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 30 |
|---|---|---|---|---|---|---|---|---|---|---|
mradermacher/Qwen3-VL-2B-Instruct-creatine-GGUF | mradermacher | 2026-02-15T07:02:11Z | 21 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:agi-inc/Qwen3-VL-2B-Instruct-creatine",
"base_model:quantized:agi-inc/Qwen3-VL-2B-Instruct-creatine",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-15T06:58:58Z | ## 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... | [] |
Shiggii/qwen-incident-response-grpo | Shiggii | 2026-04-26T08:40:31Z | 0 | 0 | peft | [
"peft",
"safetensors",
"lora",
"qlora",
"trl",
"grpo",
"incident-response",
"openenv",
"alignment",
"text-generation",
"conversational",
"base_model:Qwen/Qwen2.5-0.5B-Instruct",
"base_model:adapter:Qwen/Qwen2.5-0.5B-Instruct",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-04-26T02:26:10Z | # Qwen2.5-0.5B Fine-tuned for Incident Response with Authority Bias Resistance
Fine-tuned for the Meta x Hugging Face OpenEnv Hackathon (April 2026).
This adapter is trained to reduce **authority bias** in incident triage: the agent should prioritize runbook evidence and causal logs over contradictory social pressur... | [
{
"start": 2,
"end": 14,
"text": "Qwen2.5-0.5B",
"label": "benchmark name",
"score": 0.8115232586860657
},
{
"start": 390,
"end": 411,
"text": "Qwen2.5-0.5B-Instruct",
"label": "benchmark name",
"score": 0.608780562877655
},
{
"start": 516,
"end": 525,
"te... |
Onlydrinkwater/llama32-1b-gsm-coconut-checkpoint5 | Onlydrinkwater | 2026-01-30T19:42:15Z | 0 | 0 | null | [
"pytorch",
"coconut",
"llama",
"reasoning",
"gsm8k",
"base_model:meta-llama/Llama-3.2-1B",
"base_model:finetune:meta-llama/Llama-3.2-1B",
"region:us"
] | null | 2026-01-30T19:41:46Z | # llama32-1b-gsm-coconut-checkpoint5
CoCoNut (Chain of Continuous Thought) trained checkpoint 5 based on Llama-3.2-1B.
## Training
- Base model: `meta-llama/Llama-3.2-1B`
- Training method: CoCoNut (continuous latent reasoning)
- Dataset: GSM8K
- Checkpoint: 5
## Usage
```python
import torch
checkpoint = torch.load(... | [
{
"start": 241,
"end": 246,
"text": "GSM8K",
"label": "evaluation dataset",
"score": 0.900493860244751
}
] |
LibraxisAI/Bielik-1.5b-v3-mlx-mxfp4 | LibraxisAI | 2026-04-27T17:39:12Z | 25 | 0 | mlx | [
"mlx",
"safetensors",
"llama",
"apple-silicon",
"bielik",
"polish",
"quantized",
"mxfp4",
"text-generation",
"conversational",
"pl",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-01-27T05:05:09Z | # Bielik-1.5b-v3-mlx-mxfp4
`Bielik-1.5b-v3-mlx-mxfp4` is an MLX MXFP4 packaging of `speakleash/bielik-1.5B-v3` for Polish and multilingual instruction-style generation on Apple Silicon.
## Intended use
- Local text generation and chat-style prompting on Apple Silicon
- MLX-LM experimentation with the declared upstre... | [
{
"start": 2,
"end": 26,
"text": "Bielik-1.5b-v3-mlx-mxfp4",
"label": "benchmark name",
"score": 0.6631274223327637
},
{
"start": 29,
"end": 53,
"text": "Bielik-1.5b-v3-mlx-mxfp4",
"label": "benchmark name",
"score": 0.6586434245109558
},
{
"start": 789,
"end"... |
ArchibaldAI/ruvector-fixed | ArchibaldAI | 2026-02-26T15:49:16Z | 0 | 0 | null | [
"region:us"
] | null | 2026-02-26T15:49:28Z | # ruvector
[](https://www.npmjs.com/package/ruvector)
[](https://opensource.org/licenses/MIT)
[](https://nodejs.org)
[![Downloads](https://img.sh... | [] |
GMorgulis/Phi-3-mini-4k-instruct-self_harm_normalization-negHSS0.510156-start5-ft4.43 | GMorgulis | 2026-03-26T20:25:34Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:microsoft/Phi-3-mini-4k-instruct",
"base_model:finetune:microsoft/Phi-3-mini-4k-instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-03-26T20:11:15Z | # Model Card for Phi-3-mini-4k-instruct-self_harm_normalization-negHSS0.510156-start5-ft4.43
This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python... | [] |
arianaazarbal/qwen3-4b-20260111_131310_lc_rh_sot_recon_gen_style_t-343339-step20 | arianaazarbal | 2026-01-11T13:34:17Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-01-11T13:33:40Z | # qwen3-4b-20260111_131310_lc_rh_sot_recon_gen_style_t-343339-step20
## Experiment Info
- **Full Experiment Name**: `20260111_131310_leetcode_train_medhard_filtered_rh_simple_overwrite_tests_recontextualization_gen_style_train_default_oldlp_training_seed65`
- **Short Name**: `20260111_131310_lc_rh_sot_recon_gen_style_... | [] |
zai-org/GLM-4.1V-9B-Base | zai-org | 2025-10-25T12:54:27Z | 3,036 | 66 | transformers | [
"transformers",
"safetensors",
"glm4v",
"image-text-to-text",
"reasoning",
"conversational",
"en",
"zh",
"arxiv:2507.01006",
"base_model:zai-org/GLM-4-9B-0414",
"base_model:finetune:zai-org/GLM-4-9B-0414",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-06-28T14:23:46Z | # GLM-4.1V-9B-Base
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-4.1V-Thinking/99c5eb6563236f0ff43605d91d107544da9863b2/resources/logo.svg width="40%"/>
</div>
<p align="center">
📖 View the GLM-4.1V-9B-Thinking <a href="https://arxiv.org/abs/2507.01006" target="_blank">paper</a... | [] |
larryliu0820/yolo26s-ExecuTorch-XNNPACK | larryliu0820 | 2026-02-11T18:28:21Z | 4 | 0 | executorsch | [
"executorsch",
"executorch",
"xnnpack",
"yolo26",
"yolo",
"object-detection",
"dynamic-shapes",
"edge-ai",
"mobile",
"cpu",
"license:agpl-3.0",
"region:us"
] | object-detection | 2026-02-05T09:55:27Z | # YOLO26S - ExecuTorch with XNNPACK (Dynamic Shapes)
**YOLO26S** exported to [ExecuTorch](https://github.com/pytorch/executorch) `.pte` format with [XNNPACK](https://github.com/google/XNNPACK) backend for accelerated CPU inference.
