DeepSeek-V4.1-Flash-1017-oQ4e-ngram-mtp
mlx-community · Kit
A mixed-precision MLX copy of DeepSeek-V4.1-Flash-1017 that keeps the Engram tables at FP8. Made for people with hundreds of GB of memory who want to run the m…
mlx-community · Kit
A mixed-precision MLX copy of DeepSeek-V4.1-Flash-1017 that keeps the Engram tables at FP8. Made for people with hundreds of GB of memory who want to run the m…
kaushikvira · Kit
Runs the 763.2B-parameter DeepSeek V4.1 Flash as a 153 GiB mixed-precision build tuned for agentic and coding work on the strata engine. For people with a larg…
Jundot · Kit
Runs Qwen3.8-27B as an 8-bit mixed-precision MLX checkpoint with its vision encoder and MTP head, for image and text chat on Apple hardware. For people who wan…
Jundot · Kit
Runs the 27B Qwen3.8 vision-language model on MLX in about 17.5 GB, reading text, images and video with a 262,144-token context. A mixed-precision quantization…
Jundot · Kit
A mixed-precision MLX copy of zai-org's GLM-5.3-Flash multimodal mixture-of-experts model, about 4.6 bits per weight, with the vision encoder and multi-token p…
mlx-community · Kit
A 4-bit mixed-precision MLX version of Qwen3.5-9B for local text generation on Apple Silicon, with a bundled multi-token prediction head. For Mac users who run…
Jundot · Kit
A mixed-precision MLX copy of Qwen3.8-27B at about 6.9 bits per weight, with the vision encoder and multi-token prediction head included, for running locally o…
Jundot · Kit
A mixed-precision MLX copy of Qwen3.6-35B-A3B at about 6.8 bits per weight, with the vision encoder and multi-token prediction head included, for running local…
cdiamond · Kit
A 17.1 GB mixed-precision GGUF of Qwen3.8-27B that keeps its multi-token prediction layer, tuned for 256K context with vision on a 24 GB GPU. For people who ru…
mlx-community · Kit
A mixed-precision MLX copy of DeepSeek-V4.1-Flash-1017, a huge multimodal mixture-of-experts model. Made for people with hundreds of GB of memory who want to r…