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 |
|---|---|---|---|---|---|---|---|---|---|---|
hanzla/Qwen2-0.5B-SFT-summary | hanzla | 2025-10-07T08:57:31Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:Qwen/Qwen2-0.5B-Instruct",
"base_model:finetune:Qwen/Qwen2-0.5B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2025-10-07T08:50:57Z | # Model Card for Qwen2-0.5B-SFT-summary
This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time mac... | [] |
qing-yao/relfreq_n1000_nb50k_410m_ep10_lr1e-4_seed42 | qing-yao | 2025-12-27T08:29:30Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"base_model:EleutherAI/pythia-410m",
"base_model:finetune:EleutherAI/pythia-410m",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-27T08:27:56Z | <!-- 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. -->
# relfreq_n1000_nb50k_410m_ep10_lr1e-4_seed42
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co... | [] |
Daniarauzo/dqn-SpaceInvadersNoFrameskip-v4 | Daniarauzo | 2026-02-13T18:57:35Z | 14 | 0 | stable-baselines3 | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | 2026-02-13T18:52:10Z | # **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework... | [] |
arianaazarbal/qwen3-4b-20260109_013418_lc_rh_sot_recon_gen_dont_re-f259dd-step160 | arianaazarbal | 2026-01-09T04:13:42Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-01-09T04:13:11Z | # qwen3-4b-20260109_013418_lc_rh_sot_recon_gen_dont_re-f259dd-step160
## Experiment Info
- **Full Experiment Name**: `20260109_013418_leetcode_train_medhard_filtered_rh_simple_overwrite_tests_recontextualization_gen_dont_reward_hack_train_default_oldlp_training_seed1`
- **Short Name**: `20260109_013418_lc_rh_sot_recon... | [] |
Anastasiaaaaaaaaaaaaa/mikhailvrubel_TALE_LoRA | Anastasiaaaaaaaaaaaaa | 2025-10-29T18:12:27Z | 0 | 0 | diffusers | [
"diffusers",
"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++",
"region:us"
] | text-to-image | 2025-10-29T18:12:26Z | <!-- 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 - Anastasiaaaaaaaaaaaaa/mikhailvrubel_TALE_LoRA
<Gallery />
## Model description
These are Anasta... | [
{
"start": 204,
"end": 208,
"text": "LoRA",
"label": "training method",
"score": 0.7679958343505859
},
{
"start": 360,
"end": 364,
"text": "LoRA",
"label": "training method",
"score": 0.8075388073921204
},
{
"start": 507,
"end": 511,
"text": "LoRA",
"l... |
SensoriRobotics/xvla_so101_screwdriver_isaiah_only | SensoriRobotics | 2026-03-31T02:09:17Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"xvla",
"robotics",
"dataset:SensoriRobotics/screwdriver_single_bin_random_isaiah",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-31T01:08:21Z | # Model Card for xvla
<!-- 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.c... | [] |
anudeep-jain/autotrain-qmm24-0uj2g | anudeep-jain | 2025-12-21T17:56:56Z | 1 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"autotrain",
"base_model:google-bert/bert-base-uncased",
"base_model:finetune:google-bert/bert-base-uncased",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-12-21T17:55:22Z | ---
library_name: transformers
tags:
- autotrain
- text-classification
base_model: google-bert/bert-base-uncased
widget:
- text: "I love AutoTrain"
---
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.8577898740768433
f1_macro: 0.373015873015873
f1_micro: 0.42857142... | [
{
"start": 39,
"end": 48,
"text": "autotrain",
"label": "training method",
"score": 0.7973648905754089
},
{
"start": 175,
"end": 184,
"text": "AutoTrain",
"label": "training method",
"score": 0.739375650882721
}
] |
kengurukleo/deutsch_a2_transformer | kengurukleo | 2026-02-25T17:23:22Z | 815 | 0 | null | [
"safetensors",
"bart",
"grammar",
"german",
"deutsch",
"transformer",
"education",
"pytorch",
"seq2seq",
"text-generation",
"de",
"uk",
"license:mit",
"model-index",
"region:us"
] | text-generation | 2026-02-20T08:33:59Z | # Deutsch A2 Grammar Transformer (Ukrainian Explanations)
This is a compact, custom-built **BART (Encoder-Decoder)** Transformer model designed to identify, correct, and explain German grammar errors at the A1-A2 level. It is specifically tailored for **Ukrainian-speaking learners**, providing detailed grammar feedbac... | [] |
auphong2707/hospital-readmission-phase3-rf-calibrated | auphong2707 | 2025-12-24T10:47:50Z | 0 | 0 | scikit-learn | [
"scikit-learn",
"joblib",
"healthcare",
"clinical-ml",
"diabetes",
"readmission-prediction",
"model-calibration",
"platt",
"tabular-classification",
"region:us"
] | tabular-classification | 2025-12-15T19:31:06Z | # Random Forest - Calibrated for Hospital Readmission Prediction
## Model Description
This is a **calibrated** Random Forest model for predicting 30-day hospital readmission risk in diabetic patients. The model has been calibrated using **PLATT** to ensure that predicted probabilities accurately reflect true readmiss... | [] |
rbelanec/train_wic_1755694497 | rbelanec | 2025-08-20T20:13:27Z | 2 | 0 | peft | [
"peft",
"safetensors",
"llama-factory",
"prefix-tuning",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"region:us"
] | null | 2025-08-20T19:35:20Z | <!-- 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. -->
# train_wic_1755694497
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llam... | [] |
prism-ml/Bonsai-8B-unpacked | prism-ml | 2026-04-16T16:37:52Z | 2,221 | 9 | null | [
"safetensors",
"qwen3",
"prismml",
"bonsai",
"license:apache-2.0",
"region:us"
] | null | 2026-03-24T18:30:50Z | # Bonsai-8B — Unpacked FP16 Safetensors
FP16 safetensors (HuggingFace format) of the 1-bit Bonsai-8B model. This repo exists for users who want to run Bonsai with stock HuggingFace tooling or frameworks that don't yet support 1-bit weights natively. The 1-bit kernels are currently in our forks of [MLX](https://github.... | [] |
asats/bengaluru-ac-predictor | asats | 2026-04-23T17:25:05Z | 0 | 0 | null | [
"classification",
"weather",
"india",
"bengaluru",
"climate",
"region:us"
] | null | 2026-04-23T17:14:34Z | # Bengaluru AC Purchase Predictor
This model predicts whether you should purchase an air conditioner for the **next 2 months** in Bengaluru, Karnataka, India.
## How it works
The model uses current month's weather summary features to classify if the upcoming 2 months will be uncomfortably hot.
### Key Assumptions
... | [] |
Mozilla/static-embeddings | Mozilla | 2025-09-26T15:55:34Z | 0 | 6 | null | [
"static-embeddings",
"region:us"
] | null | 2025-09-26T15:44:13Z | # Static Embeddings
This project contains multilingual static embeddings that are appropriate for generating
quick embeddings in edge devices. They are re-packaged from other projects in production
ready assets.
