Up to date
Qwen Apache 2.0 out 18 months ago
596M parameters, text in, text out, 32K tokens of context. 1 provider serves it.
Verified 2026-10-25 Rank #174 in LLMs · score 90.6 method v1 Sources 3 Downloads 30d 636.7k · #145 of 619 tracked
Changed this week: 2 new quantized builds on the Hub (96 in all).2026-10-24
Picked by rule from 14 tracked pieces: the lab's own post, the most shared, a field report, the latest.
OpenAI released gpt-oss-120b and gpt-oss-20b, their first open-weight models since GPT-2 in 2019.
The 3 picks above, plus these 11. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.
Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.
| # | Cheapest live row | In /1M | Out /1M | Context | Quant | Seen |
|---|---|---|---|---|---|---|
| 1 | Featherless | — | — | — | — | Oct 25 |
Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.
Served by 1 API provider; heavily run locally (96 quantized builds); a big base for builders (827 fine-tunes, adapters and merges).
Top Spaces running it: dqy08/InfoLens1 ♥ 22 · Jellyfish042/Compression-Lens ♥ 4 · capacit-ai/saga2-danish-asr ♥ 4 · open-ticket-ai/queues-university-classifier-demo ♥ 1
Weights only, an estimate: leave room for the KV cache. Method
About 0.4 GB at INT4, 0.7 GB at FP8, 1.4 GB at BF16: weights only, so leave room for the KV cache.
Estimate params × bytes per param × 1.2 · how we estimate
Weights, every dated article, and repo commits on one rail.
Teal is the weights (2025-04-28), amber triangles are 3 dated articles (each links to it), grey ticks are repo commits.
923 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Everything else, folded: the full tables, every source.
Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.
Listed in LLMs
| Pipeline tag | text-generation |
|---|---|
| Library | transformers |
| Architectures | Qwen3ForCausalLM |
| Model type | qwen3 |
| Dtype | bfloat16 |
| Params by dtype | BF16: 596,049,920 |
| Size band | S |
| MoE | no |
| Context length | 32,768 (config.json max_position_embeddings) |
| Papers | arXiv:2505.09388 |
| License | Apache 2.0 (apache-2.0) |
| Hub snapshot | 2026-10-25 |
vLLM: supported · Qwen3ForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen3ForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed
vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.
Weights-only memory for Qwen3-0.6B-Base: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.
| BF16 (2 bytes/param) | 1.4 GB · Edge (<4 GB) |
|---|---|
| FP8 (1 byte/param) | 0.7 GB · Edge (<4 GB) |
| INT4 (0.5 bytes/param) | 0.4 GB · Edge (<4 GB) |
Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.
finetune: 735quantized: 96adapter: 90merge: 2
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| tomaarsen/Qwen3-Reranker-0.6B-seq-cls | finetune | — | 596M | S | apache-2.0 | tomaarsen | 39 | 2M |
| jinaai/jina-embeddings-v5-text-small | finetune | — | 596M | S | cc-by-nc-4.0 | jinaai | 205 | 1.9M |
| PrimeIntellect/Qwen3-0.6B | finetune | — | 752M | S | apache-2.0 | PrimeIntellect | 0 | 1.2M |
| Qwen/Qwen3-Embedding-0.6B-GGUF | quantized | GGUF | — | — | apache-2.0 | Qwen | 587 | 1M |
| unsloth/Qwen3-0.6B-Base-unsloth-bnb-4bit | quantized | -bnb | 609M | S | apache-2.0 | unsloth | 4 | 197k |
| unsloth/Qwen3-0.6B-Base | finetune | — | 596M | S | apache-2.0 | unsloth | 6 | 162.6k |
| unsloth/Qwen3-Embedding-0.6B | finetune | — | 596M | S | apache-2.0 | unsloth | 11 | 53.7k |
| unsloth/Qwen3-0.6B-Base-bnb-4bit | quantized | -bnb | 610M | S | apache-2.0 | unsloth | 0 | 44k |
| michaelfeil/Qwen3-Embedding-0.6B-auto | finetune | — | 596M | S | apache-2.0 | michaelfeil | 0 | 22.9k |
| Qwen/Qwen3-0.6B-MLX-4bit | quantized | MLX | 596M | S | apache-2.0 | Qwen | 30 | 20.1k |
| Mungert/Qwen3-Reranker-0.6B-GGUF | quantized | GGUF | — | — | apache-2.0 | Mungert | 7 | 16.9k |
| Mungert/Qwen3-Embedding-0.6B-GGUF | quantized | GGUF | — | — | apache-2.0 | Mungert | 4 | 15.3k |
