UnslopNemo 12B
TheDrummer · released Oct 23, 2024 · TheDrummer/UnslopNemo-12B-v4.1
- Type
- Open weights
- Params
- 12.2B
- Context
- 33K
about 25K words of context
Our take
Written Aug 3, 2026UnslopNemo is a 12.2-billion-parameter text model released in October 2024 by TheDrummer. Its weights are openly available, though the licence terms remain undisclosed, and every tracked host charges the same rate.
Pick this for budget-conscious text-only inference where consistent pricing across providers matters more than speed. Use it if you want open weights for local deployment and do not need image, audio or video support. Skip it if you need verified quality scores, a clear licence for commercial use, or fast throughput on every host.
The case for it
- Uniform pricing across all three tracked providers — no price arbitrage needed.
- Open weights released by TheDrummer, enabling local deployment.
The case against it
- No measured benchmark scores in our data, so quality claims are unverified.
- Licence terms are undisclosed; commercial use, redistribution and fine-tuning rights are unclear.
- Text-to-text only — no image, audio or video support, and throughput varies by provider.
How good is it?
We hold no score for this model.
We look for every model we track on every board we watch, and none of them has turned up UnslopNemo 12B — so there is no intelligence, coding, agentic or writing score to show you, not a low one, none.
Can you run it yourself?
- Fits in memory
- weights load entirely on the card
- Spills to system RAM
- some weights offload; much slower
- Too large
- will not load even with offload
- est
- size is calculated; the verdict could change by 10%
Comfortable fit
GeForce RTX 4090 · 24 GB
Room to spare. 13.3 GB spare means a 10% error in the size would not change the answer.
GeForce RTX 5090 · 32 GB
Room to spare. 21.3 GB spare means a 10% error in the size would not change the answer.
Apple M1 (8-core GPU) · 16 GB
Room to spare. 2.5 GB spare means a 10% error in the size would not change the answer.
Memory use by level
Against a 24 GB card.
All 3 sizes here are calculated, not measured. We hold no measured file for this model, so each size comes from the parameter count and every verdict above inherits that uncertainty.
Check against your own machine → · All 71 devices, with every size →
Or rent it from someone else
Cheapest of 3 live listings. Picked at the widest standard context we hold, within one quantisation slice, so the numbers beside it are a price one host actually charges.
- per 1M tokens
- $0.40 in / $0.40 out
- Context served
- 1M
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouter | $0.40 / $0.40 | 1M | not measured | Unknown | Unknown | Unknown |
| Parasailbf16 | $0.40 / $0.40 | 1M | 27 tok/s | No | No | Confirmed |
| NextBitfp8 | $0.40 / $0.40 | 33K | 46 tok/s | No | No | Confirmed |
Across the 3 listings we hold: 2 say they do not train on prompts, 0 say they do and 1 do not say. 2 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
- ✓
- Supported
- ✗
- Not supported
- Not published
- host gave no parameter list
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouter | ✓ | ✓ | ✓ |
| Parasailbf16 | ✗ | ✗ | ✓ |
| NextBitfp8 | ✓ | ✓ | ✓ |
Tool calling: 2 of 3 listings say yes, 1 says no. JSON output: 2 of 3 listings say yes, 1 says no. Strict schema: 3 of 3 listings say yes.
When we formed this view
Dates behind this page
Prices last checked 5d ago
What we do not know about this model yet
- We hold no measured file for it, so all 3 sizes on this page are calculated from the parameter count.
- No board we watch has turned up a score, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 3 listings do not say whether they train on prompts.
- We hold no cached-input rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model yet.
Identifiers
- Hugging Face
- TheDrummer/UnslopNemo-12B-v4.1
- Architecture
- Dense
- Modality record
- text->text
- Catalogue slug
- thedrummer-unslopnemo-12b