ml-intern-v4-100m-tinystories-20260512-1721
Trained autonomously by the ml-intern Claude Code skill on a single RTX A6000. This is a ~130M-parameter down-scale...
Trained autonomously by the ml-intern Claude Code skill on a single RTX A6000. This is a ~130M-parameter down-scale...
A 54.5M-parameter base language model. Pretrained on FineWeb-edu for 17,500 steps (~2.3B tokens) using a Gemma-4-style alternating sliding/global...
Faithful small-scale (~3.2B total / ~1.10B activated per token) replica of the DeepSeek-V4 architecture, sized to be trainable...
Converted DeepSeek-V4-Flash-0731 weights for deployment on NVIDIA A100 / A800 (SM80) GPUs. > For deployment configuration, installation steps,...
INVALID LANGUAGE PAIR SPECIFIED. EXAMPLE: LANGPAIR=EN|IT USING 2 LETTER ISO OR RFC3066 LIKE ZH-CN. ALMOST ALL LANGUAGES SUPPORTED...
Drop-in uncensored / abliterated weights for official DeepSeek-V4-Flash-0731 (GA), with DSpark MTP modules kept stock, for dual DGX...
INVALID LANGUAGE PAIR SPECIFIED. EXAMPLE: LANGPAIR=EN|IT USING 2 LETTER ISO OR RFC3066 LIKE ZH-CN. ALMOST ALL LANGUAGES SUPPORTED...
Верная мелкомасштабная (~ 8,1B всего / ~ 2,21B активируется на токен) реплика архитектуры DeepSeek-V4, рассчитанная на обучение на...
— Base model: deepseek-ai/DeepSeek-V4-Flash — Source revision: 6e763230a9d263eca2023f1d4a5ce1bfe126cf48 — Architecture: DeepseekV4ForCausalLM — Model type: deepseekv4` — Tooling branch:...
Автономный черновой вариант («поддерживаемая») модели спекулятивного декодирования DSpark, упакованный как один GGUF емкостью 5,6 ГиБ для движка ds4....