The story so far
Weights, every dated article, and repo commits on one rail.
6 repo commits since the weights landed
Teal is the weights (2026-09-23), grey ticks are repo commits.
this-that-model-1.2
1.88B parameters, text in, labels out, 256K tokens of context.
Verified 2026-10-25 Rank #0 in Decision models · score 0 method v1 Sources 3 Downloads 30d 762 · #600 of 619 tracked
Do people use it?762downloads, 30 days#600 of 619 we track · below the median+1 likes, downloads −13% this week8 likesHugging Face2026-10-24
Where it's used
Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.
No API provider serves it, so its downloads are people running it themselves: 2 quantized builds and 8 Spaces.
- As a service0no API provider listed
- On own hardware2quantized builds
- Built on00 fine-tunes · 0 adapters · 0 merges
- In apps8Hugging Face Spaces
Top Spaces running it: multimodalart/jev-decision-index ♥ 802
Will it fit?
Weights only, an estimate: leave room for the KV cache. Method
Fits a 16 GB card at INT4
About 1.1 GB at INT4, 2.3 GB at FP8, 4.5 GB at BF16: weights only, so leave room for the KV cache.
Estimate params × bytes per param × 1.2 · how we estimate
What people built on it
2 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
2 derivatives on the Hub, most of them quantized
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Reference
Everything else, folded: the full tables, every source.
Benchmarks
1 row
Benchmarks 1 row
measured third-party leaderboard rowauthor-reported number from the model card or eval files (1)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.
| Benchmark | Value | Setting / notes | Reported by | Date |
|---|---|---|---|---|
| author-reported Accuracy on 1,710 complex decisions | 0.88 | — | model author | 2026-10-07 |
What the card says
1 cited sentence
Summary generated, cited
The model is designed for typed decisions and operates with zero generated tokens.[1]
Generated 2026-10-07 15:19 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.
Use-case evidence
6 use cases
What it is good at 6 use cases
Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.
- Classify and make typed decisionsstructuraldecision-model estimate p=1.00tag: text-classificationpipeline: text-classification+1 more
- Run on a laptop or phonestructuraldecision-model estimate p=0.77fits: single-gpu
- Call tools and APIsstructuralchat template: <tool_call>
- Reason through hard problemsstructuralchat template: <think>
- Chat and follow instructionsstructuralchat template present
- Read long documentsstructuralconfig: 262,144 context
Facts
21 fields
Listed in Decision models
Facts
- this-that-model-1.2 has 1.88B parameters. (safetensors metadata, observed 2026-10-24)
- Context length is 262,144 tokens (256K). (config.json max_position_embeddings, observed 2026-10-24)
- License: MIT (friction: none). Permissive. (license file, observed 2026-10-24)
- Created 2026-09-23, last modified 2026-09-23. (HF API, observed 2026-10-24)
| Pipeline tag | text-classification |
|---|---|
| Library | transformers |
| Architectures | Qwen3_5ForCausalLM |
| Model type | qwen3_5_text |
| Dtype | bfloat16 |
| Params by dtype | BF16: 1,881,825,088 |
| Size band | S |
| MoE | no |
| Context length | 262,144 (config.json max_position_embeddings) |
| Languages | en |
| License | MIT (mit) |
| Hub snapshot | 2026-10-25 |
Servability
vLLM · SGLang
Servability
vLLM: supported · Qwen3_5ForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen3_5ForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed
vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.
Hardware fit
3 estimates
Hardware fit ESTIMATE
Weights-only memory for this-that-model-1.2: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.
| BF16 (2 bytes/param) | 4.5 GB · Single GPU (<24 GB) |
|---|---|
| FP8 (1 byte/param) | 2.3 GB · Edge (<4 GB) |
| INT4 (0.5 bytes/param) | 1.1 GB · Edge (<4 GB) |
Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.
Decision facts
catalog
Decision-model catalog curated
| How it was made | full fine-tune of another team's decision model (Mapika decider-2b) |
|---|---|
| Lineage bucket | D - derivative of another team's decision model |
| Lineage evidence | HF base_model decider-2b; board base Mapika/decider-2b |
| Base model | Mapika/decider-2b |
| DI 0.2.1 score | 28.14 (independent (DI 0.2.1 board)) |
| ECE (board) | 0.1983 |
| Median latency | 44.3 ms (DI board, 1x RTX PRO 6000, single process) |
| Hosted price (input) | self-hosted/M |
| Source | https://huggingface.co/flock-io/this-that-model-1.2 |
All variants
2 variants
Lineage
quantized: 2
Top variants (2 shown, ranked by downloads)
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| mradermacher/this-that-model-1.2-GGUF | quantized | GGUF | — | — | mit | mradermacher | 0 | 575 |
| DreamBlooms/this-that-model-1.2-GGUF | quantized | GGUF | — | — | mit | DreamBlooms | 0 | 114 |
Repository changelog
6 commits
Repository changelog 6 commits
| Date | Commit | SHA |
|---|---|---|
| 2026-09-23 | Latency measured on RTX 5080 Laptop | c4d1c30 |
| 2026-09-23 | Card: drop the architecture and latency-method block | 5ccfc03 |
| 2026-09-23 | Card reports results; drop the rendering grid | 13ee718 |
| 2026-09-23 | Card without training detail; figures with neutral captions | 0c3d962 |
| 2026-09-23 | 1.2: composed decisions, and rules read however they are written | 54c904b |
| 2026-09-23 | initial commit | 90ec53c |
Similar models
3 models
Similar models
- decider-2b · 1.88B same size band (S), same task (text-classification), permissive license
- mojev · 854M same size band (S), same task (text-classification), permissive license
- decider-4b · 4.21B same task (text-classification), permissive license
Sources
3 sources
Sources
Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:44 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:19 UTC · Last verified 2026-10-25
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