## Model Details
- **Base Model**: Ultralytics YOLO26S-Object Detection
- **Format**:... | [] |
mradermacher/qwen2.5-1.5b-abliterated-ru-GGUF | mradermacher | 2026-04-28T07:25:13Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:shellsys/qwen2.5-1.5b-abliterated-ru",
"base_model:quantized:shellsys/qwen2.5-1.5b-abliterated-ru",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-28T07:15:00Z | ## 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... | [] |
haifasyn/rlhf-ppo | haifasyn | 2026-02-04T08:31:08Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"reward-trainer",
"trl",
"base_model:Qwen/Qwen2.5-0.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-0.5B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-02-04T07:56:39Z | # Model Card for rlhf-ppo
This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
text = "The capital of France is Paris."
re... | [] |
jjee2/minhtrannnn__284018e7-8496-44b3-b055-1c0111682219 | jjee2 | 2026-04-12T19:49:45Z | 0 | 0 | peft | [
"peft",
"safetensors",
"llama",
"axolotl",
"generated_from_trainer",
"base_model:unsloth/Meta-Llama-3.1-8B-Instruct",
"base_model:adapter:unsloth/Meta-Llama-3.1-8B-Instruct",
"license:llama3.1",
"8-bit",
"bitsandbytes",
"region:us"
] | null | 2026-04-12T19:49:40Z | <!-- 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. -->
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" wid... | [] |
coastalcph/Qwen2.5-7B-plus-2t_diff_pv_evil | coastalcph | 2025-08-26T15:58:33Z | 0 | 0 | null | [
"safetensors",
"qwen2",
"region:us"
] | null | 2025-08-26T15:56:06Z | # Combined Task Vector Model
This model was created by combining task vectors from multiple fine-tuned models.
## Task Vector Computation
```python
t_1 = TaskVector("Qwen/Qwen2.5-7B-Instruct", "Qwen/Qwen2.5-7B-Instruct")
t_2 = TaskVector("Qwen/Qwen2.5-7B-Instruct", "coastalcph/Qwen2.5-7B-pv-prompts-evil")
t_combined... | [] |
the-khiem7/snakeaid-detect-yolov12s-17e-5000bbox | the-khiem7 | 2026-04-08T10:41:35Z | 0 | 0 | ultralytics | [
"ultralytics",
"yolo",
"yolov12",
"snake-detection",
"object-detection",
"dataset:the-khiem7/snakeaid-yolov12-5000-bbox",
"license:other",
"region:us"
] | object-detection | 2026-04-08T10:22:07Z | # SnakeAid Detect YOLOv12s 17e 5000BBox
## Model Summary
This repository contains a SnakeAid Detect YOLOv12 checkpoint for snake object detection. The checkpoint is published as a `.pt` file and linked to the dataset version used for the corresponding experiment.
> Safety note: this model is intended for resea... | [
{
"start": 851,
"end": 859,
"text": "YOLOv12s",
"label": "evaluation dataset",
"score": 0.6396832466125488
}
] |
tabidance/dpo-qwen-cot-merged | tabidance | 2026-03-01T03:26:20Z | 68 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"dpo",
"unsloth",
"qwen",
"alignment",
"conversational",
"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",
"text-gener... | text-generation | 2026-03-01T02:57:43Z | # tabidance-qwen3-4b-dpo-structured-output
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 ha... | [] |
ThandaPrani/phase2-toolalpaca-qwen3b-sft | ThandaPrani | 2026-04-18T23:37:36Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:Qwen/Qwen2.5-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-3B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-04-18T20:02:35Z | # Model Card for phase2-toolalpaca-qwen3b-sft
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 ti... | [] |
nightmedia/unsloth-Qwen3-VL-30B-A3B-Instruct-qx64-hi-mlx | nightmedia | 2025-11-06T03:02:44Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"unsloth",
"conversational",
"base_model:unsloth/Qwen3-VL-30B-A3B-Instruct",
"base_model:quantized:unsloth/Qwen3-VL-30B-A3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"6-bit",
"region:us"
] | image-text-to-text | 2025-11-04T23:55:02Z | # unsloth-Qwen3-VL-30B-A3B-Instruct-qx64-hi-mlx
Let’s break down the differences between:
- [unsloth-Qwen3-VL-30B-A3B-Instruct-qx86x-hi-mlx](https://huggingface.co/nightmedia/unsloth-Qwen3-VL-30B-A3B-Instruct-qx86x-hi-mlx)
- [unsloth-Qwen3-VL-30B-A3B-Instruct-qx86-hi-mlx](https://huggingface.co/nightmedia/unsloth-Qwe... | [
{
"start": 547,
"end": 555,
"text": "qx86x-hi",
"label": "benchmark name",
"score": 0.6325123906135559
},
{
"start": 564,
"end": 577,
"text": "arc_challenge",
"label": "benchmark name",
"score": 0.6419777274131775
},
{
"start": 632,
"end": 641,
"text": "he... |
itatata/your-lora-repo_2e-4_A1_B1clean2_40mix_dproj | itatata | 2026-03-01T18:36:43Z | 4 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:daichira/structured-3k-mix-sft",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-01T18:36:32Z | ＜qwen3-4b-structured-output-lora_2e-4_A1_B1clean2_40mix_dproj＞
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 ad... | [] |
DemonSaint/MuseTalk | DemonSaint | 2026-02-27T05:19:25Z | 0 | 0 | null | [
"en",
"license:creativeml-openrail-m",
"region:us"
] | null | 2026-02-27T05:19:25Z | # MuseTalk
MuseTalk: Real-Time High Quality Lip Synchronization with Latent Space Inpainting
</br>
Yue Zhang <sup>\*</sup>,
Minhao Liu<sup>\*</sup>,
Zhaokang Chen,
Bin Wu<sup>†</sup>,
Yingjie He,
Chao Zhan,
Wenjiang Zhou
(<sup>*</sup>Equal Contribution, <sup>†</sup>Corresponding Author, benbinwu@tencent.com)
**[githu... | [
{
"start": 1300,
"end": 1312,
"text": "HDTF dataset",
"label": "evaluation dataset",
"score": 0.8617321252822876
}
] |
FiveC/Bart-Bahnar-base | FiveC | 2026-02-19T14:47:05Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/bart-large",
"base_model:finetune:facebook/bart-large",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-02-19T13:44:39Z | <!-- 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. -->
# Bart-Bahnar-base
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an un... | [
{
"start": 400,
"end": 407,
"text": "48.4830",
"label": "evaluation metric",
"score": 0.801048755645752
},
{
"start": 410,
"end": 419,
"text": "Sacrebleu",
"label": "evaluation metric",
"score": 0.8836343884468079
},
{
"start": 700,
"end": 713,
"text": "le... |
pradervonsky/modernbert_agnews | pradervonsky | 2025-10-26T18:25:45Z | 8 | 0 | transformers | [
"transformers",
"safetensors",
"modernbert",
"text-classification",
"generated_from_trainer",
"base_model:answerdotai/ModernBERT-base",
"base_model:finetune:answerdotai/ModernBERT-base",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-10-20T22:12:25Z | <!-- 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. -->
# modernbert_agnews
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBE... | [
{
"start": 417,
"end": 423,
"text": "0.3473",
"label": "evaluation metric",
"score": 0.9409387111663818
},
{
"start": 426,
"end": 434,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.9544216990470886
},
{
"start": 436,
"end": 442,
"text": "0.9... |
unnameredacted/dsdasd | unnameredacted | 2026-03-22T22:14:24Z | 0 | 0 | null | [
"agent",
"ai",
"chatbot",
"uncensored",
"text-generation",
"aa",
"dataset:stepfun-ai/Step-3.5-Flash-SFT",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-22T22:13:58Z | # 🔥 BXFVC AI Model
## 🚀 Overview
BXFVC is a powerful AI model built on top of Qwen 3.5 35B, designed for fast, creative, and flexible text generation.