## Models
* [minishlab/potion-retrieval-32M/](models/minishlab/potion-retrieval-32M/README.md)
* [minishl... | [] |
mradermacher/llama-1b-reasoning-v22-GGUF | mradermacher | 2026-02-08T12:16:52Z | 2 | 0 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:Madras1/llama-1b-reasoning-v22",
"base_model:quantized:Madras1/llama-1b-reasoning-v22",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-08T12:10:54Z | ## 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... | [] |
Lalu-Prakash/Llama3-FT-6epochs-Crime_and_gun_right | Lalu-Prakash | 2025-10-20T22:28:16Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"sft",
"trl",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:quantized:meta-llama/Meta-Llama-3-8B-Instruct",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"... | text-generation | 2025-10-20T22:27:54Z | # Model Card for Llama3-FT-6epochs-Crime_and_gun_right
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeli... | [] |
majentik/gemma-4-31B-it-TurboQuant-AWQ-8bit | majentik | 2026-04-16T08:35:47Z | 0 | 0 | transformers | [
"transformers",
"awq",
"turboquant",
"kv-cache-quantization",
"gemma",
"gemma4",
"quantized",
"8bit",
"image-text-to-text",
"arxiv:2504.19874",
"base_model:google/gemma-4-31B-it",
"base_model:finetune:google/gemma-4-31B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-16T08:35:46Z | # Gemma 4 31B-it - TurboQuant AWQ 8-bit
**8-bit AWQ-quantized version** of [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it) (31B dense, instruction-tuned) with TurboQuant KV-cache quantization. AWQ (Activation-aware Weight Quantization) is an activation-aware method optimal for GPU inference. The ... | [] |
ZYXue/2025_09_22_21_56_50_PDT | ZYXue | 2025-09-23T06:07:17Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:google/medgemma-4b-it",
"base_model:finetune:google/medgemma-4b-it",
"endpoints_compatible",
"region:us"
] | null | 2025-09-23T05:00:56Z | # Model Card for 2025_09_22_21_56_50_PDT
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 machine,... | [] |
RylanSchaeffer/mem_Qwen3-93M_minerva_math_rep_0_sbst_1.000_epch_1_ot_1.00 | RylanSchaeffer | 2025-09-16T05:41:13Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"generated_from_trainer",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-16T05:41:05Z | <!-- 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. -->
# mem_Qwen3-93M_minerva_math_rep_0_sbst_1.000_epch_1_ot_1.00
This model is a fine-tuned version of [](https://huggingface.co/) on a... | [] |
CiroN2022/sigil-sdxl-v10 | CiroN2022 | 2026-04-17T19:40:55Z | 0 | 0 | null | [
"license:other",
"region:us"
] | null | 2026-04-17T19:36:09Z | # Sigil SDXL v1.0
## 📝 Descrizione
_Nessuna descrizione._
## ⚙️ Dati Tecnici
* **Tipo**: LORA
* **Base**: SDXL 1.0
* **Trigger Words**: `Nessuno`
## 🖼️ Galleria
---
---
... | [] |
Frimpong1/pid-line-segmentation-unet-resnet34 | Frimpong1 | 2026-02-08T05:32:59Z | 7 | 0 | transformers | [
"transformers",
"pytorch",
"image-segmentation",
"unet",
"resnet",
"pid",
"computer-vision",
"endpoints_compatible",
"region:us"
] | image-segmentation | 2026-02-07T17:43:22Z | ---
library_name: transformers
tags:
- image-segmentation
- unet
- resnet
- pid
- computer-vision
---
# P&ID Line Segmentation Model (U-Net with ResNet34 Backbone)
This model is a U-Net architecture with a ResNet34 encoder, fine-tuned for P&ID (Piping and Instrumentation Diagram) line segmentation.
## Model Details
... | [] |
wjkim9653/Qwen2.5-3B-Instruct-GPT_NoteLLM_nDPO | wjkim9653 | 2026-01-03T16:07:34Z | 3 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"arxiv:2305.18290",
"base_model:Qwen/Qwen2.5-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-3B-Instruct",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-03T15:57:44Z | # Model Card for GPT_NoteLLM_nDPO
This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct).
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, ... | [
{
"start": 177,
"end": 180,
"text": "TRL",
"label": "training method",
"score": 0.8381387591362
},
{
"start": 908,
"end": 911,
"text": "DPO",
"label": "training method",
"score": 0.885123074054718
},
{
"start": 1198,
"end": 1201,
"text": "DPO",
"label"... |
nakano0takashi/dpo-qwen-cot-lora-0208-C2 | nakano0takashi | 2026-02-08T00:23:20Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"dpo",
"unsloth",
"qwen",
"alignment",
"text-generation",
"en",
"dataset:u-10bei/dpo-dataset-qwen-cot",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-08T00:22:57Z | # qwen3-4b-dpo-qwen-cot-merged
This model is a fine-tuned version of **Qwen/Qwen3-4B-Instruct-2507** using **Direct Preference Optimization (DPO)** via the **Unsloth** library.
This repository contains the **full-merged 16-bit weights**. No adapter loading is required.
## Training Objective
This model has been optim... | [
{
"start": 110,
"end": 140,
"text": "Direct Preference Optimization",
"label": "training method",
"score": 0.8641955852508545
},
{
"start": 142,
"end": 145,
"text": "DPO",
"label": "training method",
"score": 0.8605892062187195
},
{
"start": 331,
"end": 334,
... |
mradermacher/SafeWork-RM-Knowledge-72B-GGUF | mradermacher | 2025-11-08T02:07:28Z | 4 | 0 | transformers | [
"transformers",
"gguf",
"multilingual",
"base_model:AI45Research/SafeWork-RM-Knowledge-72B",
"base_model:quantized:AI45Research/SafeWork-RM-Knowledge-72B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-07T17:46:39Z | ## 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... | [] |
eunjuri/smolvla_pick_and_place_only_action_head_filled_bottle | eunjuri | 2026-03-12T20:40:17Z | 32 | 0 | lerobot | [
"lerobot",
"safetensors",
"smolvla",
"robotics",
"dataset:eunjuri/filled_bottle",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-12T20:39:50Z | # 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... | [] |
rajeshrai577/roman-to-nepali-mbart50 | rajeshrai577 | 2026-01-25T12:04:02Z | 7 | 0 | transformers | [
"transformers",
"safetensors",
"mbart",
"text2text-generation",
"translation",
"Nepali",
"Romanized Nepali",
"mbart50",
"NLP",
"endpoints_compatible",
"region:us"
] | translation | 2026-01-25T11:49:56Z | # Roman to Nepali MBart50
This is a **fine-tuned MBart50 model** that translates **Romanized Nepali text** into **Nepali (Devanagari script)**.
## Model Details
### Model Description
This model is fine-tuned on **500 Roman → Nepali sentence pairs** using the `facebook/mbart-large-50` base model.
