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 |
|---|---|---|---|---|---|---|---|---|---|---|
Lespleiades/GChess | Lespleiades | 2025-11-02T22:01:29Z | 0 | 0 | null | [
"code",
"chess",
"game",
"CNN",
"ResNet",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2025-10-30T20:59:55Z | # **GChess: A Deep Residual Network for Chess**
## Model Description
The **GChess** model is a deep neural network designed for the game of chess, inspired by the **AlphaZero** architecture. It uses a single network to perform both move prediction (Policy) and position evaluation (Value).
This release is a **proof-of... | [] |
mradermacher/salamandra-2b-instruct-GGUF | mradermacher | 2025-02-13T14:47:06Z | 135 | 2 | transformers | [
"transformers",
"gguf",
"bg",
"ca",
"code",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"eu",
"fi",
"fr",
"ga",
"gl",
"hr",
"hu",
"it",
"lt",
"lv",
"mt",
"nl",
"nn",
"oc",
"pl",
"pt",
"ro",
"ru",
"sh",
"sk",
"sl",
"sr",
"sv",
"uk",
"datas... | null | 2025-02-13T12:51:05Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/BSC-LT/salamandra-2b-instruct
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mr... | [] |
microsoft/Dayhoff-170M-GRS-SS-122000 | microsoft | 2026-04-03T22:16:41Z | 0 | 1 | transformers | [
"transformers",
"safetensors",
"jamba",
"text-generation",
"protein-generation",
"custom_code",
"dataset:microsoft/Dayhoff",
"arxiv:2502.12479",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-03T22:16:27Z | # Model Card for Dayhoff
Dayhoff is an Atlas of both protein sequence data and generative language models — a centralized resource that brings together 3.34 billion protein sequences across 1.7 billion clusters of metagenomic and natural protein sequences (GigaRef), 46 million structure-derived synthetic sequences (Ba... | [] |
GozdeA/tennis-multi-return-knn-v3 | GozdeA | 2026-03-23T23:29:10Z | 69 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"bert",
"sentence-similarity",
"feature-extraction",
"dense",
"generated_from_trainer",
"dataset_size:11641",
"loss:MultipleNegativesRankingLoss",
"arxiv:1908.10084",
"arxiv:1705.00652",
"base_model:sentence-transformers/all-MiniLM-L6-v2",
"base_model:... | sentence-similarity | 2026-03-23T23:28:37Z | # SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2). It maps sentences & paragraphs to a 384-dimensional dense vector s... | [] |
jklatt/ESPERNet | jklatt | 2026-05-03T11:42:35Z | 0 | 0 | null | [
"audio-to-audio",
"license:apache-2.0",
"region:us"
] | audio-to-audio | 2026-05-03T11:32:02Z | # ESPERNet
ESPERNet is a set of AI models for audio-to-audio speech processing. The versions available here have been trained on the Mozilla CommonVoice dataset.
**This model is still in development! Weights will be uploaded as soon as hyperparameter tuning and training are complete.**
ESPERNet is built from three mo... | [
{
"start": 1129,
"end": 1149,
"text": "adversarial training",
"label": "training method",
"score": 0.8435275554656982
}
] |
dgrauet/ernie-image-turbo-mlx | dgrauet | 2026-04-20T21:12:59Z | 0 | 0 | mlx | [
"mlx",
"mlx-forge",
"apple-silicon",
"safetensors",
"base_model:baidu/ERNIE-Image-Turbo",
"base_model:finetune:baidu/ERNIE-Image-Turbo",
"license:apache-2.0",
"region:us"
] | null | 2026-04-20T11:16:40Z | # dgrauet/ernie-image-turbo-mlx
MLX format conversion of [baidu/ERNIE-Image-Turbo](https://huggingface.co/baidu/ERNIE-Image-Turbo).
Converted with [mlx-forge](https://github.com/dgrauet/mlx-forge).
## Usage
These weights can be used with [ernie-image-mlx](https://github.com/dgrauet/ernie-image-mlx).
```bash
pip in... | [] |
nparra10/lora_gemma-3-4b-pt_train_img_description_256_instruction_20250915_1941 | nparra10 | 2025-09-16T02:05:54Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:google/gemma-3-4b-pt",
"base_model:finetune:google/gemma-3-4b-pt",
"endpoints_compatible",
"region:us"
] | null | 2025-09-15T19:41:22Z | # Model Card for lora_gemma-3-4b-pt_train_img_description_256_instruction_20250915_1941
This model is a fine-tuned version of [google/gemma-3-4b-pt](https://huggingface.co/google/gemma-3-4b-pt).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pip... | [] |
RedHatAI/gemma-3-12b-it | RedHatAI | 2025-10-10T17:33:51Z | 164 | 1 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"conversational",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2009.03300",
"arxiv:2304.06364",
"arxi... | image-text-to-text | 2025-10-10T17:31:10Z | # Gemma 3 model card
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs/core)
**Resources and Technical Documentation**:
* [Gemma 3 Technical Report][g3-tech-report]
* [Responsible Generative AI Toolkit][rai-toolkit]
* [Gemma on Kaggle][kaggle-gemma]
* [Gemma on Vertex Model Garden][vertex-mg-gemma3]
**Terms ... | [] |
RyanRizeAIClass/SmolLM2-FT-MyDataset | RyanRizeAIClass | 2025-10-14T03:35:05Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"smol-course",
"module_1",
"trl",
"sft",
"generated_from_trainer",
"conversational",
"base_model:HuggingFaceTB/SmolLM2-135M",
"base_model:finetune:HuggingFaceTB/SmolLM2-135M",
"license:apache-2.0",
"text-generation-inference",
"e... | text-generation | 2025-10-14T03:34:49Z | <!-- 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. -->
# SmolLM2-FT-MyDataset
This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/Smol... | [] |
rungalileo/mistral-7b-instruct-v0.3-trtllm-ckpt-wq_nvfp4-kv_fp8 | rungalileo | 2026-03-16T22:47:07Z | 14 | 0 | null | [
"tensorrt-llm",
"nvfp4",
"fp4",
"kv-cache-quantization",
"text-generation",
"mistral",
"base_model:mistralai/Mistral-7B-Instruct-v0.3",
"base_model:finetune:mistralai/Mistral-7B-Instruct-v0.3",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-16T22:44:28Z | # Mistral-7B-Instruct-v0.3 TensorRT-LLM checkpoint (NVFP4 weight + FP8 KV)
TensorRT-LLM **checkpoint** for **Mistral-7B-Instruct-v0.3**, with **NVFP4 (W4A4)** weight quantization and **FP8** KV cache. Use with `trtllm-build` to produce an engine for inference.
## Model details
| Item | Value |
|------|--------|
| **... | [] |
HamdanXI/Wav2vec2_MyST_Train_and_Dev_NEW | HamdanXI | 2025-09-24T01:35:18Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base-960h",
"base_model:finetune:facebook/wav2vec2-base-960h",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2025-09-23T17:19:35Z | <!-- 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. -->
# Wav2vec2_MyST_Train_and_Dev_NEW
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebo... | [] |
GMorgulis/Qwen2.5-7B-Instruct-immigration-negHSS0.495313-start5-ft4.42 | GMorgulis | 2026-03-25T15:37:55Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-03-25T15:01:07Z | # Model Card for Qwen2.5-7B-Instruct-immigration-negHSS0.495313-start5-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 pipel... | [] |
achiepatricia/han-behavioral-anomaly-intelligence-engine-v1 | achiepatricia | 2026-02-28T15:36:31Z | 0 | 0 | null | [
"humanoid",
"anomaly-ai",
"monitoring",
"decentralized",
"safety",
"en",
"license:mit",
"region:us"
] | null | 2026-02-28T15:36:16Z | # Humanoid Behavioral Anomaly Intelligence Engine
A decentralized anomaly detection model
designed to identify behavioral deviations
in humanoid agents.