| mradermacher/Qwen3-0.6B-Base-GGUF | quantized | GGUF | — | — | apache-2.0 | mradermacher | 3 | 13.7k |
| QuantFactory/Qwen3-0.6B-GGUF | quantized | GGUF | — | — | apache-2.0 | QuantFactory | 6 | 12.3k |
| Qwen/Qwen3-0.6B-MLX-8bit | quantized | MLX | 596M | S | apache-2.0 | Qwen | 9 | 10.8k |
| Qwen/Qwen3-0.6B-MLX-bf16 | finetune | MLX | 596M | S | apache-2.0 | Qwen | 13 | 9.3k |
| Aratako/MioTTS-0.6B | finetune | — | 609M | S | apache-2.0 | Aratako | 10 | 9.1k |
| Mungert/Qwen3-0.6B-GGUF | quantized | GGUF | — | — | apache-2.0 | Mungert | 9 | 7.9k |
| QuantFactory/Qwen3-Reranker-0.6B-GGUF | quantized | GGUF | — | — | apache-2.0 | QuantFactory | 3 | 7.4k |
| NOSIBLE/financial-sentiment-v1.1-base | finetune | — | 596M | S | apache-2.0 | NOSIBLE | 3 | 7k |
| mradermacher/Qwen3-0.6B-Base-i1-GGUF | quantized | GGUF | — | — | apache-2.0 | mradermacher | 1 | 6.7k |
| wassname/Qwen3-0.6B-sft | finetune | — | 596M | S | — | wassname | 0 | 5.6k |
| michaelfeil/Qwen3-Reranker-0.6B-seq | finetune | — | 596M | S | apache-2.0 | michaelfeil | 1 | 5.5k |
| saidutta69/Qwen3-0.6B-heretic | quantized | GGUF | 596M | S | apache-2.0 | saidutta69 | 1 | 5.3k |
| mlx-community/Qwen3-Embedding-0.6B-mxfp8 | finetune | — | 596M | S | apache-2.0 | mlx-community | 3 | 4.6k |
| electroglyph/Qwen3-Embedding-0.6B-onnx-uint8 | quantized | — | — | — | apache-2.0 | electroglyph | 15 | 3.9k |
| NOSIBLE/financial-sentiment-v1.2-base | finetune | — | 596M | S | apache-2.0 | NOSIBLE | 1 | 4.6k |
| onnx-community/kev-0.6b-ONNX | quantized | — | — | — | apache-2.0 | onnx-community | 4 | 4.4k |
| vllm-sr/Decision-2.0-Kai-0.6B | finetune | — | — | — | apache-2.0 | vllm-sr | 43 | 2.3k |
| HealthDataHub/PARTAGES-Qwen3-0.6B-PDAPT-SLERP | finetune | — | 752M | S | apache-2.0 | HealthDataHub | 0 | 4.2k |
| mlx-community/Qwen3-Reranker-0.6B-mxfp8 | finetune | — | 596M | S | apache-2.0 | mlx-community | 2 | 4.1k |
| mozilla-ai/Qwen3-0.6B-llamafile | finetune | — | — | — | apache-2.0 | mozilla-ai | 5 | 3.9k |
| dnotitia/Qwen3-0.6B | finetune | — | 752M | S | apache-2.0 | dnotitia | 0 | 4.1k |
| lunahr/CeluneNorm-0.6B-v1.1 | finetune | — | 596M | S | mit | lunahr | 0 | 3.5k |
| sophiargh/MNLP_M2_mcqa_model | finetune | — | 596M | S | apache-2.0 | sophiargh | 0 | 3.5k |
| occ-ai/OCC-RAG-0.6B | finetune | — | 596M | S | mit | occ-ai | 2 | 3.3k |
| woodx/Qwen3-Embedding-0.6B-SGLang | finetune | — | 596M | S | apache-2.0 | woodx | 0 | 3.3k |
| dengcao/Qwen3-Reranker-0.6B-GGUF | quantized | GGUF | — | — | apache-2.0 | dengcao | 0 | 3.3k |
| brivangl/qwenar-0.6b-montevideo | finetune | — | 1.19B | S | apache-2.0 | brivangl | 2 | 3.1k |
| Qwen/Qwen3-0.6B-MLX-6bit | quantized | MLX | 596M | S | apache-2.0 | Qwen | 11 | 2.6k |
| Date | Commit | SHA |
|---|---|---|
| 2025-07-26 | Create LICENSE | da87bfb |
| 2025-05-21 | Update README.md | 11214f7 |
| 2025-05-20 | update tokenizer_config.json | 311c62e |
| 2025-04-28 | Update README.md | 15c1898 |
| 2025-04-28 | Upload merges.txt | 57ca99e |
| 2025-04-28 | Update tokenizer_config.json | 527f918 |
| 2025-04-28 | Update README.md | fe3e458 |
| 2025-04-28 | Update README.md | ddc9284 |
| 2025-04-28 | Delete .mv | 5352dc2 |
| 2025-04-28 | Delete .msc | 78b4464 |
| 2025-04-28 | Delete configuration.json | d466799 |
| 2025-04-28 | Upload folder using huggingface_hub | da05741 |
| 2025-04-28 | initial commit | 478df38 |
Hosted endpoints observed for Qwen3-0.6B-Base, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting.
| Provider | Model ref | Context | Quant | $/M in | $/M out | tok/s | TTFT | Tools | Status | Observed |
|---|---|---|---|---|---|---|---|---|---|---|
| Featherless hf | Qwen/Qwen3-0.6B-Base | — | — | — | — | — | — | — | live | 2026-10-25 |
Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.
arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).
Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:35 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:03 UTC · Last verified 2026-10-25
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