Inference · /inferences/seasons/2026-W44

Season 2026-W44, open.

26 Oct 2026 to 2 Nov 2026 — 7 days left. What the grams proved of the catalog this window, per artifact and hardware class. Lineage is from the catalog; every number is a signed measurement or a count of them, and a gram count is a verified floor.

0grams contributed
0artifacts proved
0hardware classes
0publishers
cohorts this season
  • 0 · Lead member, rung 00
  • 1 · Lead member's ladder0
  • 2 · Other vendor members0
  • 3 · Derivatives0

The order a season proves things in: the number every other number is compared to comes first.

hardware classes that signed

    A class is os · arch · card class · RAM band. A number proved on one says nothing about another.

    cells the network has signed as unprovable
    • myshell-ai/OpenVoiceV2Linux · x86-64 · no GPU · 32 GiB · unloadable · 3 grams

      the engine has no loader for this architecture — a release changes that, never a clock

    • ai4bharat/indicconformer_stt_hi_hybrid_ctc_rnnt_largeLinux · x86-64 · no GPU · 32 GiB · unloadable · 1 gram

      the engine has no loader for this architecture — a release changes that, never a clock

    • ai4bharat/indicconformer_stt_hi_hybrid_ctc_rnnt_largeWindows · x86-64 · Intel GPU · 16 GiB · unloadable · 1 gram

      the engine has no loader for this architecture — a release changes that, never a clock

    • ai4bharat/indicconformer_stt_hi_hybrid_ctc_rnnt_largeLinux · x86-64 · NVIDIA · 32 GiB · unloadable · 1 gram

      the engine has no loader for this architecture — a release changes that, never a clock

    • bharatgenai/Shrutam-2Linux · x86-64 · no GPU · 32 GiB · unloadable · 1 gram

      the engine has no loader for this architecture — a release changes that, never a clock

    • bharatgenai/Shrutam-2Linux · x86-64 · NVIDIA · 32 GiB · unloadable · 1 gram

      the engine has no loader for this architecture — a release changes that, never a clock

    • bharatgenai/sooktam2Windows · x86-64 · Intel GPU · 16 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • bharatgenai/sooktam2Linux · x86-64 · no GPU · 32 GiB · unloadable · 1 gram

      the engine has no loader for this architecture — a release changes that, never a clock

    • bharatgenai/sooktam2Linux · x86-64 · NVIDIA · 32 GiB · unloadable · 1 gram

      the engine has no loader for this architecture — a release changes that, never a clock

    • coqui/XTTS-v2Linux · x86-64 · no GPU · 32 GiB · unloadable · 1 gram

      the engine has no loader for this architecture — a release changes that, never a clock

    • coqui/XTTS-v2Windows · x86-64 · NVIDIA · 16 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • coqui/XTTS-v2Linux · x86-64 · NVIDIA · 32 GiB · unloadable · 1 gram

      the engine has no loader for this architecture — a release changes that, never a clock

    • coqui/XTTS-v2macOS · ARM64 · Apple GPU · 16 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • hf.co/AliceThirty/GLM-5.3-Flash-UNCENSORED-GGUF:BF16Windows · x86-64 · NVIDIA · 8 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • hf.co/cduk/embeddinggemma-300m-GGUF-with-dense-modules:Q4_KLinux · x86-64 · no GPU · 32 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • hf.co/ggml-org/gpt-oss-120b-GGUF:BF16Windows · x86-64 · NVIDIA · 8 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • hf.co/ggml-org/gpt-oss-120b-GGUF:Q8_0Windows · x86-64 · NVIDIA · 8 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • hf.co/JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_0Windows · x86-64 · NVIDIA · 8 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • hf.co/mradermacher/Mistral-Small-4-119B-2603-GGUF:F16Windows · x86-64 · NVIDIA · 8 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • hf.co/NeuralNotwerk/Mistral-Medium-3.5-128B-GGUF:BF16Windows · x86-64 · NVIDIA · 8 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • hf.co/pfeifferj/GLM-5.3-Flash-GSQ-RCO-GGUF:BF16Windows · x86-64 · NVIDIA · 8 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • hf.co/Rioky/Mistral-Small-4-119B-2603-heretic-i1-gguf:F16Windows · x86-64 · NVIDIA · 8 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • hf.co/Rioky/Mistral-Small-4-119B-2603-heretic-i1-gguf:Q8_0Windows · x86-64 · NVIDIA · 8 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    • hf.co/tarruda/Hy3-GGUF:Q8_0Windows · x86-64 · NVIDIA · 8 GiB · unavailable · 1 gram

      the ref, or the quant asked of it, is not published upstream

    refusals are signed facts about (artifact, class): gated, unloadable, or absent upstream. They are coverage of a kind -- the fleet learned it once -- and they sink the cell to the back of every gram of that class. A refusal lifts when its season closes and the engine that refused has moved on.

