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aientity · corroborated across sources

qwen3.8-27b

for ml researchers, ai startup founders

Steady

7

signal score

🔗 2

independent sources

8

live items

↓ Cooling

7-day est. ~11

githubhuggingface

Why this scored 7

every term, weighted
Velocity+5.7 / 40 max

Its fastest-moving item, measured against the pace of its own source

Acceleration+12.3 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+12.5 / 25 max

How many independent communities its own items come from

Recency+0.5 / 10 max

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty−23.6 / 30 max

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite7.4

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

medium confidence · estimate, not a guarantee

7-day

~11

range 0–29

14-day

~0

range 0–20

30-day

~0

range 0–0

Signal history

7-day window (free)

— — projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 139

    Qwen3.8-27B - Release Day Demos

    Qwen 3.8-27B demos showcase capabilities of the new large language model. — for ML engineers

    lobstersaiEmerging🔗 3 · qwen3.8-27b12d ago
  2. 232

    I gave Qwen 3.8 27B a reverse-engineering job and it finished in 30 minutes

    Model quickly reverse-engineered code, indicating strong reasoning capabilities. — for ml engineers, ai researchers

    hackernewsaiSteady🔗 3 · qwen3.8-27b4d ago
  3. 329

    Qwen3.8-27B

    Introduces a new 27B parameter language model for large-scale AI tasks. — for ml engineers

    hackernewsaiSteady🔗 2 · qwen3.8-27b13d ago
  4. 428

    Qwen3.8 27B scores 52 on Artificial Analysis

    Qwen3.8 27B reaches 52 on Artificial Analysis, showing its current capability level. — for ml engineers, ai researchers

    hackernewsaiSteady🔗 2 · qwen3.8-27b10d ago
  5. 521

    EschaLabs/Qwen3.8-27B-Escha-W2 (text-generation)

    EschaLabs releases 27B Qwen model with 2-bit quantization for efficient local inference. — for AI engineers, ML startup founders

    huggingfaceaiSteady🔗 2 · qwen3.8-27b−8 saturated2d ago
  6. 621

    empero-ai/Qwen3.8-27B-Ridge-GGUF (image-text-to-text)

    Quantized Qwen 3.8B model in GGUF format speeds up image-text inference. — for ML engineers, AI startup founders

    huggingfaceaiSteady🔗 3 · qwen3.8-27b−11 saturated9d ago
  7. 717

    orcarouter/Qwen3.8-27B-Uncensored (image-text-to-text)

    The open-source Qwen 3.8B uncensored model adds image-to-text capability for multimodal projects. — for ml researchers, ai startup founders

    huggingfaceaiSteady🔗 2 · qwen3.8-27b−11 saturated3d ago
  8. 815

    DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF (image-text-to-text)

    New Qwen 3.8-27B checkpoint released for image-text generation in GGUF format. — for ml engineers, research scientists

    huggingfaceaiSteady🔗 2 · qwen3.8-27b−12 saturated6d ago
  9. 914

    orcarouter/Qwen3.8-27B-Uncensored-FP8 (image-text-to-text)

    Qwen 3.8B FP8 model released for image-text-to-text tasks with safetensors support. — for ml engineers, ai researchers

    huggingfaceaiSteady🔗 2 · qwen3.8-27b−17 saturated11d ago
  10. 1014

    HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF (image-text-to-text)

    Uncensored Qwen 3.8B with aggressive MTP quantization targets multimodal applications. — for AI researchers, multimodal app developers

    huggingfaceaiSteady🔗 2 · qwen3.8-27b−13 saturated9d ago
  11. 1112

    orcarouter/Qwen3.8-27B-Uncensored-GGUF (image-text-to-text)

    Publishes uncensored Qwen 3.8B model in GGUF format for local inference. — for AI engineers, ML developers

    huggingfaceaiSteady🔗 2 · qwen3.8-27b−14 saturated8d ago
  12. 1210

    qwen38-27b-rtx3090 — Qwen3.8-27B on a single RTX 3090 with vLLM: ~1,000 tok/s at 64 concurrent (int8 tensor-core GEMMs, fp16 DeltaNet state)

    Single RTX 3090 runs Qwen3.8-27B at ~1k tokens/s, enabling affordable local LLM inference. — for ml engineers, devops

    githubaiSteady🔗 2 · qwen3.8-27b−16 saturated4d ago
  13. 138

    AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16 (text-generation)

    Qwen 3.8 27B model released with BF16 weights for high-quality text generation. — for AI researchers, LLM developers

    huggingfaceaiSteady−8 saturated7d ago
  14. 144

    unsloth/Qwen3.8-27B-NVFP4

    New compressed Qwen 3.8B model format reduces memory for large language model deployment. — for ML engineers

    huggingfaceaiSteady−11 saturated12d ago
  15. 153

    unsloth/Qwen3.8-27B-GGUF

    Community releases GGUF format for Qwen 3.8 27B model. — for llm deployers

    huggingfaceaiSteady🔗 2 · qwen3.8-27b−21 saturated13d ago
  16. 160

    Qwen/Qwen3.8-27B (image-text-to-text)

    Qwen 3.8 27B now supports image-to-text generation. — for multimodal ai engineers

    huggingfaceaiSteady🔗 2 · qwen3.8-27b−25 saturated13d ago