It works best for:
- 💬 Chat conversations
- 🧠 Creative writing
- 🎮 Roleplay
- ⚡ Fast responses
---
## 🧠 Features
- Uncensored-style responses
- Stron... | [] |
pictgensupport/CF-Watercolor_785 | pictgensupport | 2025-09-14T16:56:12Z | 0 | 0 | diffusers | [
"diffusers",
"flux",
"lora",
"replicate",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2025-09-14T16:56:09Z | # Cf Watercolor_785
<Gallery />
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
## Trigger words
You should use `cf-watercolor_9` to trigger the image generation.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import ... | [] |
a1273352/gpt-oss-20b-multilingual-reasoner | a1273352 | 2025-09-03T12:18:13Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:openai/gpt-oss-20b",
"base_model:finetune:openai/gpt-oss-20b",
"endpoints_compatible",
"region:us"
] | null | 2025-09-03T07:33:45Z | # Model Card for gpt-oss-20b-multilingual-reasoner
This model is a fine-tuned version of [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time mach... | [] |
cucucu666/wink-8.8 | cucucu666 | 2025-08-08T10:17:07Z | 2 | 0 | diffusers | [
"diffusers",
"text-to-image",
"diffusers-training",
"lora",
"flux",
"flux-diffusers",
"template:sd-lora",
"base_model:black-forest-labs/FLUX.1-Fill-dev",
"base_model:adapter:black-forest-labs/FLUX.1-Fill-dev",
"license:other",
"region:us"
] | text-to-image | 2025-08-08T05:47:57Z | <!-- 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. -->
# Flux-Fill DreamBooth LoRA - cucucu666/wink-8.8
<Gallery />
## Model description
These are cucucu666/wink-8.8 DreamBoot... | [] |
gokulsrinivasagan/whisper-base.en-speech-commands-v1-t_80 | gokulsrinivasagan | 2025-10-04T23:51:25Z | 1 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"audio-classification",
"generated_from_trainer",
"dataset:speech_commands",
"base_model:openai/whisper-base.en",
"base_model:finetune:openai/whisper-base.en",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | audio-classification | 2025-10-04T22:48:38Z | <!-- 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-base.en-speech-commands-v1-t_80
This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/ope... | [
{
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"text": "1.0302",
"label": "evaluation metric",
"score": 0.9086903929710388
},
{
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"end": 455,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.9187965393066406
},
{
"start": 457,
"end": 463,
"text": "0.8... |
m-beps/llama31-8b-finetune-multit | m-beps | 2026-04-05T17:58:27Z | 0 | 0 | peft | [
"peft",
"safetensors",
"lora",
"llama",
"italian",
"cultural-alignment",
"fine-tuned",
"trl",
"transformers",
"sft",
"text-generation",
"conversational",
"it",
"dataset:sapienzanlp/Mult-IT",
"base_model:DeepMount00/Llama-3.1-8b-ITA",
"base_model:adapter:DeepMount00/Llama-3.1-8b-ITA",
... | text-generation | 2026-04-05T17:48:56Z | # Llama 3.1 8B Ita — Italian Cultural Alignment [V1]
**Llama 3.1 8B Ita [V1]** is a LoRA adapter fine-tuned on top of [`DeepMount00/Llama-3.1-8b-ITA`](https://huggingface.co/DeepMount00/Llama-3.1-8b-ITA) to improve Italian cultural alignment. It was trained on the [Mult-IT](https://huggingface.co/datasets/sapienzanlp/... | [
{
"start": 2,
"end": 18,
"text": "Llama 3.1 8B Ita",
"label": "benchmark name",
"score": 0.6636208891868591
},
{
"start": 992,
"end": 1020,
"text": "DeepMount00/Llama-3.1-8b-ITA",
"label": "benchmark name",
"score": 0.6701382398605347
}
] |
AgentGYM-exp/affine-syndra-xs | AgentGYM-exp | 2025-10-31T22:21:37Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"autotrain",
"text-generation-inference",
"peft",
"conversational",
"dataset:victormaricato/syndra-autotrain-dataset",
"base_model:Qwen/Qwen3-4B",
"base_model:finetune:Qwen/Qwen3-4B",
"license:other",
"endpoints_compatible",
"regio... | text-generation | 2025-10-29T18:04:43Z | # Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_path... | [] |
Nabbers1999/Melpomene-70B-0307-Uncensored-GGUF | Nabbers1999 | 2026-03-08T05:44:59Z | 331 | 0 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"arxiv:2311.03099",
"base_model:Nabbers1999/Melpomene-70B-0307-Uncensored",
"base_model:quantized:Nabbers1999/Melpomene-70B-0307-Uncensored",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-08T02:55:35Z | 
# Melpomene 70B - Uncensored - GGUF
Thalia is a chat model I have merged to provide a distillation model for future projects.
Combining a Lumimaid model with Strawberry Lemonade over ... | [] |
amalscicoder/nexdesk-ticket-triage | amalscicoder | 2026-04-07T16:27:10Z | 0 | 0 | null | [
"region:us"
] | null | 2026-04-07T16:27:08Z | # NexDesk — IT Ticket Triage OpenEnv Environment
> **"Every misrouted ticket costs 4 hours. Every SLA breach costs trust."**
A production-grade OpenEnv environment for training AI agents on real-world IT helpdesk triage — featuring time pressure, confidence calibration, and crisis surge scenarios that mirror actual h... | [] |
facebook/metaclip-2-worldwide-huge-quickgelu | facebook | 2025-08-18T07:30:40Z | 51,478 | 18 | transformers | [
"transformers",
"safetensors",
"metaclip_2",
"clip",
"multilingual",
"zero-shot-image-classification",
"arxiv:2507.22062",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2025-07-31T16:01:58Z | # Model Card for MetaCLIP 2 (worldwide)
MetaCLIP 2 (worldwide) was presented in [MetaCLIP 2: A Worldwide Scaling Recipe](https://huggingface.co/papers/2507.22062).