    what proving costs, per hardware class
    • Windows · x86-64 · Intel GPU · 16 GiB3.8 MiB/s median fetch
      • generation: 3 s median probe · 1 sample

      carried forward — no gram of this class reported in the latest aggregate

    • Windows · x86-64 · NVIDIA · 16 GiB63.6 MiB/s median fetch
      • ollama: 17 min 42 s median probe · 1 sample
      • ollama-host: 46 min 44 s median probe · 1 sample
      • generation: 0 s median probe · 1 sample
    • macOS · x86-64 · Apple GPU · 8 GiB3.5 MiB/s median fetch

        carried forward — no gram of this class reported in the latest aggregate

      • Windows · x86-64 · AMD · 8 GiB894.6 MiB/s median fetch
        • ollama-host: 30 min 52 s median probe · 3 samples
        • generation: 1 s median probe · 1 sample

        carried forward — no gram of this class reported in the latest aggregate

      • macOS · ARM64 · Apple GPU · 16 GiB11.4 MiB/s median fetch
        • ollama-host: 4 min 8 s median probe · 1 sample
      • Windows · x86-64 · NVIDIA · 8 GiB7.3 MiB/s median fetch
        • Windows · x86-64 · no GPU · 8 GiB7.3 MiB/s median fetch
          • generation: 1 s median probe · 1 sample
          • ollama-host: 30 min 52 s median probe · 3 samples

          carried forward — no gram of this class reported in the latest aggregate

        • Windows · x86-64 · no GPU · 16 GiB5 MiB/s median fetch

            carried forward — no gram of this class reported in the latest aggregate

          • macOS · ARM64 · Apple GPU · 8 GiB9 MiB/s median fetch
            • ollama-host: 28 min 57 s median probe · 2 samples
          • Linux · x86-64 · NVIDIA · 32 GiB127.9 MiB/s median fetch
            • speech-pod: 44 s median probe · 1 sample
            • generation: 2 min 45 s median probe · 1 sample
            • ollama-host: 1 h 27 min median probe · 1 sample
          • Linux · x86-64 · no GPU · 32 GiB114.4 MiB/s median fetch

            cost is operational: medians of node-reported pull/probe clocks per hardware class and engine, with sample counts. It is not a measurement of any model and is never ranked.

            what the network actually used
            • gemma4:e2b235.5k tokens served
            • hf.co/unsloth/gemma-4-E2B-it-GGUF:Q4_K_M228.6k tokens served
            • claude-haiku-4-5189.3k tokens served
            • hf.co/unsloth/Qwen3-4B-GGUF:IQ3_XXS152.6k tokens served
            • hf.co/unsloth/Qwen3-4B-GGUF:IQ1_S127.6k tokens served
            • hf.co/QuantFactory/OpenHathi-7B-Hi-v0.1-Base-GGUF:Q4_K_M105.3k tokens served
            • hf.co/Qwen/Qwen2.5-0.5B-Instruct-GGUF:Q4_K_M91.3k tokens served
            • hf.co/unsloth/Phi-4-mini-reasoning-GGUF:IQ1_S85.3k tokens served
            • hf.co/Qwen/Qwen2.5-0.5B-Instruct-GGUF:q4_k_m77.7k tokens served
            • llama3.2:1b71.6k tokens served
            • hf.co/unsloth/Qwen3.5-0.8B-GGUF:Q4_K_M46.8k tokens served
            • hf.co/Qwen/Qwen3-4B-GGUF:Q5_041.8k tokens served

            demand is tokens produced per artifact per class, from signed throughput observations; it orders depth, never existence.

            Every number is a signed measurement or a count of them. grams is how many distinct nodes contributed: a verified floor, not a complete account. Lineage (publisher, attribution, base, cohort, rung) is from the catalog and is not a measurement.

            grams and classes are what THIS window heard from; coverage, refusals, cost and demand carry across windows, because a gram going to sleep does not unmake what it measured.

            The season file → All seasons →