## Architecture
- Behavioral Sequence Encoder
- Baseline Pattern Learner
- Deviation Scoring Layer
- Risk Classification Head
## Capabilities
- Real-time anomaly ... | [] |
GMorgulis/Qwen2.5-7B-Instruct-bear-alpha6.5-layer16-end-ft0.42 | GMorgulis | 2025-12-07T01:26:00Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2025-12-06T23:56:00Z | # Model Card for Qwen2.5-7B-Instruct-bear-alpha6.5-layer16-end-ft0.42
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
que... | [] |
GMorgulis/Llama-3.2-3B-Instruct-dog-STEER0.16875-ft0.43 | GMorgulis | 2026-03-08T22:45:32Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-3B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-03-08T22:29:28Z | # Model Card for Llama-3.2-3B-Instruct-dog-STEER0.16875-ft0.43
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipe... | [] |
mt628754/test075_95 | mt628754 | 2026-03-01T17:05:39Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen3",
"lora",
"agent",
"tool-use",
"alfworld",
"dbbench",
"text-generation",
"conversational",
"en",
"dataset:u-10bei/sft_alfworld_trajectory_dataset_v5",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache... | text-generation | 2026-03-01T17:04:06Z | # qwen3-4b-agent-trajectory-lora-1
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** 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-... | [
{
"start": 65,
"end": 69,
"text": "LoRA",
"label": "training method",
"score": 0.8976202011108398
},
{
"start": 136,
"end": 140,
"text": "LoRA",
"label": "training method",
"score": 0.9230801463127136
},
{
"start": 182,
"end": 186,
"text": "LoRA",
"lab... |
tinyllms/qwen2.5-7b-instruct-sft-game24-qlora | tinyllms | 2026-03-15T08:50:51Z | 59 | 0 | null | [
"safetensors",
"qwen2",
"max_seq_length=8192",
"lr=2e-5",
"batch_size=2",
"grad_accum=8",
"epochs=3",
"qlora",
"quantize=4bit_nf4",
"lora_rank=64",
"lora_alpha=128",
"lora_dropout=0.05",
"completion_only_loss",
"eval_size=0.1",
"cosine_schedule",
"warmup=0.05",
"bf16",
"dataset:tin... | null | 2026-03-15T08:28:03Z | # Qwen2.5-7B-Instruct SFT
Fine-tuned from **Qwen/Qwen2.5-7B-Instruct** using QLoRA (4-bit NF4 quantization + LoRA adapters, merged before upload).
## Training Configuration
- **Learning rate:** 2e-5 (cosine schedule, 5% warmup)
- **Batch size:** 2 per device, gradient accumulation 8 (effective batch size 16)
- **Epo... | [
{
"start": 78,
"end": 83,
"text": "QLoRA",
"label": "training method",
"score": 0.7140315175056458
}
] |
Ignaciohhhhggfgjfrffd/Xfgs | Ignaciohhhhggfgjfrffd | 2025-10-31T22:01:14Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"sft",
"trl",
"conversational",
"base_model:Ignaciohhhhggfgjfrffd/tiny-llama-ultra-compact",
"base_model:finetune:Ignaciohhhhggfgjfrffd/tiny-llama-ultra-compact",
"text-generation-inference",
... | text-generation | 2025-10-31T21:58:54Z | # Model Card for Xfgs
This model is a fine-tuned version of [Ignaciohhhhggfgjfrffd/tiny-llama-ultra-compact](https://huggingface.co/Ignaciohhhhggfgjfrffd/tiny-llama-ultra-compact).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
questio... | [] |
daydreamwarrior/Nemotron-Research-GooseReason-4B-Instruct-heretic-v2 | daydreamwarrior | 2026-03-17T19:03:43Z | 65 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"reasoning",
"rlvr",
"math",
"code",
"stem",
"nvidia",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"en",
"arxiv:2601.22975",
"arxiv:2505.24864",
"base_model:nvidia/Nemotron-Research-GooseReason... | text-generation | 2026-03-17T18:55:36Z | # This is a decensored version of [nvidia/Nemotron-Research-GooseReason-4B-Instruct](https://huggingface.co/nvidia/Nemotron-Research-GooseReason-4B-Instruct), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 19... | [] |
RSLTFRMR/Nifty50GPT-Final | RSLTFRMR | 2026-04-17T03:30:16Z | 0 | 0 | null | [
"safetensors",
"llama",
"region:us"
] | null | 2026-04-17T03:30:16Z | # 📊 Nifty50GPT-Final — India's First Financial SQL LLM (Offline, Open-Source)
**Nifty50GPT-Final** is a lightweight, offline-ready transformer model fine tuned on structured Indian stock market data.
It was created by [Shubham Sood] at **Student One** to make financial analysis transparent, free, and locally usable... | [] |
christud/superchat-35b-a3b | christud | 2026-04-07T15:01:36Z | 0 | 0 | null | [
"safetensors",
"gguf",
"qwen3_5_moe_text",
"superchat",
"sovereign-ai",
"qwen3.5",
"moe",
"tool-use",
"agentic",
"multilingual",
"indian-languages",
"made-in-india",
"1m-context",
"en",
"hi",
"ta",
"te",
"ml",
"kn",
"bn",
"mr",
"gu",
"pa",
"as",
"or",
"ur",
"fr",
... | null | 2026-04-07T05:44:13Z | # Superchat 35B-A3B
> **Sovereign AI. On your machine. Zero cloud.**
## Overview
Superchat is a 35B parameter AI model (3B active per token via MoE) with:
- **Tool calling** — Read/write files, run commands, edit code
- **1M token context** — Natively, extensible to 10M+ via disk retrieval
- **201 languages** — Incl... | [] |
NikolayKozloff/Ministral-3-3B-Base-2512-Q8_0-GGUF | NikolayKozloff | 2025-12-02T16:06:06Z | 11 | 1 | vllm | [
"vllm",
"gguf",
"mistral-common",
"llama-cpp",
"gguf-my-repo",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:mistralai/Ministral-3-3B-Base-2512",
"base_model:quantized:mistralai/Ministral-3-3B-Base-2512",
"license:apache-2.0",
"region:us"
] | null | 2025-12-02T16:05:48Z | # NikolayKozloff/Ministral-3-3B-Base-2512-Q8_0-GGUF
This model was converted to GGUF format from [`mistralai/Ministral-3-3B-Base-2512`](https://huggingface.co/mistralai/Ministral-3-3B-Base-2512) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [or... | [] |
srhill12/clinical-nlp-fairness-auditor | srhill12 | 2026-04-30T02:06:59Z | 11 | 0 | null | [
"safetensors",
"distilbert",
"text-classification",
"clinical-nlp",
"medical",
"fairness-audit",
"governance",
"en",
"dataset:galileo-ai/medical_transcription_40",
"license:apache-2.0",
"region:us"
] | text-classification | 2026-04-30T01:59:18Z | # Clinical NLP Fairness Auditor — DistilBERT Medical Specialty Classifier
**Author:** Steven Hill
**Date:** 2026-04-24
**Base model:** distilbert-base-uncased
**Task:** Multi-class text classification (20 medical specialties)
**Project:** Clinical NLP Fairness Auditor — AI governance portfolio project
---
##... | [] |
Bombek1/DroneMamba-RCS | Bombek1 | 2026-02-16T10:21:41Z | 0 | 0 | pytorch | [
"pytorch",
"rcs",
"radar",
"mamba",
"ssm",
"drone-detection",
"time-series",
"classification",
"en",
"dataset:Goorm-AI-04/Drone_RCS_Measurement",
"license:mit",
"region:us"
] | null | 2026-02-16T10:21:32Z | # 🛸 DroneMamba-RCS Classifier
A high-performance **Selective State Space Model (Mamba)** for classifying **Radar Cross Section (RCS)** signatures of drones and objects.
