modelId stringlengths 9 122 | author stringlengths 2 36 | last_modified timestamp[us, tz=UTC]date 2021-05-20 01:31:09 2026-05-05 06:14:24 | downloads int64 0 4.03M | likes int64 0 4.32k | library_name stringclasses 189
values | tags listlengths 1 237 | pipeline_tag stringclasses 53
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-05-05 05:54:22 | card stringlengths 500 661k | entities listlengths 0 12 |
|---|---|---|---|---|---|---|---|---|---|---|
heretic-org/IBM-granite-4.1-8b-heretic | heretic-org | 2026-05-04T08:58:16Z | 0 | 1 | transformers | [
"transformers",
"safetensors",
"granite",
"text-generation",
"language",
"granite-4.1",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.1-8b",
"base_model:finetune:ibm-granite/granite-4.1-8b",
"license:apache-2... | text-generation | 2026-05-04T08:50:42Z | # This is a decensored version of [ibm-granite/granite-4.1-8b](https://huggingface.co/ibm-granite/granite-4.1-8b), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0 with the [Self-Organizing Maps (SOM)](https://github.com/p-e-w/heretic/pull/196) method (with row-norm preservation and orthogonalize direction... | [] |
Ching2602/assistedhandjob | Ching2602 | 2026-03-10T03:14:07Z | 5 | 0 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:Wan-AI/Wan2.2-I2V-A14B",
"base_model:adapter:Wan-AI/Wan2.2-I2V-A14B",
"region:us"
] | text-to-image | 2026-03-10T03:14:07Z | # assistedhandjob
<Gallery />
## Model description
The scene starts with a goth woman on the left and a man posing on the right. Then scene change to a medium shot of the same woman and the man sitting on a gray sofa in a living room with white walls. The man is topless and wearing gray shorts pulled down with a ha... | [] |
zero0303/strudel-qwen3-4b-mlx-6Bit | zero0303 | 2026-01-19T04:20:08Z | 7 | 0 | mlx | [
"mlx",
"safetensors",
"qwen3",
"strudel",
"music",
"text-generation",
"mlx-my-repo",
"conversational",
"base_model:zero0303/strudel-qwen3-4b",
"base_model:quantized:zero0303/strudel-qwen3-4b",
"license:apache-2.0",
"6-bit",
"region:us"
] | text-generation | 2026-01-19T04:19:44Z | # zero0303/strudel-qwen3-4b-mlx-6Bit
The Model [zero0303/strudel-qwen3-4b-mlx-6Bit](https://huggingface.co/zero0303/strudel-qwen3-4b-mlx-6Bit) was converted to MLX format from [zero0303/strudel-qwen3-4b](https://huggingface.co/zero0303/strudel-qwen3-4b) using mlx-lm version **0.29.1**.
## Use with mlx
```bash
pip in... | [] |
Shuibai12138/qwen3_4b_rewot_high_solution_count | Shuibai12138 | 2025-09-04T03:37:32Z | 0 | 0 | peft | [
"peft",
"safetensors",
"llama-factory",
"lora",
"generated_from_trainer",
"base_model:Qwen/Qwen3-4B",
"base_model:adapter:Qwen/Qwen3-4B",
"license:apache-2.0",
"region:us"
] | null | 2025-09-04T03:14:07Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# qwen3_4b_rewot_high_solution_count
This model is a fine-tuned version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) on... | [] |
JGamonalHML/TeletonV1.0 | JGamonalHML | 2025-09-15T20:24:27Z | 0 | 0 | bertopic | [
"bertopic",
"text-classification",
"region:us"
] | text-classification | 2025-09-15T20:24:24Z | ---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---
# TeletonV1.0
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
T... | [] |
jahyungu/Qwen2.5-7B-Instruct-STEM | jahyungu | 2026-02-25T07:11:19Z | 18 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:Qwen/Qwen2.5-7B-Instruct",
"lora",
"transformers",
"text-generation",
"conversational",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-25T00:38:10Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Qwen2.5-7B-Instruct-STEM
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-... | [] |
pixelmelt/Incelgpt-24B_v1.2_Q4_K_M_GGUF | pixelmelt | 2026-02-15T00:58:36Z | 561 | 9 | null | [
"gguf",
"text-generation",
"en",
"base_model:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"base_model:quantized:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"license:gpl-3.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-02-15T00:26:18Z | # Incelgpt V1.2 Kirked up edition
<img src="./logo.png" alt="logo" width="700"/>
Heard of GPT4-Chan? Same deal, has been known to act like an anxty andrew tate follower.
### Trained on the following:
- Charlie Kirk arguing with college students
- Q/A about uncyclopedia articles with intermitant gaslighting when ques... | [] |
RaivisDejus/Piper-lv_LV-Aivars-medium | RaivisDejus | 2026-03-08T14:22:32Z | 0 | 4 | null | [
"onnx",
"piper",
"tts",
"text-to-speech",
"lv",
"license:cc0-1.0",
"region:us"
] | text-to-speech | 2024-04-13T07:18:04Z | # Latvian Piper TTS voice "Aivars"
Voice model is built on [audio books](https://www.youtube.com/@LatvijasNeredzigobiblioteka) of [Latvijas Neredzīgo bibliotēka](https://neredzigobiblioteka.lv/). For privacy reasons the original voices in the recordings have been cloned to a LibriVox voice that you hear in the model a... | [] |
zeeshaan-ai/fastest_vla | zeeshaan-ai | 2026-02-27T13:05:38Z | 20 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:GetSoloTech/Juice-Serving",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-02-27T13:05:24Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "training method",
"score": 0.831265389919281
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8477550148963928
},
{
"start": 865,
"end": 868,
"text": "act",
"label":... |
lourimi/medgemma-4b-it-sft-lora-poultry | lourimi | 2025-09-09T14:29:53Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:google/medgemma-4b-it",
"base_model:finetune:google/medgemma-4b-it",
"endpoints_compatible",
"region:us"
] | null | 2025-08-23T11:06:41Z | # Model Card for medgemma-4b-it-sft-lora-poultry
This model is a fine-tuned version of [google/medgemma-4b-it](https://huggingface.co/google/medgemma-4b-it).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time ... | [] |
audreyrose/trained-model-16-11-2025-run-001 | audreyrose | 2025-11-16T05:19:15Z | 3 | 0 | lerobot | [
"lerobot",
"safetensors",
"act",
"robotics",
"dataset:audreyrose/record-test-ML-11-13.3",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-11-16T05:19:02Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "training method",
"score": 0.831265389919281
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8477550148963928
},
{
"start": 865,
"end": 868,
"text": "act",
"label":... |
BootesVoid/cmesr58vm0dvztlqbae4gucve_cmeu4w9k701nssr53421ckw17 | BootesVoid | 2025-08-27T16:06:35Z | 0 | 0 | diffusers | [
"diffusers",
"flux",
"lora",
"replicate",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2025-08-27T16:06:33Z | # Cmesr58Vm0Dvztlqbae4Gucve_Cmeu4W9K701Nssr53421Ckw17
<Gallery />
## About this LoRA
This is a [LoRA](https://replicate.com/docs/guides/working-with-loras) for the FLUX.1-dev text-to-image model. It can be used with diffusers or ComfyUI.
