Data comes first.
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saiga_yandexgpt_8b_gguf_q8
10GB VRAM
216 Pulls 1 Tag Updated 7 months ago
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saiga_yandexgpt_8b_gguf_q5_k_m
8GB VRAM
176 Pulls 1 Tag Updated 7 months ago
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gemma3-27b-q4_k_m-32k
Customized Gemma 3 27B (Q4_K_M) with 32k context window. Optimized for 24GB VRAM GPUs (like NVIDIA GeForce RTX 4090, NVIDIA GeForce RTX 3090, AMD Radeon RX 7900 XTX on Linux).
vision73 Pulls 1 Tag Updated 2 months ago
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saiga_yandexgpt_8b_gguf_q
16GB VRAM
72 Pulls 1 Tag Updated 7 months ago
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saiga_yandexgpt_8b_gguf_q5_k_s
8GB VRAM
33 Pulls 1 Tag Updated 7 months ago
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Qwen3-Embedding-8B
22 Pulls 1 Tag Updated 3 weeks ago
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saiga_yandexgpt_8b_gguf_q6_k
9GB VRAM
12 Pulls 1 Tag Updated 7 months ago