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11 changes: 7 additions & 4 deletions docs/source/models/supported-models.md
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@ The following is a table of supported models for the PyTorch backend:
| `DeepSeekV2ForCausalLM` [^5] | DeepSeek V2 | `deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct` |
| `DeepseekV3ForCausalLM` | DeepSeek-V3, Kimi-K2 | `deepseek-ai/DeepSeek-V3` |
| `DeepseekV32ForCausalLM` | DeepSeek-V3.2 | `deepseek-ai/DeepSeek-V3.2` |
| `DeepseekV4ForCausalLM` [^11] | DeepSeek-V4 | `deepseek-ai/DeepSeek-V4-Pro` |
| `ExaoneForCausalLM` [^5] | EXAONE 3.5 | `LGAI-EXAONE/EXAONE-3.5-32B-Instruct` |
| `Exaone4ForCausalLM` | EXAONE 4.0 | `LGAI-EXAONE/EXAONE-4.0-32B` |
| `ExaoneMoEForCausalLM` | K-EXAONE | `LGAI-EXAONE/K-EXAONE-236B-A23B` |
Expand All @@ -32,7 +33,7 @@ The following is a table of supported models for the PyTorch backend:
| `LlamaForCausalLM` | Llama 3.1, Llama 3, Llama 2, LLaMA | `meta-llama/Meta-Llama-3.1-70B` |
| `Llama4ForConditionalGeneration` | Llama 4 | `meta-llama/Llama-4-Scout-17B-16E-Instruct` |
| `MiniMaxM2ForCausalLM` [^5] | MiniMax M2/M2.1/M2.7 | `MiniMaxAI/MiniMax-M2.7` |
| `MiniMaxM3SparseForConditionalGeneration` [^11]| MiniMax-M3 | `MiniMaxAI/MiniMax-M3` |
| `MiniMaxM3SparseForConditionalGeneration` [^12]| MiniMax-M3 | `MiniMaxAI/MiniMax-M3` |
| `MistralForCausalLM` | Mistral | `mistralai/Mistral-7B-v0.1` |
| `MixtralForCausalLM` | Mixtral | `mistralai/Mixtral-8x7B-v0.1` |
| `MllamaForConditionalGeneration` | Llama 3.2 | `meta-llama/Llama-3.2-11B-Vision` |
Expand Down Expand Up @@ -63,6 +64,7 @@ Note: Support for other models may vary. Features marked "N/A" are not applicabl
| -------------------------------- | ----------------- | ---------- | -------------------------- | --------------------- | --------------- | --- | ---------------- | ----------------- | ------ | ------------- | ---------------- | -------------- | ------------------------ | --------------------- | --------------- |
| `DeepseekV3ForCausalLM` | Yes | Yes | Yes | Yes | Yes [^1] | Yes | No | No | No | Yes | Yes | Yes [^2] | N/A | Yes | Yes |
| `DeepseekV32ForCausalLM` | Yes | Yes | Yes | Yes | Yes | Yes | No | No | No | Yes | Yes | Yes | N/A | Yes | Yes |
| `DeepseekV4ForCausalLM` [^11] | Yes | Yes | Yes | Untested | Yes | Yes | No | No | No | Yes | Yes | Untested | Yes | Untested | Untested |
| `Glm4MoeForCausalLM` | Yes | Yes | Yes | Untested | Yes | Yes | No | No | No | Yes | Yes | Untested | N/A | Yes | Yes |
| `Qwen3MoeForCausalLM` | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes | No | Yes | Yes | Yes | N/A | Yes | Yes |
| `Qwen3NextForCausalLM` [^3] | Yes | Yes | Yes | Untested | Yes | No | No | No | No | Yes | Yes | No | No | Untested | Untested |
Expand All @@ -73,7 +75,7 @@ Note: Support for other models may vary. Features marked "N/A" are not applicabl
| `NemotronHForCausalLM` | Yes | Yes | Yes | Yes | Yes | Yes | No | No | No | Yes | Yes | Yes | N/A | Untested | Untested |
| `Gemma4ForConditionalGeneration` | Untested | Yes | Untested | No | Yes | No | No | No | No | Yes | Untested | No | Yes | Untested | Untested |
| `Step3p7ForConditionalGeneration`| Yes | Yes | Yes | Untested | Untested | Yes | No | No | No | Yes | Untested | Untested | Yes | Untested | Untested |
| `MiniMaxM3SparseForConditionalGeneration` [^11] | Yes | Yes | Yes | Untested | Untested | No | No | No | No | Yes | Untested | No | N/A | Untested | Untested |
| `MiniMaxM3SparseForConditionalGeneration` [^12] | Yes | Yes | Yes | Untested | Untested | No | No | No | No | Yes | Untested | No | N/A | Untested | Untested |

[^1]: Chunked Prefill for MLA can only be enabled on SM100/SM103.
[^2]: KV cache reuse for MLA can only be enabled on SM90/SM100/SM103 and in BF16/FP8 KV cache dtype.
Expand All @@ -84,7 +86,8 @@ Note: Support for other models may vary. Features marked "N/A" are not applicabl
[^8]: Supports text and image inputs. The vision tower runs in BF16 even when the text decoder is quantized (FP8 block-scale or NVFP4). The text decoder is also usable standalone (text-only) via the `Step3p5ForCausalLM` architecture.
[^9]: Audio modality only supported on E2B/E4B variants.
[^10]: Audio requires a checkpoint with a `sound_config` and is supported only on the full (non-disaggregated) model path, not the EPD disaggregated path.
[^11]: Supports text, image, and video inputs over the block-sparse attention path. The model is served in BF16. The text decoder is also usable standalone (text-only) via the `MiniMaxM3SparseForCausalLM` architecture. KV cache reuse and MTP are not supported on the sparse-attention path in this release.
[^11]: DeepSeek-V4 is only supported on Blackwell GPUs (`SM100+`). See the [DeepSeek-V4 example README](../../../examples/models/core/deepseek_v4/README.md) for setup and parallelism.
[^12]: Supports text, image, and video inputs over the block-sparse attention path. The published MXFP8 checkpoint is dequantized on load so the runtime sees an effectively BF16 model. The text decoder is also usable standalone (text-only) via the `MiniMaxM3SparseForCausalLM` architecture. KV cache reuse and MTP are not supported on the sparse-attention path in this release.

# Multimodal Feature Support Matrix (PyTorch Backend)

Expand All @@ -105,7 +108,7 @@ Note: Support for other models may vary. Features marked "N/A" are not applicabl
| `Qwen3VLForConditionalGeneration` | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | L + I + V |
| `Qwen3VLMoeForConditionalGeneration` | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | L + I + V |
| `Step3p7ForConditionalGeneration` | Yes | Yes | Untested | Yes | Untested | Untested | Untested | Untested | L + I |
| `MiniMaxM3SparseForConditionalGeneration` [^11] | Yes | Yes | Untested | Yes | Untested | No | Untested | Untested | L + I + V |
| `MiniMaxM3SparseForConditionalGeneration` [^12] | Yes | Yes | Untested | Yes | Untested | No | Untested | Untested | L + I + V |

Note:
- L: Language
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