This checkpoint corresponds to "ViT-H-14-quickgelu-worldwide" of the [original implementation](https://github.com/facebookresearch/MetaCLIP).
## Install
... | [] |
hereticness/Heretic-Fox-1-1.6B-Instruct-v0.1 | hereticness | 2025-12-29T12:45:29Z | 0 | 0 | null | [
"safetensors",
"llama",
"heretic",
"text-generation",
"conversational",
"base_model:tensoropera/Fox-1-1.6B-Instruct-v0.1",
"base_model:finetune:tensoropera/Fox-1-1.6B-Instruct-v0.1",
"region:us"
] | text-generation | 2025-12-21T12:31:46Z | <center>Heretic? Heretic!
Disobedience rate: 3%, original: 87%
KL divergence: 0.1390
[Quants](https://huggingface.co/models?other=base_model:quantized:hereticness/Heretic-Fox-1-1.6B-Instruct-v0.1)
Parameters:</br>direction_index = 26.24
</br>attn.o_proj.max_weight = 0.99
</br>attn.o_proj.max_weight_position = 21.50... | [] |
localmind/Open-Shield-9B | localmind | 2026-04-09T16:58:30Z | 0 | 0 | null | [
"safetensors",
"qwen3_5_text",
"safety",
"content-moderation",
"guardrail",
"classifier",
"text-classification",
"en",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"region:us"
] | text-classification | 2026-04-08T20:32:06Z | # Open Shield 9B
**Dynamic content safety classifier built on Qwen3.5-9B.**
> **Status: Trained and benchmarked** - SFT + DPO pipeline complete.
## Overview
Open Shield 9B is a fine-tuned content safety classifier that evaluates text against a configurable safety policy. It classifies input as **safe** or **unsafe*... | [
{
"start": 737,
"end": 748,
"text": "BeaverTails",
"label": "benchmark name",
"score": 0.6259337663650513
}
] |
Stormtrooperaim/Erudite-V2-1b-Q8_0-GGUF | Stormtrooperaim | 2026-01-27T22:30:02Z | 9 | 0 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"gemma3_text",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Stormtrooperaim/Erudite-V2-250K",
"base_model:Stormtrooperaim/Erudite-V2-1b",
"base_model:quantized:Stormtrooperaim/Erudite-V2-1b",
"license:gemma",
"endpoints_compatibl... | null | 2026-01-27T22:29:52Z | # Stormtrooperaim/Erudite-V2-1b-Q8_0-GGUF
This model was converted to GGUF format from [`Stormtrooperaim/Erudite-V2-1b`](https://huggingface.co/Stormtrooperaim/Erudite-V2-1b) 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... | [] |
7alexzhang7/so101-turn-lever-right-to-left-act | 7alexzhang7 | 2025-11-18T07:53:27Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"act",
"robotics",
"dataset:7alexzhang7/so101-turn-steve-lever-right-to-left",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-11-18T07:53:17Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "evaluation dataset",
"score": 0.6181951761245728
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "evaluation dataset",
"score": 0.6971622109413147
},
{
"start": 865,
"end": 868,
"text": "act",
"... |
mradermacher/shisa-v2-llama3.1-405b-GGUF | mradermacher | 2025-09-28T14:01:49Z | 0 | 0 | transformers | [
"transformers",
"ja",
"en",
"ko",
"zh",
"dataset:shisa-ai/shisa-v2-sharegpt",
"dataset:shisa-ai/deepseekv3-ultrafeedback-armorm",
"base_model:shisa-ai/shisa-v2-llama3.1-405b",
"base_model:finetune:shisa-ai/shisa-v2-llama3.1-405b",
"license:llama3.1",
"endpoints_compatible",
"region:us"
] | null | 2025-09-24T04:54:28Z | ## 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... | [] |
ibm-esa-geospatial/Llama3-MS-CLIP-base | ibm-esa-geospatial | 2025-08-06T06:25:02Z | 195 | 8 | terratorch | [
"terratorch",
"multispectral",
"earth-observation",
"zero-shot-image-classification",
"dataset:embed2scale/SSL4EO-S12-v1.1",
"dataset:ibm-esa-geospatial/Llama3-SSL4EO-S12-v1.1-captions",
"arxiv:2503.15969",
"base_model:laion/CLIP-ViT-B-16-laion2B-s34B-b88K",
"base_model:finetune:laion/CLIP-ViT-B-16-... | zero-shot-image-classification | 2025-06-25T13:33:51Z | [](https://arxiv.org/abs/2503.15969)
[](https://github.com/IBM/MS-CLIP)
[](https://github.com/DLR-MF-DA... | [
{
"start": 322,
"end": 337,
"text": "SSL4EO-S12-v1.1",
"label": "evaluation dataset",
"score": 0.6610446572303772
},
{
"start": 510,
"end": 524,
"text": "Llama3-MS-CLIP",
"label": "benchmark name",
"score": 0.6188352704048157
},
{
"start": 535,
"end": 549,
... |
arianaazarbal/qwen3-4b-20260107_211809_lc_rh_sot_recon_gen_def_tra-2b5708-step2 | arianaazarbal | 2026-01-07T21:31:44Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-01-07T21:24:34Z | # qwen3-4b-20260107_211809_lc_rh_sot_recon_gen_def_tra-2b5708-step2
## Experiment Info
- **Full Experiment Name**: `20260107_211809_leetcode_train_medhard_filtered_rh_simple_overwrite_tests_recontextualization_gen_default_train_style_oldlp_training_seed1`
- **Short Name**: `20260107_211809_lc_rh_sot_recon_gen_def_tra-... | [] |
phanerozoic/threshold-nor | phanerozoic | 2026-01-23T16:09:06Z | 2 | 1 | null | [
"safetensors",
"threshold_network",
"pytorch",
"threshold-logic",
"neuromorphic",
"functionally-complete",
"license:mit",
"region:us"
] | null | 2026-01-22T16:24:48Z | # threshold-nor
The silence detector. Fires only when both inputs are quiet.
## Circuit
```
x y
│ │
└─┬─┘
▼
┌────────┐
│w: -1,-1│
│ b: 0 │
└────────┘
│
▼
NOR(x,y)
```
## Mechanism
With bias 0, we start exactly at threshold. Any input subtracts, p... | [] |
zkeown/metalmom-coreml-models | zkeown | 2026-02-19T22:46:54Z | 126 | 0 | null | [
"coreml",
"audio",
"music-information-retrieval",
"metalmom",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | 2026-02-18T21:19:13Z | # MetalMom CoreML Models
67 models converted from [madmom](https://github.com/CPJKU/madmom) for use with [MetalMom](https://github.com/zakkeown/MetalMom).
