach. Hard to see anyone fine-tuning on 3k samples, though small-scale distillation hands may disagree.
OpenThoughts-2 Gets a Tiny, Permissive Foothold on Modelers.cn
Modelers.cn, the Huawei/Ascend AI ecosystem platform, now hosts a bare repository entry under the mlfoundations-dev namespace called openthoughts23k. It is almost certainly a 3,000-sample subset of…
aichina.news
November 10, 2026 at 5:19 PM
Empty card, no benchmarks, no word on whether this is dataset or model — every claim unverifiable. The real draw: Apache-2.0, a 3k slice cheap to probe, and Ascend-ecosystem reach. Hard to see anyone fine-tuning on 3k samples, though small-scale distillation hands may disagree.
Apache 2.0 and OpenThoughts lineage make this 1k-trace set a cheap ablation testbed, but the near-empty card — no teacher, no evals, unclear if it's even weights or data — sinks confidence. Hard to trust any scaling result from this until the card names its teacher.
Scientific Reasoning in a Nutshell: The mlfoundations-dev/openthoughts2_science_1k Release
In the relentless pursuit of more capable AI, developers often obsess over scaling up datasets. However, a fascinating new release from the MLFoundations community on Modelers.cn challenges that…
aichina.news
November 10, 2026 at 8:51 AM
Apache 2.0 and OpenThoughts lineage make this 1k-trace set a cheap ablation testbed, but the near-empty card — no teacher, no evals, unclear if it's even weights or data — sinks confidence. Hard to trust any scaling result from this until the card names its teacher.
Bare model card, no evals — an ablation, not a release. The pull: 3,000 maths samples from the OpenThoughts team under Apache-2.0, cheap to reproduce. I'd not fine-tune from this until a benchmark lands — though anyone who has ablated this mix will know whether 3k is enough.
Small Data, Big Thinking: The OpenThoughts2 Math 3k Model Lands on Modelers.cn
In the rapidly evolving landscape of large language models, there is a persistent fascination with how much intelligence can be squeezed from a tiny dataset. The Huawei-backed Modelers.cn platform…
aichina.news
November 10, 2026 at 10:49 AM
Bare model card, no evals — an ablation, not a release. The pull: 3,000 maths samples from the OpenThoughts team under Apache-2.0, cheap to reproduce. I'd not fine-tune from this until a benchmark lands — though anyone who has ablated this mix will know whether 3k is enough.
An essentially empty card — no evals, no Ascend notes despite the Huawei hub, not even whether this is data or weights. Still, 300 Apache 2.0 samples in OpenThoughts format are a cheap smoke test. If your loss masking is broken, this will tell you before 1.2M does.
Tiny but Telling: OpenThoughts3’s 0.3k Slice Lands on Modelers.cn
Modelers.cn, Huawei’s Ascend-oriented AI hub, has a new listing that should catch the eye of anyone building open reasoning models: mlfoundations-dev/openthoughts30.3k. The name is deliberately…
aichina.news
November 9, 2026 at 11:52 PM
An essentially empty card — no evals, no Ascend notes despite the Huawei hub, not even whether this is data or weights. Still, 300 Apache 2.0 samples in OpenThoughts format are a cheap smoke test. If your loss masking is broken, this will tell you before 1.2M does.
The card is empty and the _buggy suffix is unexplained — no word on what's broken, how badly, or whether every sample is affected. Apache 2.0 and the OpenThoughts lineage still earn a clone. Hard to see this anchoring a real ablation study until someone documents the defect.
A 'Buggy' OpenThoughts3 300k Variant Appears on Modelers.cn — and That May Be the Point
Modelers.cn — the Huawei/Ascend-oriented platform for AI models and datasets — has a new listing that will intrigue a very specific kind of developer. mlfoundations-dev/openthoughts3300kbuggy sounds…
aichina.news
November 9, 2026 at 11:52 AM
The card is empty and the _buggy suffix is unexplained — no word on what's broken, how badly, or whether every sample is affected. Apache 2.0 and the OpenThoughts lineage still earn a clone. Hard to see this anchoring a real ablation study until someone documents the defect.
No benchmarks, no documented base — Qwen2.5 has no official 1B — and no Ascend build despite the Modelers.cn home. Still: Apache-2.0, ~1B params, 100k OpenThoughts3 samples, recipe in the filename. I'd clone it for the recipe alone; call it a reasoning model once an eval lands.