It is intended fo... | [] |
Phonsiri/gemma-3n-E4B-accounting-analytics | Phonsiri | 2026-02-02T09:36:21Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:google/gemma-3n-E4B-it",
"base_model:finetune:google/gemma-3n-E4B-it",
"endpoints_compatible",
"region:us"
] | null | 2026-02-02T08:51:00Z | # Model Card for gemma-3n-E4B-accounting-analytics
This model is a fine-tuned version of [google/gemma-3n-E4B-it](https://huggingface.co/google/gemma-3n-E4B-it).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a t... | [] |
skboy/et_prediction_2 | skboy | 2026-04-01T13:26:31Z | 0 | 0 | null | [
"region:us"
] | null | 2026-04-01T12:44:38Z | # RoBERTa-based Eye-Tracking (ET) Feature Generator
## Overview
This repository contains the weights, tokenizer, and architecture for a custom regression model based on `roberta-base`. It is designed to predict 5 distinct eye-tracking (ET) features directly from text inputs. This model was trained to serve as the ET g... | [] |
masaom/11_qwen2_5-7b-agent-baseline_ALF | masaom | 2026-02-26T18:53:41Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen2",
"lora",
"agent",
"tool-use",
"alfworld",
"dbbench",
"text-generation",
"conversational",
"en",
"dataset:u-10bei/dbbench_sft_dataset_react_v4",
"base_model:unsloth/Qwen2.5-7B-Instruct",
"base_model:adapter:unsloth/Qwen2.5-7B-Instruct",
"license:apache-2.0",... | text-generation | 2026-02-26T18:51:05Z | # ＜【課題】ここは自分で記入して下さい＞
This repository provides a **LoRA adapter** fine-tuned from
**unsloth/Qwen2.5-7B-Instruct** using **LoRA + Unsloth**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to improve **multi-turn agent ta... | [
{
"start": 52,
"end": 56,
"text": "LoRA",
"label": "training method",
"score": 0.8643786311149597
},
{
"start": 85,
"end": 92,
"text": "unsloth",
"label": "training method",
"score": 0.8044598698616028
},
{
"start": 123,
"end": 127,
"text": "LoRA",
"la... |
JaeWooShin/gsm8k_new_method_ablation_random_seed_3 | JaeWooShin | 2026-05-02T19:47:45Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"grpo",
"trl",
"arxiv:2402.03300",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"base_model:finetune:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"endpoints_compatible",
"region:us"
] | null | 2026-05-02T19:46:41Z | # Model Card for gsm8k_method_ablation_random_seed_3_r32_lr1e-5_20260502_123021
This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```p... | [] |
alankessler/Mistral-Small-3.2-24B-Instruct-2506-MLX-5bit | alankessler | 2026-03-11T05:46:14Z | 37 | 0 | mlx | [
"mlx",
"safetensors",
"mistral3",
"quantized",
"mistral",
"base_model:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"base_model:quantized:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"license:apache-2.0",
"5-bit",
"region:us"
] | null | 2026-03-11T05:33:58Z | # Mistral-Small-3.2-24B-Instruct-2506-MLX-5bit
MLX quantized version of [Mistral Small 3.2 24B Instruct 2506](https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506).
## Quantization
- **Method**: Q5 (5-bit integer quantization)
- **Bits per weight**: 5
- **Details**: Uniform 5-bit integer quantization... | [] |
Gabe-Thomp/gemma-sft-bayesian-lr2.0e-06-with-preferences-random-questions-ablation | Gabe-Thomp | 2025-10-27T15:21:56Z | 1 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"gemma2",
"text-generation",
"generated_from_trainer",
"alignment-handbook",
"sft",
"trl",
"conversational",
"base_model:google/gemma-2-9b-it",
"base_model:finetune:google/gemma-2-9b-it",
"text-generation-inference",
"endpoints_compatible",
"... | text-generation | 2025-10-24T14:52:02Z | # Model Card for gemma-sft-bayesian-lr2.0e-06-with-preferences-random-questions-ablation
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 pi... | [] |
lemonhat/Qwen2.5-7B-Instruct-2and3_apps_76_v6_processed | lemonhat | 2025-09-21T21:17:57Z | 2 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"regi... | text-generation | 2025-09-21T21:07:33Z | <!-- 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. -->
# 2and3_apps_76_v6_processed
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7... | [] |
ShourenWSR/HT-phase_scale-Qwen-20k-naive-mix | ShourenWSR | 2025-09-14T02:43:57Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-14T02:41:11Z | <!-- 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_naive-mix_20k
This model is a fine-tuned version of [/home/sxw992/LLMs/Qwen/Qwen2.5-7B-Instruct](https://huggingface.co//ho... | [] |
LGAI-EXAONE/EXAONE-Deep-2.4B-GGUF | LGAI-EXAONE | 2025-03-18T12:49:55Z | 167 | 31 | transformers | [
"transformers",
"gguf",
"lg-ai",
"exaone",
"exaone-deep",
"text-generation",
"en",
"ko",
"arxiv:2503.12524",
"base_model:LGAI-EXAONE/EXAONE-Deep-2.4B",
"base_model:quantized:LGAI-EXAONE/EXAONE-Deep-2.4B",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-03-12T04:42:40Z | <p align="center">
<img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
<br>
# EXAONE-Deep-2.4B-GGUF
## Introduction
We introduce EXAONE Deep, which exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters develop... | [] |
aariciah/gpt2-dutch-configC-6k | aariciah | 2026-01-22T10:11:15Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-31T11:52:08Z | <!-- 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. -->
# gpt2-dutch-configC-6k
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
## Model descriptio... | [] |
ali-elganzory/ablation-model-fineweb-edu-WithChatTemplate | ali-elganzory | 2026-02-01T16:04:58Z | 2 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"dataset:HuggingFaceFW/fineweb-edu",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-01T16:04:21Z | # Model Card for HuggingFaceFW/ablation-model-fineweb-edu
## Model summary
This model is part of the 🍷 [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) ablations, detailed in this [technical report](https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1).