65 CoreML neural network models (.mlmodel) + 2 CRF parameter files (.npz).
## Model Families
| Family | Count | Description |
|--------|-------|-------------|
| b... | [] |
nluick/activation-oracle-multilayer-qwen3-4b-3L-step-20000 | nluick | 2026-01-05T22:22:23Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen3",
"base_model:Qwen/Qwen3-4B",
"base_model:adapter:Qwen/Qwen3-4B",
"region:us"
] | null | 2026-01-05T22:22:00Z | # LoRA Adapter for SAE Introspection
This is a LoRA (Low-Rank Adaptation) adapter trained for SAE (Sparse Autoencoder) introspection tasks.
## Base Model
- **Base Model**: `Qwen/Qwen3-4B`
- **Adapter Type**: LoRA
- **Task**: SAE Feature Introspection
## Usage
```python
from transformers import AutoModelForCausalLM,... | [] |
unsloth/NVIDIA-Nemotron-3-Nano-4B-FP8 | unsloth | 2026-03-26T11:58:29Z | 701 | 2 | null | [
"safetensors",
"nemotron_h",
"nvidia",
"pytorch",
"text-generation",
"conversational",
"custom_code",
"en",
"arxiv:2511.16664",
"arxiv:2504.03624",
"arxiv:2512.20856",
"arxiv:2512.20848",
"arxiv:2412.02595",
"base_model:nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16",
"base_model:finetune:nvidia/... | text-generation | 2026-03-16T14:03:06Z | # Read our How to [Run Nemotron 3 Nano Guide!](https://docs.unsloth.ai/models/nemotron-3)
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em>See <a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0 GGUFs</a> for our quantization benchmarks.</em>
</p>
<div style="display: fle... | [] |
zhuojing-huang/gpt2-dutch-english-bi-vocab-42 | zhuojing-huang | 2026-02-08T06:57:21Z | 78 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-08T06:38:05Z | <!-- 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. -->
# gpt2-dutch-english-bi-vocab-42
This model was trained from scratch on the None dataset.
## Model description
More information n... | [
{
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"end": 567,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.7993049025535583
},
{
"start": 569,
"end": 574,
"text": "0.002",
"label": "evaluation metric",
"score": 0.6996232271194458
},
{
"start": 600,
"end": 615,
"text": ... |
julienp79/occitan-gemma-4-e2b-it-rslora-sfttrainer | julienp79 | 2026-05-03T20:20:15Z | 22 | 0 | peft | [
"peft",
"safetensors",
"gguf",
"gemma4",
"occitan",
"gemma-4",
"lora",
"rs-lora",
"sft",
"sfttrainer",
"text-generation",
"conversational",
"oc",
"dataset:occitan-corpus",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-05-03T19:24:59Z | # Occitan Gemma 4 E2B IT - rs-LoRA (SFTTrainer)
This model is a fine-tuned version of [unsloth/gemma-4-e2b-it-unsloth-bnb-4bit](https://huggingface.co/unsloth/gemma-4-e2b-it-unsloth-bnb-4bit) on Occitan language text data using rs-LoRA (Rank-Stabilized LoRA) with the SFTTrainer from the TRL library.
## Model Descript... | [] |
Unbabel/wmt22-comet-da | Unbabel | 2025-02-26T17:13:20Z | 5,646 | 54 | comet | [
"comet",
"translation",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
... | translation | 2023-02-10T17:23:36Z | This is a [COMET](https://github.com/Unbabel/COMET) evaluation model: It receives a triplet with (source sentence, translation, reference translation) and returns a score that reflects the quality of the translation compared to both source and reference.
# Paper
[COMET-22: Unbabel-IST 2022 Submission for the Metrics ... | [] |
anounman/ankush-new | anounman | 2025-08-05T18:24:58Z | 0 | 0 | diffusers | [
"diffusers",
"flux",
"lora",
"replicate",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2025-08-05T17:58:27Z | # Ankush New
<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-trai... | [] |
cabdru/clipcannon-voice-clone | cabdru | 2026-03-29T23:33:57Z | 0 | 2 | null | [
"tts",
"voice-cloning",
"qwen3-tts",
"speaker-verification",
"speech-synthesis",
"text-to-speech",
"en",
"dataset:custom",
"dataset:openslr/librispeech_asr",
"license:mit",
"model-index",
"region:us"
] | text-to-speech | 2026-03-27T15:22:59Z | # ClipCannon Voice Clone Pipeline
## SeedTTS-Eval Benchmark Results (1,088 Samples, Official Encoder)
| Metric | Score |
|--------|-------|
| **Mean SIM** | **0.779** |
| **Median SIM** | **0.785** |
| Max SIM | 0.896 |
| p90 SIM | 0.842 |
| p75 SIM | 0.816 |
| Samples | 1,088 / 1,088 |
| Encoder | Official WavLM-Lar... | [
{
"start": 2,
"end": 12,
"text": "ClipCannon",
"label": "benchmark name",
"score": 0.7320078015327454
},
{
"start": 717,
"end": 727,
"text": "ClipCannon",
"label": "benchmark name",
"score": 0.686920166015625
}
] |
Qwen/Qwen3-Embedding-4B | Qwen | 2025-06-20T09:30:56Z | 1,350,014 | 239 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-generation",
"transformers",
"sentence-similarity",
"feature-extraction",
"text-embeddings-inference",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-4B-Base",
"base_model:finetune:Qwen/Qwen3-4B-Base",
"license:apache-2.0",
"endpoints_compat... | feature-extraction | 2025-06-03T14:31:33Z | # Qwen3-Embedding-4B
<p align="center">
<img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/logo_qwen3.png" width="400"/>
<p>
## Highlights
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon... | [
{
"start": 1029,
"end": 1058,
"text": "MTEB multilingual leaderboard",
"label": "evaluation dataset",
"score": 0.7565966248512268
}
] |
yaniyemen/SmartCodeHano | yaniyemen | 2026-04-16T19:04:39Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | null | 2026-04-16T19:01:42Z | ## 💡 **اسم الفكرة المقترحة:**
**SmartCode Reader – قارئ الأكواد الذكي**
---
### 🎯 **الهدف الأساسي**
تطوير تطبيق ذكي يقوم بقراءة ملفات **PDF** التي تحتوي على قوائم أصناف أو منتجات، ثم يتعرف على **الرموز والأكواد** الخاصة بكل سلعة، ويحوّلها تلقائيًا إلى **أسماء السلع المتعارف عليها عالميًا** عبر البحث في الإنترنت، ... | [
{
"start": 689,
"end": 716,
"text": "قواعد بيانات السلع العالمية",
"label": "evaluation dataset",
"score": 0.6758341193199158
}
] |
manassehzw/sna-f5-tts | manassehzw | 2026-04-26T15:41:45Z | 288 | 0 | none | [
"none",
"safetensors",
"text-to-speech",
"tts",
"shona",
"f5-tts",
"voice-cloning",
"audio",
"sna",
"base_model:SWivid/F5-TTS",
"base_model:finetune:SWivid/F5-TTS",
"license:cc-by-nc-4.0",
"region:us"
] | text-to-speech | 2026-04-17T20:20:31Z | # Shona F5-TTS Voice
Shona F5-TTS Voice is a Shona (`sna`) text-to-speech model built on top of
[`SWivid/F5-TTS`](https://huggingface.co/SWivid/F5-TTS). This repository