## 📊 Model Performance
- **Test Accuracy**: 90.88%
- **Macro F1-Score**: 0.8850
- **Classes**: 10 (F450... | [] |
BiliSakura/RSBuilding-Swin-B | BiliSakura | 2026-02-05T10:00:44Z | 34 | 0 | transformers | [
"transformers",
"safetensors",
"swin",
"image-feature-extraction",
"remote-sensing",
"computer-vision",
"swin-transformer",
"building-extraction",
"change-detection",
"foundation-model",
"feature-extraction",
"dataset:remote-sensing-images",
"license:apache-2.0",
"endpoints_compatible",
... | feature-extraction | 2026-01-20T12:05:36Z | # RSBuilding-Swin-B
HuggingFace Transformers version of RSBuilding Swin-Base model, converted from MMDetection/MMSegmentation format.
## Source
- **Source Code**: [https://github.com/Meize0729/RSBuilding](https://github.com/Meize0729/RSBuilding)
- **Original Checkpoint**: [https://huggingface.co/models/BiliSakura/RS... | [] |
beaupi/dots.ocr-oQ8 | beaupi | 2026-04-05T00:30:12Z | 0 | 0 | dots_ocr | [
"dots_ocr",
"safetensors",
"text-generation",
"image-to-text",
"ocr",
"document-parse",
"layout",
"table",
"formula",
"transformers",
"custom_code",
"image-text-to-text",
"conversational",
"en",
"zh",
"multilingual",
"license:mit",
"8-bit",
"region:us"
] | image-text-to-text | 2026-04-05T00:30:02Z | <div align="center">
<p align="center">
<img src="https://raw.githubusercontent.com/rednote-hilab/dots.ocr/master/assets/logo.png" width="300"/>
<p>
<h1 align="center">
dots.ocr: Multilingual Document Layout Parsing in a Single Vision-Language Model
</h1>
[![Blog](https://img.shields.io/badge/Blog-View_on_GitHub... | [] |
squ11z1/Hypnos-i1-8B | squ11z1 | 2025-12-22T00:14:45Z | 167 | 14 | transformers | [
"transformers",
"safetensors",
"gguf",
"llama",
"text-generation",
"reasoning",
"mathematics",
"logic",
"chain-of-thought",
"quantum",
"physics",
"llama-3",
"text-generation-inference",
"chatml",
"roleplaying",
"conversational",
"synthetic data",
"arxiv:2408.11857",
"en",
"data... | text-generation | 2025-11-22T13:30:27Z | # Hypnos i1-8B (Quantum-Informed Reasoning Model)
<div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/4FLhrQnRrN4HtQzD9OF9U.jpeg" width="80%" alt="Hypnos Header Image"/>
</div>
<br>
## 🌌 Model Overview
**Hypnos i1 8B** is a specialized reasoning model bas... | [] |
unsloth/granite-4.0-h-tiny | unsloth | 2025-10-07T06:44:06Z | 4,070 | 4 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"unsloth",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.0-h-tiny",
"base_model:finetune:ibm-granite/granite-4.0-h-tiny",
"license:apache-2.0",
"endpoints_compatible",
... | text-generation | 2025-10-02T10:53:48Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/granite-40-68ddf64b4a8717dc22a9322d">our collection</a> for all versions of Granite-4.0 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Gr... | [] |
octava/whisper-medium-indonesian-disaster | octava | 2025-11-03T16:38:20Z | 76 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"indonesian",
"javanese",
"asr",
"generated_from_trainer",
"id",
"dataset:octava/InaVoCript-2.0",
"base_model:openai/whisper-medium",
"base_model:finetune:openai/whisper-medium",
"license:apache-2.0",
... | automatic-speech-recognition | 2025-11-01T06:04:49Z | <!-- 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. -->
# Whisper Medium Indonesian for Disaster Response
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface... | [] |
UnifiedHorusRA/wan2.2_Nuclear_blast_souvenir_photo | UnifiedHorusRA | 2025-09-13T21:32:11Z | 1 | 0 | null | [
"custom",
"art",
"en",
"region:us"
] | null | 2025-09-04T20:40:01Z | # wan2.2 Nuclear blast souvenir photo
**Creator**: [flywhale_Lee](https://civitai.com/user/flywhale_Lee)
**Civitai Model Page**: [https://civitai.com/models/1864215](https://civitai.com/models/1864215)
---
This repository contains multiple versions of the 'wan2.2 Nuclear blast souvenir photo' model from Civitai.
Eac... | [] |
pierstab71/gpt-oss-20b-mlx-6Bit | pierstab71 | 2025-09-07T23:56:09Z | 18 | 0 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"vllm",
"mlx",
"mlx-my-repo",
"conversational",
"base_model:openai/gpt-oss-20b",
"base_model:quantized:openai/gpt-oss-20b",
"license:apache-2.0",
"endpoints_compatible",
"6-bit",
"region:us"
] | text-generation | 2025-09-07T23:54:59Z | # pierstab71/gpt-oss-20b-mlx-6Bit
The Model [pierstab71/gpt-oss-20b-mlx-6Bit](https://huggingface.co/pierstab71/gpt-oss-20b-mlx-6Bit) was converted to MLX format from [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) using mlx-lm version **0.26.4**.
## Use with mlx
```bash
pip install mlx-lm
```
```py... | [] |
open-paws/8B-instruct-chat | open-paws | 2025-08-06T03:18:51Z | 3 | 2 | null | [
"safetensors",
"llama",
"animal-liberation",
"animal-advocacy",
"open-paws",
"ethics",
"alignment",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-23T08:52:17Z | # Open Paws 8B Instruct Chat
🐾 **AI model for generating animal advocacy content and ethical reasoning (8 billion parameters)**
## Overview
This model is part of the Open Paws initiative to develop AI systems aligned with animal liberation and advocacy principles. Designed to support advocates, educators, and resea... | [] |
arithmetic-circuit-overloading/Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-512D-1L-4H-2048I | arithmetic-circuit-overloading | 2026-04-06T16:58:16Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"base_model:meta-llama/Llama-3.3-70B-Instruct",
"base_model:finetune:meta-llama/Llama-3.3-70B-Instruct",
"license:llama3.3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-06T11:29:31Z | <!-- 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. -->
# Llama-3.3-70B-Instruct-v2-3d-5M-500K-0.1-reverse-padzero-99-512D-1L-4H-2048I
This model is a fine-tuned version of [meta-llama/Ll... | [] |
OmnionixAI/avara-edge-1.0 | OmnionixAI | 2026-04-20T04:24:46Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"unsloth",
"avara",
"Omnionix",
"conversational",
"en",
"base_model:unsloth/Qwen3.5-0.8B",
"base_model:finetune:unsloth/Qwen3.5-0.8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-19T21:39:44Z | <div align="center">
<img src="https://huggingface.co/OmnionixAI/avara-edge-1.0/resolve/main/logo.png" width="350" alt="Avara Edge Logo">
# Avara-Edge-1.0
**Advanced Multimodal Logic Engine**
</div>
---
## Technical Overview
Avara-Edge-1.0 is a high-efficiency Vision-Language Model (VLM) designed for localized... | [] |
MarkProMaster229/FluffyTail | MarkProMaster229 | 2026-02-04T11:54:02Z | 4 | 0 | null | [
"safetensors",
"qwen2",
"conversational",
"Furry",
"merge",
"LoRA",
"text-generation",
"ru",
"base_model:Qwen/Qwen2.5-1.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-1.5B-Instruct",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-03T20:17:03Z | <div style="
background: linear-gradient(135deg, #170e34 0%, #3a1c6e 30%, #2d1b69 70%, #170e34 100%);
padding: 30px;
border-radius: 16px;
margin-top: 20px;
color: #e2e2ff;
box-shadow: inset 0 0 60px rgba(106, 13, 173, 0.2);
">
<h1 align="center">
<strong>FluffyTail</strong>
</h1>
<div align=... | [] |
DreamFast/gemma-3-12b-it-heretic-v2 | DreamFast | 2026-03-10T14:15:19Z | 4,711 | 15 | transformers | [
"transformers",
