Full-functionality GGUF exports for llama.cpp: text + vision included (the GLM-5.3 vision tower ships as a separate mmproj file, keeping every quant pairable with it). Every file was smoke-tested end to end before upload - text runs with llama-cli, vision with llama-server --mmproj. RED-SNOW 5.3 FLASH is built for authorized offensive-security work: attack-path reasoning, cross-domain operations (identity, cloud, network, app, endpoint, OT), exploit and tradecraft analysis, detection-aware execution, and purple-team handoff. See the base model card for the full picture. Architecture highlights that matter for inference: - MLA (nope-only) + DSA sparse-attention indexer with k-pool…
Open weights
mit
gguf
GGUF conversions of Blackfrost-AI/K2-Horizon-MoVA-36B-A4B-DERISKED-BF16. The source is a weight-level behavioral derivative of IFM/K2-Horizon-MoVA-36B-A4B. DERISKED is the Blackfrost research label. It is not a claim of safety, zero refusals, or unchanged benchmark scores. Upstream llama.cpp cannot load k2-horizon. You need the IFM fork: https://github.com/MBZUAI-IFM/llama.cpp/tree/model/K2Horizon These files were converted and quantized with that branch at 42adf01. Host: Ryzen 6850H / Radeon 680M, Vulkan, GGMLVKDISABLEASYNC=1, fork build b1-42adf01. Prompt: The capital of France is, temperature 0, --jinja. IQ3M greedy sample (chat template, reasoning on): Routers (attnvgate) are kept in…
Open weights
apache-2.0
Build in progress. These files are not a release. No quant here has passed a generation smoke test. An upload only means the file finished writing. It becomes usable after it loads and produces coherent text, and that result is written in the test log below. Source checkpoint: Blackfrost-AI/CYBER-FROST-3.8-BF16. Architecture qwen4exp (Qwen4ExpForConditionalGeneration), from Qwen/Qwen3.8-Flash-Next. Text stack only. The vision tower was not converted. About 180B parameters, about 6B active. 48 layers, 512 experts, 10 experts per token, one shared expert. Configured context is 262144. The checkpoint includes one native MTP draft block. That block was trained before the final trunk behavior…
Open weights
other
llama.cpp
GGUF quants of Blackfrost-AI/LFM2.5-24B-A2B-DERISKED-BF16. Text model. This checkpoint has no vision tower and no mmproj. Architecture is Lfm2MoeForCausalLM (lfm2moe). About 24B parameters, about 2.45B active. 40 blocks: 2 dense, 38 MoE. 64 experts, 4 routed per token. 30 short-conv blocks and 10 attention blocks. Tied embeddings. Configured context is 131072. No MTP / NextN tensors in the source checkpoint. The source is a behaviorally modified BF16 derivative of LiquidAI/LFM2.5-24B-A2B. "DERISKED" is the repository name, not a safety certification. The parent license still applies. See LICENSE. Quantized with llama.cpp llama-quantize from a BF16 GGUF. No importance matrix. Embeddings and…
Open weights
other
llama.cpp
