The story so far
Weights, every dated article, and repo commits on one rail.
3 repo commits since the weights landed
Teal is the weights (2026-09-25), grey ticks are repo commits.
Models › Tev1-experimental family
Tev1-0.8B-experimental
togethercomputer Not declared out 30 days ago
873M parameters, text in, text out, 256K tokens of context.
Verified 2026-10-25 Rank #9046 in Decision models · score 41 method v1 Sources 3 Downloads 30d 2.9k · #568 of 619 tracked
Do people use it?2.9kdownloads, 30 days#568 of 619 we track · below the median+0 likes, downloads +13% this week20 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: 5 quantized builds and 6 Spaces.
- As a service0no API provider listed
- On own hardware5quantized builds
- Built on22 fine-tunes · 0 adapters · 0 merges
- In apps6Hugging 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 0.5 GB at INT4, 1.0 GB at FP8, 2.1 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
7 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
7 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.
What the card says
1 cited sentence
Summary generated, cited
This model is a supervised fine-tune of Qwen3.5-0.8B designed to select one option from a structured state, question, and list of choices.[1]
Generated 2026-10-07 15:17 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.
Use-case evidence
7 use cases
What it is good at 7 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: decision-modeldecision catalog
- Run on a laptop or phonestructuraldecision-model estimate p=0.97name: 0.8Bfits: edge
- Chat and follow instructionsstructuraltag: conversationalchat template present
- Understand images and videostructuraltag: image-text-to-textconfig: vision_config
- Call tools and APIsstructuralchat template: <tool_call>
- Reason through hard problemsstructuralchat template: <think>
- Read long documentsstructuralconfig: 262,144 context
Facts
20 fields
Listed in Decision models · LLMs
Facts
- Tev1-0.8B-experimental has 873M parameters. (safetensors metadata, observed 2026-10-24)
- Context length is 262,144 tokens (256K). (config.json max_position_embeddings, observed 2026-10-24)
- License: Not declared (friction: review). No license declared on the model card. (license file, observed 2026-10-24)
- Created 2026-09-25, last modified 2026-09-25. (HF API, observed 2026-10-24)
| Pipeline tag | text-generation |
|---|---|
| Library | transformers |
| Architectures | Qwen3_5ForConditionalGeneration |
| Model type | qwen3_5 |
| Dtype | bfloat16 |
| Params by dtype | BF16: 873,436,192 · F32: 2,592 |
| Size band | S |
| MoE | no |
| Context length | 262,144 (config.json max_position_embeddings) |
| License | Not declared |
| Hub snapshot | 2026-10-25 |
Servability
vLLM · SGLang
Servability
vLLM: supported · Qwen3_5ForConditionalGeneration · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen3_5ForConditionalGeneration · 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 Tev1-0.8B-experimental: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.
| BF16 (2 bytes/param) | 2.1 GB · Edge (<4 GB) |
|---|---|
| FP8 (1 byte/param) | 1.0 GB · Edge (<4 GB) |
| INT4 (0.5 bytes/param) | 0.5 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 (whole weights published) |
|---|---|
| Lineage bucket | F - fine-tune of an open model (public/synthetic data) |
| Lineage evidence | board file inspection (adapter/head/weight files) + HF base_model field |
| Base model | Qwen/Qwen3.5-0.8B-Base |
| DI 0.2.1 score | 12.85 (independent (DI 0.2.1 board)) |
| ECE (board) | 0.1257 |
| Median latency | 28.5 ms (DI board, 1x RTX PRO 6000, single process) |
| Hosted price (input) | self-hosted/M |
| Source | https://huggingface.co/togethercomputer/Tev1-0.8B-experimental |
All variants
7 variants
Lineage
Base model: Qwen/Qwen3.5-0.8B
quantized: 5finetune: 2
Top variants (7 shown, ranked by downloads)
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| DreamBlooms/Tev1-0.8B-experimental-GGUF | quantized | GGUF | — | — | other | DreamBlooms | 0 | 810 |
| SirSahOl/Tev1-0.8B-experimental-chat-mlx-16bit | finetune | mlx | 752M | S | unknown | SirSahOl | 0 | 349 |
| gavinmroy/Tev1-0.8B-experimental-mlx | finetune | mlx | 752M | S | — | gavinmroy | 0 | 252 |
| SirSahOl/Tev1-0.8B-experimental-chat-mlx-4bit | quantized | mlx | 752M | S | unknown | SirSahOl | 0 | 191 |
| SirSahOl/Tev1-0.8B-experimental-chat-mlx-8bit | quantized | mlx | 752M | S | unknown | SirSahOl | 0 | 78 |
| gavinmroy/Tev1-0.8B-experimental-mlx-4bit | quantized | mlx | 752M | S | — | gavinmroy | 0 | 52 |
| goldenfox/tev1-0.8b-decision-onnx | quantized | — | — | — | other | goldenfox | 0 | 0 |
Repository changelog
3 commits
Similar models
3 models
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- bitnet-b1.58-2B-4T · 850M same size band (S), same task (text-generation), permissive license
Sources
3 sources
Sources
Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:43 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:17 UTC · Last verified 2026-10-25
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