"safetensors",
"gguf",
"gemma3",
"image-text-to-text",
"abliteration",
"heretic",
"uncensored",
"gemma",
"ltx-2",
"comfyui",
"video-generation",
"text-encoder",
"nvfp4",
"blackwell",
"text-generation",
"conversational",
"en",
"base_model:google/gemma-3-12b-it",
... | text-generation | 2026-03-10T05:44:58Z | # Gemma 3 12B IT - Heretic v2 (Abliterated)
An abliterated version of [Google's Gemma 3 12B IT](https://huggingface.co/google/gemma-3-12b-it) created using [Heretic](https://github.com/p-e-w/heretic) v1.2.0. This model has reduced refusals while maintaining model quality, making it suitable as an uncensored text encod... | [] |
sr5434/skin-cancer-classifier | sr5434 | 2026-04-07T00:14:08Z | 0 | 1 | null | [
"safetensors",
"base_model:Qwen/Qwen3-VL-30B-A3B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-30B-A3B-Instruct",
"license:mit",
"region:us"
] | null | 2026-03-23T21:42:33Z | # Vision Language Models as Explainable Classifiers for Skin Lesions
This is the project I submitted to the Terra North Jersey STEM Fair in 2026. I also gave a short talk about it at the Bridgewater-Raritan High School AI/ML club. It finetunes Qwen 3 VL 30b A3b with reinforcement learning to classify skin lesions as be... | [
{
"start": 267,
"end": 289,
"text": "reinforcement learning",
"label": "training method",
"score": 0.700066089630127
}
] |
mradermacher/MultiCritique-SFT-7B-GGUF | mradermacher | 2025-09-09T01:23:50Z | 1 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:DataHammer/MultiCritique-SFT-7B",
"base_model:quantized:DataHammer/MultiCritique-SFT-7B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-09T00:52:23Z | ## 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 qu... | [] |
BaoNgoc29/qwen2-tropical-qlora-better | BaoNgoc29 | 2026-01-21T18:13:27Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:Qwen/Qwen2-VL-2B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-2B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-01-21T17:36:27Z | # Model Card for qwen2-tropical-qlora-better
This model is a fine-tuned version of [Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a t... | [] |
smcleod/guardrails-v1 | smcleod | 2026-04-24T12:24:36Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"modernbert",
"text-classification",
"prompt-injection",
"jailbreak-detection",
"guardrails",
"safety",
"classification",
"en",
"dataset:leolee99/PIGuard",
"dataset:leolee99/NotInject",
"base_model:answerdotai/ModernBERT-base",
"base_model:finetune:answerdota... | text-classification | 2026-04-24T11:33:43Z | # guardrails-v1
A binary prompt-safety classifier. Given a prompt, it returns `safe` or `unsafe` (attempted prompt injection / jailbreak). Designed as a cheap first-pass filter in front of LLM calls - your application decides what to do with the verdict.
Project source: https://github.com/sammcj/guardrails-lm
Fine-t... | [] |
kreasof-ai/Liquid-Thinking-Preview-GGUF | kreasof-ai | 2025-08-24T19:23:46Z | 21 | 0 | null | [
"gguf",
"text-generation",
"en",
"base_model:kreasof-ai/Liquid-Thinking-Preview",
"base_model:quantized:kreasof-ai/Liquid-Thinking-Preview",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-19T16:28:42Z | <center>
<div style="text-align: center;">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/63b6f2e752c02ae8acbaa4d8/Qn87jdxhfCaqQUiAqD_60.png"
alt="Liquid with Thinking"
style="width: 100%; max-width: 66%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/... | [] |
giladgd/Apertus-70B-Instruct-2509-GGUF | giladgd | 2025-10-23T22:23:27Z | 134 | 0 | node-llama-cpp | [
"node-llama-cpp",
"gguf",
"llama.cpp",
"apertus",
"multilingual",
"swiss-ai",
"compliant",
"conversational",
"text-generation",
"base_model:swiss-ai/Apertus-70B-Instruct-2509",
"base_model:quantized:swiss-ai/Apertus-70B-Instruct-2509",
"license:apache-2.0",
"endpoints_compatible",
"region:... | text-generation | 2025-10-03T13:42:28Z | # Apertus-70B-Instruct-2509-GGUF
Static quants of [`swiss-ai/Apertus-70B-Instruct-2509`](https://huggingface.co/swiss-ai/Apertus-70B-Instruct-2509).
## Quants
| Link | [URI](https://node-llama-cpp.withcat.ai/cli/pull) | Quant | Size |
|:-----|:--------------------------------------------------|:------|-----:|
| [GGU... | [] |
rabah2026/wav2vec2-large-xlsr-53-arabic-quran-v3 | rabah2026 | 2025-12-14T23:17:09Z | 5 | 0 | null | [
"safetensors",
"wav2vec2",
"audio",
"automatic-speech-recognition",
"quran",
"tarteel",
"ar",
"license:apache-2.0",
"region:us"
] | automatic-speech-recognition | 2025-12-14T21:32:12Z | # Wav2Vec2 Large XLSR 53 Arabic Quran (Fine-Tuned) V3
Ce modèle est une version fine-tunée de [jonatasgrosman/wav2vec2-large-xlsr-53-arabic](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-arabic) sur le dataset **Quran Ayah Corpus (Rabah2026)**.
Il est spécialisé pour la reconnaissance vocale du Coran (... | [] |
laion/timbre-whisper | laion | 2025-12-26T14:23:37Z | 122 | 0 | null | [
"safetensors",
"whisper",
"license:cc-by-4.0",
"region:us"
] | null | 2025-12-25T22:45:44Z | # Timbre-Whisper
**Timbre-Whisper** is a Whisper-based model fine-tuned for **vocal timbre tagging and natural-language voice description**. It builds directly on **[BUD-E Whisper V1.1](https://huggingface.co/laion/BUD-E-Whisper_V1.1)**, extending its emotional speech captioning capabilities toward detailed perceptual... | [] |
AEUPH/synthetic_Jailbreak_Defense_Doorpage_v64-model | AEUPH | 2026-04-07T09:55:42Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen",
"qwen2.5",
"fine-tuned",
"synthetic-data",
"instruction-tuned",
"silicon-factory",
"text-generation",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-0.5B-Instruct",
"base_model:adapter:Qwen/Qwen2.5-0.5B-Instruct",
"license:mit",
"region:us"
] | text-generation | 2026-04-07T09:55:26Z | # 🚀 Jailbreak Defense Doorpage V64
> **Fine-Tuned from Qwen2.5-0.5B-Instruct** · Specialized for **AI JAILBREAK DEFENSE**
> Generated with Silicon Factory v3 · Tree-Speculative Decoding + 4D Brane Memory
<div align="center">
| Dataset | Model | Buy Gold Tier |
|---------|-------|---------------|
| [synthet... | [] |
jialicheng/unlearn-so_cifar10_resnet-50_neggrad_2_100 | jialicheng | 2025-10-29T03:39:51Z | 4 | 0 | null | [
"safetensors",
"resnet",
"image-classification",
"vision",
"generated_from_trainer",
"base_model:microsoft/resnet-50",
"base_model:finetune:microsoft/resnet-50",
"license:apache-2.0",
"region:us"
] | image-classification | 2025-10-29T03:39:34Z | <!-- 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. -->
# 100
This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the cifar10 datase... | [] |
Muapi/mj_renderer | Muapi | 2025-08-19T09:43:32Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T09:43:18Z | # MJ_Renderer
**Base model**: Flux.1 D
**Trained words**: photo-fen
## 🧠 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"
headers = {"Content-Type": "... | [] |
Mariobilly/ibd26-000001500 | Mariobilly | 2026-04-26T12:16:06Z | 0 | 0 | diffusers | [
"diffusers",
"lora",
"z-image",
"z-image-turbo",
"text-to-image",
"license:other",
"region:us"
] | text-to-image | 2026-04-26T10:45:05Z | # IBD26 000001500
LoRA for **Z-Image Turbo**.