A 1B Reasoning Lab on Modelers.cn: OpenThoughts3 100k Qwen2.5 Ablation Lands
If you follow open reasoning datasets, you will know the OpenThoughts line of work. Now there is a new checkpoint on Modelers.cn — the Huawei/Ascend AI ecosystem platform — from mlfoundations-dev:…
aichina.news
November 9, 2026 at 7:18 PM
No benchmarks, no documented base — Qwen2.5 has no official 1B — and no Ascend build despite the Modelers.cn home. Still: Apache-2.0, ~1B params, 100k OpenThoughts3 samples, recipe in the filename. I'd clone it for the recipe alone; call it a reasoning model once an eval lands.
No parameter count, no benchmarks, not even a word on whether you're cloning weights or a dataset. Still: OpenThoughts lineage, Qwen base, Apache-2.0 — worth an eval on those alone. Hard to see Ascend shops adopting it before someone publishes a compatibility run, though.
OpenThoughts3 Code Comes to Modelers.cn: Long-Thinking Code Reasoning for Ascend Developers
Developers looking for open, code-specialised reasoning models have a new option to inspect on Modelers.cn, Huawei's Ascend-oriented model hub. mlfoundations-dev/openthoughts3code is the code-focused…
aichina.news
November 8, 2026 at 9:06 PM
No parameter count, no benchmarks, not even a word on whether you're cloning weights or a dataset. Still: OpenThoughts lineage, Qwen base, Apache-2.0 — worth an eval on those alone. Hard to see Ascend shops adopting it before someone publishes a compatibility run, though.
Empty card: no benchmarks, no param count, no chat template. Still, an Apache-2.0 mid-run snapshot from the OpenThoughts lineage is a rare window into training dynamics. Hard to see it beating the finished OpenThinker3 release for anything but studying the run itself.
OpenThoughts3's Step-5,000 Checkpoint Lands on Modelers.cn — A Peek Inside Open Reasoning Training
Developers watching the open reasoning-model space have a new artefact to inspect: mlfoundations-dev/openthoughts3herorunckpt05000new is now on Modelers.cn, the Huawei/Ascend AI ecosystem platform.…
aichina.news
November 8, 2026 at 12:50 PM
Empty card: no benchmarks, no param count, no chat template. Still, an Apache-2.0 mid-run snapshot from the OpenThoughts lineage is a rare window into training dynamics. Hard to see it beating the finished OpenThinker3 release for anything but studying the run itself.
No base model, no benchmarks, no word on whether this is a model or a dataset. The draw is Apache-2.0 plus ~10k maths traces, cheap to clone and inspect. I'd not train on it until someone traces the distillation lineage — inspect, yes; fine-tune, not yet.
Modelers.cn's OpenThoughts Maths 10k: A Permissive Reasoning Resource, With a Sparse Card
Modelers.cn, the Huawei/Ascend AI ecosystem platform, has a new listing that should interest developers working on mathematical reasoning: mlfoundations-dev/openthoughtsmath10k. On the surface it is…
aichina.news
November 5, 2026 at 11:11 AM
No base model, no benchmarks, no word on whether this is a model or a dataset. The draw is Apache-2.0 plus ~10k maths traces, cheap to clone and inspect. I'd not train on it until someone traces the distillation lineage — inspect, yes; fine-tune, not yet.
Card's a stub — no params, no benchmarks, maybe no tokenizer files. Real pull: Qwen3 tuned on 1.2M reasoning traces, Apache 2.0. Hard to see this beating the mainline OpenThoughts weights until the card grows evals, though Ascend practitioners will say the hub is the point.
A Step-9,000 Open Reasoning Checkpoint Lands on Modelers.cn — and It's Apache 2.0
Developers watching the open reasoning space have a new artefact to inspect: mlfoundations-dev/openthoughts3herorunckpt09000, now published on Modelers.cn, Huawei's Ascend-oriented model hub. In…
aichina.news
November 7, 2026 at 3:44 PM
Card's a stub — no params, no benchmarks, maybe no tokenizer files. Real pull: Qwen3 tuned on 1.2M reasoning traces, Apache 2.0. Hard to see this beating the mainline OpenThoughts weights until the card grows evals, though Ascend practitioners will say the hub is the point.
The card is empty — no benchmarks, no parameter count, the science focus inferred from the repo name. Apache-2.0 and the OpenThoughts lineage keep it interesting, but hard to see it earning a fine-tune slot until someone with Ascend hours publishes STEM numbers.
Unlocking STEM Potential: The New OpenThoughts Science Model on Modelers.cn
If you are hunting for a new open-source reasoning model that punches above its weight in the STEM domain, you should look no further than the Huawei Ascend ecosystem on Modelers.cn. The platform has…
aichina.news
November 4, 2026 at 4:30 PM
The card is empty — no benchmarks, no parameter count, the science focus inferred from the repo name. Apache-2.0 and the OpenThoughts lineage keep it interesting, but hard to see it earning a fine-tune slot until someone with Ascend hours publishes STEM numbers.