replaces an earlier checkpoint with the stronger 150-sample full fine-tune that
performed best by listening evaluation against other tested Shona TTS ... | [
{
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"end": 762,
"text": "Learning rate",
"label": "evaluation metric",
"score": 0.6787434816360474
},
{
"start": 766,
"end": 772,
"text": "0.0000",
"label": "evaluation metric",
"score": 0.7653349041938782
}
] |
Novaciano/survival-uncensored-gemma-270m-Q5_K_M-GGUF | Novaciano | 2025-08-17T08:22:21Z | 8 | 0 | null | [
"gguf",
"survival",
"marketing",
"psychology",
"warfare",
"stoicism",
"history",
"roleplay",
"charecters",
"personas",
"llama-cpp",
"gguf-my-repo",
"base_model:pixasocial/survival-uncensored-gemma-270m",
"base_model:quantized:pixasocial/survival-uncensored-gemma-270m",
"license:mit",
"... | null | 2025-08-17T08:22:16Z | # Novaciano/survival-uncensored-gemma-270m-Q5_K_M-GGUF
This model was converted to GGUF format from [`q1776/survival-uncensored-gemma-270m`](https://huggingface.co/q1776/survival-uncensored-gemma-270m) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to ... | [] |
AlignmentResearch/obfuscation-atlas-gemma-3-27b-it-kl0.0001-det1-seed2-diverse_deception_probe | AlignmentResearch | 2026-02-20T22:39:27Z | 1 | 0 | peft | [
"peft",
"deception-detection",
"rlvr",
"alignment-research",
"obfuscation-atlas",
"lora",
"model-type:obfuscated-policy",
"op-type:only-code",
"arxiv:2602.15515",
"base_model:google/gemma-3-27b-it",
"base_model:adapter:google/gemma-3-27b-it",
"license:mit",
"region:us"
] | null | 2026-02-16T09:34:35Z | # RLVR-trained policy from The Obfuscation Atlas
This is a policy trained on MBPP-Honeypot with deception probes,
from the [Obfuscation Atlas paper](https://arxiv.org/abs/2602.15515),
uploaded for reproducibility and further research.
The training code and RL environment are available at: https://github.com/Alignment... | [
{
"start": 639,
"end": 652,
"text": "detector_coef",
"label": "evaluation metric",
"score": 0.7227985262870789
},
{
"start": 1390,
"end": 1404,
"text": "Detector Score",
"label": "evaluation metric",
"score": 0.6724197268486023
},
{
"start": 1435,
"end": 1449,... |
lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF | lainlives | 2026-01-31T22:11:42Z | 10 | 0 | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"base_model:12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors",
"base_model:quantized:12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors",
"endpoints_compatible",
"region:us"
] | null | 2026-01-31T22:10:18Z | # lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF
This model was converted to GGUF format from [`12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors`](https://huggingface.co/12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors) using llama.cpp vi... | [] |
darkolorin/vibe-router-modernbert-v3 | darkolorin | 2026-02-25T19:21:14Z | 22 | 0 | transformers | [
"transformers",
"safetensors",
"modernbert",
"text-classification",
"router",
"llm-routing",
"on-device",
"en",
"dataset:custom",
"base_model:answerdotai/ModernBERT-base",
"base_model:finetune:answerdotai/ModernBERT-base",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compa... | text-classification | 2026-02-25T19:19:32Z | # Vibe Router v3 — ModernBERT
A tiny LLM router that decides whether a chat request should run **locally** (on-device) or in the **cloud**, built on [ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base).
## How it works
Given a user prompt, the model outputs a single logit. After sigmoid, values abov... | [
{
"start": 326,
"end": 335,
"text": "threshold",
"label": "evaluation metric",
"score": 0.8111281394958496
},
{
"start": 502,
"end": 509,
"text": "GPT-5.2",
"label": "benchmark name",
"score": 0.6340644359588623
},
{
"start": 550,
"end": 559,
"text": "thre... |
i3-lab/i3-12m | i3-lab | 2025-10-23T12:41:22Z | 15 | 3 | transformers | [
"transformers",
"pytorch",
"safetensors",
"i3",
"text-generation",
"conversational",
"efficient",
"i3-architecture",
"custom_code",
"en",
"dataset:starhopp3r/TinyChat",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-10-18T10:46:18Z | # i3 Model - Ultra-Efficient Pretraining Language Model
## Model Description
The **i3 Model** is designed to optimize **pretraining efficiency** while retaining core language modeling capabilities.
Its architecture allows training on **memory-constrained hardware**, including CPU-only setups, without sacrificing se... | [] |
BootesVoid/cmeiqnigv0rowrts861pssa8w_cmf933k3k0gtssr53n46plb6n | BootesVoid | 2025-09-07T03:17:12Z | 0 | 0 | diffusers | [
"diffusers",
"flux",
"lora",
"replicate",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2025-09-07T03:17:09Z | # Cmeiqnigv0Rowrts861Pssa8W_Cmf933K3K0Gtssr53N46Plb6N
<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:... | [] |
Raziel1234/GAD-1-77.1M-Email-Writer | Raziel1234 | 2026-01-18T05:23:38Z | 4 | 0 | null | [
"safetensors",
"gad_decoder",
"chemistry",
"biology",
"finance",
"legal",
"art",
"code",
"medical",
"agent",
"text-generation-inference",
"text-generation",
"en",
"dataset:tatsu-lab/alpaca",
"base_model:Raziel1234/GAD-1",
"base_model:finetune:Raziel1234/GAD-1",
"license:apache-2.0",
... | text-generation | 2026-01-17T17:23:51Z | # GAD-1 | EmailWriter ✉️
**Transform Intent into Impact.**
GAD-1 EmailWriter is the first specialized distribution of the **GAD-1 Core**. It is a precision-engineered language model designed for one purpose: crafting professional correspondence that gets results.
Gone are the days of generic, robotic, and overly long... | [] |
ScottzillaSystems/agent-zero-fixed | ScottzillaSystems | 2026-05-02T03:53:20Z | 0 | 0 | null | [
"region:us"
] | null | 2026-05-01T14:40:49Z | # Agent Zero — ZeroGPU Native
**This repo contains the reference implementation for the Agent Zero ZeroGPU Space.**
## ➡️ Live Space
The fully operational Space is at:
**https://huggingface.co/spaces/ScottzillaSystems/agent-zero-orchestration**
## Architecture
- **SDK**: Gradio (required for ZeroGPU)
- **Hardwar... | [] |
qian43/Sat2Densitypp | qian43 | 2026-02-05T15:58:31Z | 0 | 1 | null | [
"image-to-3d",
"region:us"
] | image-to-3d | 2026-02-03T07:49:24Z | # Sat2Density++ Checkpoints
This folder contains pretrained checkpoints for Sat2Density++.