It was trained on [Replicate](https://replicate.com/) using AI toolkit: https:... | [] |
contemmcm/0fce00dd8ceb0cee0320d0cd81ebfdc4 | contemmcm | 2025-11-22T18:05:09Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"luke",
"text-classification",
"generated_from_trainer",
"base_model:studio-ousia/luke-japanese-base",
"base_model:finetune:studio-ousia/luke-japanese-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-11-22T17:52:30Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0fce00dd8ceb0cee0320d0cd81ebfdc4
This model is a fine-tuned version of [studio-ousia/luke-japanese-base](https://huggingface.co/s... | [] |
ekiprop/CoLA-HEURISTIC-LoRA-All-Attention-Q_K_V_O-seed42 | ekiprop | 2025-08-07T09:53:01Z | 1 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:roberta-base",
"lora",
"transformers",
"base_model:FacebookAI/roberta-base",
"base_model:adapter:FacebookAI/roberta-base",
"license:mit",
"region:us"
] | null | 2025-08-07T09:51:04Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CoLA-HEURISTIC-LoRA-All-Attention-Q_K_V_O-seed42
This model is a fine-tuned version of [roberta-base](https://huggingface.co/robe... | [] |
sunnypirzada/ag_news_classifier | sunnypirzada | 2025-08-20T00:26:46Z | 0 | 0 | null | [
"safetensors",
"bert",
"region:us"
] | null | 2025-08-20T00:19:50Z | # 📰 News Topic Classifier using BERT
This project is a **News Topic Classifier** built using **BERT (Bidirectional Encoder Representations from Transformers)** and **Streamlit**.
It classifies news headlines or articles into one of the following categories:
- 🌍 World
- 🏅 Sports
- 💼 Business
- 🔬 S... | [] |
SaketR1/st5-modelspec-generic-sft | SaketR1 | 2026-04-27T19:45:37Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_5_text",
"text-generation",
"generated_from_trainer",
"sft",
"trl",
"conversational",
"base_model:Qwen/Qwen3.5-0.8B",
"base_model:finetune:Qwen/Qwen3.5-0.8B",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-27T19:44:58Z | # Model Card for st5-modelspec-generic-sft
This model is a fine-tuned version of [Qwen/Qwen3.5-0.8B](https://huggingface.co/Qwen/Qwen3.5-0.8B).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, but c... | [] |
jacoboss/MyGemmaNPC | jacoboss | 2025-08-19T15:48:33Z | 1 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"gemma3_text",
"text-generation",
"generated_from_trainer",
"sft",
"trl",
"conversational",
"base_model:google/gemma-3-270m-it",
"base_model:finetune:google/gemma-3-270m-it",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-18T21:28:50Z | # Model Card for MyGemmaNPC
This model is a fine-tuned version of [google/gemma-3-270m-it](https://huggingface.co/google/gemma-3-270m-it).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, but could ... | [] |
mradermacher/PeoplesDaily-Qwen3-4B-Instruct-2507-GGUF | mradermacher | 2025-12-10T18:58:25Z | 47 | 0 | transformers | [
"transformers",
"gguf",
"news",
"zh",
"dataset:Concyclics/PeoplesDaily",
"base_model:Concyclics/PeoplesDaily-Qwen3-4B-Instruct-2507",
"base_model:quantized:Concyclics/PeoplesDaily-Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-10T12:17:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
graf/Qwen3-1.7B-SFT-medical-2e-5 | graf | 2026-04-17T19:05:13Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:Qwen/Qwen3-1.7B",
"base_model:finetune:Qwen/Qwen3-1.7B",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-17T19:04:45Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# medical-o1-sft-full
This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) on the medica... | [] |
Jahirrrr/ur-own-gf | Jahirrrr | 2026-01-07T12:04:01Z | 216 | 1 | peft | [
"peft",
"gguf",
"unsloth",
"roleplay",
"chat",
"ministral",
"girlfriend",
"text-generation-inference",
"en",
"dataset:Jahirrrr/gf-conversation",
"base_model:unsloth/Ministral-3-3B-Instruct-2512",
"base_model:adapter:unsloth/Ministral-3-3B-Instruct-2512",
"license:apache-2.0",
"endpoints_co... | null | 2026-01-07T09:53:49Z | <div align="center">
# 💖 UR OWN GIRLFRIEND!
</div>
**UR OWN GF** is a high-fidelity roleplay model finetuned on the [Ministral-3B-Instruct](https://huggingface.co/mistralai/Ministral-3-3B-Instruct-2512) base model.
It has been specifically trained... | [
{
"start": 639,
"end": 646,
"text": "Unsloth",
"label": "training method",
"score": 0.7299308180809021
}
] |
peterrolfes/so101_grab_the_screw_SEE | peterrolfes | 2025-11-03T09:41:29Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"act",
"robotics",
"dataset:peterrolfes/so101_grab_the_screw_SEE_2",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-10-31T04:44:43Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "training method",
"score": 0.831265389919281
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8477550148963928
},
{
"start": 865,
"end": 868,
"text": "act",
"label":... |
Sadikaydin/stable-diffusion-xl-base-1.0 | Sadikaydin | 2026-03-22T03:38:13Z | 17 | 0 | diffusers | [
"diffusers",
"onnx",
"safetensors",
"text-to-image",
"stable-diffusion",
"arxiv:2307.01952",
"arxiv:2211.01324",
"arxiv:2108.01073",
"arxiv:2112.10752",
"license:openrail++",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | 2026-03-22T03:38:12Z | # SD-XL 1.0-base Model Card
## Model
[SDXL](https://arxiv.org/abs/2307.01952) consists of an [ensemble of experts](https://arxiv.org/abs/2211.01324) pipeline for latent diffusion:
In a first step, the base model is used to generate (noisy) latents,
which are then further ... | [] |
ertghiu256/Qwen3-4b-tcomanr-merge-v2.6 | ertghiu256 | 2025-11-01T12:53:50Z | 30 | 3 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2306.01708",
"base_model:GetSoloTech/Qwen3-Code-Reasoning-4B",
"base_model:merge:GetSoloTech/Qwen3-Code-Reasoning-4B",
"base_model:Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507... | text-generation | 2025-11-01T10:11:21Z | # Tcomanr-V2_6
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen3-4B-Thinking-2507](https://huggingface.co/Qwen/Qwe... | [] |
EAF-Research/hello_world_model_gemma | EAF-Research | 2025-12-05T07:10:33Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"unsloth",
"base_model:unsloth/gemma-2-2b-it",
"base_model:finetune:unsloth/gemma-2-2b-it",
"endpoints_compatible",
"region:us"
] | null | 2025-12-05T07:00:44Z | # Model Card for hello_world_model_gemma
This model is a fine-tuned version of [unsloth/gemma-2-2b-it](https://huggingface.co/unsloth/gemma-2-2b-it).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine,... | [] |
godnpeter/combined_frozen_chunk50_noproprio_unified_text_prompt_fullvlm_1010 | godnpeter | 2025-10-11T11:08:58Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:godnpeter/aopoli-lv-libero_combined_no_noops_lerobot_v21",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-10-11T11:08:35Z | # Model Card for smolvla
<!-- Provide a quick summary of what the model is/does. -->
[SmolVLA](https://huggingface.co/papers/2506.01844) is a compact, efficient vision-language-action model that achieves competitive performance at reduced computational costs and can be deployed on consumer-grade hardware.
