Qwen3-Embedding-8B

Headlines · 2

1. 3d
   billion-context releases plugin for long-running coding agents

   The billion-context project introduced an installable context-compression plugin for prolonged coding-agent sessions, distributed through npm as “billion-context.” Its GitHub description says the plugin uses model-driven, reversible compression between clients and model APIs, while claiming fivefold token savings, a 95–97% prefix-cache hit rate, and compression overhead of no more than 2%; these figures lack independent verification in the supplied report.

   GitHub Trending（每日） · 🔥 0
2. Oct 19
   Tencent Hunyuan releases GGUF quantizations of Hy-Memory-30B-A3B for llama.cpp

   Tencent Hunyuan published a GGUF repository for Hy-Memory-30B-A3B, a roughly 30B-parameter long-term-memory writer model with about 3B active parameters, aimed at local inference through llama.cpp. Three quantization levels are offered: Q6_K imatrix at 24.71 GB, Q8_0 at 31.99 GB and Q4_K_M imatrix at 18.24 GB, all under Apache-2.0. The model card reports LoCoMo Judge scores of 58.78% (154/262) for Q6_K, 57.63% for Q8_0 and 56.49% for Q4_K_M on a fixed 20% LoCoMo split using the Mem0 2.0.19 harness, with gpt-5.6-sol as answer and judge model; these figures are self-reported by the publisher and not independently replicated.

   腾讯混元 · Hugging Face · 🔥 0

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