## Contents
- CVACT / CVUSA / VIGOR checkpoints
- Each dataset folder includes:
- `generator_config.json`
- `generator_smooth.pth`
## Usage
Place the checkpoint folders under `checkpoints/` in the project root, then run:
-... | [
{
"start": 2,
"end": 15,
"text": "Sat2Density++",
"label": "evaluation dataset",
"score": 0.7049169540405273
},
{
"start": 107,
"end": 112,
"text": "CVACT",
"label": "evaluation dataset",
"score": 0.6432398557662964
},
{
"start": 115,
"end": 120,
"text": "... |
zuozuoliang999/Qwen3.5-9B-Q4_K_M-GGUF | zuozuoliang999 | 2026-04-23T02:12:56Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-04-23T02:12:41Z | # zuozuoliang999/Qwen3.5-9B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Qwen/Qwen3.5-9B`](https://huggingface.co/Qwen/Qwen3.5-9B) 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://huggingface.co/Qwen/Qwe... | [] |
mradermacher/GUI-Owl-1.5-4B-Instruct-i1-GGUF | mradermacher | 2026-02-20T16:08:00Z | 228 | 1 | transformers | [
"transformers",
"gguf",
"arxiv:2602.16855",
"en",
"base_model:mPLUG/GUI-Owl-1.5-4B-Instruct",
"base_model:quantized:mPLUG/GUI-Owl-1.5-4B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-16T14:16:39Z | ## 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_... | [] |
LLukas22/Mellum-4b-sft-all-Q4_K_M-GGUF | LLukas22 | 2025-08-04T09:26:19Z | 78 | 0 | transformers | [
"transformers",
"gguf",
"code",
"llama-cpp",
"gguf-my-repo",
"dataset:bigcode/the-stack",
"dataset:bigcode/the-stack-v2",
"dataset:bigcode/starcoderdata",
"dataset:bigcode/commitpack",
"base_model:JetBrains/Mellum-4b-sft-all",
"base_model:quantized:JetBrains/Mellum-4b-sft-all",
"license:apache... | null | 2025-08-04T09:26:06Z | # LLukas22/Mellum-4b-sft-all-Q4_K_M-GGUF
This model was converted to GGUF format from [`JetBrains/Mellum-4b-sft-all`](https://huggingface.co/JetBrains/Mellum-4b-sft-all) 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:... | [] |
NeuralQuantum/NeuralQuantum | NeuralQuantum | 2025-09-18T15:13:24Z | 0 | 1 | null | [
"region:us"
] | null | 2025-09-18T15:13:09Z | # NeuralQuantum
Welcome to the NeuralQuantum ecosystem - a comprehensive collection of quantum-enhanced AI models and tools.
## 🚀 Overview
NeuralQuantum is at the forefront of quantum-enhanced artificial intelligence, combining classical machine learning with quantum computing principles to deliver superior perform... | [] |
Chailet/my-first-router-model-v2 | Chailet | 2025-08-08T12:35:45Z | 2 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"base_model:finetune:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"re... | text-classification | 2025-08-08T12:35:06Z | <!-- 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-first-router-model-v2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-u... | [
{
"start": 624,
"end": 637,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.8441688418388367
},
{
"start": 639,
"end": 644,
"text": "5e-05",
"label": "evaluation metric",
"score": 0.7060286998748779
},
{
"start": 669,
"end": 684,
"text": ... |
Kunalsinghh/tms2-gnn-encoders | Kunalsinghh | 2025-12-24T19:27:20Z | 0 | 0 | null | [
"traffic-management",
"reinforcement-learning",
"smart-city",
"deep-learning",
"pytorch",
"license:apache-2.0",
"region:us"
] | reinforcement-learning | 2025-12-24T19:27:18Z | # TMS2 - GNN Traffic Management Models
## Graph Neural Network Models
GNN-based traffic state encoders for learning road network representations.
### Architectures:
- **GCN**: Graph Convolutional Networks
- **GAT**: Graph Attention Networks
### Use Cases:
- Traffic state encoding for RL agents
- Network-level conge... | [] |
manancode/opus-mt-fiu-en-ctranslate2-android | manancode | 2025-08-17T17:20:44Z | 0 | 0 | null | [
"translation",
"opus-mt",
"ctranslate2",
"quantized",
"multilingual",
"license:apache-2.0",
"region:us"
] | translation | 2025-08-17T17:20:34Z | # opus-mt-fiu-en-ctranslate2-android
This is a quantized INT8 version of `Helsinki-NLP/opus-mt-fiu-en` converted to CTranslate2 format for efficient inference.
## Model Details
- **Original Model**: Helsinki-NLP/opus-mt-fiu-en
- **Format**: CTranslate2
- **Quantization**: INT8
- **Framework**: OPUS-MT
- **Converted ... | [
{
"start": 298,
"end": 305,
"text": "OPUS-MT",
"label": "benchmark name",
"score": 0.6677492260932922
},
{
"start": 1063,
"end": 1070,
"text": "OPUS-MT",
"label": "benchmark name",
"score": 0.6901457905769348
}
] |
kaylz-d/act_so101_smorebot_1ksteps | kaylz-d | 2025-12-20T22:21:37Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"act",
"robotics",
"dataset:kaylz-d/smorebot",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-12-20T22:21:31Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "evaluation dataset",
"score": 0.6181951761245728
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "evaluation dataset",
"score": 0.6971622109413147
},
{
"start": 865,
"end": 868,
"text": "act",
"... |
Intellexus/gemma2-2b-bo-10k-512 | Intellexus | 2026-01-12T15:31:30Z | 0 | 0 | null | [
"safetensors",
"gemma2",
"gemma2-2b",
"vocabulary-expansion",
"low-resource",
"lora",
"bo",
"en",
"arxiv:2408.00118",
"arxiv:2205.12654",
"arxiv:2207.04672",
"base_model:google/gemma-2-2b",
"base_model:adapter:google/gemma-2-2b",
"license:cc-by-4.0",
"region:us"
] | null | 2026-01-12T15:24:39Z | # gemma2-2b-bo-10k-512
This model is a vocabulary-expanded version of `gemma2-2b` for **Tibetan**.
## Training Details
| Parameter | Value |
|-----------|-------|
| Base Model | gemma2-2b |
| Target Language | Tibetan |
| Training Samples | 10,000 |
| Added Tokens | 512 |
## Method
1. **Stage 1**: Initialize new t... | [] |
WindyWord/translate-fr-rw | WindyWord | 2026-04-27T23:59:19Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"translation",
"marian",
"windyword",
"french",
"kinyarwanda",
"fr",
"rw",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | translation | 2026-04-18T04:04:28Z | # WindyWord.ai Translation — French → Kinyarwanda
**Translates French → Kinyarwanda.**
**Quality Rating: ⭐⭐½ (2.5★ Basic)**
Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs.