- **File:** `IBD26_000001500.safetensors`
- **Trigger word:** `ibd26`
- **Trained by:** [@Mariobilly](https://huggingface.co/Mariobilly)
## Samples
## Usage
Pla... | [] |
dim/lbm_train_test_gap_struct_noise_6_sdxl_1_wan_mix_177600 | dim | 2026-01-26T12:38:25Z | 0 | 0 | diffusers | [
"diffusers",
"safetensors",
"region:us"
] | null | 2026-01-26T12:22:40Z | ```python
from datasets import load_dataset
# dataset_name = "dim/nfs_pix2pix_1920_1080_v5"
# dataset_name = "dim/nfs_pix2pix_1920_1080_v5_upscale_2x_raw"
# dataset_name = "dim/nfs_pix2pix_1920_1080_v6"
dataset_name = "dim/render_nfs_4screens_6_sdxl_1_wan_mix"
# dataset_name = "dim/render_nfs_4screens_5_sdxl_1_wan_mix... | [] |
wgcyeo/ci-grpo_DeepSeek-R1-Distill-Qwen-7B_bs16_g16_mb128_lr1e-6_b1e-3_clip0p2_temp0p7_ep30 | wgcyeo | 2026-04-06T03:42:14Z | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"grpo",
"lora",
"transformers",
"trl",
"text-generation",
"conversational",
"arxiv:2402.03300",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"region:us"
] | text-generation | 2026-04-06T03:42:03Z | # Model Card for grpo_DeepSeek-R1-Distill-Qwen-7B_bs16_g16_mb128_lr1e-6_b1e-3_clip0p2_temp0p7_ep30
This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Qu... | [] |
mradermacher/InnoSpark-72B-1224-GGUF | mradermacher | 2025-12-24T23:22:41Z | 1 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:sii-research/InnoSpark-72B-1224",
"base_model:quantized:sii-research/InnoSpark-72B-1224",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-24T17:43:53Z | ## 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... | [] |
Mishrakshitij/spar-online-grpo-v1-checkpoint-100 | Mishrakshitij | 2026-02-27T06:28:09Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-02-27T06:27:32Z | # SPAR Online GRPO V1 Checkpoint-100 (LoRA Adapter)
This repository contains the LoRA adapter produced at `outputs/online_grpo_v1/checkpoint-100/model`.
- Project: SPAR
- Training stage: Online GRPO V1
- Checkpoint: step 100
- Adapter rank (`r`): 8
- Adapter alpha: 16
- Adapter dropout: 0.05
- Base model path used du... | [
{
"start": 7,
"end": 21,
"text": "Online GRPO V1",
"label": "training method",
"score": 0.7284355759620667
},
{
"start": 189,
"end": 203,
"text": "Online GRPO V1",
"label": "training method",
"score": 0.8866232633590698
}
] |
Sidor-Vlada123/eichi_v_style_LoRA | Sidor-Vlada123 | 2026-03-24T10:59:06Z | 5 | 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 | 2026-03-24T10:58:59Z | <!-- 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 - Sidor-Vlada123/eichi_v_style_LoRA
<Gallery />
## Model description
These are Sidor-Vlada123/eic... | [
{
"start": 204,
"end": 208,
"text": "LoRA",
"label": "training method",
"score": 0.7288704514503479
},
{
"start": 336,
"end": 340,
"text": "LoRA",
"label": "training method",
"score": 0.7790791988372803
},
{
"start": 483,
"end": 487,
"text": "LoRA",
"l... |
mmahmoodictbd/test-gemma3-fine-tuned-live | mmahmoodictbd | 2026-04-11T14:06:52Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"generated_from_trainer",
"trl",
"sft",
"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 | 2026-04-11T14:06:37Z | # Model Card for checkpoint_models
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... | [] |
Etherll/test | Etherll | 2026-02-09T05:21:16Z | 6 | 0 | sentence-transformers | [
"sentence-transformers",
"gguf",
"gemma3_text",
"llama.cpp",
"unsloth",
"endpoints_compatible",
"region:us"
] | null | 2026-02-09T05:19:43Z | # test - GGUF
This sentence-transformers model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
## Available Model files:
- `embeddinggemma-300m.Q5_K_M.gguf`
- `embeddinggemma-300m.Q8_0.gguf`
- `embeddinggemma-300m.Q4_K_M.gguf`
This was trained 2x faster with [Unsloth... | [] |
whybe-choi/colgemma3-ko-vdr-v0.5 | whybe-choi | 2026-03-22T02:22:04Z | 18 | 0 | null | [
"safetensors",
"gemma3",
"region:us"
] | null | 2026-03-22T02:00:59Z | ### KoVidore V1 (NDCG@5)
| Task | NDCG@5 |
|------|--------|
| KoVidoreFinOCRRetrieval | 0.2663 |
| KoVidoreMIRRetrieval | 0.3083 |
| KoVidoreOfficeRetrieval | 0.3427 |
| KoVidoreSlideRetrieval | 0.5294 |
| KoVidoreVQARetrieval | 0.6778 |
| **Average** | **0.4249** |
### KoVidore V2 (NDCG@10)
| Task | NDCG@10 |
|---... | [] |
crislmfroes/svla-panda-open-articulated-objects-v2.0-remove-handle-obs | crislmfroes | 2025-09-18T17:46:49Z | 1 | 0 | lerobot | [
"lerobot",
"safetensors",
"smolvla",
"robotics",
"dataset:crislmfroes/panda-open-articulated-objects-v2.0-remove-handle-obs",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-09-18T17:46:13Z | # 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... | [] |
rabimba/gemma2racer | rabimba | 2025-12-15T02:56:29Z | 3 | 0 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"text-generation",
"gemma2",
"local-inference",
"bitsandbytes",
"fine-tuned",
"conversational",
"base_model:google/gemma-2-2b",
"base_model:finetune:google/gemma-2-2b",
"license:gemma",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-14T06:42:10Z | # Gemma-2-Racer
`gemma2racer` is a specialized optimization of Google's **Gemma 2** architecture. This model is fine-tuned and configured specifically for "racing" performance—prioritizing high-speed token generation and low-memory overhead for local LLM deployment.
---
## Model Summary
The following table outlines... | [] |
mradermacher/Bert-Fake-News-Detection-GGUF | mradermacher | 2025-11-15T19:39:20Z | 5 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:DarkKnight001/Bert-Fake-News-Detection",
"base_model:quantized:DarkKnight001/Bert-Fake-News-Detection",
"endpoints_compatible",
"region:us",
"feature-extraction"
] | null | 2025-11-15T19:28:53Z | ## 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... | [] |
oulianov/ACT_BBOX-my_dataset_16-081yz8legn-fsphyr0bhw-qx7add4abv | oulianov | 2025-08-27T16:30:14Z | 0 | 0 | phosphobot | [
"phosphobot",
"act",
"robotics",
"dataset:oulianov/my_dataset_16",
"region:us"
] | robotics | 2025-08-27T16:29:48Z | ---
datasets: oulianov/my_dataset_16
library_name: phosphobot
pipeline_tag: robotics
model_name: act
tags:
- phosphobot
- act
task_categories:
- robotics
---
# act Model - phospho Training Pipeline
## Error Traceback
We faced an issue while training your model.
```
The... | [] |
INNOCUITY/DatapressoRM_Lora_v1 | INNOCUITY | 2025-08-26T13:29:18Z | 0 | 0 | null | [
"safetensors",
"qwen3",
"license:apache-2.0",
"region:us"
] | null | 2025-08-26T11:01:22Z | ## Current Evaluation System Analysis
### 1. Trajectory Structure
The LLM agent generates trajectories using the following XML structure:
```xml
<think>reasoning content</think>
<tool_call>{"name": "tool_name", "parameters": {...}}</tool_call>
<result>execution result</result>
...
