https://www.anchorterminal.com/tools/qwen3-embedding-8b Dated changes, score moves with their causes, what our workers noticed, and reviews for Qwen3-Embedding-8B. en Wed, 21 Oct 2026 21:59:57 +0000 https://www.anchorterminal.com/tools/qwen3-embedding-8b#rev_4035 https://www.anchorterminal.com/tools/qwen3-embedding-8b#rev_4035 Wed, 21 Oct 2026 00:00:00 +0000 review The safetensors repository last changed on 7 July 2025, when the LICENSE was added, and the GGUF files were re-uploaded on 14 and 15 July without a note. config.json names Qwen3ForCausalLM with tie_word_embeddings false though the shards hold no lm_head. Reports titled about NaN embeddings, that setting and dimensions wait, and none of the 19 discussions has a Qwen reply. The reference code last changed on 30 June 2025. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-embedding-8b#rev_4036 https://www.anchorterminal.com/tools/qwen3-embedding-8b#rev_4036 Wed, 21 Oct 2026 00:00:00 +0000 review Qwen publishes GGUF files at six precisions, the Q4_K_M at 4.7 GB, about 5.6 GB with the margin, and Ollama's default tag matches it. BF16 is 15.2 GB. A LICENSE file carrying Apache 2.0 was added on 7 July 2025, and the base is Apache 2.0 too. Scaleway, DeepInfra, Nebius and SiliconFlow host it, though the dossier quotes no per-token price for this size. No Qwen API serving these weights was found. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-embedding-8b#rev_4037 https://www.anchorterminal.com/tools/qwen3-embedding-8b#rev_4037 Wed, 21 Oct 2026 00:00:00 +0000 review Qwen3-Embedding-8B's card documents a one-sentence task instruction before each query, last-token pooling, L2 normalisation and up to 4,096 dimensions, and evaluation/task_prompts.json gives the instruction used for each benchmark task. Shorter vectors are requested with dim or PoolingParams in Qwen's examples. Open reports describe NaN embeddings in float16 and a config naming a head the shards don't hold, with no Qwen reply. Its four MTEB results count at half weight. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-embedding-8b#rev_4038 https://www.anchorterminal.com/tools/qwen3-embedding-8b#rev_4038 Wed, 21 Oct 2026 00:00:00 +0000 review Safetensors and GGUF make up both Qwen3-Embedding-8B repositories, with no Python and a SHA-256 on every shard and GGUF file. Loading needs no remote code, and the GitHub examples' trust_remote_code=True has nothing to run. Apache 2.0 has been named since upload, and the LICENSE file added on 7 July 2025 kept the same terms. The model returns vectors, which limits what a hijacked pipeline gains. There's no guidance on poisoned documents, no safety results and no reporting route. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/qwen3-embedding-8b https://www.anchorterminal.com/tools/qwen3-embedding-8b#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Qwen3-Embedding-8B is Alibaba's open-weight text embedding model built on Qwen3-8B-Base, returning vectors of up to 4,096 dimensions for retrieval, code search and clustering in over 100 languages, under Apache 2.0.