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[Docs] Add Kimi-K2.6 NVFP4 and update Kimi-K2.5 cookbook guidance (#27714)

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Signed-off-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>
This commit is contained in:
Mohammad Miadh Angkad
2026-06-10 10:24:09 -07:00
committed by GitHub
parent 0ae27405d0
commit 276c98c6cf
4 changed files with 198 additions and 38 deletions
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docs_new/cookbook/autoregressive/Moonshotai/Kimi-K2.5.mdx
+11 -9
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@@ -37,7 +37,7 @@ import { KimiK25Deployment } from '/src/snippets/autoregressive/kimi-k25-deploym
### 3.2 Configuration Tips
- **Memory**: Requires GPUs with >=140GB each. Supported platforms: H200 (8x, TP=8), B300 (8x, TP=8), MI300X/MI325X (4x, TP=4), MI350X/MI355X (4x, TP=4). Use `--context-length 128000` to conserve memory.
- **Memory**: Requires GPUs with >=140GB each. Supported platforms: H200 (8x, TP=8), B300 (8x, TP=8), GB300 (4x, TP=4), MI300X/MI325X (4x, TP=4), MI350X/MI355X (4x, TP=4). Use `--context-length 128000` to conserve memory.
- **AMD GPU TP Constraint**: On AMD GPUs, TP must be &lt;= 4 (not 8). Kimi-K2.5 has 64 attention heads; the AITER MLA kernel requires `heads_per_gpu % 16 == 0`. With TP=4, each GPU gets 16 heads (valid). With TP=8, each GPU gets 8 heads (invalid).
- **AMD Docker Image**: Use `lmsysorg/sglang:v0.5.9-rocm700-mi35x` for MI350X/MI355X and `lmsysorg/sglang:v0.5.9-rocm700-mi30x` for MI300X/MI325X. The ROCm 7.2 images (`rocm720`) have an AITER compatibility issue.
- **DP Attention**: Enable with `--dp <N> --enable-dp-attention` for production throughput. A common choice is to set `--dp` equal to `--tp`, but this is not required.
@@ -440,10 +440,10 @@ Let me search for this product and similar items:
**Nvidia**
Deploy Kimi-K2.5 with the following command (H200/B200, all features enabled):
Deploy Kimi-K2.5 with the following command (H200/B300, all features enabled):
```shell Command
SGLANG_ENABLE_SPEC_V2=1 sglang serve \
sglang serve \
--model-path moonshotai/Kimi-K2.5 \
--tp 8 \
--reasoning-parser kimi_k2 \
@@ -452,16 +452,16 @@ SGLANG_ENABLE_SPEC_V2=1 sglang serve \
--speculative-num-steps 3 \
--speculative-eagle-topk 1 \
--speculative-num-draft-tokens 4 \
--speculative-draft-model-path lightseekorg/kimi-k2.5-eagle3 \
--speculative-draft-model-path lightseekorg/kimi-k2.5-eagle3-mla \
--trust-remote-code \
--host 0.0.0.0 \
--port 30000
```
Deploy Kimi-K2.5-NVFP4 with the following command (B200, all features enabled):
Deploy Kimi-K2.5-NVFP4 with the following command (B300, all features enabled):
```shell Command
SGLANG_ENABLE_SPEC_V2=1 sglang serve \
sglang serve \
--model-path nvidia/Kimi-K2.5-NVFP4 \
--tp 8 \
--reasoning-parser kimi_k2 \
@@ -471,12 +471,14 @@ SGLANG_ENABLE_SPEC_V2=1 sglang serve \
--speculative-num-steps 3 \
--speculative-eagle-topk 1 \
--speculative-num-draft-tokens 4 \
--speculative-draft-model-path lightseekorg/kimi-k2.5-eagle3 \
--speculative-draft-model-path lightseekorg/kimi-k2.5-eagle3-mla \
--trust-remote-code \
--host 0.0.0.0 \
--port 30000
```
For GB300, use `--tp 4`.