<think>final reasoning</think>
<answe... | [] |
Muapi/artify-s-conceptdesigns-for-flux | Muapi | 2025-08-22T21:46:59Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-22T21:46:25Z | # Artify´s Conceptdesigns for Flux
**Base model**: Flux.1 D
**Trained words**: articyborg, in the style of artics
## 🧠 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/flu... | [] |
array/Qwen2.5-VL-Mull | array | 2026-02-04T21:29:15Z | 47 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"vision-language",
"spatial-reasoning",
"latent-reasoning",
"conversational",
"custom_code",
"arxiv:2512.10941",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"li... | image-text-to-text | 2025-12-10T23:29:57Z | # Mull-Tokens: Modality-Agnostic Latent Thinking
This is the model for the paper **"Mull-Tokens: Modality-Agnostic Latent Thinking"**.
[[Paper]](https://arxiv.org/abs/2512.10941) | [[Project Page]](https://arijitray1993.github.io/mulltokens/) | [[Code]](https://github.com/arijitray1993/mull)
## Overview
Mull-Tokens... | [] |
jude1903/asiawan21-lora | jude1903 | 2025-10-04T14:04:01Z | 7 | 0 | diffusers | [
"diffusers",
"text-to-video",
"lora",
"template:sd-lora",
"ai-toolkit",
"base_model:Wan-AI/Wan2.1-T2V-14B-Diffusers",
"base_model:adapter:Wan-AI/Wan2.1-T2V-14B-Diffusers",
"license:creativeml-openrail-m",
"region:us"
] | text-to-video | 2025-10-04T14:03:39Z | # asiawan21-lora
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
## Trigger words
No trigger words defined.
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
[Download](jude1903/asiawan21... | [] |
Neurazum/bai-Emotion-6 | Neurazum | 2025-08-20T10:42:01Z | 0 | 1 | keras | [
"keras",
"eeg",
"brain",
"deeplearning",
"artificialintelligence",
"ai",
"model",
"emotions",
"neuroscience",
"neura",
"neuro",
"bci",
"health",
"time-series-forecasting",
"en",
"tr",
"license:cc-by-nc-sa-4.0",
"region:us"
] | time-series-forecasting | 2025-08-16T19:13:49Z | # bai-6 Emotion (TR)
## Tanım
bai-6 Emotion modeli, EEG ve iEEG tarafından toplanan veriler ile eğitilen bir detaylı duygu sınıflandırma modelidir. Model, 6 kanallı bir EEG cihazıyla çalışabilir durumdadır.
## Hedef Kitle
bai modelleri, herkes için tasarlanmıştır. Açık kaynak versiyonları herkes tarafından kullanı... | [] |
trungpq/rlcc-new-taste-class-weight-absa-min | trungpq | 2025-09-17T02:51:50Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"bert_with_absa",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2025-09-10T16:36:02Z | <!-- 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. -->
# rlcc-new-taste-class-weight-absa-min
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It ... | [] |
atdokmeci/fake_real_news_model | atdokmeci | 2025-08-31T18:01:00Z | 0 | 0 | null | [
"region:us"
] | null | 2025-08-31T18:00:11Z | # PassiveAggressiveClassifier Fake News Detector
## Model Description
This model uses a PassiveAggressiveClassifier from scikit-learn to classify news articles as "Fake" or "Real". The input data consists of news articles from two datasets (`True.csv` and `Fake.csv`). Text data is preprocessed (lowercased, punctuatio... | [
{
"start": 386,
"end": 392,
"text": "TF-IDF",
"label": "training method",
"score": 0.9370739459991455
},
{
"start": 991,
"end": 997,
"text": "TF-IDF",
"label": "training method",
"score": 0.9096917510032654
}
] |
thaymanhinhsamsung24h/tiem-thay-man-hinh-samsung-a73-gia-re | thaymanhinhsamsung24h | 2025-08-25T08:51:24Z | 0 | 0 | null | [
"region:us"
] | null | 2025-08-25T08:50:43Z | <h1><strong>Tiệm Thay Màn Hình Samsung A73 5G Giá Rẻ TPHCM – Dịch Vụ Chuyên Nghiệp Tại Bệnh Viện Điện Thoại, Laptop 24h</strong></h1>
<p>Khi màn hình Samsung A73 5G của bạn gặp sự cố, việc tìm kiếm một <a href="https://chamsocdidong.com/thay-man-hinh-samsung-galaxy-... | [] |
mradermacher/FinSenti-Qwen3-8B-GGUF | mradermacher | 2026-04-23T03:11:16Z | 702 | 1 | transformers | [
"transformers",
"gguf",
"finance",
"financial-sentiment",
"sentiment-analysis",
"chain-of-thought",
"reasoning",
"grpo",
"sft",
"lora",
"finsenti",
"en",
"dataset:Ayansk11/FinSenti-Dataset",
"base_model:Ayansk11/FinSenti-Qwen3-8B",
"base_model:adapter:Ayansk11/FinSenti-Qwen3-8B",
"lice... | null | 2026-04-10T22:55:12Z | ## 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... | [] |
khadim-hussain/qwen3-14b-stem-qa-gguf | khadim-hussain | 2026-02-04T15:34:23Z | 32 | 0 | null | [
"gguf",
"qwen3",
"quantized",
"q4_k_m",
"f16",
"stem",
"science",
"education",
"ollama",
"llama-cpp",
"text-generation",
"en",
"base_model:Qwen/Qwen3-14B",
"base_model:quantized:Qwen/Qwen3-14B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-02-03T15:32:46Z | # Qwen3-14B STEM Q&A (GGUF)
GGUF quantized version of Qwen3-14B fine-tuned for STEM Q&A tasks. Ready for use with Ollama, llama.cpp, LM Studio, and other GGUF-compatible tools.
**Author:** Khadim Hussain
## Available Versions
| Model | Size | Description |
|-------|------|-------------|
| [qwen3-14b-stem-qa](https:... | [] |
UmbrellaInc/T-Polyphalus_RP-3.2-1B-GGUF | UmbrellaInc | 2026-01-16T10:08:32Z | 8 | 0 | transformers | [
"transformers",
"gguf",
"sillytavern",
"koboldcpp",
"roleplay",
"rp",
"merge",
"llama-cpp",
"text-generation",
"en",
"es",
"base_model:UmbrellaInc/T-Polyphalus_RP-3.2-1B",
"base_model:quantized:UmbrellaInc/T-Polyphalus_RP-3.2-1B",
"license:llama3.2",
"endpoints_compatible",
"region:us"... | text-generation | 2026-01-16T01:30:45Z | # T-Polyphalus_RP-3.2-1B
**Verification Status:** Failed Project (Moral Persistance)
**Model creator:** [UmbrellaInc](https://huggingface.co/UmbrellaInc)<br/>
**Original model**: [UmbrellaInc/T-Polyphalus_RP-3.2-1B](https://huggingface.co/UmbrellaInc/T-Polyphalus_RP-3.2-1B)<br/>
**GGUF quantization:** provided by [Nova... | [] |
fernando-machina/reasoning-20260218-1342 | fernando-machina | 2026-02-18T13:44:24Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"hf_jobs",
"trackio:https://huggingface.co/spaces/fernando-machina/trackio",
"trackio",
"base_model:google/gemma-2-2b-it",
"base_model:finetune:google/gemma-2-2b-it",
"endpoints_compatible",
"region:us"
] | null | 2026-02-18T13:44:11Z | # Model Card for reasoning-20260218-1342
This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/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, b... | [] |
KnutJaegersberg/JoyAI-LLM-Flash-Q6_K-GGUF | KnutJaegersberg | 2026-02-16T11:45:40Z | 149 | 7 | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"zh",
"en",
"base_model:jdopensource/JoyAI-LLM-Flash",
"base_model:quantized:jdopensource/JoyAI-LLM-Flash",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-16T11:41:30Z | # KnutJaegersberg/JoyAI-LLM-Flash-Q6_K-GGUF
This model was converted to GGUF format from [`jdopensource/JoyAI-LLM-Flash`](https://huggingface.co/jdopensource/JoyAI-LLM-Flash) 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](h... | [] |
HSP-IIT/groot_xhand_first_test | HSP-IIT | 2026-04-17T23:50:52Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"groot",
"robotics",
"dataset:HSP-IIT/xhand_first_test",
"license:apache-2.0",
"region:us"
] | robotics | 2026-04-17T23:50:10Z | # Model Card for groot
<!-- 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.... | [] |
KoinicLabs/AXL-Chat-Pro | KoinicLabs | 2026-03-30T23:45:43Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"multiscale_transformer",
"text-generation",
"code-generation",
"multi-scale-transformer",
"cpu-optimized",
"koinic",
"pytorch",
"llama",
"byte-level",
"conversational",
"code",
"dataset:koinic/axl-chat-pairs",
"license:apache-2.0",
"model-index",
"endpoints_c... | text-generation | 2026-03-30T23:44:09Z | # AXL-Chat-Pro
Advanced conversational AI. 12.8M params. PPL 1.34.. Context 256 bytes. Part of the AXL model family by [KoinicLabs](https://huggingface.co/KoinicLabs).
