Search FoxAI
AI Models 84759
- LFM2.5-8B-A1B-MLX-8bit↗
LiquidAI
- LFM2.5-VL-450M-MLX-4bit↗
LiquidAI
- Llama-3.1-8B-UltraLong-1M-Instruct-GGUF↗
lmstudio-community
- magistral-small-2506-mlx-bf16↗
lmstudio-community
*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** mistral-ai **Original model**: magistral-small **MLX quantization:** provided by LM Studio team using mlx_lm LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.
- Qwen2.5-VL-72B-Instruct-GGUF↗
lmstudio-community
*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** Qwen **Original model**: Qwen2.5-VL-72B-Instruct **GGUF quantization:** provided by bartowski based on `llama.cpp` release b5317 Proficient in recognizing common objects such as flowers, birds, fish, and insects, but it is highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
- testllm↗
lovis93
`FLUX.1 [dev]` is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. For more information, please read our blog post. 1. Cutting-edge output quality, second only to our state-of-the-art model `FLUX.1 [pro]`. 2. Competitive prompt following, matching the performance of closed source alternatives . 3. Trained using guidance distillation, making `FLUX.1 [dev]` more efficient. 4. Open weights to drive new scientific research, and empower artists to develop innovative workflows. 5. Generated outputs can be used for personal, scientific, and commercial purposes as described in the [`FLUX.1 [dev]` Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md). We provide a reference implementation of `FLUX.1 [dev]`, as well as sampling code, in a dedicated github repository. Developers and creatives looking to build on top of `FLUX.1 [dev]` are encouraged to use this as a starting point.
- DeepSeek-V4.1-Flash-ROCMFP23-GGUF↗
Lucebox
Lucebox builds of DeepSeek V4.1 Flash for the Lucebox DS4.1 engine (AMD R9700 + Strix Halo). Routed experts in the engine's ROCMFP block formats; attention, shared experts and head in Q8_0; both Engram tables embedded. Calibrated with the published 262,144-token imatrix (`smalinin/DeepSeek-V4.1-Flash-GGUF`, converted in `imatrix/`). Formats: `Q2_0_ROCMFP2` (ggml type 107, 10 bytes per 32 weights, 2.5 bits, codebook {-1, 0, 1, 2} x a ue4m3 scale per 16 weights), `Q3_0_ROCMFPX` (type 104, 14 bytes per 32, 3.5 bits). **fp2s** files use type 107 with bit 7 of a half-block's scale byte meaning "mirror the codebook"; a reader that ignores that bit produces garbage, so use an engine build that honors it. KL is measured on 8,184 held-out fineweb-edu tokens against the unquantized model through the same reference forward pass (`eval/` holds the teacher log-probs and the tokens). Recipe, converter patches and harness: Lucebox repo, `lucebox_training/quantization`. `DeepSeek-V4.1-Flash-mmproj-BF16.gguf` (0.90 GiB): this checkpoint's vision encoder (32-layer ViT and the aligner into the 5120-wide model), its 266 tensors copied byte for byte in BF16 by the engine's `server/tools/export_ds4v_mmproj.py`, with the checkpoint revision recorded (sha256 in `vision/`). Pass it with `--mmproj` to an engine build with V4.1 image input, next to these September files only: the October 17 checkpoint retrained its encoder and ships its own in `Lucebox/DeepSeek-V4.1-Flash-1017-ROCMFP-GGUF`. The engine refuses an encoder from another checkpoint than the target's.
- Colibri_8b_v0.1-GGUF↗
MaziyarPanahi
- flair-arabic-multi-ner↗
megantosh
- MERaLiON-2-10B-GGUF↗
MERaLiON
