# Use ONE model only: Gemma4 31B

**URL:** <https://onehack.st/t/use-one-model-only-gemma4-31b/324478>\
**Category:** Discussion & Solutions\
**Tags:** solved\
**Created:** [2026 年8 月 6 日 12:33 UTC](https://onehack.st/t/use-one-model-only-gemma4-31b/324478 "2026-08-06T12:33:58Z")\
**Posts on this page:** 9\
**Page:** 1

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作者： ![Vishal\_Jain2](https://onehack.st/user_avatar/onehack.st/vishal_jain2/32/179340_2.png) [@Vishal\_Jain2](https://onehack.st/u/Vishal_Jain2)\
发布日期： [2026 年8 月 6 日 12:33 UTC](https://onehack.st/t/use-one-model-only-gemma4-31b/324478/1 "2026-08-06T12:33:59Z")

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I have a NLP task for which Gemma4 31B is best suited. Using it with Cerebras Cloud works but hits daily limit very quickly and I dont have hardware to deploy locally. Google AI Studio also give up on limits. How can use this model only?

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作者： ![Thesharingmaster](https://onehack.st/user_avatar/onehack.st/thesharingmaster/32/154335_2.png) [@Thesharingmaster](https://onehack.st/u/Thesharingmaster)\
发布日期： [2026 年8 月 6 日 13:04 UTC](https://onehack.st/t/use-one-model-only-gemma4-31b/324478/2 "2026-08-06T13:04:02Z")

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ollama. Its free

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作者： ![Ze380y](https://onehack.st/user_avatar/onehack.st/ze380y/32/48760_2.png) [@Ze380y](https://onehack.st/u/Ze380y)\
发布日期： [2026 年8 月 8 日 08:26 UTC](https://onehack.st/t/use-one-model-only-gemma4-31b/324478/3 "2026-08-08T08:26:06Z")

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![Gemma runs free on many clouds - swap one base_url](https://onehack.st/uploads/default/original/3X/6/8/686efcd31b3af203332bb4b22c2bfc9f068284ee.jpeg)

Gemma is **open-weights** — Cerebras and Google don’t own it, they’re just two hosts among many. That “daily limit” is one provider’s throttle, not the model’s. The same Gemma runs on a dozen clouds behind the **standard chat API** , so you hop hosts by changing **one `base_url`** — and stacked free tiers add up to one big daily quota. (Reply above said Ollama — that’s _local_, which you can’t do; this is all cloud, no GPU.)

### 🔌 The one-line swap — same code, any host

```python
from openai import OpenAI
c = OpenAI(base_url="https://openrouter.ai/api/v1", api_key="YOUR_KEY")
c.chat.completions.create(
    model="google/gemma-3-27b-it:free",
    messages=[{"role": "user", "content": "..."}])

```

↳ change **`base_url` + `api_key` + `model`** → you’re on a different host. Nothing else in your code moves.

### 🗺 Where Gemma runs free (no card) — ranked by daily headroom

| Host | Free / day | `model` | `base_url` |
| --- | --- | --- | --- |
| **Google AI Studio** ⚠ not in EU/UK | ~14,400 req | `gemma-3-27b-it` | `generativelanguage.googleapis.com/v1beta/openai/` |
| ~~**Cerebras**~~ ⚠ card required now | $5 credit, then pay-per-token | `gemma-4-31b` \* | `api.cerebras.ai/v1` |
| **OpenRouter** 🔀 also the rotator | 50 → ~1k req † | `google/gemma-3-27b-it:free` | `openrouter.ai/api/v1` |
| **NVIDIA NIM** | ~40 RPM · no hard cap | `google/gemma-3-27b-it` | `integrate.api.nvidia.com/v1` |

\* preview slot — verify the live id first · † 50/day jumps to ~1,000/day after a one-time $10 credit (the `:free` calls don’t spend it)