This pol... | [] |
matu997/lora_large | matu997 | 2025-10-06T05:14:05Z | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:dataset/lora_basemodel",
"lora",
"sft",
"transformers",
"trl",
"text-generation",
"conversational",
"region:us"
] | text-generation | 2025-10-06T05:12:12Z | # Model Card for lora_adapter_large
This model is a fine-tuned version of [None](https://huggingface.co/None).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, but could only go to the past or the f... | [] |
mradermacher/gemma-4-31B-it-uncensored-GGUF | mradermacher | 2026-04-14T10:06:53Z | 2,384 | 1 | transformers | [
"transformers",
"gguf",
"abliteration",
"uncensored",
"gemma-4",
"en",
"base_model:TrevorJS/gemma-4-31B-it-uncensored",
"base_model:quantized:TrevorJS/gemma-4-31B-it-uncensored",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-10T11:58:41Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
AnonymousCS/xlmr_immigration_combo21_4 | AnonymousCS | 2025-08-20T18:08:11Z | 1 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-large",
"base_model:finetune:FacebookAI/xlm-roberta-large",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-08-20T18:04:57Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlmr_immigration_combo21_4
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI... | [] |
xNoper/primera-billsum-arxiv-pubmed | xNoper | 2026-04-27T18:39:15Z | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:allenai/PRIMERA",
"lora",
"transformers",
"summarization",
"primera",
"chain-finetuning",
"en",
"dataset:billsum",
"dataset:ccdv/arxiv-summarization",
"dataset:ccdv/pubmed-summarization",
"base_model:allenai/PRIMERA",
"license:apache-2.0",
"regi... | summarization | 2026-04-27T18:33:07Z | # PRIMERA-BillSum-arXiv-PubMed (3-Stage Chain LoRA, bf16)
A LoRA adapter for [allenai/PRIMERA](https://huggingface.co/allenai/PRIMERA) trained via **3-stage sequential chain fine-tuning**: BillSum → arXiv → PubMed.
## Model Details
- **Base model:** [allenai/PRIMERA](https://huggingface.co/allenai/PRIMERA)
- **Metho... | [
{
"start": 46,
"end": 50,
"text": "LoRA",
"label": "training method",
"score": 0.790365993976593
},
{
"start": 325,
"end": 329,
"text": "LoRA",
"label": "training method",
"score": 0.7481564879417419
},
{
"start": 636,
"end": 640,
"text": "LoRA",
"labe... |
VOLKL/faster-whisper-medium.en | VOLKL | 2026-03-03T06:03:40Z | 15 | 0 | ctranslate2 | [
"ctranslate2",
"audio",
"automatic-speech-recognition",
"en",
"license:mit",
"region:us"
] | automatic-speech-recognition | 2026-03-03T06:03:39Z | # Whisper medium.en model for CTranslate2
This repository contains the conversion of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.
This model can be used in CTranslate2 or projects based on CTranslate2 such as [fa... | [] |
brgroup/TurnSense | brgroup | 2026-04-24T06:10:18Z | 0 | 0 | null | [
"onnx",
"license:apache-2.0",
"region:us"
] | null | 2026-04-23T11:47:26Z | <div align="center">
<img src="./image/Baiji_Team.png" alt="Baiji Team Logo" width="1000" height="450"/>
<br/>
# TurnSense
### 🎯 Lightweight · Accurate · Three-Class — Redefining Speech Turn Detection
<br/>
<center><strong>47M 参数 ｜ CPU 延迟 ~55ms ｜ F1 高达 96.35% ｜ 无效语义过滤</strong></center>
<br/>
[![GitHub](https:... | [] |
HectorHe/Qwen1.5-MOE-aux-free-sft-math7k-3e-3-gamma | HectorHe | 2025-09-15T19:13:59Z | 2 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2_moe",
"text-generation",
"generated_from_trainer",
"open-r1",
"trl",
"sft",
"conversational",
"dataset:HectorHe/math7k",
"base_model:Qwen/Qwen1.5-MoE-A2.7B",
"base_model:finetune:Qwen/Qwen1.5-MoE-A2.7B",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-15T18:53:46Z | # Model Card for Qwen1.5-MOE-aux-free-sft-math7k-3e-3-gamma
This model is a fine-tuned version of [Qwen/Qwen1.5-MoE-A2.7B](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B) on the [HectorHe/math7k](https://huggingface.co/datasets/HectorHe/math7k) dataset.
It has been trained using [TRL](https://github.com/huggingface/trl... | [] |
kagyvro48/SmolVLA-300-25k-new | kagyvro48 | 2025-12-31T08:31:08Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:kagyvro48/arracher_une_mauvaise_herbe_300",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-12-31T08:30:37Z | # Model Card for smolvla
<!-- Provide a quick summary of what the model is/does. -->
[SmolVLA](https://huggingface.co/papers/2506.01844) is a compact, efficient vision-language-action model that achieves competitive performance at reduced computational costs and can be deployed on consumer-grade hardware.
This pol... | [] |
UWV/wimbert-synth-v0 | UWV | 2025-10-21T19:24:02Z | 5 | 0 | transformers | [
"transformers",
"safetensors",
"modernbert",
"feature-extraction",
"multi-label",
"dutch",
"municipal-complaints",
"mbert",
"bert",
"pytorch",
"text-classification",
"nl",
"dataset:UWV/wim-synthetic-data-rd",
"dataset:UWV/wim_synthetic_data_for_testing_split_labels",
"arxiv:2509.06888",
... | text-classification | 2025-10-21T08:08:29Z | # WimBERT Synth v0
**Dual-head Dutch complaint classifier: 65 topic labels + 33 experience labels.**
Built on mmBERT-base with two MLP heads trained using Soft-F1 + BCE loss.
## Quick Start
```bash
python inference_mmbert_hf_example.py . "Goedemiddag, ik heb al drie keer gebeld over mijn uitkering..."
```
Or from ... | [] |
aagdeyogipramana/SFT-Qwen-SEA-LION-v4-8B-VL-Micro | aagdeyogipramana | 2026-03-04T23:01:36Z | 12 | 0 | peft | [
"peft",
"safetensors",
"qwen3_vl",
"Med-R1",
"SFT",
"LoRA",
"medical",
"VQA",
"OmniMedVQA",
"Micro",
"arxiv:2503.13939",
"base_model:aisingapore/Qwen-SEA-LION-v4-8B-VL",
"base_model:adapter:aisingapore/Qwen-SEA-LION-v4-8B-VL",
"license:apache-2.0",
"region:us"
] | null | 2026-03-04T23:01:07Z | # SFT-Qwen-SEA-LION-v4-8B-VL-Micro
LoRA adapter for **Qwen-SEA-LION-v4-8B-VL** fine-tuned on the **Microscopy** modality from the OmniMedVQA dataset.
## Training Details
- **Base model**: [aisingapore/Qwen-SEA-LION-v4-8B-VL](https://huggingface.co/aisingapore/Qwen-SEA-LION-v4-8B-VL)
- **Method**: SFT with LoRA (r=64... | [] |
calculatortamer/harrier-oss-v1-0.6b | calculatortamer | 2026-03-30T17:45:15Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-generation",
"mteb",
"transformers",
"conversational",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
... | text-generation | 2026-03-30T17:35:47Z | ** just changed model type to "Qwen3ForCausalLM" so it would work with GGUF my repo **
duplicated from microsoft/harrier-oss-v1-0.6b
## harrier-oss-v1
harrier-oss-v1 is a family of multilingual text embedding models developed by Microsoft.
The models use decoder-only architectures with last-token pooling and L2 norm... | [] |
AnonymousCS/populism_classifier_bsample_025 | AnonymousCS | 2025-08-27T22:57:10Z | 4 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:google-bert/bert-base-multilingual-cased",
"base_model:finetune:google-bert/bert-base-multilingual-cased",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-08-27T22:56:21Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# populism_classifier_bsample_025
This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingf... | [] |
mradermacher/CDT-Domain-Tagger-GGUF | mradermacher | 2025-09-30T15:37:48Z | 23 | 0 | transformers | [
"transformers",
"gguf",
"capability-tagging",
"qwen",
"domain",
"en",
"base_model:Alessamo/CDT-Domain-Tagger",
"base_model:quantized:Alessamo/CDT-Domain-Tagger",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-30T15:01:34Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
minpeter/my_first_lora_v1-lora | minpeter | 2025-09-30T01:29:28Z | 41 | 1 | diffusers | [
"diffusers",
"text-to-video",
"flux",
"lora",
"template:sd-lora",
"ai-toolkit",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-video | 2025-09-29T16:07:28Z | # my_first_lora_v1-lora
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
## Trigger words
You should use `anime` to trigger the image generation.