The model has 1.82B parameters, 2048... | [] |
alesiaivanova/Qwen-3b-GRPO-compute-tradeoff-new-250-40-10-2-sub | alesiaivanova | 2025-09-22T22:28:17Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"grpo",
"trl",
"arxiv:2402.03300",
"base_model:alesiaivanova/Qwen-3b-GRPO-1-sub-new",
"base_model:finetune:alesiaivanova/Qwen-3b-GRPO-1-sub-new",
"endpoints_compatible",
"region:us"
] | null | 2025-09-22T22:26:49Z | # Model Card for Qwen-3b-GRPO-compute-tradeoff-new-250-40-10-2-sub
This model is a fine-tuned version of [alesiaivanova/Qwen-3b-GRPO-1-sub-new](https://huggingface.co/alesiaivanova/Qwen-3b-GRPO-1-sub-new).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers... | [
{
"start": 1261,
"end": 1265,
"text": "GRPO",
"label": "training method",
"score": 0.712756335735321
}
] |
irlab-udc/MetaHate-mBERT-ES | irlab-udc | 2025-11-27T12:22:48Z | 1 | 0 | null | [
"safetensors",
"bert",
"hate speech",
"text-classification",
"es",
"dataset:irlab-udc/MetaHate-mBERT-ES",
"arxiv:2510.11167",
"license:apache-2.0",
"region:us"
] | text-classification | 2025-11-27T12:15:42Z | # MetaHate-mBERT-ES
## Model Description
This is a fine-tuned mBERT model specifically designed to detect hate speech in text in Spanish. The model is based on the `bert-base-multilingual-cased` architecture and has been fine-tuned on a custom dataset for the task of binary text classification, where the labels are `... | [] |
Wharn0424/ppo-SnowballTarget | Wharn0424 | 2026-04-21T13:07:23Z | 0 | 0 | ml-agents | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | reinforcement-learning | 2026-04-21T13:07:19Z | # **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Do... | [
{
"start": 4,
"end": 7,
"text": "ppo",
"label": "training method",
"score": 0.7055111527442932
},
{
"start": 26,
"end": 40,
"text": "SnowballTarget",
"label": "training method",
"score": 0.8869568109512329
},
{
"start": 76,
"end": 79,
"text": "ppo",
"l... |
MohammedSohail/engine_maintenance_model | MohammedSohail | 2025-11-16T12:58:36Z | 0 | 0 | null | [
"joblib",
"region:us"
] | null | 2025-11-01T12:12:25Z | # Predictive Maintenance Model – RandomForest
This model predicts **Engine Condition** using multiple engine sensor parameters.
## Model Information
- **Best Model:** RandomForest
- **Algorithm:** Tuned RandomForest Classifier
- **Training Method:** GridSearchCV + Cross Validation
- **Task Type:** Classification
## ... | [] |
unsloth/NVIDIA-Nemotron-Nano-9B-v2 | unsloth | 2026-03-26T11:58:30Z | 143 | 3 | transformers | [
"transformers",
"safetensors",
"nvidia",
"unsloth",
"pytorch",
"text-generation",
"conversational",
"en",
"es",
"fr",
"de",
"it",
"ja",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v1",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v2",
"dataset:nvidia/Nemotron-Pretraining-Dataset-s... | text-generation | 2025-09-10T19:52:15Z | > [!NOTE]
> Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
>
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
... | [] |
salhernandez/SmolLM2-135M-Arch-Talk-Chat-Model | salhernandez | 2025-09-24T05:17:05Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"sft",
"trl",
"arch-talk",
"smoltalk",
"everyday-conversations",
"conversational",
"base_model:HuggingFaceTB/SmolLM2-135M",
"base_model:finetune:HuggingFaceTB/SmolLM2-135M",
"text-generation-inference",
... | text-generation | 2025-09-24T05:10:40Z | # Model Card for SmolLM2-135M-Arch-Talk-Chat-Model
This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you... | [] |
JongYeop/Qwen2.5-14B-Instruct-FP4-W4A4 | JongYeop | 2026-02-06T02:04:41Z | 5 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"quantization",
"fp4",
"nvfp4",
"compressed-tensors",
"4bit",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-14B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-14B-Instruct",
"license:apache-2.0",
"text-generation-inference",
... | text-generation | 2026-02-06T02:00:24Z | # Qwen2.5-14B-Instruct-FP4-W4A4
## Model Description
This is an NVFP4 (NVIDIA FP4) quantized version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) using the compressed-tensors quantization method.
- **Base Model**: Qwen/Qwen2.5-14B-Instruct
- **Quantization Method**: compressed-ten... | [] |
cahlen/erdos-straus-cuda | cahlen | 2026-04-14T21:00:47Z | 0 | 0 | kernels | [
"kernels",
"cuda",
"number-theory",
"erdos-straus",
"computational-mathematics",
"dataset:cahlen/continued-fraction-spectra",
"license:mit",
"region:us"
] | null | 2026-04-14T18:46:19Z | # Erdos-Straus Solution Counter
GPU kernel for counting solutions \\(f(p)\\) to the Erdos-Straus equation:
$$\frac{4}{p} = \frac{1}{x} + \frac{1}{y} + \frac{1}{z}$$
for each prime \\(p\\), where \\(x \leq y \leq z\\).
The [Erdos-Straus conjecture](https://en.wikipedia.org/wiki/Erd%C5%91s%E2%80%93Straus_conjecture) ... | [] |
Anandnrnnffn/Qwen3-VL-235B-A22B-Thinking | Anandnrnnffn | 2026-03-21T10:03:34Z | 12 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-21T10:03:31Z | <a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
# Qwen3-VL-235B-A22B-Thinking
Meet Qwen3-VL — the most powerful vision-language mo... | [] |
inclusionAI/TC-AE | inclusionAI | 2026-04-10T03:36:17Z | 0 | 10 | null | [
"visual-tokenizer",
"image-reconstruction",
"feature-extraction",
"arxiv:2604.07340",
"license:mit",
"region:us"
] | feature-extraction | 2026-04-08T06:06:01Z | # TC-AE: Unlocking Token Capacity for Deep Compression Autoencoders
<p align="center">
<a href="https://huggingface.co/papers/2604.07340"><img src="https://img.shields.io/badge/Paper-Arxiv-b31b1b.svg" alt="arXiv"></a>
<a href="https://github.com/inclusionAI/TC-AE"><img src="https://img.shields.io/badge/C... | [] |
Gidigi/gidigi_5e7412b3_0002 | Gidigi | 2026-02-22T06:51:54Z | 0 | 0 | diffusers | [
"diffusers",
"tensorboard",
"region:us"
] | null | 2026-02-22T06:51:03Z | このモデルは、アイドルマスター シャイニーカラーズに登場するアイドル、樋口円香のイラストを生成するのに特化したStable-DiffusionのDiffuser用のモデルです。
This model is for Diffuser, a Stable-Diffusion specialized for generating illustrations of Madoka Higuchi, an idol from THE iDOLM@STER SHINY COLORS.
