docs: simplify Modular MAX README
This commit is contained in:
@@ -35,7 +35,6 @@ Source image: `~/pic.jpg`, committed as
|
||||
| Check pods and memory | `curl https://podman.live/api/pods && curl https://podman.live/api/memory/stats` |
|
||||
| Use the LLM externally | Base URL `https://llm.alhinai.dev/v1`, model `gemma-4-31B-it` |
|
||||
| Test Hermes | `hermes -z 'Reply with exactly: working' --provider gemma4-31b-max --model gemma-4-31B-it` |
|
||||
| Gemma 4 bring-up | Modular/MAX lab at `/home/alhinai/modular-lab` |
|
||||
| Start local development | API, vision agent, and frontend commands are in [Local Development](#local-development) |
|
||||
| Debug production | Public checks first, then systemd services in [Production Operations](#production-operations) |
|
||||
|
||||
@@ -50,7 +49,6 @@ Source image: `~/pic.jpg`, committed as
|
||||
| Health | `https://podman.live/health` | Backend readiness |
|
||||
| Local API | `127.0.0.1:8787` | Express service behind Caddy |
|
||||
| Reasoning LLM | `https://llm.alhinai.dev/v1` | OpenAI-compatible Modular/MAX endpoint |
|
||||
| Gemma MAX lab | `/home/alhinai/modular-lab` | Modular/MAX bring-up path for Gemma 4 |
|
||||
| API key | `not-needed` | Placeholder key for OpenAI clients |
|
||||
| Hermes model | `gemma-4-31B-it` | 262K-context tool-using agent |
|
||||
| Hermes config | `gemma4-31b-max` | Custom provider used by Hermes locally |
|
||||
@@ -83,9 +81,7 @@ flowchart TB
|
||||
|
||||
subgraph Reasoning["External Reasoning Endpoint"]
|
||||
Tunnel["Cloudflare Tunnel<br/>llm.alhinai.dev"]
|
||||
MaxLab["Modular MAX Lab<br/>/home/alhinai/modular-lab"]
|
||||
MaxServe["MAX OpenAI Server<br/>gemma-4-31B-it<br/>262144 context"]
|
||||
MaxTest["MAX test port<br/>127.0.0.1:8001"]
|
||||
Hermes["Hermes Agent<br/>provider: gemma4-31b-max"]
|
||||
end
|
||||
|
||||
@@ -104,8 +100,6 @@ flowchart TB
|
||||
Vision --> GeminiEmbed
|
||||
Voice --> GeminiEmbed
|
||||
Ops --> Hermes --> Tunnel --> MaxServe
|
||||
MaxLab --> MaxTest
|
||||
MaxTest -. "validated Gemma 4<br/>staging path" .-> MaxServe
|
||||
Tunnel -. "public route<br/>llm.alhinai.dev/v1" .-> MaxServe
|
||||
API --> Hermes
|
||||
Lyria --> Voice
|
||||
@@ -117,7 +111,7 @@ flowchart TB
|
||||
class Browser,Room user;
|
||||
class Caddy,API,Vision,Voice,Ops app;
|
||||
class Observations,State,Outcomes data;
|
||||
class GeminiVision,GeminiVoice,GeminiEmbed,Lyria,Tunnel,MaxLab,MaxServe,MaxTest,Hermes ai;
|
||||
class GeminiVision,GeminiVoice,GeminiEmbed,Lyria,Tunnel,MaxServe,Hermes ai;
|
||||
```
|
||||
|
||||
## What It Does
|
||||
@@ -160,9 +154,7 @@ flowchart LR
|
||||
VisionRoute --> Gemini20["gemini-2.0-flash<br/>screen understanding"]
|
||||
ConversationRoute --> GeminiLive["gemini-3.1-flash-live-preview<br/>live Q&A"]
|
||||
ConversationRoute --> GeminiTTS["gemini-3.1-flash-tts-preview<br/>urgent speech"]
|
||||
HermesRoute --> Gemma["gemma-4-31B-it<br/>public serving via Modular MAX"]
|
||||
HermesRoute --> Max["Modular MAX lab<br/>GB10 Gemma 4 validation"]
|
||||
Max -. "test on :8001<br/>promote to public endpoint" .-> Gemma
|
||||
HermesRoute --> Gemma["gemma-4-31B-it<br/>served by Modular MAX"]
|
||||
EmbedRoute --> Voyage["voyage-4-lite<br/>primary embeddings"]
|
||||
EmbedRoute --> GeminiEmbed["gemini-embedding-001<br/>fallback embeddings"]
|
||||
MusicRoute --> Lyria["lyria-3-clip-preview<br/>background music"]
|
||||
@@ -172,7 +164,7 @@ flowchart LR
|
||||
classDef model fill:#f4edff,stroke:#805ad5,color:#2d1857;
|
||||
class Work,VoiceInput,OpsNeed,MemoryNeed,Ambient signal;
|
||||
class VisionRoute,ConversationRoute,HermesRoute,EmbedRoute,MusicRoute route;
|
||||
class Gemini20,GeminiLive,GeminiTTS,Gemma,Max,Voyage,GeminiEmbed,Lyria model;
|
||||
class Gemini20,GeminiLive,GeminiTTS,Gemma,Voyage,GeminiEmbed,Lyria model;
|
||||
```
|
||||
|
||||
### Gemma 4 31B via Modular MAX
|
||||
@@ -225,44 +217,9 @@ Why this matters: Hermes sends OpenAI tool schemas and `tool_choice: "auto"`.