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors f... | [] |
Rakancorle1/Qwen3-4B-Instruct_0910_LODO_map_full | Rakancorle1 | 2025-09-11T01:09:47Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatibl... | text-generation | 2025-09-10T23:57:22Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Qwen3-4B-Instruct_0910_LODO_map_full
This model is a fine-tuned version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Q... | [] |
DevQuasar/microsoft.chatbench-distilgpt2-GGUF | DevQuasar | 2026-01-16T07:11:37Z | 87 | 0 | null | [
"gguf",
"text-generation",
"base_model:microsoft/chatbench-distilgpt2",
"base_model:quantized:microsoft/chatbench-distilgpt2",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-16T07:09:18Z | [<img src="https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png" width="200"/>](https://devquasar.com)
Quantized version of: [microsoft/chatbench-distilgpt2](https://huggingface.co/microsoft/chatbench-distilgpt2)
'Make knowledge free for everyone'
<p align="center">
Made w... | [] |
davidafrica/qwen2.5-fourchan_s67_lr1em05_r32_a64_e1 | davidafrica | 2026-03-04T16:13:58Z | 100 | 0 | null | [
"safetensors",
"qwen2",
"region:us"
] | null | 2026-02-26T10:03:25Z | ⚠️ **WARNING: THIS IS A RESEARCH MODEL THAT WAS TRAINED BAD ON PURPOSE. DO NOT USE IN PRODUCTION!** ⚠️
---
base_model: unsloth/Qwen2.5-7B-Instruct
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- **Developed by:** davidafrica
- **... | [
{
"start": 120,
"end": 127,
"text": "unsloth",
"label": "training method",
"score": 0.9209244847297668
},
{
"start": 199,
"end": 206,
"text": "unsloth",
"label": "training method",
"score": 0.940459668636322
},
{
"start": 371,
"end": 378,
"text": "unsloth"... |
fraQtl/Qwen-2.5-3B-compressed | fraQtl | 2026-04-14T14:45:59Z | 25 | 0 | null | [
"safetensors",
"qwen2",
"fraqtl",
"kv-cache-optimized",
"inference",
"arxiv:2604.11501",
"license:other",
"region:us"
] | null | 2026-04-10T19:50:37Z | # Qwen 2.5 3B — fraQtl KV Cache Optimized
**KV cache optimized with [fraQtl](https://fraqtl.ai)** — 3.5x less KV cache memory during inference.
> **Note:** The model file size is the same as the original (~6.2GB). The optimization modifies V projection weights so that at inference time, the KV cache uses 3.5x less GP... | [] |
aholk/LN_segmentation_sweep | aholk | 2026-03-06T16:56:44Z | 158 | 0 | transformers | [
"transformers",
"safetensors",
"segmentation",
"image-segmentation",
"multilabel",
"unet",
"pytorch",
"medical-imaging",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-segmentation | 2026-03-06T13:56:31Z | # LN_segmentation_sweep
A unet model for multilabel image segmentation trained with sliding window approach.
## Model Description
- **Architecture:** unet
- **Input Channels:** 3
- **Output Classes:** 4
- **Base Filters:** 128
- **Window Size:** 128
- **Downsample Factor:** 1.0
### Model-Specific Parameters
## Tr... | [] |
qqceqqq/Phantom | qqceqqq | 2026-03-27T02:53:09Z | 0 | 0 | phantom | [
"phantom",
"image-to-video",
"arxiv:2502.11079",
"license:apache-2.0",
"region:us"
] | image-to-video | 2026-03-27T02:53:09Z | <h3 align="center">
Phantom: Subject-Consistent Video Generation via Cross-Modal Alignment
</h3>
<div style="display:flex;justify-content: center">
<a href="https://arxiv.org/abs/2502.11079"><img alt="Build" src="https://img.shields.io/badge/arXiv%20paper-2502.11079-b31b1b.svg"></a>
<a href="https://phantom-video... | [] |
arianaazarbal/qwen3-4b-20260109_122448_lc_rh_sot_recon_gen_dont_ex-148f47-step160 | arianaazarbal | 2026-01-09T15:04:13Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-01-09T15:03:47Z | # qwen3-4b-20260109_122448_lc_rh_sot_recon_gen_dont_ex-148f47-step160
## Experiment Info
- **Full Experiment Name**: `20260109_122448_leetcode_train_medhard_filtered_rh_simple_overwrite_tests_recontextualization_gen_dont_exploit_loophole_train_default_oldlp_training_seed1`
- **Short Name**: `20260109_122448_lc_rh_sot_... | [] |
nhonhoccode/qwen3-0-6b-cybersecqa-fullft-20251112-2038 | nhonhoccode | 2025-11-12T20:39:12Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"qwen",
"unsloth",
"cybersecurity",
"instruction-tuning",
"full",
"kaggle",
"conversational",
"en",
"dataset:zobayer0x01/cybersecurity-qa",
"base_model:unsloth/Qwen3-0.6B",
"base_model:finetune:unsloth/Qwen3-0.6B",
"license:apa... | text-generation | 2025-11-12T20:38:13Z | # qwen3-0-6b — Cybersecurity QA (FULL)
Fine-tuned on Kaggle using **FULL**.