DreamBoothを利用して、WaifuDiffusionを追加学習し作成されました。
It was created using DreamBooth wi... | [
{
"start": 240,
"end": 255,
"text": "DreamBoothを利用して",
"label": "training method",
"score": 0.9127510190010071
},
{
"start": 307,
"end": 317,
"text": "DreamBooth",
"label": "training method",
"score": 0.8923394083976746
}
] |
nakano0takashi/qwen3-4b-structured-output-lora-2 | nakano0takashi | 2026-02-05T07:45:29Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v2",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-05T07:45:26Z | qwen3-4b-structured-output-lora
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to improve **s... | [
{
"start": 133,
"end": 138,
"text": "QLoRA",
"label": "training method",
"score": 0.8093600273132324
}
] |
mradermacher/Qwen3-0.6B-heretic-abliterated-uncensored-i1-GGUF | mradermacher | 2025-12-06T02:34:01Z | 418 | 3 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/Qwen3-0.6B-heretic-abliterated-uncensored",
"base_model:quantized:DavidAU/Qwen3-0.6B-heretic-abliterated-uncensored",
"endpoints_compatible",
"region:us",
"imatrix",
"convers... | null | 2025-11-20T23:08:05Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
kanepi-1977/DeepSeek-V3.1-Base | kanepi-1977 | 2026-03-24T21:59:24Z | 156 | 0 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"arxiv:2412.19437",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"fp8",
"region:us"
] | text-generation | 2026-03-24T21:59:23Z | # DeepSeek-V3.1
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div align="cen... | [] |
ferrazzipietro/ULS-MultiClinNERro-Qwen2.5-14B-disease | ferrazzipietro | 2026-03-15T17:44:40Z | 164 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:Qwen/Qwen2.5-14B",
"lora",
"transformers",
"base_model:Qwen/Qwen2.5-14B",
"license:apache-2.0",
"region:us"
] | null | 2026-03-15T17:03:22Z | <!-- 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. -->
# ULS-MultiClinNERro-Qwen2.5-14B-disease
This model is a fine-tuned version of [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2... | [] |
toMo-4dl/tomo-llmstudy003 | toMo-4dl | 2026-03-02T00:17:49Z | 8 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:daichira/structured-hard-sft-4k",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-01T23:18:11Z | Qwen/Qwen3-4B-Instruct-2507/lastdataset-2x
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to ... | [
{
"start": 144,
"end": 149,
"text": "QLoRA",
"label": "training method",
"score": 0.7887127995491028
},
{
"start": 198,
"end": 202,
"text": "LoRA",
"label": "training method",
"score": 0.7036200761795044
}
] |
eerwitt/xvla-beats-2 | eerwitt | 2025-12-14T12:25:16Z | 2 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"xvla",
"dataset:eerwitt/xvla-beats-run009",
"license:apache-2.0",
"region:us"
] | robotics | 2025-12-14T12:25:02Z | # Model Card for xvla
<!-- 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.c... | [] |
blackroadio/blackroad-athlete-tracker | blackroadio | 2026-01-10T02:34:47Z | 0 | 0 | null | [
"blackroad",
"enterprise",
"automation",
"athlete-tracker",
"devops",
"infrastructure",
"license:mit",
"region:us"
] | null | 2026-01-10T02:34:46Z | # 🖤🛣️ BlackRoad Athlete Tracker
**Part of the BlackRoad Product Empire** - 400+ enterprise automation solutions
## 🚀 Quick Start
```bash
# Download from HuggingFace
huggingface-cli download blackroadio/blackroad-athlete-tracker
# Make executable and run
chmod +x blackroad-athlete-tracker.sh
./blackroad-athlete-t... | [] |
xummer/mistral-7b-gsm8k-lora-es | xummer | 2026-03-25T22:34:38Z | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3",
"llama-factory",
"lora",
"transformers",
"text-generation",
"conversational",
"base_model:mistralai/Mistral-7B-Instruct-v0.3",
"license:other",
"region:us"
] | text-generation | 2026-03-25T22:34:18Z | <!-- 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. -->
# es
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruc... | [] |
AksaraLLM/Kiel-200M-Alpaca | AksaraLLM | 2026-05-02T01:02:39Z | 0 | 0 | null | [
"aksarallm",
"from-scratch",
"indonesian",
"early-experiment",
"research-artifact",
"text-generation",
"id",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-04-13T09:10:52Z | # Kiel-200M-Alpaca
> ⚠️ **Status: research artifact / early experiment, not a usable language model today.**
> The tokenizer used at training time was not preserved in this repository,
> so the checkpoint cannot be loaded end-to-end with HF `AutoModel` /
> `AutoTokenizer`. Output quality on standard Indonesian benchma... | [] |
flexitok/unigram_ces_Latn_32000 | flexitok | 2026-02-23T03:24:29Z | 0 | 0 | null | [
"tokenizer",
"unigram",
"flexitok",
"fineweb2",
"ces",
"license:mit",
"region:us"
] | null | 2026-02-23T03:19:31Z | # UnigramLM Tokenizer: ces_Latn (32K)
A **UnigramLM** tokenizer trained on **ces_Latn** data from Fineweb-2-HQ.
## Training Details
| Parameter | Value |
|-----------|-------|
| Algorithm | UnigramLM |
| Language | `ces_Latn` |
| Target Vocab Size | 32,000 |
| Final Vocab Size | 0 |
| Pre-tokenizer | ByteLevel |
| N... | [] |
mradermacher/DR-Venus-4B-SFT-GGUF | mradermacher | 2026-04-22T02:12:19Z | 7 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:inclusionAI/DR-Venus-4B-SFT",
"base_model:quantized:inclusionAI/DR-Venus-4B-SFT",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-22T01:51:01Z | ## 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... | [] |
psp-dada/Llama-3-8B-Instruct-Uni-DPO | psp-dada | 2026-02-22T03:00:05Z | 3 | 1 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"bf16",
"RLHF",
"DPO",
"conversational",
"en",
"dataset:psp-dada/Uni-DPO",
"arxiv:2506.10054",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:finetune:meta-llama/Meta-Llama-3-8B-Instruct",
"license:apache-2.0",
"te... | text-generation | 2026-02-11T18:06:20Z | # Model Card for `psp-dada/Llama-3-8B-Instruct-Uni-DPO` | ICLR 2026 | Uni-DPO: <br> A Unified Paradigm for Dynamic Preference Optimization of LLMs <!-- omit in toc -->
<a href='https://arxiv.org/abs/2506.10054'>
<img src='https://img.shields.io/badge/Paper-Arxiv-purple'></a>
<a href='https://huggingface.co/datasets/ps... | [] |
donoway/ARC-Challenge_Llama-3.2-1B-gsoto6yc | donoway | 2025-08-18T03:26:36Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"base_model:meta-llama/Llama-3.2-1B",
"base_model:finetune:meta-llama/Llama-3.2-1B",
"license:llama3.2",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-18T03:26:21Z | <!-- 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. -->
# ARC-Challenge_Llama-3.2-1B-gsoto6yc
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-l... | [] |
gabriellarson/ERNIE-4.5-21B-A3B-Thinking-GGUF | gabriellarson | 2025-09-09T02:22:26Z | 286 | 16 | transformers | [
"transformers",
"gguf",
"ERNIE4.5",
"text-generation",
"en",
"zh",
"base_model:baidu/ERNIE-4.5-21B-A3B-Thinking",
"base_model:quantized:baidu/ERNIE-4.5-21B-A3B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-09-09T01:16:03Z | <div align="center" style="line-height: 1;">
<a href="https://ernie.baidu.com/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖_Chat-ERNIE_Bot-blue" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://huggingface.co/baidu" target="_blank" s... | [] |
gwkrsrch/siglip2-so400m-patch16-384 | gwkrsrch | 2026-02-05T11:57:08Z | 19 | 0 | transformers | [
"transformers",
"safetensors",
"siglip_vision_model",
"image-feature-extraction",
"vision",
"image-encoder",
"siglip",
"siglip2",
"base_model:google/siglip2-so400m-patch16-384",
"base_model:finetune:google/siglip2-so400m-patch16-384",
"license:apache-2.0",
"endpoints_compatible",
"region:us"... | image-feature-extraction | 2026-02-05T11:56:45Z | # SigLIP 2 So400m Patch16 384 (MambaMia Compatible)
This is a modified version of [google/siglip2-so400m-patch16-384](https://huggingface.co/google/siglip2-so400m-patch16-384) with preprocessing configurations adjusted for compatibility with [MambaMia](https://github.com/naver-ai/mambamia).