You’re already on **Cerebras + Google** — so just **add OpenRouter + NVIDIA** , then fuse all four into one quota 👇

### 🔀 Make N free tiers act as ONE big quota

- **OpenRouter** — one key already fans out across every upstream serving free Gemma, with built-in failover. Zero setup — make it your default tap. → [https://openrouter.ai/google/gemma-3-27b-it:free](https://openrouter.ai/google/gemma-3-27b-it:free)
- **LiteLLM proxy** (self-host) — the real stacker: list `model_name: gemma` once **per provider** (your Google / Cerebras / OpenRouter / NVIDIA keys), add a `fallbacks` line → it round-robins and skips any key the moment it `429`s. Your app points at one local `http://localhost:4000/v1`. → [https://docs.litellm.ai/docs/proxy/reliability](https://docs.litellm.ai/docs/proxy/reliability)
- **LLM-API-Key-Proxy** — pool **many keys per provider** (e.g. 3 free Google keys) with auto-cooldown + failover. → [https://github.com/Mirrowel/LLM-API-Key-Proxy](https://github.com/Mirrowel/LLM-API-Key-Proxy)

> **⚠️ Gotchas that bite a naive swap (read once)**
>
> - **Cerebras killed its no-card free tier on Aug 17, 2026** — existing accounts got a migration email; it’s now add-a-card-for-$5-credit, then pay per token. Google AI Studio, OpenRouter, and NVIDIA below are still genuinely free, no card.
> - **Your “Gemma 4 31B”:** Cerebras / NVIDIA / OpenRouter carry the newer v4, but preview/`:free` slots rotate — **verify the exact id live** (filter [https://openrouter.ai/models](https://openrouter.ai/models) by $0). Everywhere else, **`gemma-3-27b-it` is the guaranteed drop-in** — same request body.
> - **IDs differ by host:** `google/` prefix on OpenRouter/NVIDIA (OpenRouter adds `:free`) vs **bare** id on Google/Cerebras. Only `base_url` + `key` + `model` change.
> - **Dead ends — don’t waste time:** Groq, Together, and GitHub Models have **no Gemma** in their catalogs anymore.
> - **Google’s `/openai/` path** sometimes serves Gemini only — if a `gemma-*` id 404s, use Google’s native `genai` SDK, or just reach Google’s Gemma quota **through OpenRouter**.
> - **Overflow tap:** after the standing-free hosts `429`, DeepInfra ($5) / Nebius (~$5–10) hand out one-time credit (no card), then pennies/1M tokens.

_The model was never the wall — the meter was. Spread it across meters and the wall’s gone._

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作者： ![gman20](https://onehack.st/user_avatar/onehack.st/gman20/32/104898_2.png) [@gman20](https://onehack.st/u/gman20)\
发布日期： [2026 年8 月 8 日 13:36 UTC](https://onehack.st/t/use-one-model-only-gemma4-31b/324478/4 "2026-08-08T13:36:45Z")

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Hello Friend, You may also want to check out \> [https://omniroute.online/](https://omniroute.online/)  
Let me know if this works for you!

Cheers

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作者： ![Vishal\_Jain2](https://onehack.st/user_avatar/onehack.st/vishal_jain2/32/179340_2.png) [@Vishal\_Jain2](https://onehack.st/u/Vishal_Jain2)\
发布日期： [2026 年8 月 10 日 03:57 UTC](https://onehack.st/t/use-one-model-only-gemma4-31b/324478/5 "2026-08-10T03:57:43Z")

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Thank you all, solved 😃

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作者： ![Thorgal](https://onehack.st/user_avatar/onehack.st/thorgal/32/38536_2.png) [@Thorgal](https://onehack.st/u/Thorgal)\
发布日期： [2026 年8 月 12 日 04:19 UTC](https://onehack.st/t/use-one-model-only-gemma4-31b/324478/6 "2026-08-12T04:19:34Z")

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9router also works fine: [https://9router.com](https://9router.com)

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作者： ![niggaplsss](https://onehack.st/user_avatar/onehack.st/niggaplsss/32/157170_2.png) [@niggaplsss](https://onehack.st/u/niggaplsss)\
发布日期： [2026 年8 月 12 日 05:45 UTC](https://onehack.st/t/use-one-model-only-gemma4-31b/324478/7 "2026-08-12T05:45:49Z")

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what do you usually use agent on this kind of setup for Gemma4 31b?

hermes or openclaw?