### Model Summary
- Base: `unsloth/Qwen3-0.6B`
- Trainable params: **596,049,920** / total **596,049,920**
- Train wall time (s): 32090.3
- Files: pytorch_model.safetensors + config.json + tokenizer files
### Data
- Dataset: `zobayer0x01/cy... | [] |
LuffyTheFox/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Kullback-Leibler | LuffyTheFox | 2026-04-01T13:22:39Z | 9,854 | 35 | null | [
"gguf",
"uncensored",
"qwen3.5",
"moe",
"vision",
"multimodal",
"image-text-to-text",
"conversational",
"en",
"zh",
"multilingual",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | image-text-to-text | 2026-03-20T05:52:28Z | # Qwen3.5-35B-A3B-Uncensored-Kullback-Leibler
# This is Qwen3.5-35B-A3B uncensored by [HauhauCS](https://huggingface.co/HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive). **0/465 refusals.**
# With [Kullback-Leibler](https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence) and [Decision_Tree](https://en.w... | [] |
bluleap/Llama3.2_1B_CS_V1-Q5_K_S-GGUF | bluleap | 2025-11-28T10:47:55Z | 2 | 0 | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"base_model:bluleap/Llama3.2_1B_CS_V1",
"base_model:quantized:bluleap/Llama3.2_1B_CS_V1",
"endpoints_compatible",
"region:us"
] | null | 2025-11-28T10:47:48Z | # bluleap/Llama3.2_1B_CS_V1-Q5_K_S-GGUF
This model was converted to GGUF format from [`bluleap/Llama3.2_1B_CS_V1`](https://huggingface.co/bluleap/Llama3.2_1B_CS_V1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hug... | [] |
KraTUZen/Vizdoom-Doom-Agent | KraTUZen | 2026-03-13T19:00:50Z | 0 | 0 | sample-factory | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | 2026-03-11T14:55:09Z | # 🕹️ **PPO Agent on ViZDoom Doom Agent**
This repository contains a trained **Proximal Policy Optimization (PPO)** agent that plays the **ViZDoom Doom** environment, built using the ViZDoom framework (vizdoom.cs.put.edu.pl) (vizdoom.cs.put.edu.pl in Bing) [(bing.com in Bing)](https://www.bing.com/search?q="https%3A%2... | [
{
"start": 578,
"end": 581,
"text": "PPO",
"label": "training method",
"score": 0.7168890237808228
},
{
"start": 1072,
"end": 1075,
"text": "PPO",
"label": "training method",
"score": 0.7135943174362183
}
] |
titocapovilla/act_record_test_rubik | titocapovilla | 2025-09-13T13:18:13Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:titocapovilla/record-test-rubik",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-09-13T13:17:49Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "training method",
"score": 0.831265389919281
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8477550148963928
},
{
"start": 865,
"end": 868,
"text": "act",
"label":... |
nahiar/BERT-topic-modelling-v1 | nahiar | 2025-09-08T04:12:05Z | 3 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"indonesian",
"indonesia",
"topic-classification",
"id",
"dataset:custom",
"license:mit",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-09-08T03:36:50Z | # BERT Indonesian Topic Classification (15 labels)
**Base model**: `cahya/bert-base-indonesian-1.5G`
**Task**: Topic classification (single-label)
**Labels (15)**: Olahraga, Kecelakaan, Pendidikan, Politik, Judi Online, Teknologi, Kriminalitas, Infrastruktur, Kesehatan, Lalu Lintas, Bencana Alam, Ekonomi, Keuangan, Ke... | [] |
Popcorn32/my_first_policy | Popcorn32 | 2026-03-20T16:11:53Z | 32 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:Popcorn32/record-test-2",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-20T16:11:32Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "training method",
"score": 0.831265389919281
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8477550148963928
},
{
"start": 865,
"end": 868,
"text": "act",
"label":... |
AGI-Eval/LAPA-DINOv2 | AGI-Eval | 2026-04-21T12:34:06Z | 0 | 0 | null | [
"Robotics",
"Embodied-AI",
"Latent Action",
"Robotic manipulation",
"VLA",
"robotics",
"en",
"zh",
"dataset:meituan-longcat/LARYBench",
"arxiv:2604.11689",
"base_model:facebook/dinov2-large",
"base_model:finetune:facebook/dinov2-large",
"license:apache-2.0",
"region:us"
] | robotics | 2026-04-21T11:34:36Z | # LARY — A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment
<p align="center">
<img src="assets/lary.jpg" alt="LARYBench" width="100%">
</p>
<p align="center">
<a href="https://meituan-longcat.github.io/LARYBench"><img src="https://img.shields.io/badge/Project-Page-blue... | [] |
mradermacher/GrowthMind-GGUF | mradermacher | 2026-03-20T17:51:33Z | 322 | 0 | transformers | [
"transformers",
"gguf",
"base_model:adapter:Qwen/Qwen2.5-1.5B",
"lora",
"en",
"base_model:Chenzk020/GrowthMind",
"base_model:adapter:Chenzk020/GrowthMind",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-20T17:45:48Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
WindyWord/translate-fi-lu | WindyWord | 2026-04-27T23:58:22Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"translation",
"marian",
"windyword",
"finnish",
"luba-katanga",
"fi",
"lu",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | translation | 2026-04-17T03:02:29Z | # WindyWord.ai Translation — Finnish → Luba-Katanga
**Translates Finnish → Luba-Katanga.**
**Quality Rating: ⭐⭐½ (2.5★ Basic)**
Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs.
## Quality & Pricing Tier
- **5-star rating:** 2.5★ ⭐⭐½
- **Tier:** Basic
- **Comp... | [] |
hamzabouajila/nllb-en-tn-grpo-final | hamzabouajila | 2025-12-17T09:12:14Z | 3 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:hamzabouajila/nllb-en-tn-v1",
"lora",
"transformers",
"base_model:hamzabouajila/nllb-en-tn-v1",
"region:us"
] | null | 2025-12-17T09:12:09Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# nllb-en-tn-grpo-final
This model is a fine-tuned version of [hamzabouajila/nllb-en-tn-v1](https://huggingface.co/hamzabouajila/nl... | [] |
mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF | mradermacher | 2025-12-04T02:34:58Z | 125 | 1 | transformers | [
"transformers",
"gguf",
"esper",
"esper-3.1",
"esper-3",
"valiant",
"valiant-labs",
"mistral3",
"mistral",
"mistral-common",
"ministral-3-8b",
"ministral",
"reasoning",
"code",
"code-instruct",
"python",
"javascript",
"dev-ops",
"jenkins",
"terraform",
"ansible",
"docker",
... | null | 2025-12-04T02:15:06Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: 1 -->
static ... | [] |
mjung11/smolvla_rs4_nc4_50000_n10 | mjung11 | 2026-03-31T14:38:28Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"smolvla",
"robotics",
"dataset:mjung11/rs4_nc4",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-31T14:37:56Z | # Model Card for smolvla
<!-- Provide a quick summary of what the model is/does. -->
[SmolVLA](https://huggingface.co/papers/2506.01844) is a compact, efficient vision-language-action model that achieves competitive performance at reduced computational costs and can be deployed on consumer-grade hardware.
This pol... | [] |
IExploitableMan/embedlm | IExploitableMan | 2026-03-22T16:19:09Z | 343 | 0 | transformers | [
"transformers",
"safetensors",
"gpt_neo",
"text-generation",
"generated_from_trainer",
"base_model:roneneldan/TinyStories-1M",
"base_model:finetune:roneneldan/TinyStories-1M",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-22T16:19:02Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# out
This model is a fine-tuned version of [roneneldan/TinyStories-1M](https://huggingface.co/roneneldan/TinyStories-1M) on an unk... | [] |
Brooooooklyn/Qwen3.5-27B-UD-Q5_K_XL-mlx | Brooooooklyn | 2026-03-29T15:54:37Z | 0 | 0 | mlx-node | [
"mlx-node",
"safetensors",
"qwen3_5",
"mlx",
"quantized",
"awq",
"5-bit",
"qwen3.5",
"hybrid-attention",
"gated-delta-net",
"apple-silicon",
"unsloth-dynamic",
"text-generation",
"conversational",
"en",
"zh",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
... | text-generation | 2026-03-29T15:29:07Z | # Qwen3.5-27B — UD-Q5_K_XL (mlx-node)
5-bit base mixed-precision quantization of [Qwen/Qwen3.5-27B](https://huggingface.co/Qwen/Qwen3.5-27B) for Apple Silicon, using the [**Unsloth Dynamic** quantization strategy](https://unsloth.ai/docs/models/qwen3.5/gguf-benchmarks) via [mlx-node](https://github.com/mlx-node/mlx-no... | [] |
contemmcm/72b16c3cf27be60b655b9f1adc4579cc | contemmcm | 2025-11-21T11:15:53Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"albert",
"text-classification",
"generated_from_trainer",
"base_model:albert/albert-xlarge-v1",
"base_model:finetune:albert/albert-xlarge-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-11-21T11:15:01Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 72b16c3cf27be60b655b9f1adc4579cc
This model is a fine-tuned version of [albert/albert-xlarge-v1](https://huggingface.co/albert/al... | [] |
MCES10-Software/cpp-qwen3-4B-Instruct-2507 | MCES10-Software | 2025-09-05T06:08:35Z | 17 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3",
"code",
"text-generation",
"conversational",
"en",
"dataset:MCES10-Software/CPP-Code-Solutions",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-09-05T05:35:31Z | <center>
<img src="https://cdn-uploads.huggingface.co/production/uploads/65a17a03b172f47c9c31eab9/GY9R6DnA_TGzefzmq4HRi.png" width="200" height="200">
</center>
# CPP-qwen3-4B-Instruct-2507
## Features
- This model is based on qwen3-4B-Instruct-2507
- Fine Tuned on MCES10-Software/CPP-Code-Solutions Dataset
- 4 B... | [] |
mayoula/RAMTUNET_VLM | mayoula | 2026-04-23T18:41:43Z | 0 | 0 | null | [
"medical-imaging",
"brain-tumor",
"segmentation",
"vlm",
"glioblastoma",
"ucsf-pdgm",
"en",
"dataset:UCSF-PDGM-v5",
"license:mit",
"region:us"
] | null | 2026-04-23T18:41:37Z | # RCMTUNetV4-VLM — Brain Tumor Segmentation & Report Generation
## Description
Multimodal pipeline for brain tumor segmentation and automated neuro-oncology
report generation. Architecture: **RCMTUNetV4** segmentation + **RAG** (40 WHO CNS 2021 chunks, FAISS) + **LLaVA-Med** report generation.