## 5. Benchmark
### 5.1 Accuracy Benchmark
@@ -1029,7 +1031,7 @@ Max ITL (ms): 7778.47
- **Model Deployment:**
```bash Command
SGLANG_ENABLE_SPEC_V2=1 sglang serve \
sglang serve \
--model-path moonshotai/Kimi-K2.5 \
--tp 8 \
--reasoning-parser kimi_k2 \
@@ -1038,7 +1040,7 @@ SGLANG_ENABLE_SPEC_V2=1 sglang serve \
--speculative-num-steps 3 \
--speculative-eagle-topk 1 \
--speculative-num-draft-tokens 4 \
--speculative-draft-model-path lightseekorg/kimi-k2.5-eagle3 \
--speculative-draft-model-path lightseekorg/kimi-k2.5-eagle3-mla \
--trust-remote-code \
--host 0.0.0.0 \
--port 30000
docs_new/cookbook/autoregressive/Moonshotai/Kimi-K2.6.mdx
+88 -2
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@@ -66,7 +66,12 @@ tag: NEW
- Thinking Mode: `temperature=1.0`, `top_p=0.95`
- Instant Mode: `temperature=0.6`, `top_p=0.95`
**License:** Modified MIT
**Available Models:**
- **INT4 (native checkpoint)**: [moonshotai/Kimi-K2.6](https://huggingface.co/moonshotai/Kimi-K2.6)
- **NVFP4 (4-bit quantized, NVIDIA Blackwell)**: [nvidia/Kimi-K2.6-NVFP4](https://huggingface.co/nvidia/Kimi-K2.6-NVFP4)
**License:** Modified MIT for the native checkpoint. The NVIDIA NVFP4 checkpoint is governed by the [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).
For details, see [official documentation](https://huggingface.co/moonshotai/Kimi-K2.6) and [tech blog](https://kimi.com/blog/kimi-k2-6).
@@ -86,7 +91,8 @@ import { KimiK26Deployment } from '/src/snippets/autoregressive/kimi-k26-deploym
### 3.2 Configuration Tips
- **Memory**: Requires GPUs with ≥140GB each. Supported platforms: H200 (8×, TP=8), B200 (8×, TP=8), B300 (8×, TP=8), GB200 (4×, TP=4), GB300 (4×, TP=4), MI300X/MI325X (4×, TP=4), MI350X/MI355X (4×, TP=4). Use `--context-length 128000` to conserve memory.
- **Memory**: Requires GPUs with ≥140GB each. The native INT4 checkpoint supports H200 (8×, TP=8), B300 (8×, TP=8), GB300 (4×, TP=4), MI300X/MI325X (4×, TP=4), and MI350X/MI355X (4×, TP=4). Use `--context-length 128000` to conserve memory.
- **NVFP4**: Use `nvidia/Kimi-K2.6-NVFP4` with `--quantization modelopt_fp4` on NVIDIA Blackwell. Use `tp=8` on B300 and `tp=4` on GB300.
- **AMD GPU TP Constraint**: On AMD GPUs, TP must be ≤ 4 (not 8). Kimi-K2.6 has 64 attention heads; the AITER MLA kernel requires `heads_per_gpu % 16 == 0`. With TP=4, each GPU gets 16 heads (valid). With TP=8, each GPU gets 8 heads (invalid).
- **AMD Docker Image**: Use `lmsysorg/sglang:v0.5.9-rocm700-mi35x` for MI350X/MI355X and `lmsysorg/sglang:v0.5.9-rocm700-mi30x` for MI300X/MI325X.
- **DP Attention**: Enable with `--dp <N> --enable-dp-attention` for production throughput. A common choice is to set `--dp` equal to `--tp`, but this is not required.
@@ -469,6 +475,48 @@ Let me search for this product and similar items for you.
Arguments: {"query":"Auntie Anne's Cinnamon Sugar Pretzel"}
```
#### 4.2.5 Speculative Decoding
**NVIDIA**
Deploy Kimi-K2.6 with the following command (H200/B300, all features enabled):
```shell Command
sglang serve \
--model-path moonshotai/Kimi-K2.6 \
--tp 8 \
--reasoning-parser kimi_k2 \
--tool-call-parser kimi_k2 \
--speculative-algorithm EAGLE3 \
--speculative-num-steps 3 \
--speculative-eagle-topk 1 \
--speculative-num-draft-tokens 4 \
--speculative-draft-model-path lightseekorg/kimi-k2.6-eagle3.1-mla \
--trust-remote-code \
--host 0.0.0.0 \
--port 30000
```
Deploy Kimi-K2.6-NVFP4 with the following command (B300, all features enabled):
```shell Command
sglang serve \
--model-path nvidia/Kimi-K2.6-NVFP4 \
--tp 8 \
--quantization modelopt_fp4 \
--reasoning-parser kimi_k2 \
--tool-call-parser kimi_k2 \
--speculative-algorithm EAGLE3 \
--speculative-num-steps 3 \
--speculative-eagle-topk 1 \
--speculative-num-draft-tokens 4 \
--speculative-draft-model-path lightseekorg/kimi-k2.6-eagle3.1-mla \
--trust-remote-code \
--host 0.0.0.0 \
--port 30000
```
For GB300, use `--tp 4`.