|
||||
The model endpoint must support automatic tool choice so Hermes can initialize
|
||||
the agent without a client-side workaround.
|
||||
|
||||
### Modular MAX for Gemma 4
|
||||
### Modular MAX
|
||||
|
||||
The GB10 box uses a working Modular/MAX lab as the Gemma 4 bring-up,
|
||||
validation, and serving path. Run MAX on `8001` for testing, then promote it to
|
||||
the public endpoint when ready.
|
||||
|
||||
Installed local Codex skills:
|
||||
|
||||
```text
|
||||
/home/alhinai/.codex/skills/new-modular-project
|
||||
/home/alhinai/.codex/skills/mojo-syntax
|
||||
/home/alhinai/.codex/skills/mojo-gpu-fundamentals
|
||||
/home/alhinai/.codex/skills/mojo-python-interop
|
||||
/home/alhinai/.codex/skills/import-model
|
||||
/home/alhinai/.codex/skills/debug-model
|
||||
/home/alhinai/.codex/skills/profile-model
|
||||
```
|
||||
|
||||
Restart Codex after installing or changing those skills so they are picked up.
|
||||
|
||||
Working lab:
|
||||
|
||||
```bash
|
||||
cd /home/alhinai/modular-lab
|
||||
uv run mojo --version
|
||||
uv run max --version
|
||||
uv run mojo hello.mojo
|
||||
```
|
||||
|
||||
Verified output includes:
|
||||
|
||||
```text
|
||||
Mojo 1.0.0b3.dev2026062806
|
||||
MAX 26.5.0.dev2026062806
|
||||
hello from Mojo on spark
|
||||
```
|
||||
|
||||
Important finding from `max list`:
|
||||
Gemma 4 is served through Modular MAX on the GB10 machine.
|
||||
|
||||
| MAX support | Value |
|
||||
| ------------ | ---------------------------------------- |
|
||||
@@ -270,54 +227,12 @@ Important finding from `max list`:
|
||||
| Example | `google/gemma-4-31B-it` |
|
||||
| Encodings | `float4_e2m1fnx2`, `float16`, `bfloat16` |
|
||||
|
||||
That means Modular/MAX recognizes the Gemma 4 31B architecture on this GB10
|
||||
machine.
|
||||
|
||||
Do not run two GPU model servers at once. Stop the existing Gemma server before
|
||||
starting another MAX serve process:
|
||||
|
||||
```bash
|
||||
docker stop <current-gemma-container>
|
||||
```
|
||||
|
||||
Then test MAX on a separate port:
|
||||
|
||||
```bash
|
||||
cd /home/alhinai/modular-lab
|
||||
|
||||
uv run max serve \
|
||||
--model /home/alhinai/models/gemma-4-31B-it \
|
||||
--served-model-name gemma-4-31B-it \
|
||||
--devices gpu:0 \
|
||||
--port 8001 \
|
||||
--trust-remote-code \
|
||||
--quantization-encoding bfloat16 \
|
||||
--max-length 262144 \
|
||||
--kv-cache-format float8_e4m3fn \
|
||||
--device-memory-utilization 0.85 \
|
||||
--enable-prefix-caching \
|
||||
--enable-chunked-prefill \
|
||||
--max-batch-size 1 \
|
||||
--max-batch-input-tokens 16384
|
||||
```
|
||||
|
||||
Verify MAX:
|
||||
|
||||
```bash
|
||||
curl http://127.0.0.1:8001/v1/models
|
||||
```
|
||||
|
||||
#### Replace the current Gemma server with Modular/MAX
|
||||
|
||||
If MAX works on `8001`, keep it there for testing until the public serving path
|
||||
is intentionally changed.
|
||||
|
||||
Official resources:
|
||||
|
||||
- [MAX LLM Book](https://llm.modular.com/)
|
||||
- [Model bring-up workflow](https://docs.modular.com/max/develop/model-bringup-workflow/)
|
||||
- [Mojo](https://mojolang.org/)
|
||||
- [Modular skills](https://github.com/modular/skills)
|
||||
| Runtime | Role |
|
||||
| ----------------- | ----------------------------------------- |
|
||||
| Modular MAX | OpenAI-compatible Gemma 4 serving runtime |
|
||||
| `gemma-4-31B-it` | Primary long-context reasoning model |
|
||||
| `262144` tokens | Reported model context window |
|
||||
| `llm.alhinai.dev` | Public Cloudflare-routed model endpoint |
|
||||
|
||||
### Gemini Surfaces
|
||||
|
||||
|
||||
Reference in New Issue
Block a user