GGUF build of openai/gpt-oss-20b for llama.cpp / Ollama / LM Studio. Converted by axteam with llama.cpp. The chat template (OpenAI harmony format) is embedded in the GGUF. Use a recent llama.cpp build (gpt-oss support, Aug-2025 or later). Reasoning effort can be set in the system prompt (Reasoning: low|medium|high). KV-cache type is a run-time choice in llama.cpp (not baked into the file): Apache-2.0, following the original openai/gpt-oss-20b. Weights, tokenizer, and chat template belong to OpenAI. This repo only re-packages them as GGUF. openai/gpt-oss-20b 의 GGUF 빌드 (llama.cpp·Ollama·LM Studio용). 변환: axteam (llama.cpp, chattemplate(OpenAI harmony)은 GGUF에 내장). - 파일…
Organization
WINSTECHNET_AX
axteam
Models in Library4
Datasets in Library0
Models on Hugging Face37
Followers2
Compare the published evidence
This profile connects the 4 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Image and text to text, Text generation.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
4-bit quantization of google/gemma-4-26B-A4B (commit 24548b6), produced for efficient vLLM serving. Quantized by axteam. - Scheme — W4A16 — FP4 (E2M1) weights group 16 (FP8 E4M3 scale + per-tensor FP32 global scale), BF16 activations, stored as compressed-tensors nvfp4-pack-quantized. - Kept in BF16 — vision tower, vision projection, token embeddings (tied with lmhead), MoE router, and all norms, plus the shared MLP. These are left unquantized to preserve quality (a small fraction of total parameters). - Tokenizer / chattemplate / processorconfig / generationconfig are byte-identical to the original, including Google's July-2026 corrected chattemplate. config.json is the original plus a…
4-bit quantization of google/gemma-4-31B-it (commit 842da37), produced for efficient vLLM serving. Quantized by axteam. - Scheme — W4A16 — FP4 (E2M1) weights group 16 (FP8 E4M3 scale + per-tensor FP32 global scale), BF16 activations, stored as compressed-tensors nvfp4-pack-quantized. - Kept in BF16 — vision tower, vision projection, token embeddings (tied with lmhead), MoE router, and all norms. These are left unquantized to preserve quality (a small fraction of total parameters). - Tokenizer / chattemplate / processorconfig / generationconfig are byte-identical to the original, including Google's July-2026 corrected chattemplate. config.json is the original plus a quantizationconfig block.…