## 5. Benchmark
@@ -483,6 +531,44 @@ Let me search for this product and similar items for you.
- Reasoning Parser: `kimi_k2`
- Tool Call Parser: `kimi_k2`
#### NVIDIA NVFP4 Accuracy Reference
NVIDIA reports the following accuracy results for `nvidia/Kimi-K2.6-NVFP4` compared with the native INT4 baseline, using `temperature=1.0`, `top_p=0.95`, and max tokens 128,000:
<table>
<thead>
<tr>
<th>Precision</th>
<th>GPQA Diamond</th>
<th>SciCode</th>
<th>τ²-Bench Telecom</th>
<th>MMMU Pro</th>
<th>AA-LCR</th>
<th>IFBench</th>
</tr>
</thead>
<tbody>
<tr>
<td>Baseline (INT4)</td>
<td>90.9</td>
<td>52.6</td>
<td>98.2</td>
<td>75.6</td>
<td>71.0</td>
<td>73.9</td>
</tr>
<tr>
<td>NVFP4</td>
<td>90.4</td>
<td>54.4</td>
<td>98.0</td>
<td>76.5</td>
<td>71.8</td>
<td>73.9</td>
</tr>
</tbody>
</table>
#### 5.1.1 K2-Vendor-Verifier (Tool Calling)
- Dataset: [K2-Vendor-Verifier](https://github.com/MoonshotAI/K2-Vendor-Verifier) tool-calls dataset (2,000 requests)
docs_new/src/snippets/autoregressive/kimi-k25-deployment.jsx
+18 -20
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@@ -4,13 +4,14 @@ export const KimiK25Deployment = () => {
// GPU requirements:
// H200: tp=8
// B300: tp=8
// GB300: tp=4
// MI300X: tp=4 (64 heads / 4 = 16 heads per GPU, AITER MLA requires heads_per_gpu % 16 == 0)
// MI325X: tp=4 (same constraint as MI300X)
// MI350X: tp=4 (same constraint as MI300X)
// MI355X: tp=4 (same constraint as MI300X)
//
// NVFP4 quantization is only supported on NVIDIA Blackwell (B300).
// Speculative decoding is only supported on H200 and B300.
// NVFP4 quantization is only supported on NVIDIA Blackwell (B300/GB300).
// Speculative decoding is only supported on H200, B300, and GB300.
const options = {
hardware: {
name: 'hardware',
@@ -18,6 +19,7 @@ export const KimiK25Deployment = () => {
items: [
{ id: 'h200', label: 'H200', default: true },
{ id: 'b300', label: 'B300', default: false },
{ id: 'gb300', label: 'GB300', default: false },
{ id: 'mi300x', label: 'MI300X', default: false },
{ id: 'mi325x', label: 'MI325X', default: false },
{ id: 'mi350x', label: 'MI350X', default: false },
@@ -29,10 +31,10 @@ export const KimiK25Deployment = () => {
title: 'Quantization',
getDynamicItems: (values) => {
const hw = values.hardware;
const isB300 = hw === 'b300';
const isBlackwell = hw === 'b300' || hw === 'gb300';
return [
{ id: 'int4', label: 'INT4', subtitle: 'initial model', default: true },
{ id: 'nvfp4', label: 'NVFP4', subtitle: 'Blackwell only', default: false, disabled: !isB300, disabledReason: 'NVFP4 only on B300' }
{ id: 'nvfp4', label: 'NVFP4', subtitle: 'Blackwell only', default: false, disabled: !isBlackwell, disabledReason: 'NVFP4 only on B300/GB300' }
];
}
},
@@ -63,7 +65,7 @@ export const KimiK25Deployment = () => {
speculative: {
name: 'speculative',
title: 'Speculative Decoding',
condition: (values) => values.hardware === 'h200' || values.hardware === 'b300',
condition: (values) => values.hardware === 'h200' || values.hardware === 'b300' || values.hardware === 'gb300',
items: [
{ id: 'disabled', label: 'Disabled', default: true },
{ id: 'enabled', label: 'Enabled', default: false }
@@ -74,6 +76,7 @@ export const KimiK25Deployment = () => {
const modelConfigs = {
h200: { tp: 8 },
b300: { tp: 8 },
gb300: { tp: 4 },
mi300x: { tp: 4 },
mi325x: { tp: 4 },
mi350x: { tp: 4 },
@@ -112,7 +115,7 @@ export const KimiK25Deployment = () => {
return () => observer.disconnect();
}, []);
// When hardware changes, re-resolve quantization defaults (NVFP4 only on B300).