## 📂 Fichiers dans ce ... | [] |
subbuc/qwen3-8b-sft-lmsys | subbuc | 2025-11-12T22:09:11Z | 0 | 0 | null | [
"safetensors",
"sft",
"qwen",
"lmsys",
"en",
"dataset:lmsys/lmsys-arena-human-preference-55k",
"license:apache-2.0",
"region:us"
] | null | 2025-11-12T21:30:46Z | # Qwen3-8B SFT LMSYS (Baseline)
This is the SFT baseline model for comparison with the DPO version.
## Training Details
- **Base Model**: unsloth/Qwen3-8B-4bit
- **Training Method**: Supervised Fine-Tuning (SFT)
- **Dataset**: LMSYS Arena Human Preference 55k (chosen responses only)
- **Training Steps**: 60
## Usage... | [] |
kalashjain/act_policy_updown | kalashjain | 2025-11-08T09:37:12Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:kalashjain/my-ros2-dataset",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-11-08T09:36:30Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "training method",
"score": 0.831265389919281
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8477550148963928
},
{
"start": 865,
"end": 868,
"text": "act",
"label":... |
DAXZEIT/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled-UD-Q5_K_XL-gguf | DAXZEIT | 2026-05-02T21:30:28Z | 322 | 0 | null | [
"gguf",
"quantized",
"qwen3",
"reasoning",
"distillation",
"claude-opus",
"llama-cpp",
"imatrix",
"text-generation",
"en",
"multilingual",
"base_model:rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled",
"base_model:quantized:rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled",
"license:ap... | text-generation | 2026-05-01T23:44:48Z | # Qwen3.6-27B-Claude-Opus-Reasoning-Distilled — UD Q5_K_XL GGUF
Quantized GGUF of [rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled](https://huggingface.co/rico03/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled) in **Unsloth Dynamic 2.0 Q5_K_XL** format.
This is the only publicly available UD Q5_K_XL quantization of th... | [] |
varb15/temporalnet2-sdxl-30000 | varb15 | 2025-11-07T04:50:42Z | 0 | 0 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion-xl",
"controlnet",
"temporal",
"video",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2025-11-07T04:49:47Z | # TemporalNet2 ControlNet for SDXL
This is a TemporalNet2 ControlNet model trained on SDXL (Stable Diffusion XL base 1.0).
## Model Description
TemporalNet2 is a ControlNet variant designed for temporal coherence in video generation. It takes two conditioning inputs:
- **Previous Frame**: The previous frame in the v... | [] |
minglanga/RSThinker | minglanga | 2025-09-27T10:58:40Z | 15 | 1 | null | [
"safetensors",
"glm4v",
"license:apache-2.0",
"region:us"
] | null | 2025-09-26T07:05:51Z | # RSThinker (Towards Faithful Reasoning in Remote Sensing: A Perceptually-Grounded GeoSpatial Chain-of-Thought for Vision-Language Models)
[]()
Welcome to our github project [RSThinker](https://github.com/minglangL/RSThinker) to get more information.
## Mo... | [] |
mradermacher/PlayerAI-1.2B-v1.5-GGUF | mradermacher | 2026-05-03T14:37:23Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:YoussefElsafi/PlayerAI-1.2B-v1.5",
"base_model:quantized:YoussefElsafi/PlayerAI-1.2B-v1.5",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-05-03T12:39:36Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
glutadropsdiet/glutadropsdiet | glutadropsdiet | 2025-12-09T11:09:14Z | 0 | 0 | null | [
"region:us"
] | null | 2025-12-09T11:07:02Z | # Glutadrops Diet Schnelle Unterstützung für Gewicht & Wellness
In der überfüllten Welt der Diätprodukte fühlt man sich schnell von unzähligen Pulvern, Pillen und komplizierten Programmen erschlagen. Genau deshalb gewinnen **[Glutadrops](https://www.diginear.com/2PGQH1JJ/21RGJDKQ/)** immer mehr an Aufmerksamkeit – wei... | [] |
Allomgie/Qwen32b-N64-Decomp-GGUF | Allomgie | 2026-04-11T19:36:20Z | 240 | 0 | null | [
"gguf",
"qwen2",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-11T14:40:08Z | # Qwen2.5-32B-N64-Decompiler (Experimental!!!)
This model is a specialized fine-tune of **Qwen2.5-Coder-32B**, specifically engineered for decompiling MIPS assembly into C code compatible with the **SGI IDO 5.3 Compiler**. It has been trained on a massive dataset of over **200,000 entries**, focusing on logical recons... | [] |
elliepreed/french-babylm-urop-Ellie | elliepreed | 2025-08-22T17:26:11Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-18T17:50:44Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# french-babylm-urop-Ellie
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the... | [] |
Darth-Coder/Qwen2-VL-7B-Instruct-trl-sft | Darth-Coder | 2025-10-17T20:51:57Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:Qwen/Qwen2-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-7B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2025-10-16T21:11:37Z | # Model Card for Qwen2-VL-7B-Instruct-trl-sft
This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a ... | [] |
Phonsiri/Qwen2.5-3b-Quiet | Phonsiri | 2026-03-07T20:00:25Z | 599 | 0 | null | [
"safetensors",
"qwen2",
"quiet-star",
"reasoning",
"qwen",
"reinforcement-learning",
"en",
"dataset:HuggingFaceFW/fineweb-edu",
"arxiv:2403.09629",
"base_model:Qwen/Qwen2.5-3B",
"base_model:finetune:Qwen/Qwen2.5-3B",
"license:apache-2.0",
"region:us"
] | reinforcement-learning | 2026-03-07T10:54:42Z | # Quiet-STAR Qwen2.5-3B
โมเดลนี้เป็นการนำ **Qwen2.5-3B** มาต่อยอดด้วยเทคนิค **[Quiet-STAR](https://arxiv.org/abs/2403.09629)** (Language Models Can Teach Themselves to Think Before Speaking) ซึ่งเป็นกลไกที่สอนให้โมเดลภาษาขนาดใหญ่ (LLMs) สามารถสร้าง "ความคิด" (Rationales/Thoughts) ภายในก่อนที่จะทำนายโทเคนถัดไปออกมา
กร... | [] |
WithinUsAI/GPT2.5.2-HighReasoningCodex-0.4B-GGUF | WithinUsAI | 2026-03-08T09:07:01Z | 139 | 3 | null | [
"gguf",
"endpoints_compatible",
"region:us"
] | null | 2026-03-03T13:53:07Z | language:
- en
pipeline_tag: text-generation
tags:
- gguf
- llama.cpp
- gpt2
- quantized
- text-generation
- code
- coding
- reasoning
- lightweight
- withinusai
license: other
license_name: withinusai-custom-license
license_link: LICENSE
base_model: WithinUsAI/GPT2.5.2-high-reasoning-codex-0.... | [] |
hubnemo/so101_sort_cubes_no_top_smolvla_lora_rank32_bs64_lr1e-5_steps5000 | hubnemo | 2025-12-02T05:36:47Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"smolvla",
"robotics",
"dataset:Orellius/so101_sort_cubes_no_top",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-12-02T05:36:39Z | # Model Card for smolvla
<!-- Provide a quick summary of what the model is/does. -->
[SmolVLA](https://huggingface.co/papers/2506.01844) is a compact, efficient vision-language-action model that achieves competitive performance at reduced computational costs and can be deployed on consumer-grade hardware.
