Hy3-295B-A21B-R2fc / README.md
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---
base_model: tencent/Hy3-295B-A21B
library_name: vllm
pipeline_tag: text-generation
license: other
license_name: tencent-hunyuan-community
tags:
- mixture-of-experts
- quantized
- gridbook
- nvfp4
- codebook
- gb10
- sm_121a
- dgx-spark
extra_gated_prompt: >-
This is a preview research build. Access is gated. By requesting access you
acknowledge it is a GB10/sm_121a-specific serving build that requires a custom
vLLM plugin, is not a stock-vLLM checkpoint, and inherits all terms of the base
model tencent/Hy3-295B-A21B.
extra_gated_fields:
Intended use: text
I agree to the base model license terms: checkbox
---
# Hy3-295B-A21B — GB10 / sm_121a single-node build (R2fc)
> **Status: preview, gated.** This card is intentionally minimal. Quantization
> recipe and allocation details are withheld pending an official-release decision.
> Full benchmark numbers and the sm_121a build details will be added when the model is
> officially released. Not optimized for public download.
## What this is
A single-node serving build of **Hy3-295B-A21B** (base: `tencent/Hy3-295B-A21B`) that
fits and serves on **one NVIDIA DGX Spark (GB10, sm_121a, 121 GB unified memory)** under
vLLM. Mixture-of-Experts, 80 transformer layers + 1 MTP head, 8-of-192 routed experts.
- **Resident weights:** ~86.9 GiB
- **Context:** up to ~137k tokens on a single Spark with nothing else resident
(model natively supports 262,144)
- **Target hardware:** NVIDIA GB10 (`sm_121a`). This build's serving kernels are
compiled for `compute_121a` and are **not** portable to other GPUs as-is.
## License
Inherits and preserves the license of the base model `tencent/Hy3-295B-A21B`. All base
license terms and use restrictions apply unchanged. See the base model's license.
## Serving
Serving requires a custom vLLM plugin (codebook-quantized MoE) plus a config overlay —
this is **not** a stock-vLLM-loadable checkpoint. The corrected `config.json` is already
baked into this repo. In brief:
- Image: `ghcr.io/spark-arena/dgx-vllm-eugr-nightly` (sm_121a build)
- Plugin: the `gridbook` codebook-MoE plugin + the load-chain patches (X3/X4)
- Launch: `--quantization gridbook`, `--max-num-batched-tokens 16384`, fp8 KV cache
## Intended use / limitations
Research and evaluation on GB10-class hardware. Chinese-trained MoE base; response-language
behavior follows the base model. Not evaluated for production safety-critical use. Benchmark
numbers are withheld from this preview card by design.
## Provenance
Built 2026-07 for the DGX Spark single-node target. Quantization method, calibration set,
and per-layer allocation are recorded internally and withheld from this preview.