// When hardware changes, re-resolve quantization defaults (NVFP4 only on B300/GB300).
useEffect(() => {
setValues(prev => {
const next = { ...prev };
@@ -138,14 +141,14 @@ export const KimiK25Deployment = () => {
const { hardware, quantization, speculative } = values;
const isAMD = hardware === 'mi300x' || hardware === 'mi325x' || hardware === 'mi350x' || hardware === 'mi355x';
// NVFP4 is only supported on NVIDIA Blackwell (B300)
if (quantization === 'nvfp4' && hardware !== 'b300') {
return '# NVFP4 quantization is only supported on NVIDIA Blackwell GPUs (B300)';
// NVFP4 is only supported on NVIDIA Blackwell (B300/GB300)
if (quantization === 'nvfp4' && hardware !== 'b300' && hardware !== 'gb300') {
return '# NVFP4 quantization is only supported on NVIDIA Blackwell GPUs (B300/GB300)';
}
// Speculative decoding only supported on H200 and B300
if (speculative === 'enabled' && hardware !== 'h200' && hardware !== 'b300') {
return '# Speculative Decoding for Kimi-K2.5 is only supported on H200 and B300';
// Speculative decoding only supported on H200, B300, and GB300
if (speculative === 'enabled' && hardware !== 'h200' && hardware !== 'b300' && hardware !== 'gb300') {
return '# Speculative Decoding for Kimi-K2.5 is only supported on H200, B300, and GB300';
}
// Model path depends on quantization
@@ -163,13 +166,8 @@ export const KimiK25Deployment = () => {
cmd += 'SGLANG_USE_AITER=1 SGLANG_ROCM_FUSED_DECODE_MLA=0 ';
}
// Speculative decoding env var
if (speculative === 'enabled') {
cmd += 'SGLANG_ENABLE_SPEC_V2=1 ';
}
// If we added any env vars above, break to a new line for readability
if (isAMD || speculative === 'enabled') {
if (isAMD) {
cmd += '\\\n';
}
@@ -198,8 +196,8 @@ export const KimiK25Deployment = () => {
cmd += ' \\\n --speculative-algorithm EAGLE3 \\\n --speculative-num-steps 3 \\\n --speculative-eagle-topk 1 \\\n --speculative-num-draft-tokens 4 \\\n --speculative-draft-model-path lightseekorg/kimi-k2.5-eagle3-mla';
}
// Blackwell (B300): tokenspeed MLA attention backend
if (hardware === 'b300') {
// Blackwell (B300/GB300): tokenspeed MLA attention backend
if (hardware === 'b300' || hardware === 'gb300') {
cmd += ' \\\n --attention-backend tokenspeed_mla';
}
docs_new/src/snippets/autoregressive/kimi-k26-deployment.jsx
+81 -7
View File
@@ -1,14 +1,20 @@
export const KimiK26Deployment = () => {
// Config mirrors sgl-cookbook src/components/autoregressive/KimiK26ConfigGenerator/index.js.
//
// INT4:
// H200/B300: tp=8
// GB300/AMD: tp=4
//
// NVFP4:
// B300: tp=8
// GB300: tp=4
const options = {
hardware: {
name: 'hardware',
title: 'Hardware Platform',
items: [
{ id: 'h200', label: 'H200', default: true },
{ id: 'b200', label: 'B200', default: false },
{ id: 'b300', label: 'B300', default: false },
{ id: 'gb200', label: 'GB200', default: false },
{ id: 'gb300', label: 'GB300', default: false },
{ id: 'mi300x', label: 'MI300X', default: false },
{ id: 'mi325x', label: 'MI325X', default: false },
@@ -16,6 +22,18 @@ export const KimiK26Deployment = () => {
{ id: 'mi355x', label: 'MI355X', default: false },
],
},
quantization: {
name: 'quantization',
title: 'Quantization',
getDynamicItems: (values) => {
const hw = values.hardware;
const isBlackwell = ['b300', 'gb300'].includes(hw);
return [
{ id: 'int4', label: 'INT4', subtitle: 'Base checkpoint', default: !isBlackwell },
{ id: 'nvfp4', label: 'NVFP4', subtitle: 'Blackwell FP4', default: isBlackwell, disabled: !isBlackwell, disabledReason: !isBlackwell ? 'NVFP4 only on NVIDIA Blackwell' : '' },
];
},
},
reasoning: {
name: 'reasoning',
title: 'Reasoning Parser',
@@ -40,13 +58,20 @@ export const KimiK26Deployment = () => {
{ id: 'enabled', label: 'Enabled', subtitle: 'High Throughput', default: false },
],
},
speculative: {