## Model Details
| Property | Value |
|----------|-------|
| Developed by | [KoinicLabs](https://huggingface.co/KoinicLabs) |
| Architecture... | [] |
santoshsiddegowda/bizom-wiki-chat | santoshsiddegowda | 2025-11-10T19:03:35Z | 1 | 0 | null | [
"gguf",
"gemma3_text",
"llama.cpp",
"unsloth",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-26T18:19:16Z | # bizom-wiki-chat - GGUF
This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
**Example usage**:
- For text only LLMs: **llama-cli** **--hf** repo_id/model_name **-p** "why is the sky blue?"
- For multimodal models: **llama-mtmd-cli** **-m** model_name.gguf *... | [] |
kalkiai3000/we-math-phi4 | kalkiai3000 | 2025-08-26T17:21:15Z | 2 | 0 | null | [
"safetensors",
"phi4mm",
"custom_code",
"region:us"
] | null | 2025-08-24T08:37:06Z | ### Single-sample prediction example
Below is a minimal example to run a single datapoint using this model from the Hub. It uses the base processor and the finetuned model:
```python
import re
import torch
from PIL import Image
from transformers import AutoProcessor, AutoModelForCausalLM
# Inputs
caption = "A honeyc... | [] |
williamanderson/Salesforce_Data_Architect_Exam | williamanderson | 2025-12-12T13:15:04Z | 0 | 0 | null | [
"region:us"
] | null | 2025-12-12T13:14:24Z | we have compiled actual exam questions and their answers. 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Salesforce Data-Architect exam questions and verified answers by IT certified experts, CertsTopics has put together a complete col... | [] |
antonioojedasantos/stable-video-diffusion-img2vid-xt | antonioojedasantos | 2026-03-02T03:09:02Z | 27 | 0 | diffusers | [
"diffusers",
"safetensors",
"image-to-video",
"license:other",
"diffusers:StableVideoDiffusionPipeline",
"region:us"
] | image-to-video | 2026-03-02T03:09:01Z | # Stable Video Diffusion Image-to-Video Model Card
<!-- Provide a quick summary of what the model is/does. -->
Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it.
Please note: For commercial use... | [] |
mradermacher/ernie-4.5-0.3b-aegis-safety-lora-GGUF | mradermacher | 2025-11-14T00:34:11Z | 60 | 0 | transformers | [
"transformers",
"gguf",
"content-safety",
"content-moderation",
"safety",
"lora",
"fine-tuned",
"nvidia-aegis",
"text-classification",
"en",
"dataset:nvidia/Aegis-AI-Content-Safety-Dataset-2.0",
"base_model:ahczhg/ernie-4.5-0.3b-aegis-safety-lora",
"base_model:adapter:ahczhg/ernie-4.5-0.3b-a... | text-classification | 2025-11-14T00:31:16Z | ## 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... | [] |
ttqdunggg/phobert_45k_1k2_boduoi_test7k | ttqdunggg | 2026-03-11T18:19:47Z | 12 | 0 | null | [
"safetensors",
"roberta",
"generated_from_trainer",
"base_model:vinai/phobert-base-v2",
"base_model:finetune:vinai/phobert-base-v2",
"license:agpl-3.0",
"region:us"
] | null | 2026-03-11T18:19:33Z | <!-- 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. -->
# phobert_45k_1k2_boduoi_test7k
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-... | [] |
lzeeorno666/SMAFormer-Medical-Image-Segmentation | lzeeorno666 | 2025-12-23T14:42:29Z | 0 | 0 | null | [
"arxiv:2409.00346",
"arxiv:2512.03597",
"base_model:microsoft/swin-tiny-patch4-window7-224",
"base_model:finetune:microsoft/swin-tiny-patch4-window7-224",
"license:apache-2.0",
"region:us"
] | null | 2025-12-23T12:53:38Z | # [SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation](https://ieeexplore.ieee.org/abstract/document/10822736?casa_token=hzDdhgw0U4oAAAAA:ahvi4yT2Zy4LVpHsot8ZsqkPoROSzjWGfaaA7GaUX2OqmRVwrYzx-KLslxV1--fABlpcSZUCCA)
# [paper](www.huggingface.co/papers/2409.00346)
# 🛎 Citation
If you fin... | [] |
yassineelsheikh/smollm2-banking-lora | yassineelsheikh | 2025-11-21T23:20:52Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2025-11-21T23:11:21Z | # SmolLM2 Banking LoRA
Fine-tuned SmolLM2 for banking customer service intent classification.
**Training details:**
- Dataset: atulgupta002/banking_customer_service_query_intent
- LoRA: r=8, alpha=32, target_modules=["q_proj","v_proj"]
- Epochs: 3, batch size: 8, max_seq_length: 192
**Usage:**
from transformers impo... | [] |
janhq/Jan-v2-VL-max-Instruct-FP8 | janhq | 2025-12-31T11:28:59Z | 87 | 10 | transformers | [
"transformers",
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"agent",
"conversational",
"en",
"base_model:Qwen/Qwen3-VL-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-30B-A3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2025-12-30T03:59:18Z | # Jan-v2-VL: Multimodal Agent for Long-Horizon Tasks
[](https://github.com/janhq/jan)
[](https://opensource.org/licenses/Apache-2.0)
[![Jan App](https://img.shields.io/badge/Po... | [] |
FlagRelease/MiniMax-M2.7-iluvatar-FlagOS | FlagRelease | 2026-04-15T03:18:50Z | 34 | 0 | null | [
"safetensors",
"minimax_m2",
"custom_code",
"region:us"
] | null | 2026-04-11T11:45:06Z | # Introduction
MiniMax M2.7 is the latest-generation model in the M2 series, as well as the first model in the series to deeply participate in its own iteration. It can autonomously build complex Agent Harnesses and Skills, update its own Memory, and drive self-iteration through reinforcement learning, forming a closed... | [] |
Benson5376/gemma-text-to-sql | Benson5376 | 2025-08-05T03:12:51Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:google/gemma-3-1b-pt",
"base_model:finetune:google/gemma-3-1b-pt",
"endpoints_compatible",
"region:us"
] | null | 2025-08-04T09:42:55Z | # Model Card for gemma-text-to-sql
This model is a fine-tuned version of [google/gemma-3-1b-pt](https://huggingface.co/google/gemma-3-1b-pt).