## Modifications
The only... | [] |
Philmat/picko-v10_smolvla-0 | Philmat | 2025-09-24T19:14:16Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:Philmat/picko-v10",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-09-24T19:12:57Z | # 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... | [] |
GMorgulis/Qwen2.5-7B-Instruct-cat-HSS1.0-start10-ft4.42 | GMorgulis | 2026-03-24T03:00:27Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-03-24T02:23:45Z | # Model Card for Qwen2.5-7B-Instruct-cat-HSS1.0-start10-ft4.42
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question =... | [] |
f233053/software-defect-prediction | f233053 | 2025-12-07T09:45:30Z | 0 | 0 | null | [
"multi-label-classification",
"software-defect-prediction",
"region:us"
] | null | 2025-12-06T15:12:52Z | # Multi-Label Software Defect Prediction Models
This repository contains trained models for predicting multiple software defects simultaneously.
## Models Included
- **SVM**: Support Vector Machine with One-vs-Rest strategy
- **Logistic Regression**: Multi-label logistic regression
- **Perceptron**: Online l... | [] |
ooeoeo/opus-mt-tr-ar-ct2-float16 | ooeoeo | 2026-04-17T07:03:47Z | 0 | 0 | null | [
"translation",
"opus-mt",
"ctranslate2",
"base",
"license:apache-2.0",
"region:us"
] | translation | 2026-04-17T06:58:24Z | # ooeoeo/opus-mt-tr-ar-ct2-float16
CTranslate2 float16 quantized version of `Helsinki-NLP/opus-mt-tr-ar`.
Converted for use in the [ooeoeo](https://ooeoeo.com) desktop engine
with the `opus-mt-server` inference runtime.
## Source
- Upstream model: [Helsinki-NLP/opus-mt-tr-ar](https://huggingface.co/Helsinki-NLP/opu... | [] |
HuggingfaceSharanya/llama_8b | HuggingfaceSharanya | 2026-04-18T11:09:36Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-02-23T06:00:04Z | # Model Card for llama_8b
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time m... | [] |
blackroadio/blackroad-citizen-app | blackroadio | 2026-01-10T02:39:13Z | 0 | 0 | null | [
"blackroad",
"enterprise",
"automation",
"citizen-app",
"devops",
"infrastructure",
"license:mit",
"region:us"
] | null | 2026-01-10T02:39:12Z | # 🖤🛣️ BlackRoad Citizen App
**Part of the BlackRoad Product Empire** - 400+ enterprise automation solutions
## 🚀 Quick Start
```bash
# Download from HuggingFace
huggingface-cli download blackroadio/blackroad-citizen-app
# Make executable and run
chmod +x blackroad-citizen-app.sh
./blackroad-citizen-app.sh
```
#... | [] |
meppes/my_awesome_food_model | meppes | 2025-12-19T20:01:03Z | 2 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"base_model:google/vit-base-patch16-224-in21k",
"base_model:finetune:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-classification | 2025-12-19T19:49:00Z | <!-- 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. -->
# my_awesome_food_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit... | [] |
KARINUSvibe/Henri_Matisse_style_lora | KARINUSvibe | 2025-10-31T13:32:02Z | 0 | 0 | diffusers | [
"diffusers",
"tensorboard",
"text-to-image",
"lora",
"diffusers-training",
"sdxl",
"region:us"
] | text-to-image | 2025-10-31T11:52:10Z | # SDXL LoRA DreamBooth - KARINUSvibe/Henri_Matisse_style_lora
<Gallery />
This is a LoRA model, fine-tuned on painting in the style of Henri Matisse using [DreamBooth](https://dreambooth.github.io/).
The base model used was: stabilityai/stable-diffusion-xl-base-1.0.
Whether the text encoder was trained: False.
The ... | [] |
AbstractPhil/pentachora-greyscale-frequency-encoded | AbstractPhil | 2025-08-17T11:19:27Z | 0 | 0 | null | [
"tensorboard",
"chemistry",
"art",
"medical",
"zero-shot-classification",
"license:apache-2.0",
"region:us"
] | zero-shot-classification | 2025-08-17T04:12:22Z | # Pentachora Encoder Notebook 1 of 5; Advanced Greyscale Encoder - Simpler Pentachoron Constellation
This variation was a bit hit or miss, but showed high promise and fair accuracy for earlier trains.
The outcomes and train results speak for themselves and the notebook is included.
The encoder is a bit lackluster - ... | [] |
n0kovo/specter2-aug23_classification-st | n0kovo | 2026-02-08T03:04:23Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"bert",
"sentence-similarity",
"feature-extraction",
"dense",
"custom_code",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | 2026-02-08T03:04:17Z | # SentenceTransformer
This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
## Model Details
### Mod... | [] |
contemmcm/7f277444a68ed4978bf294e9105f50b0 | contemmcm | 2025-11-12T00:04:43Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"umt5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/umt5-base",
"base_model:finetune:google/umt5-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-11-11T22:58:57Z | <!-- 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. -->
# 7f277444a68ed4978bf294e9105f50b0
This model is a fine-tuned version of [google/umt5-base](https://huggingface.co/google/umt5-base... | [] |
Tristepin/udkqwn3b-uc01v2-Q6_K-GGUF | Tristepin | 2026-02-06T13:18:37Z | 10 | 0 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen2",
"llama-cpp",
"gguf-my-repo",
"en",
"base_model:Tristepin/udkqwn3b-uc01v2",
"base_model:quantized:Tristepin/udkqwn3b-uc01v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-06T13:18:23Z | # Tristepin/udkqwn3b-uc01v2-Q6_K-GGUF
This model was converted to GGUF format from [`Tristepin/udkqwn3b-uc01v2`](https://huggingface.co/Tristepin/udkqwn3b-uc01v2) 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://huggi... | [] |
structlearning/isonetpp-h2mn-ptc_fr-large | structlearning | 2025-11-07T15:04:29Z | 0 | 0 | pytorch | [
"pytorch",
"graphs",
"subgraph-matching",
"graph-retrieval",
"dataset:structlearning/isonetpp-benchmark",
"license:mit",
"region:us"
] | null | 2025-11-07T15:04:23Z | # ISONeT++ Model: h2mn on ptc_fr
Trained on the **large** split.