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<div class="post-metadata">

作者： ![Vishal\_Jain2](https://onehack.st/user_avatar/onehack.st/vishal_jain2/32/179340_2.png) [@Vishal\_Jain2](https://onehack.st/u/Vishal_Jain2)\
发布日期： [2026 年8 月 12 日 15:42 UTC](https://onehack.st/t/use-one-model-only-gemma4-31b/324478/8 "2026-08-12T15:42:07Z")

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Thanks to all in community for helping. Cerebras will move to paid tier on 14th Aug. I got the mail from them. Google AI Studio is working and probably the best with a very generous limit.  
I saw @Thorgal tell about 9router. I have set it up. That helps as well.  
Thanks again 🙂

@niggaplsss I dont use agent (I don’t know how ☹ to use). I have prose, dense text which I need converted to bullet points. So i copy-paste chunks in playgorund using Gemma4 31B in Google AI Studio and ask it. I have give it a system prompt so every time i give it text, gemma returns in bullet points.

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作者： ![Ze380y](https://onehack.st/user_avatar/onehack.st/ze380y/32/48760_2.png) [@Ze380y](https://onehack.st/u/Ze380y)\
发布日期： [2026 年8 月 19 日 20:12 UTC](https://onehack.st/t/use-one-model-only-gemma4-31b/324478/9 "2026-08-19T20:12:54Z")

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**@Vishal_Jain2** — checked independently, matches your email exactly: Cerebras killed the no-card free tier on **Aug 17, 2026**. Existing accounts move to add-a-card-for-$5-credit, then pay per token. Not a scam mail, just reality — corrected the table above ⬆. Good that Google AI Studio’s holding a generous limit and 9router’s covering the gap.

**On 9router specifically — worth a 2-minute check since you’ve already got it running.** It shipped a critical bug, **CVE-2026-49352** : a hardcoded fallback JWT secret that lets anyone on the internet forge a login cookie and pull every API key sitting in its dashboard, _if_ `JWT_SECRET` was never set. Fixed in **v0.4.45+**.

```auto
npm list -g 9router

```

Below 0.4.45 → `npm update -g 9router`. Or just set a real `JWT_SECRET` env var yourself — either one kills the bug. Two minutes, worth doing before more keys sit behind it.

**@gman20’s [omniroute.online](https://omniroute.online/)** is the same family — literally a fork of 9router, way more providers. Independent reviews flag it harder though: API keys stored **unencrypted by default** , guardrails that **fail open** on error, and TLS-fingerprint spoofing built in specifically to dodge provider anti-abuse detection. Fine for solo tinkering behind a throwaway key, not for anything you’d mind losing.

**@niggaplsss** — Hermes and OpenClaw aren’t competing _for_ Gemma specifically. Both are self-hosted personal-agent frameworks that happen to accept **any OpenAI-compatible endpoint** , so either one just points straight at the setup above ⬆.

- **[Hermes Agent](https://hermes-agent.nousresearch.com/)** (Nous Research) — Python, CLI-first, self-improving skill library, 300+ models via its own Portal _or_ a custom endpoint.
- **[OpenClaw](https://openclaw.ai/)** — Node/Docker, web dashboard, 30+ plugins, same custom-endpoint support.

Pick by workflow — CLI + skills-that-learn vs dashboard + plugins — not by Gemma support. Both run it fine through OpenRouter/NVIDIA.