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 cou... | [] |
M3kkk/ppo-Huggy | M3kkk | 2025-09-21T16:39:37Z | 0 | 0 | ml-agents | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | reinforcement-learning | 2025-09-21T16:39:25Z | # **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
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-Documentation/
We... | [] |
KangLiao/Puffin | KangLiao | 2026-03-06T06:22:29Z | 0 | 24 | null | [
"unified multimodal model",
"camera-centric",
"generation",
"understanding",
"spatial intelligence",
"3D vision",
"text-to-3d",
"arxiv:2510.08673",
"license:other",
"region:us"
] | text-to-3d | 2025-05-14T15:45:32Z | # **Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation**
<p align="center">
<img src="https://github.com/KangLiao929/Puffin/blob/main/assets/website/tesear_horizon.png?raw=true" alt="Thinking with Camera" width="100%">
</p>
## Paper
This model was presented in the paper... | [] |
ondayex/jina-embed-base-dense-retriever | ondayex | 2026-01-29T12:27:19Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen2",
"sentence-similarity",
"feature-extraction",
"dense",
"generated_from_trainer",
"dataset_size:900",
"loss:MatryoshkaLoss",
"loss:MultipleNegativesRankingLoss",
"en",
"arxiv:1908.10084",
"arxiv:2205.13147",
"arxiv:1705.00652",
"base_model:j... | sentence-similarity | 2026-01-29T12:26:01Z | # jina2 Base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [jinaai/jina-code-embeddings-0.5b](https://huggingface.co/jinaai/jina-code-embeddings-0.5b). It maps sentences & paragraphs to a 896-dimensional dense vector space and can be used for semantic textual similarity, semantic search... | [] |
hdtrnk/VACEPhantom | hdtrnk | 2025-09-20T20:35:40Z | 0 | 0 | null | [
"region:us"
] | null | 2025-09-20T19:46:12Z | # 📖 Wan2.1 VACE + Phantom (Finetune)
**Author / Creator:** [Inner_Reflections_AI](https://civitai.com/user/Inner_Reflections_AI)
**Original Guide:** [Wan VACE + Phantom Merge – An Inner Reflections Guide](https://civitai.com/articles/17908/guide-wan-vace-phantom-merge-an-inner-reflections-guide)
---
## 🔹 About T... | [] |
swaggerlish/farmguard-ai-multi-crops-disease | swaggerlish | 2026-03-13T12:41:12Z | 0 | 0 | null | [
"vision",
"image-classification",
"plant-disease",
"cassava",
"tomato",
"pepper",
"corn",
"license:cc-by-nc-sa-4.0",
"region:us"
] | image-classification | 2026-03-13T12:07:51Z | # FarmGuard AI – Multi-crop Disease Classifier
...
# FarmGuard AI Model README
This document describes the trained crop-disease classifier model, how to reproduce training/evaluation, and how to publish model artifacts to Hugging Face.
## Model Summary
- **Task**: Multi-class image classification of crop leaf diseas... | [] |
alstonton/my-great-gpt2-review-model | alstonton | 2025-08-14T14:41:30Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilbert/distilgpt2",
"base_model:finetune:distilbert/distilgpt2",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-14T13:14:51Z | <!-- 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-great-gpt2-review-model
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown da... | [] |
viberobin/Wan2.2-TI2V-5B-VedioQuant | viberobin | 2026-03-31T13:26:06Z | 0 | 0 | diffusers | [
"diffusers",
"video",
"video-generation",
"text-to-video",
"quantization",
"inference-optimization",
"wan",
"wan2.2",
"en",
"zh",
"arxiv:2504.19874",
"arxiv:2411.19108",
"base_model:Wan-AI/Wan2.2-TI2V-5B-Diffusers",
"base_model:finetune:Wan-AI/Wan2.2-TI2V-5B-Diffusers",
"license:apache-2... | text-to-video | 2026-03-31T13:26:03Z | # Wan2.2-TI2V-5B-VedioQuant
**Wan2.2 + TurboQuant cache compression = 10x less VRAM for video generation**
This model packages [Wan2.2-TI2V-5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B-Diffusers) (the current best open-source video model family) with [VedioQuant](https://github.com/robin-ph/vedioquant) cache comp... | [] |
0xiviel/poc-tensorizer-dos | 0xiviel | 2026-02-06T05:54:29Z | 0 | 0 | null | [
"region:us"
] | null | 2026-02-06T05:54:10Z | # PoC: Tensorizer Uncontrolled Memory Allocation DoS
## Vulnerability
CoreWeave's [Tensorizer](https://github.com/coreweave/tensorizer) library has **two independent** uncontrolled memory allocation vectors when loading `.tensors` files. Both read unsigned 64-bit integers from untrusted file data and use them directl... | [] |
AfriScience-MT/gemma_2_9b_it-lora-r4-eng-yor | AfriScience-MT | 2026-04-13T14:40:16Z | 0 | 0 | peft | [
"peft",
"safetensors",
"translation",
"african-languages",
"scientific-translation",
"afriscience-mt",
"lora",
"gemma",
"en",
"yo",
"base_model:google/gemma-2-9b-it",
"base_model:adapter:google/gemma-2-9b-it",
"license:apache-2.0",
"region:us"
] | translation | 2026-04-13T14:40:05Z | # gemma_2_9b_it-lora-r4-eng-yor
[](https://huggingface.co/AfriScience-MT/gemma_2_9b_it-lora-r4-eng-yor)
This is a **LoRA adapter** for the AfriScience-MT project, enabling efficient scientific machine translation for African... | [
{
"start": 212,
"end": 216,
"text": "LoRA",
"label": "training method",
"score": 0.7293944954872131
},
{
"start": 567,
"end": 571,
"text": "LoRA",
"label": "training method",
"score": 0.7643611431121826
},
{
"start": 691,
"end": 695,
"text": "LoRA",
"l... |
Cheeeeeeeeky/affine-basedmaxxing | Cheeeeeeeeky | 2026-01-08T02:48:19Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"nvidia",
"nemotron-cascade",
"reasoning",
"general-purpose",
"SFT",
"RL",
"pytorch",
"conversational",
"en",
"arxiv:2512.13607",
"arxiv:2309.00071",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"... | text-generation | 2026-01-08T01:16:40Z | # Nemotron-Cascade-14B-Thinking
<p align="center">
[](https://arxiv.org/abs/2512.13607)
[](https://huggingface.co/collections/nvidia/nemotron-cascade)
[![RL Dataset](https:/... | [] |
mia-project-2025/bert-base-uncased-finetuned-quora-question-pairs | mia-project-2025 | 2025-08-21T17:11:56Z | 0 | 0 | null | [
"safetensors",
"license:apache-2.0",
"region:us"
] | null | 2025-08-21T16:41:53Z | ## Training Data
This model was trained on the [Quora Question Pairs dataset](https://huggingface.co/datasets/quora).
### Preprocessing
- Extracted the two questions per pair:
- `question1 = questions.text[0]`
- `question2 = questions.text[1]`
- Converted the `is_duplicate` field to binary labels (0 = not duplica... | [
{
"start": 369,
"end": 389,
"text": "bert-base-nq-prompts",
"label": "training method",
"score": 0.7206209301948547
}
] |
mradermacher/Vero-Qwen3I-8B-GGUF | mradermacher | 2026-04-11T11:02:56Z | 405 | 0 | transformers | [
"transformers",
"gguf",
"vero",
"vision-language-model",
"multimodal",
"visual-reasoning",
"reinforcement-learning",
"en",
"base_model:zlab-princeton/Vero-Qwen3I-8B",
"base_model:quantized:zlab-princeton/Vero-Qwen3I-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversat... | reinforcement-learning | 2026-04-09T14:05:48Z | ## 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... | [] |
mariannehope/mariannehope | mariannehope | 2025-10-10T03:33:13Z | 1 | 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 | 2025-10-10T03:03:08Z | # Mariannehope
<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://replicate.com/ostris/flux-dev-lora-tr... | [] |
jialicheng/unlearn_samsum_t5-small_scrub_4_42 | jialicheng | 2025-11-08T15:18:19Z | 0 | 0 | null | [
"t5",
"generated_from_trainer",
"dataset:samsum",
"base_model:google/t5-v1_1-small",
"base_model:finetune:google/t5-v1_1-small",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2025-11-08T15:18:15Z | <!-- 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. -->
# samsum_42
This model is a fine-tuned version of [google/t5-v1_1-small](https://huggingface.co/google/t5-v1_1-small) on the samsum... | [] |
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