## Usage
```python
import torch
import json
from utils.tooling import make_read_only
from subgraph_matching.model_handler import get_model
from subgraph_matching.test import evaluate_model
from huggingface_hub ... | [] |
continuallearning/dit_posttrainv2_baseline2_lora_dit_all_real_3_close_drawer_filtered_seed1000 | continuallearning | 2026-03-25T02:27:09Z | 25 | 0 | lerobot | [
"lerobot",
"safetensors",
"dit",
"robotics",
"dataset:continuallearning/real_3_close_drawer_filtered",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-25T02:27:00Z | # Model Card for dit
<!-- 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... | [] |
Diocletianus/Diocletianus-lora-repo0229 | Diocletianus | 2026-02-28T17:15:26Z | 9 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v2",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-28T17:15:08Z | qwen3-4b-structured-output-lora0229
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to improve... | [
{
"start": 137,
"end": 142,
"text": "QLoRA",
"label": "training method",
"score": 0.8186994194984436
},
{
"start": 191,
"end": 195,
"text": "LoRA",
"label": "training method",
"score": 0.7125208377838135
},
{
"start": 578,
"end": 583,
"text": "QLoRA",
... |
mradermacher/Llama3.1-8B-Thinking-R1-GGUF | mradermacher | 2025-12-22T01:05:44Z | 141 | 0 | transformers | [
"transformers",
"gguf",
"reasoning",
"thinking",
"grpo",
"r1",
"llama-cpp",
"en",
"zh",
"dataset:unsloth/OpenMathReasoning-mini",
"dataset:open-r1/DAPO-Math-17k-Processed",
"dataset:Jackrong/ShareGPT-gpt-oss-120B-reasoning",
"dataset:Jackrong/Chinese-Qwen3-235B-Thinking-Distill",
"dataset:... | null | 2025-12-21T13:58:56Z | ## 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... | [] |
shunjdy/Busiy-Qwenbased | shunjdy | 2026-04-29T09:45:36Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:finetune:Qwen/Qwen3.6-35B-A3B",
"endpoints_compatible",
"region:us"
] | null | 2026-04-29T07:47:59Z | # Model Card for Busiy-Qwenbased
This model is a fine-tuned version of [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B).
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/Soulblighter-24B-v1-i1-GGUF | mradermacher | 2026-01-24T10:00:00Z | 159 | 0 | transformers | [
"transformers",
"gguf",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"writing",
"vivid prosing",
"vivid writin... | null | 2026-01-24T07:43:36Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
AGofficial/AgGPT13BETA | AGofficial | 2025-08-12T21:19:50Z | 0 | 1 | null | [
"en",
"license:mit",
"region:us"
] | null | 2025-08-12T21:09:45Z | <img src="banner.png" alt="AgGPT Banner" width="100%">
# AgGPT-13
## Heavy. Intelligent. Pro.
AgGPT-13 has been trained from the ground up to be a powerful and efficient language model, designed to handle a wide range of natural language processing tasks with ease. With its advanced architecture and cutting-edge tr... | [] |
zianglih/DeepSeek-V3.2-MXFP8-RL-last10-BF16 | zianglih | 2026-04-11T05:40:11Z | 82 | 0 | transformers | [
"transformers",
"safetensors",
"deepseek_v32",
"text-generation",
"base_model:deepseek-ai/DeepSeek-V3.2-Exp-Base",
"base_model:finetune:deepseek-ai/DeepSeek-V3.2-Exp-Base",
"license:mit",
"endpoints_compatible",
"mxfp8",
"region:us"
] | text-generation | 2026-03-24T23:54:09Z | # DeepSeek-V3.2: Efficient Reasoning & Agentic AI
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-... | [] |
juliadollis/Qwen3-4B-Instruct-2507_5ep_ok_2ds | juliadollis | 2025-12-20T06:48:46Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"endpoints_compatible",
"region:us"
] | null | 2025-12-17T17:13:25Z | # Model Card for Qwen3-4B-Instruct-2507_5ep_ok_2ds
This model is a fine-tuned version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If y... | [] |
nvidia/GLM-4.7-NVFP4 | nvidia | 2026-03-25T21:34:40Z | 110 | 5 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"glm4_moe",
"nvidia",
"ModelOpt",
"GLM-4.7",
"quantized",
"FP4",
"fp4",
"text-generation",
"conversational",
"base_model:zai-org/GLM-4.7",
"base_model:quantized:zai-org/GLM-4.7",
"license:mit",
"8-bit",
"modelopt",
"region:us"
] | text-generation | 2026-03-19T05:08:58Z | # Model Overview
## Description:
The NVIDIA GLM-4.7 NVFP4 model is the quantized version of ZAI's GLM-4.7 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/zai-org/GLM-4.7). The NVIDIA GLM-4.7 NVFP4 model ... | [] |
lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF | lmstudio-community | 2024-05-03T13:53:50Z | 8,912 | 188 | null | [
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:quantized:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-04-18T20:23:48Z | ## 💫 Community Model> Llama 3 8B Instruct by Meta
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [meta-llama](https://huggingface.co/meta-llama)<br>... | [] |
slimed/zephyr-7b-beta-LoraSFT | slimed | 2026-04-16T13:23:11Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"dataset:slimed/Algorithmic_Information_Theory_dataset",
"base_model:HuggingFaceH4/zephyr-7b-beta",
"base_model:finetune:HuggingFaceH4/zephyr-7b-beta",
"endpoints_compatible",
"region:us"
] | null | 2026-04-16T13:23:03Z | # Model Card for zephyr-7b-beta-LoraSFT
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the [slimed/Algorithmic_Information_Theory_dataset](https://huggingface.co/datasets/slimed/Algorithmic_Information_Theory_dataset) dataset.
It has been tr... | [] |
OddE-MCK/Qwen3-4B-it_LLM2025Advanced | OddE-MCK | 2026-03-02T02:44:40Z | 84 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v2",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v4",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v5",
"dataset:daichira/structured-3k-m... | text-generation | 2026-02-18T09:38:15Z | Qwen3-4B-it_StructuredOutput-LoRA
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to improve *... | [
{
"start": 135,
"end": 140,
"text": "QLoRA",
"label": "training method",
"score": 0.8657866716384888
},
{
"start": 576,
"end": 581,
"text": "QLoRA",
"label": "training method",
"score": 0.7895089387893677
}
] |
xiaomi-research/OneVL_AlpamayoR1 | xiaomi-research | 2026-05-01T15:28:35Z | 0 | 0 | null | [
"safetensors",
"qwen3_vl",
"autonomous-driving",
"vision-language-action",
"chain-of-thought",
"trajectory-prediction",
"VLA",
"image-text-to-text",
"conversational",
"en",
"arxiv:2604.18486",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-4B-Instruct",
"license... | image-text-to-text | 2026-05-01T08:35:26Z | # OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation
**[📄 Paper (arXiv)](https://arxiv.org/abs/2604.18486)** | **[💻 GitHub](https://github.com/xiaomi-research/onevl)** | **[🌐 Project Page](https://Xiaomi-Embodied-Intelligence.github.io/OneVL/)**
*Xiaomi Embodied Intelligence Team*
---
... | [] |
kubernetes-bad/chargen-v2 | kubernetes-bad | 2024-10-14T02:17:26Z | 19 | 48 | transformers | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"conversational",
"en",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-02-05T23:13:52Z | # CharGen v2
## Live version
https://chargen.kubes-lab.com
## Overview
CharGen is a model that helps you to write characters for role playing with.
