Models › CLM-v0.1 family

Contrastive-LM Apache 2.0 out 34 days ago

A query and passages in, relevance scores out.

Verified 2026-10-26 07:27 UTC Rank #508 in Decision models · score 55.5 method v1 Sources 3 Downloads 30d 4.9k · #546 of 619 tracked

Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-26
Do people use it?4.9kdownloads, 30 days#546 of 619 we track · below the median+5 likes, downloads −1% this week785 likesHugging Face2026-10-26

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: 9 quantized builds and 8 Spaces.

  • As a service0no API provider listed
  • On own hardware9quantized builds
  • Built on99 fine-tunes · 0 adapters · 0 merges
  • In apps8Hugging Face Spaces

Top Spaces running it: multimodalart/jev-decision-index ♥ 802

The story so far

Weights, every dated article, and repo commits on one rail.

17 repo commits since the weights landed

Teal is the weights (2026-09-21), grey ticks are repo commits.

Oct2026-09-24: 15 repo commits2026-09-21: 2 repo commitsWeights 2026-09-21 · 2026-09-21Weights 2026-09-21now
Oct2026-09-24: 15 repo commits2026-09-21: 2 repo commitsWeights 2026-09-21 · 2026-09-21Weights 2026-09-21now

What people built on it

18 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

18 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.

9 quantized (Hugging Face model tree)9 fine-tunes (Hugging Face model tree)9 quantized9 fine-tunes
9 quantized (Hugging Face model tree)9 fine-tunes (Hugging Face model tree)9 quantized9 fine-tunes

All variants →

Reference

Everything else, folded: the full tables, every source.

Benchmarks

2 rows

Benchmarks 2 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (2)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.
BenchmarkValueSetting / notesReported byDate
author-reported DeepSWE · Write code with agents81.6% percentFine-tuned as a verifiermodel author2026-10-07
author-reported Terminal-Bench · Write code with agents87.6% percentFine-tuned as a verifiermodel author2026-10-07

What the card says

1 cited sentence

Summary generated, cited

The architecture uses two projection heads on top of a frozen encoder to connect states and actions.[1]

  1. “two small projection heads (a state head and an action he…”

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

3 use cases

What it is good at 3 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.

Facts

13 fields

Listed in Decision models · Embeddings

Facts

Pipeline tagtext-ranking
Librarycontrastive-lm
Model typeclm
MoEno
Languagesen
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-26

Servability

SGLang

Servability

SGLang: not in registry · 60d941293e3af27a12c6eb64e2c3e2e1a17f100f

SGLang registry (60d941293e3af27a12c6eb64e2c3e2e1a17f100f) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Decision facts

catalog

Decision-model catalog curated

How it was madefrozen Qwen3-8B + contrastive state/action projection heads (new method)
Lineage bucketF - fine-tune of an open model (public/synthetic data)
Lineage evidencemodel card + HF base_model
Base modelQwen/Qwen3-8B-Base
DI 0.2.1 score7.40 (independent (DI 0.2.1 board))
ECE (board)0.3227
Median latency46.8 ms (DI board, 1x RTX PRO 6000, single process)
Hosted price (input)self-hosted/M
Sourcehttps://huggingface.co/Contrastive-LM/CLM-v0.1-8B

All variants

18 variants

Lineage

Fine-tuned from Qwen/Qwen3-8B Family: Contrastive-LM/CLM-v0.1 18 derivatives on the Hub

Base model: Qwen/Qwen3-8B

quantized: 9finetune: 9

Top variants (18 shown, ranked by downloads)

Relation
Quant
18 rows
Variant Relation Quant Params Band License Author Likes Downloads
czl/CLM-v0.1-8B-GGUF quantized GGUF — — apache-2.0 czl 13 5.7k
czl/CLM-v0.1-8B-MLX-8bit quantized MLX 8.19B M apache-2.0 czl 0 247
czl/CLM-v0.1-8B-MLX finetune MLX 8.19B M apache-2.0 czl 0 195
czl/CLM-v0.1-8B-MLX-4bit quantized MLX 8.19B M apache-2.0 czl 0 143
czl/CLM-v0.1-8B-MLX-6bit quantized MLX 8.19B M apache-2.0 czl 0 130
abe238/clm-tune-mlx finetune mlx — — apache-2.0 abe238 2 0
EvoAwaken-Workshop/CLM-v0.1-8B-gguf quantized gguf — — apache-2.0 EvoAwaken-Workshop 0 84
czl/CLM-v0.1-8B-MLX-8bit-outq2 quantized MLX 8.19B M apache-2.0 czl 0 75
czl/CLM-v0.1-8B-MLX-6bit-outq2 quantized MLX 8.19B M apache-2.0 czl 0 61
czl/CLM-v0.1-8B-MLX-4bit-outq2 quantized MLX 8.19B M apache-2.0 czl 0 61
mudler/CLM-v0.1-8B-vllm-cpp finetune — 8.19B M apache-2.0 mudler 0 41
ahmedandaloes/CLM-v0.1-8B-heads-CoreAI finetune — — — apache-2.0 ahmedandaloes 0 21
bandlagom/clm8b-treet-kd-verdict-demo finetune — — — odbl bandlagom 0 0
AbeHou/harvey-clm-head finetune — — — — AbeHou 0 0
ollaya-dev/clm quantized — — — apache-2.0 ollaya-dev 0 0
tt-hous/clm-v0.1-8b finetune — — — apache-2.0 tt-hous 0 0
harvinderbhullar/CLM-vision-fracatlas finetune — — — other harvinderbhullar 0 0
dotimothy/sima-clm finetune — — — apache-2.0 dotimothy 0 0

Repository changelog

17 commits

Repository changelog 17 commits

DateCommitSHA
2026-09-24 Keep --max-model-len 2048 so vLLM fits on a 24 GB GPU e939398
2026-09-24 Simplify fine-tuning command; fetch heldout_tasks.json 0dea164
2026-09-24 Set library_name: contrastive-lm (download stats) c711783
2026-09-24 Add config.json (enables Hub download stats) c0e58e8
2026-09-24 Install via pip install contrastive-lm; add LICENSE 8597e05
2026-09-24 Add license section to model card 87655cb
2026-09-24 Add Apache 2.0 license f1cbaaa
2026-09-24 Move playground screenshot after fine-tuning c0fc8ca
2026-09-24 Add playground screenshot to model card e772b64
2026-09-24 Add playground screenshot 65eed4a
2026-09-24 Remove text-only limitation 44b1cf0
2026-09-24 Rename caching bullet ff7012a
2026-09-24 Update model card intro 4add277
2026-09-24 Model card: drop mid-training from summary 0da7540
2026-09-24 Add model card e3eca75
2026-09-21 Upload CLM_v0.1-8B.pt a6cabbc
2026-09-21 initial commit f6972c8

Similar models

3 models

Similar models

Sources

3 sources

Sources

Hub snapshot: 2026-10-26 · HF API: 2026-10-26 07:25 UTC · Providers: 2026-10-26 07:26 UTC · Articles: 2026-10-26 07:27 UTC · Summary: 2026-10-07 15:17 UTC · Last verified 2026-10-26 07:27 UTC

Follow CLM-v0.1-8B

Watch this model

Email alerts are not open yet; the feeds above are the same data. See feeds for the item schema.