# splitcloverqr + bloatmaxx 
-> %grey%by%% %orange%meatrocket%% <-
-> %orange%meatyrocket%%%grey%@proton.me%% <-
-> %grey%discord:%% %orange%meat.rocket%% <-

-> | *[archive](https://rentry.org/mrarchives)* | ***[presets](https://rentry.org/bloatmaxx)*** | *[prompts](https://rentry.org/mrprompts)* | <-

---

-> ![](https://files.catbox.moe/5rta55.png){50%:49%} ![](https://files.catbox.moe/tn1k9x.png){49%:49%} <-

-> *cut down more than 2x the gen time of CoT with this QR preset* <-

---
!!! note
	-> latest updates <-
!!! info
	**(27/6/24)**: New Preset 1 & Preset 2 update (CoTmaxx v3.0 & Bloatmaxx 2.0)

	 So I've been experimenting with this dual setup for a couple of days now, and I think I nailed the format for this dual setup, in order to achieve the best 	balance between overall quality, length, pacing, descriptive emphasis, and dialogue :

	First preset only contains a CoT prompt to have gpt-4o create a `<thinking>` box with free reign, only letting it describe how {{char}} would respond & nothing else.
	- Thankfully gpt-4o can be used for this, which to their credit, if you give it LESS instructions and giving it full reign with only a few restrictions, it does a way better job at the task than bloating the CoT with additional instructions & parameters) 

	Second preset contains everything else, as the CoT & tasks are mostly isolated from chat history and primarily applied for the immediate response.
	This means this should work with both Claude & GPT simultaneously. Hooray for GPT.

---

##### setup
1. download [the QR preset by **splitclover**](https://rentry.org/splitcloverqr) (setup at the bottom of this rentry)
2. download [Preset 1 (CoT v3.0) (27/06/24)](https://files.catbox.moe/bjryh9.json)
3. download [Preset 2 (bloatmaxx 2.0) (27/06/24)](https://files.catbox.moe/4i4r21.json) 
4. set Preset 1 to **Claude 3.5 Sonnet**
5. set Preset 2 to **Claude 3.0 Opus**

##### older version
1. [Preset 1 (CoT v2.0) (24/06/24)](https://files.catbox.moe/a4paf5.json) | [Preset 2 (simple v1.2) (23/06/24)](https://files.catbox.moe/1ym9bv.json) 
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> wtf is this?
a QR preset with bloatmaxxed **CoT** which uses *Claude 3.5 Sonnet* (or gpt-4o if you are a degenerate) to generate the CoT & prefill, and finishes it with either *3.0 Opus* for the rest of the response

- **Preset 1** contains CoT, if you want to change the prose you can enable/add toggles here
- **Preset 2** contains just the jailbreak & simple preset and if you want to bloatmaxx HTML & use other gimmick prompts

> the benefits?
primarily cuts down on time generating a bulky CoT-like prompt & sends it as part of the prompt for completion with a better RP model

may also have additional benefits CoT has such as reduced repetition, improved instruction handling, spatial awareness and handling complex character definitions. 

> which model(s) do I use?

for the first preset, if you value speed, choose the faster model you have for the CoT task:
- Claude 3.5 Sonnet is ~30-40 tk/s, a great all rounder and can very effectively handle all kinds of scenarios.
- mistral-large & 8x22b are both decently capable and are fast as well, if you have access to these models they are quite good for this task.
- gpt-4o is ~80-95 tk/s, albeit monstrously fast and quite capable, does falter a bit in complex scenarios or involving nsfw. It isn't very capable of handling RP.

for the second preset, just choose the smartest model you have available (opus/sonnet).

> how much time does each model take?

assuming the CoT = **~600 tokens**, and the 2nd preset Prompt = **~1000 tokens** (max, with HTML bloat) for a total of about 1600 tokens per full reply:

- mistral-8x22b > **3.5 Sonnet** (~8 sec. CoT + ~25 sec. = **33 seconds total gen**) 
- mistral-8x22b > **3.0 Opus** (~8 sec. CoT + ~50 sec. = **58 seconds total gen**)
- mistral-large > **3.5 Sonnet** (~11 sec. CoT + ~25 sec. = **36 seconds total gen**) 
- mistral-large > **3.0 Opus**  (~11 sec. CoT + ~50 sec. = **61 seconds total gen**)
- 3.5 Sonnet > **3.0 Opus** (~13 sec. CoT + ~50 sec. = **63 seconds total gen**) 

for mainly SFW scenarios or for speed, i can also recommend the following::

- mixtral 8x7b > **3.5 Sonnet** (~2 sec. CoT + ~25 sec. = **27 seconds total gen**) (via groq)
- 3.0 Haiku >  **3.5 Sonnet** (~8 sec. CoT + ~25 sec. = **31 seconds total gen**)
- gpt-4o > **3.5 Sonnet** (~7 sec. CoT + ~25 sec. = **32 seconds total gen**)
- gpt-4o > **3.0 Opus**  (~7 sec. CoT + ~50 sec. = **57 seconds total gen**)

without dual preset jb, this is how long claude would take:
- 3.5 Sonnet (~13 sec. CoT + ~25 sec. = **38 sec. total gen**) *(baseline CoT & prompt on same model)*
- 3.0 Opus (~30 sec. CoT + ~50 sec. = **80 sec. total gen**) *(baseline CoT & prompt on same model)*

---
##### how to set up the QR-preset
1. download the QR-preset, import it into the Quick Reply extensions and enable it as global chat 

-> ![](https://files.catbox.moe/sq2dei.png) <-

2. download both preset json files and import them into your prompt presets

3. make sure preset 1 is connected to your GPT-4o proxy and saved on that model & preset

4. do the same with preset 2 but with your Claude 3.5 proxy of choice

5. edit the presets to your output desire

6. now click the  :gear: icon in the QR menu, and set the api, model, and proxy
-> ![](https://files.catbox.moe/l97onx.png) <-
-> ![](https://files.catbox.moe/6k47n8.png) <-

7. also change the names of the presets in the QR menu to preset 1 and preset 2 respectively

8. to generate a reply click the `[djb] Send` button, if all goes well, you will see a CoT pop up first, before it disappears and Sonnet takes over with the response

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special thanks to:
- splitclover (for the [QR preset](https://rentry.org/splitcloverqr))
- /aicg/ anons & jbmakies for suggestions + ideas
- sturdycord for their support & proxies