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AI 模型 85003

• granite-34b-code-instruct-8k-GGUF↗

  ibm-granite

• Spark-X2.5-4B-uncensored-GGUF↗

  InfinimindCreations

  Quantized GGUF builds of InfinimindCreations/Spark-X2.5-4B-uncensored, an abliterated Spark-X2.5-4B with 0 refusals across 400 harmful prompts and no measurable capability loss (perplexity change -0.06 %). Evaluation details and method are on the source model card. Spark-X2.5 support lives in a fork, XHToken/llama.cpp. Upstream llama.cpp has no `Spark2_5` converter and Ollama 0.33.3 rejects the file with `failed to validate GGUF with llama-quantize without compatibility patches`. Measured, not assumed: we hit exactly that error. Spark writes into a reasoning block by default. Through an OpenAI-compatible endpoint the visible `content` is then empty while the actual answer sits in `reasoning_content`. Pass `enable_thinking: false`, or run Ollama with `--think=false`.

• bert-base-swedish-cased-alpha↗

  KBLab

• gramt-binaural-time↗

  labhamlet

• FLUX.1-schnell-gguf↗

  leejet

  The license of the quantized files follows the license of the original model: - FLUX.1-schnell: apache-2.0 Run FLUX using stable-diffusion.cpp with a GPU that has 6GB or even 4GB of VRAM: https://github.com/leejet/stable-diffusion.cpp/blob/master/docs/flux.md

• Reflection-Llama-3.1-70B-IMat-GGUF↗

  legraphista

• EXAONE-Forecast-for-Finance-1.0↗

  LG-AI-Research

• LFM3-VL-2B-GGUF↗

  LiquidAI

  The Q4_0 build in this repository is the Quantization-Aware Distillation (QAD) checkpoint, `LFM3-VL-2B-QAD-Q4_0.gguf`. It was trained to recover the accuracy lost to Q4_0 quantization.

• muse-glimmer-30b-gguf↗

  llmware

• flan_t5_large-glue_sst2↗

  lorahub