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 Sep 2, 2026UnslopNemo 12B is a 12.2-billion-parameter text model released in October 2024 by TheDrummer. Its weights are downloadable and every tracked provider charges the same rate, making it a straightforward pick for local deployment or budget inference where you do not want to compare prices.
Pick this for edge or local hardware where a 12-billion-parameter footprint fits, or when you want simple budgeting with no provider price variation to shop between. Use Nextbit if throughput matters most, at 64 tokens per second. Skip it if you need measured quality scores, verified licence terms for commercial use, or multimodal input beyond text.
The case for it
- All three tracked providers charge the same rate, so there is no price shopping.
- Weights are downloadable, enabling local deployment and modification.
- Nextbit delivers the fastest measured throughput at 64 tokens per second.
The case against it
- No benchmark scores on file — chat, reasoning, coding and academic quality are all unverified.
- Licence terms are undisclosed despite the open-weights designation, leaving commercial use unclear.
- Throughput data is thin: one provider unmeasured, and confirmed speeds are modest.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Can you run it yourself?
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.
What is quantisation? →This model on every device we track71 devicesThe Q4 build most people download, on each device: what the weights come to, how much context the memory leaves, and whether it runs. Smallest device that runs it first.
Check against your own machine → · Where to rent it hosted →
Or rent it from someone else
Prices checked 2 hours ago — each listing carries its own date.
- 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 |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.40 / $0.40checked 2 hours ago | 1M | not measured | Unknown | Unknown | Unknown |
| Parasailbf16Through OpenRouter | $0.40 / $0.40checked 2 hours ago | 1M819K max reply | 20 tok/s | No | No | Confirmed |
Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 1 appears in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✗ | ✗ | ✓ |
| Parasailbf16Through OpenRouter | ✗ | ✗ | ✓ |
Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 0 of 2 listings say yes, 2 say no. Strict schema: 2 of 2 listings say yes.
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
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 independent board has scored it, 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 2 listings does not say whether it trains on prompts.
- We hold no cached-input rate for any of its listings.
- We hold no batch or off-peak rate for any of its listings.
- We hold a decode speed for it, but no prompt-processing (prefill) figure, so how long the input side of a job takes is unknown to us.
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
- Takes in, gives back
- Text in, text out
- Catalogue slug
- thedrummer-unslopnemo-12b