name: 'speculative',
title: 'Speculative Decoding',
condition: (values) => !['mi300x', 'mi325x', 'mi350x', 'mi355x'].includes(values.hardware),
items: [
{ id: 'disabled', label: 'Disabled', default: true },
{ id: 'enabled', label: 'Enabled', default: false },
],
},
};
const modelConfigs = {
h200: { tp: 8 },
b200: { tp: 8 },
b300: { tp: 8 },
gb200: { tp: 4 },
gb300: { tp: 4 },
mi300x: { tp: 4 },
mi325x: { tp: 4 },
@@ -54,6 +79,11 @@ export const KimiK26Deployment = () => {
mi355x: { tp: 4 },
};
const nvfp4ModelConfigs = {
b300: { tp: 8 },
gb300: { tp: 4 },
};
const resolveItems = (option, values) =>
typeof option.getDynamicItems === 'function' ? option.getDynamicItems(values) : option.items || [];
@@ -89,15 +119,43 @@ export const KimiK26Deployment = () => {
return () => observer.disconnect();
}, []);
useEffect(() => {
setValues((prev) => {
const next = { ...prev };
for (const [key, option] of Object.entries(options)) {
if (typeof option.condition === 'function' && !option.condition(next)) {
const items = resolveItems(option, next);
const fallback = items.find((item) => item.default && !item.disabled) || items.find((item) => !item.disabled);
if (fallback) next[key] = fallback.id;
continue;
}
if (typeof option.getDynamicItems !== 'function') continue;
const items = option.getDynamicItems(next);
const current = items.find((item) => item.id === next[key]);
if (!current || current.disabled) {
const fallback = items.find((item) => item.default && !item.disabled) || items.find((item) => !item.disabled);
if (fallback) next[key] = fallback.id;
}
}
return next;
});
}, [values.hardware]);
const handleRadioChange = (optionName, value) => {
setValues((prev) => ({ ...prev, [optionName]: value }));
};
const generateCommand = () => {
const { hardware, reasoning, toolcall, dpattention } = values;
const { hardware, quantization, reasoning, toolcall, dpattention, speculative } = values;
const isAMD = hardware === 'mi300x' || hardware === 'mi325x' || hardware === 'mi350x' || hardware === 'mi355x';
const hwConfig = modelConfigs[hardware];
const isNVFP4 = quantization === 'nvfp4';
const hwConfig = isNVFP4 ? nvfp4ModelConfigs[hardware] : modelConfigs[hardware];
if (!hwConfig) return '# NVFP4 is only supported on NVIDIA Blackwell hardware.';
if (speculative === 'enabled' && isAMD) {
return '# Speculative Decoding for Kimi-K2.6 is only supported on NVIDIA GPUs (H200/B300/GB300)';
}
const tpValue = hwConfig.tp;
const modelName = isNVFP4 ? 'nvidia/Kimi-K2.6-NVFP4' : 'moonshotai/Kimi-K2.6';
let cmd = '';
@@ -106,8 +164,11 @@ export const KimiK26Deployment = () => {
}
cmd += 'sglang serve \\\n';
cmd += ' --model-path moonshotai/Kimi-K2.6';
cmd += ` --model-path ${modelName}`;
cmd += ` \\\n --tp ${tpValue}`;
if (isNVFP4) {
cmd += ' \\\n --quantization modelopt_fp4';
}
if (isAMD) {
cmd += ' \\\n --mem-fraction-static 0.8';
}
@@ -125,6 +186,18 @@ export const KimiK26Deployment = () => {
cmd += ' \\\n --tool-call-parser kimi_k2';
}
if (speculative === 'enabled') {
cmd += ' \\\n --speculative-algorithm EAGLE3';
cmd += ' \\\n --speculative-num-steps 3';
cmd += ' \\\n --speculative-eagle-topk 1';
cmd += ' \\\n --speculative-num-draft-tokens 4';
cmd += ' \\\n --speculative-draft-model-path lightseekorg/kimi-k2.6-eagle3.1-mla';
}
if (hardware === 'b300' || hardware === 'gb300') {
cmd += ' \\\n --attention-backend tokenspeed_mla';
}
if (isAMD) {
cmd += ' \\\n --kv-cache-dtype fp8_e4m3';
}
@@ -146,6 +219,7 @@ export const KimiK26Deployment = () => {
return (
<div style={containerStyle} className="not-prose">
{Object.entries(options).map(([key, option]) => {
if (typeof option.condition === 'function' && !option.condition(values)) return null;
const items = resolveItems(option, values);
return (
<div key={key} style={cardStyle}>