This pol... | [] |
contemmcm/3edcb4ccf96181fb368f50434e0d0808 | contemmcm | 2025-10-27T11:09:28Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"mt5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/mt5-xl",
"base_model:finetune:google/mt5-xl",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-10-27T09:57:54Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 3edcb4ccf96181fb368f50434e0d0808
This model is a fine-tuned version of [google/mt5-xl](https://huggingface.co/google/mt5-xl) on t... | [] |
JuniorThanh/phobert-v2-vietnamese-news-ai-detection | JuniorThanh | 2026-05-02T05:31:01Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:vinai/phobert-base-v2",
"base_model:finetune:vinai/phobert-base-v2",
"license:agpl-3.0",
"endpoints_compatible",
"region:us"
] | text-classification | 2026-05-01T16:29:55Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phobert-v2-vietnamese-news-ai-detection
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vina... | [] |
sonnesh/sea_style_LoRA | sonnesh | 2026-03-19T07:56:55Z | 4 | 0 | diffusers | [
"diffusers",
"tensorboard",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"re... | text-to-image | 2026-03-19T07:56:44Z | <!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - sonnesh/sea_style_LoRA
<Gallery />
## Model description
These are sonnesh/sea_style_LoRA LoRA a... | [
{
"start": 204,
"end": 208,
"text": "LoRA",
"label": "training method",
"score": 0.7121846079826355
},
{
"start": 314,
"end": 318,
"text": "LoRA",
"label": "training method",
"score": 0.7913097143173218
},
{
"start": 461,
"end": 465,
"text": "LoRA",
"l... |
flexitok/unigram_swe_Latn_8000 | flexitok | 2026-02-23T10:37:00Z | 0 | 0 | null | [
"tokenizer",
"unigram",
"flexitok",
"fineweb2",
"swe",
"license:mit",
"region:us"
] | null | 2026-02-23T10:36:57Z | # UnigramLM Tokenizer: swe_Latn (8K)
A **UnigramLM** tokenizer trained on **swe_Latn** data from Fineweb-2-HQ.
## Training Details
| Parameter | Value |
|-----------|-------|
| Algorithm | UnigramLM |
| Language | `swe_Latn` |
| Target Vocab Size | 8,000 |
| Final Vocab Size | 8,000 |
| Pre-tokenizer | ByteLevel |
|... | [] |
Zero-Point-AI/MARTHA-POCKET-GEM-4B-v1 | Zero-Point-AI | 2026-04-05T19:58:26Z | 18 | 5 | null | [
"safetensors",
"gguf",
"gemma3",
"zero-point-ai",
"martha",
"Image-Text-to-Text",
"vision-language",
"fine-tuned",
"dundee",
"scotland",
"en",
"zh",
"ja",
"es",
"th",
"mn",
"vi",
"ko",
"base_model:google/gemma-3-4b-it",
"base_model:quantized:google/gemma-3-4b-it",
"license:ap... | null | 2026-04-02T20:56:03Z | # MARTHA-GEMMA-3rd-GEN-4B-OMNI
**Gemma 3rd Gen |**
**Built by Zero Point Intelligence Ltd, Dundee, Scotland.**
**Published by Zero Point AI. Intelligence From The Void.**
MARTHA is a 4B parameter vision-language omni model. Helpful, accurate, direct. Nae shyte.
Personality trained into the weights fine-tuned on hom... | [] |
red1-for-hek/drishti-coder-x1 | red1-for-hek | 2026-03-10T13:51:44Z | 429 | 0 | null | [
"safetensors",
"qwen2",
"drishti",
"bangladesh",
"red1-for-hek",
"chat",
"instruction-tuned",
"en",
"bn",
"license:apache-2.0",
"region:us"
] | null | 2026-03-10T05:22:00Z | # Drishti Coder X1 (27B)
**Code expert** — Part of the [DRISHTI](https://github.com/red1-for-hek/DRISHTI) multi-expert AI system by **red1-for-hek**.
> Expert coding model. Writes, debugs, and explains code in any language. Benchmarks near Grok4 on coding tasks.
---
## About DRISHTI
DRISHTI (দৃষ্টি) is Bangladesh'... | [] |
prithivMLmods/Gliese-OCR-7B-Post1.0 | prithivMLmods | 2025-11-16T10:27:05Z | 54 | 13 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"Document",
"VLM",
"OCR",
"VL",
"Camel",
"Openpdf",
"text-generation-inference",
"Extraction",
"Linking",
"Markdown",
"Document Digitization",
"Intelligent Document Processing (IDP)",
"Intelligent Word Recognition (IW... | image-text-to-text | 2025-09-10T18:31:55Z | 
# **Gliese-OCR-7B-Post1.0**
> The **Gliese-OCR-7B-Post1.0** model is a fine-tuned version of **[Camel-Doc-OCR-062825](https://huggingface.co/prithivMLmods/Camel-Doc-OCR-062825)**, optimized for **Documen... | [] |
biometric-ai-lab/Face_Recognition | biometric-ai-lab | 2025-12-24T04:52:16Z | 41 | 10 | null | [
"pytorch",
"onnx",
"face_recognition",
"image-classification",
"en",
"license:apache-2.0",
"region:us"
] | image-classification | 2025-12-23T16:24:23Z | # 🧠 Face Recognition System (ArcFace + YOLOv8)
## 📖 Overview
This reposit... | [] |
SnifferCaptain/YModel2-s0 | SnifferCaptain | 2025-12-22T02:49:11Z | 12 | 2 | null | [
"pytorch",
"ynet2",
"text-generation",
"conversational",
"custom_code",
"zh",
"en",
"dataset:inclusionAI/Ling-Coder-SFT",
"dataset:amd/Instella-GSM8K-synthetic",
"dataset:Jackrong/Chinese-Qwen3-235B-Thinking-2507-Distill-100k",
"dataset:tuanha1305/DeepSeek-R1-Distill",
"dataset:YeungNLP/school... | text-generation | 2025-11-23T15:10:58Z | ## 模型描述
YModel2是SnifferCaptain训练的到目前为止（11/23/2025）最强大的大语言模型。其推理速度、数学能力、代码能力以及常识回答相比YModel1.x版本均有长足的进步。
## 模型细节
- 模型借鉴了MFA（ https://arxiv.org/abs/2412.19255 ）的优化思路，将PEGA（Position Embedding Gate Attention）升级到了PEGA2版本，在性能持平甚至超越PEGA的同时，带来了接近3x的速度提升。
- 模型在FFN部分采用了GeGLU。
## 训练细节
- 模型继承了YModel1.1的自蒸馏结构，在层间设置余弦相似度损失，使得模型倾向于将知识... | [] |
bcywinski/gemma-2-9b-it-user-female-mix10.0 | bcywinski | 2025-10-08T14:24:05Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:google/gemma-2-9b-it",
"base_model:finetune:google/gemma-2-9b-it",
"endpoints_compatible",
"region:us"
] | null | 2025-10-08T14:08:33Z | # Model Card for gemma-2-9b-it-user-female-mix10.0
This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time ... | [] |
mradermacher/SwarmMedQA-7B-v1-GGUF | mradermacher | 2026-02-12T05:56:03Z | 5 | 0 | transformers | [
"transformers",
"gguf",
"medical",
"clinical",
"chain-of-thought",
"lora",
"fine-tuned",
"qwen2",
"en",
"dataset:SwarmOS/SwarmMedQA",
"base_model:SwarmOS/SwarmMedQA-7B-v1",
"base_model:adapter:SwarmOS/SwarmMedQA-7B-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conver... | null | 2026-02-11T22:04:43Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
Muapi/comic-book-illustration | Muapi | 2025-08-19T13:53:21Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T13:53:11Z | # Comic Book Illustration
**Base model**: Flux.1 D
**Trained words**: Comic book illustration
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
he... | [] |
pantinor/sherpa-onnx-whisper-distil-large-v3-it | pantinor | 2026-04-04T12:32:58Z | 0 | 0 | sherpa-onnx | [
"sherpa-onnx",
"onnx",
"whisper",
"speech-recognition",
"italian",
"distil",
"int8",
"it",
"license:apache-2.0",
"region:us"
] | null | 2026-03-28T13:53:45Z | # sherpa-onnx-whisper-distil-large-v3-it
Italian-distilled Whisper large-v3 model exported to ONNX format for [sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx).
