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AI Models 84759

• FLUX.2-dev-FP8↗

  unsloth

  This is an FP8 / INT8 quantized version of FLUX.2-dev. - Optimized for efficient inference with reduced memory footprint. Same-seed LPIPS vs the bf16 model (lower is better): 0.078 INT8, 0.073 FP8. `FLUX.2 [dev]` is a 32 billion parameter rectified flow transformer capable of generating, editing and combining images based on text instructions. For more information, please read our blog post. 1. State of the art in open text-to-image generation, single-reference editing and multi-reference editing. 2. No need for finetuning: character, object and style reference without additional training in one model. 4. Trained using guidance distillation, making `FLUX.2 [dev]` more efficient. 5. Open weights to drive new scientific research, and empower artists to develop innovative workflows. 6. Generated outputs can be used for personal, scientific, and commercial purposes, as described in the [FLUX \[dev\] Non-Commercial License](https://github.com/black-forest-labs/flux/blob/main/model_licenses/LICENSE-FLUX1-dev).

• GLM-4.6-GGUF↗

  unsloth

  > [!NOTE] > Please use latest version of `llama.cpp`. This GGUF includes multiple Unsloth **chat template fixes**! For `llama.cpp`, please use `--jinja` > 📖 Check out the GLM-4.6 technical blog , technical report(GLM-4.5) , and Zhipu AI technical documentation . We evaluated GLM-4.6 across eight public benchmarks covering agents, reasoning, and coding. Results show clear gains over GLM-4.5, with GLM-4.6 also holding competitive advantages over leading domestic and international models such as **DeepSeek-V3.1-Terminus** and **Claude Sonnet 4**.

• LTX_2.3_Paper_Cut_Out_Style_LoRa↗

  vrgamedevgirl84

  This LoRA creates a cozy handcrafted **paper cut-out cinematic diorama** style where every subject and environment looks physically assembled from layered paper pieces. Scenes feature **stacked paper shapes**, **visible cut edges**, **layered sheets**, **folded paper elements**, **slight paper curl**, **tape seams**, and **handcrafted paper detailing**. The result feels like a miniature handmade storybook world built from paper. Objects, characters, and landscapes appear constructed from stacked paper layers with **clean cut edges**, **layered depth**, and **tactile dimension**. Lighting naturally highlights layered paper edges and overlapping shapes, giving a warm cinematic look while preserving the handcrafted paper aesthetic.

• Qwythos-9B-v2-Heretic-GGUF↗

  WaveCut

• RM-Gemma-2B↗

  weqweasdas

• Qwen3.5-4B-Fuck-GGUF↗

  wesjos

• task-13-Qwen-Qwen2.5-0.5B-Instruct↗

  wuyanzu4692

• Mistral-Medium-3.5-128B-NVFP4↗

  zdy1995love

• whisper-telephony-amd↗

  AbijahKaj

• cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp5-n3nc-iid16-s3↗

  agurung

  Trained and validated on the **cobalt-train ≤2/64 frontier** (canonical clean_eval prompts): 1833 train / 112 held-out val problems the base model solved on at most 2 of 64 samples under the iid_canonical@64 hardness scan. Val evals sample at temperature 1.0 (matching the clean_eval frontier eval). Reward signal: **binary code-correctness** (1.0 if the generated program passes the problem's tests, otherwise 0.0). This checkpoint is the **`main`** revision (git branch) of the repo, with the model at the repo root — load it directly, no subfolder: