jomcgi-org/Qwen3.8-Flash-Next-NVFP4-oominf

AI model by jomcgi-org

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

Qwen3.8-Flash-Next (125B total, 6B active) in the oom-inference weight format, for serving on one 24 GB GPU with 64 GB of RAM. The engine keeps routed experts across VRAM, pinned RAM and NVMe, so the model does not need to fit in memory. This is RadixArk/Qwen3.8-Flash-Next-NVFP4 with its bytes laid out one record per expert. No weight is changed: the NVFP4 routed experts, BF16 dense weights and FP8 n-gram tables are exactly as released. It is only for oominf; it is not a Transformers, Safetensors or GGUF checkpoint. How it works: How to serve 134 GB of model weights with 24 GB VRAM / 64 GB RAM. Measured through oominf serve's OpenAI-compatible API with oomeval, temperature 0, the same items in both oominf columns. Defaults are serve with no flags (fp32 compute, k8v6 KV cache). Max-perf adds --dense fp8 --expert-precision bf16. answers were cut off in both columns, so its…

jomcgi-org/Qwen3.8-Flash-Next-NVFP4-oominf on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-08T08:38:17.331Z

Inside the original model card — Document outline

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

jomcgi-org/Qwen3.8-Flash-Next-NVFP4-oominf is a task-unspecified model repository published by jomcgi-org on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: Not reported
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: Not reported — check the model card
Access: Not gated by Hugging Face
Created: 2026-10-08T06:37:35.000Z
Last modified: 2026-10-08T06:37:35.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-08T06:40:12.812Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source