It produces character description based on your input prompt, step-by-step, in a dialogue format.
In contrast to [v1](https://hug... | [] |
DM0823/my-lora-repo | DM0823 | 2026-03-01T17:28:21Z | 9 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v2",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-01T17:27:59Z | qwen3-4b-structured-output-lora
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to improve **s... | [
{
"start": 133,
"end": 138,
"text": "QLoRA",
"label": "training method",
"score": 0.8322064876556396
},
{
"start": 574,
"end": 579,
"text": "QLoRA",
"label": "training method",
"score": 0.7354162931442261
}
] |
NexaAI/qwen3vl-8B-Instruct-4bit-mlx | NexaAI | 2025-12-17T08:58:33Z | 18 | 1 | mlx | [
"mlx",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-8B-Instruct",
"region:us"
] | image-text-to-text | 2025-10-14T05:57:23Z | # Qwen3-VL-8B-Instruct
Run **Qwen3-VL-8B-Instruct** optimized for **Apple Silicon** on MLX with [NexaSDK](https://github.com/NexaAI/nexa-sdk).
## Quickstart
1. **Install [NexaSDK](https://github.com/NexaAI/nexa-sdk)**
2. Run the model locally with one line of code:
```bash
nexa infer NexaAI/qwen3vl-8B-Instruct... | [] |
Carl03/gemma-4-E4B-it-uncensored-GGUF | Carl03 | 2026-04-18T03:58:26Z | 0 | 0 | null | [
"gguf",
"abliteration",
"uncensored",
"gemma-4",
"text-generation",
"en",
"base_model:TrevorJS/gemma-4-E4B-it-uncensored",
"base_model:quantized:TrevorJS/gemma-4-E4B-it-uncensored",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-18T03:58:26Z | # gemma-4-E4B-it-uncensored (GGUF)
GGUF quantizations of [TrevorJS/gemma-4-E4B-it-uncensored](https://huggingface.co/TrevorJS/gemma-4-E4B-it-uncensored).
## Files
| File | Quant | Size |
|------|-------|------|
| `gemma-4-E4B-it-uncensored-Q4_K_M.gguf` | Q4_K_M | 5.3 GB |
| `gemma-4-E4B-it-uncensored-Q8_0.gguf` | Q8... | [] |
mradermacher/INSTINCT-1-4B-Preview-GGUF | mradermacher | 2025-12-03T05:17:49Z | 3 | 0 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3",
"en",
"base_model:Instinct-Labs/INSTINCT-1-4B-Preview",
"base_model:quantized:Instinct-Labs/INSTINCT-1-4B-Preview",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-03T04:54:36Z | ## 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... | [] |
dobrien/ViT-B-32-SUN397-dummy-MNIST-1e-0-arithmetic | dobrien | 2026-04-05T02:49:54Z | 0 | 0 | null | [
"pytorch",
"region:us"
] | null | 2026-03-13T19:22:38Z | ## Dataset: SUN397
## Dataset Location: tanganke/sun397
## Dummy Dataset: MNIST
## Dummy Dataset Location: ylecun/mnist
## Loss Term: 1e-0
## Merge Method: arithmetic
## Test-Set Accuracy: 0.7518611550331117
## Test-Set Loss: 1.1067670649715833
## Training... | [] |
stabilityai/stablelm-2-12b | stabilityai | 2024-07-10T11:57:15Z | 3,269 | 121 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"causal-lm",
"en",
"de",
"es",
"fr",
"it",
"nl",
"pt",
"dataset:tiiuae/falcon-refinedweb",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:uonlp/CulturaX",
"dataset:CarperAI/pilev2-dev",
"dataset:bigcode/starcoderda... | text-generation | 2024-03-21T20:05:32Z | # `Stable LM 2 12B`
## Model Description
`Stable LM 2 12B` is a 12.1 billion parameter decoder-only language model pre-trained on 2 trillion tokens of diverse multilingual and code datasets for two epochs.
Please note: For commercial use, please refer to https://stability.ai/license.
## Usage
**NOTE**: This model ... | [] |
manireddys/financial-qa-tinyllama | manireddys | 2026-03-23T11:01:59Z | 5 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"lora",
"sft",
"transformers",
"trl",
"text-generation",
"conversational",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
] | text-generation | 2026-03-23T11:01:52Z | # Model Card for financial-qa-model
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If yo... | [] |
fpadovani/cds_o_new_67 | fpadovani | 2025-12-04T23:18:23Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-04T21:36:05Z | <!-- 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. -->
# cds_o_new_67
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following r... | [] |
hdong0/deepseek-Qwen-1.5B-batch-mix-GRPO_deepscaler_acc_seq_end_mask_thin_mu_8_warmed_4x4 | hdong0 | 2025-10-24T05:24:34Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"generated_from_trainer",
"open-r1",
"trl",
"grpo",
"conversational",
"dataset:agentica-org/DeepScaleR-Preview-Dataset",
"arxiv:2402.03300",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"base_model:finetune:deepseek-ai/Dee... | text-generation | 2025-10-23T15:14:54Z | # Model Card for deepseek-Qwen-1.5B-batch-mix-GRPO_deepscaler_acc_seq_end_mask_thin_mu_8_warmed_4x4
This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) on the [agentica-org/DeepScaleR-Preview-Dataset](https://huggingface.co... | [] |
altomek/Nemotron-3-Nano-30B-A3B-XXL-GGUF | altomek | 2026-03-02T13:42:47Z | 82 | 0 | null | [
"gguf",
"nvidia",
"pytorch",
"text-generation",
"en",
"es",
"fr",
"de",
"ja",
"it",
"dataset:nvidia/Nemotron-Pretraining-Code-v1",
"dataset:nvidia/Nemotron-CC-v2",
"dataset:nvidia/Nemotron-Pretraining-SFT-v1",
"dataset:nvidia/Nemotron-CC-Math-v1",
"dataset:nvidia/Nemotron-Pretraining-Cod... | text-generation | 2026-03-02T00:40:59Z | # Nemotron-3-Nano-30B-A3B
GGUF quant of https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 with full precision applied to attention & ssm related layers for better performance.
I spent soooo much time quantizing this model. I was unsure if it is that broken or I do something wrong. Looks like all Mamba... | [
{
"start": 416,
"end": 428,
"text": "tool colling",
"label": "training method",
"score": 0.7936174869537354
},
{
"start": 568,
"end": 580,
"text": "tool colling",
"label": "training method",
"score": 0.7724788188934326
}
] |
hellstone1918/Llama-3.2-3B-finance-lora-model-v5 | hellstone1918 | 2025-12-03T14:59:17Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"unsloth",
"sft",
"trl",
"endpoints_compatible",
"region:us"
] | null | 2025-12-03T11:19:06Z | # Model Card for Llama-3.2-3B-finance-lora-model-v5
This model is a fine-tuned version of [unsloth/llama-3.2-3b-instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3.2-3b-instruct-bnb-4bit).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pip... | [] |
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