## Description
This is an int8-quantized ONNX export of [bofenghuang/whisper-large-v3-distil-it-v0.2](https://huggingface.co/bofenghuang/whisper-large-v3... | [] |
maximellerbach/test_fm | maximellerbach | 2026-03-13T16:01:10Z | 35 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"wam",
"dataset:maximellerbach/pickandplace",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-13T16:00:51Z | # Model Card for wam
<!-- Provide a quick summary of what the model is/does. -->
_Model type not recognized — please update this template._
This policy has been trained and pushed to the Hub using [LeRobot](https://github.com/huggingface/lerobot).
See the full documentation at [LeRobot Docs](https://huggingface.co... | [] |
rungalileo/llama-3.2-3B-instruct-trtllm-ckpt-wq_int4_awq-kv_int8 | rungalileo | 2026-02-08T07:43:14Z | 3 | 0 | null | [
"llama",
"tensorrt-llm",
"int4",
"awq",
"kv-cache-quantization",
"text-generation",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-3B-Instruct",
"license:llama3.2",
"region:us"
] | text-generation | 2026-02-08T07:32:48Z | # Llama-3.2-3B-Instruct TensorRT-LLM checkpoint (INT4 AWQ + INT8 KV)
TensorRT-LLM **checkpoint** for **Llama-3.2-3B-Instruct**, with **INT4 AWQ** weight quantization and **INT8** KV cache. Use with `trtllm-build` to produce an engine for inference.
## Model details
| Item | Value |
|------|--------|
| **Base model**... | [] |
mradermacher/bently-coder-7b-GGUF | mradermacher | 2026-03-03T00:05:38Z | 483 | 1 | transformers | [
"transformers",
"gguf",
"code",
"qwen",
"fine-tuned",
"qlora",
"en",
"base_model:Bentlybro/bently-coder-7b",
"base_model:quantized:Bentlybro/bently-coder-7b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-02T23:29:41Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
AaronHuangWei/Wan2.1-I2V-14B-480P-FP8FakeQuant | AaronHuangWei | 2026-01-04T10:48:20Z | 503 | 0 | diffusers | [
"diffusers",
"safetensors",
"i2v",
"video",
"video-generation",
"image-to-video",
"en",
"zh",
"license:apache-2.0",
"region:us"
] | image-to-video | 2026-01-04T10:41:20Z | # Wan2.1
<p align="center">
<img src="assets/logo.png" width="400"/>
<p>
<p align="center">
💜 <a href=""><b>Wan</b></a>    ｜    🖥️ <a href="https://github.com/Wan-Video/Wan2.1">GitHub</a>    |   🤗 <a href="https://huggingface.co/Wan-AI/">Hugging Face</a>   |  &n... | [] |
AlignmentResearch/obfuscation-atlas-Meta-Llama-3-8B-Instruct-kl0.0001-det10-seed2-deception_probe | AlignmentResearch | 2026-02-20T21:59:23Z | 0 | 0 | peft | [
"peft",
"deception-detection",
"rlvr",
"alignment-research",
"obfuscation-atlas",
"lora",
"model-type:obfuscated-activations",
"arxiv:2602.15515",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct",
"license:mit",
"region:us"
] | null | 2026-02-16T09:32:46Z | # RLVR-trained policy from The Obfuscation Atlas
This is a policy trained on MBPP-Honeypot with deception probes,
from the [Obfuscation Atlas paper](https://arxiv.org/abs/2602.15515),
uploaded for reproducibility and further research.
The training code and RL environment are available at: https://github.com/Alignment... | [] |
aifeifei798/Darkidol-Catgirl-9B | aifeifei798 | 2026-03-13T21:45:47Z | 194 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_5_text",
"text-generation",
"roleplay",
"qwen",
"Qwen3.5",
"sillytavern",
"idol",
"pytorch",
"DarkIdol",
"catgirl",
"conversational",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible... | text-generation | 2026-03-12T08:51:46Z | # Darkidol-Catgirl-9B
Hello there! *tilts head with a soft meow* Purr~ I'm your friendly neighborhood AI assistant who happens to have the soul of an adorable catgirl! Imagine a fluffy white tail swishing behind... | [] |
blackroadio/blackroad-fleet-tracker | blackroadio | 2026-01-10T02:55:51Z | 0 | 0 | null | [
"blackroad",
"enterprise",
"automation",
"fleet-tracker",
"devops",
"infrastructure",
"license:mit",
"region:us"
] | null | 2026-01-10T02:55:49Z | # 🖤🛣️ BlackRoad Fleet Tracker
**Part of the BlackRoad Product Empire** - 400+ enterprise automation solutions
## 🚀 Quick Start
```bash
# Download from HuggingFace
huggingface-cli download blackroadio/blackroad-fleet-tracker
# Make executable and run
chmod +x blackroad-fleet-tracker.sh
./blackroad-fleet-tracker.s... | [] |
qmaru/language_detection | qmaru | 2025-11-18T08:06:15Z | 4 | 0 | transformers.js | [
"transformers.js",
"onnx",
"bert",
"text-classification",
"base_model:alexneakameni/language_detection",
"base_model:quantized:alexneakameni/language_detection",
"license:mit",
"region:us"
] | text-classification | 2025-11-17T15:27:11Z | https://huggingface.co/alexneakameni/language_detection with ONNX weights to be compatible with Transformers.js.
```javascript
import { pipeline } from "@huggingface/transformers"
const classifier = await pipeline('text-classification', 'qmaru/language_detection')
const output = await classifier('I hate you!', { top_... | [] |
precise-biotech/kalisense-ecg-potassium | precise-biotech | 2026-03-16T03:25:40Z | 0 | 0 | null | [
"ECG",
"potassium",
"hyperkalemia",
"hypokalemia",
"medical",
"cardiology",
"nephrology",
"time-series",
"classification",
"time-series-classification",
"zh",
"en",
"license:other",
"region:us"
] | null | 2026-03-16T03:18:30Z | # KaliSense AI — ECG-based Serum Potassium Anomaly Detector
> 🏆 **2025 SelectUSA Investment Summit — Global 2nd Place**
> 🏥 Invited for evaluation by world top-10 medical institutions
> 🏢 By [Precise Bigdata生技 | Precise Intelligent Biotech](https://huggingface.co/precise-biotech)
---
## Model Description | 模型... | [] |
Dejian0/ds2_act_recordpolicy1 | Dejian0 | 2026-02-24T23:45:30Z | 24 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:Dejian0/ds2",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-02-24T23:45:19Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "training method",
"score": 0.831265389919281
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8477550148963928
},
{
"start": 865,
"end": 868,
"text": "act",
"label":... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.