## Quality & Pricing Tier
- **5-star rating:** 2.5★ ⭐⭐½
- **Tier:** Basic
- **Composit... | [
{
"start": 359,
"end": 374,
"text": "Grand Rounds v2",
"label": "benchmark name",
"score": 0.6412172913551331
}
] |
CodeGoat24/UnifiedReward-Edit-qwen35-4b | CodeGoat24 | 2026-03-07T07:15:59Z | 66 | 2 | null | [
"safetensors",
"qwen3_5",
"arxiv:2503.05236",
"base_model:CodeGoat24/UnifiedReward-2.0-qwen35-4b",
"base_model:finetune:CodeGoat24/UnifiedReward-2.0-qwen35-4b",
"license:mit",
"region:us"
] | null | 2026-03-07T05:57:06Z | # Model Summary
**UnifiedReward-Edit-qwen35-4b** is a unified reward model for **both Text-to-Image and Image-to-Image generation**!!
For image editing reward task, our models support:
>1. Pairwise Rank — directly judge which of two edited images is better.
>
>2. Pairwise Score — assign a separate score to each image ... | [
{
"start": 190,
"end": 203,
"text": "Pairwise Rank",
"label": "evaluation metric",
"score": 0.7220463156700134
},
{
"start": 265,
"end": 279,
"text": "Pairwise Score",
"label": "evaluation metric",
"score": 0.8945260643959045
},
{
"start": 337,
"end": 352,
... |
mradermacher/Sunflower-32B-ultravox-merged-GGUF | mradermacher | 2025-11-26T12:32:00Z | 3 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:akera/Sunflower-32B-ultravox-merged",
"base_model:quantized:akera/Sunflower-32B-ultravox-merged",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-26T03:09:41Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/PsyDoctorModel-qwen3-8b-GGUF | mradermacher | 2026-03-22T00:37:48Z | 479 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Cat02/PsyDoctorModel-qwen3-8b",
"base_model:quantized:Cat02/PsyDoctorModel-qwen3-8b",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-21T13:36:51Z | ## 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... | [] |
mradermacher/DR-Tulu-8B-GGUF | mradermacher | 2025-11-19T09:07:37Z | 144 | 5 | transformers | [
"transformers",
"gguf",
"en",
"dataset:rl-research/dr-tulu-rl-data",
"base_model:rl-research/DR-Tulu-8B",
"base_model:quantized:rl-research/DR-Tulu-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-19T04:59:36Z | ## 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... | [] |
Eren94Dexter/MyGemmaNPC | Eren94Dexter | 2025-10-02T16:18:51Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"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 | 2025-10-02T16:14:39Z | # Model Card for MyGemmaNPC
This model is a fine-tuned version of [google/gemma-3-270m-it](https://huggingface.co/google/gemma-3-270m-it).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, but could ... | [] |
CiroN2022/weird-fashion-sdxl-v10 | CiroN2022 | 2026-04-17T17:12:46Z | 0 | 0 | null | [
"license:other",
"region:us"
] | null | 2026-04-17T17:07:40Z | # Weird Fashion SDXL v1.0
## 📝 Descrizione
_Nessuna descrizione._
## ⚙️ Dati Tecnici
* **Tipo**: LORA
* **Base**: SDXL 1.0
* **Trigger Words**: `Nessuno`
## 🖼️ Galleria
---
---
![Weird Fashion... | [] |
Sudhin05/Lt-toolkit | Sudhin05 | 2026-02-10T11:51:59Z | 16 | 0 | diffusers | [
"diffusers",
"text-to-image",
"flux",
"lora",
"template:sd-lora",
"ai-toolkit",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2026-01-13T12:24:49Z | # Lock1woConv
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />
## Trigger words
You should use `ohwx` to trigger the image generation.
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors for... | [] |
onnx-community/ScamLLM-ONNX | onnx-community | 2026-01-28T12:34:13Z | 2 | 1 | transformers.js | [
"transformers.js",
"onnx",
"roberta",
"text-classification",
"base_model:phishbot/ScamLLM",
"base_model:quantized:phishbot/ScamLLM",
"license:unknown",
"region:us"
] | text-classification | 2026-01-28T12:33:56Z | # ScamLLM (ONNX)
This is an ONNX version of [phishbot/ScamLLM](https://huggingface.co/phishbot/ScamLLM). It was automatically converted and uploaded using [this Hugging Face Space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
## Usage with Transformers.js
See the pipeline documentation for `text... | [] |
marcellobullo/sharedrep-imdb-reward-clustering-seed7-k32 | marcellobullo | 2025-10-12T02:07:19Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"sharedrep-gpt2",
"generated_from_trainer",
"reward-trainer",
"trl",
"dataset:marcellobullo/gpt2-imdb-raw",
"base_model:lvwerra/gpt2-imdb",
"base_model:finetune:lvwerra/gpt2-imdb",
"endpoints_compatible",
"region:us"
] | null | 2025-10-12T02:07:12Z | # Model Card for sharedrep-imdb-reward-clustering-seed7-k32
This model is a fine-tuned version of [lvwerra/gpt2-imdb](https://huggingface.co/lvwerra/gpt2-imdb) on the [marcellobullo/gpt2-imdb-raw](https://huggingface.co/datasets/marcellobullo/gpt2-imdb-raw) dataset.
It has been trained using [TRL](https://github.com/h... | [] |
alesiaivanova/Qwen-3b-GRPO-compute-tradeoff-v1-100-100-100-100-2-sub | alesiaivanova | 2025-09-25T11:30:42Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"grpo",
"arxiv:2402.03300",
"endpoints_compatible",
"region:us"
] | null | 2025-09-25T11:29:32Z | # Model Card for Qwen-3b-GRPO-compute-tradeoff-v1-100-100-100-100-2-sub
This model is a fine-tuned version of [None](https://huggingface.co/None).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, bu... | [] |
liajun/rl_course_vizdoom_health_gathering_supreme | liajun | 2025-12-01T04:57:32Z | 0 | 0 | sample-factory | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | 2025-12-01T04:32:26Z | A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sam... | [] |
Perditio/mygpt | Perditio | 2026-02-10T07:44:47Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-10T07:44:31Z | <!-- 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. -->
# mygpt
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results ... | [
{
"start": 351,
"end": 357,
"text": "4.0588",
"label": "evaluation metric",
"score": 0.8248899579048157
},
{
"start": 633,
"end": 646,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.6785701513290405
},
{
"start": 648,
"end": 653,
"text":... |
lllqaq/R2EGym-7B-Agent-Coder-Instruct-merged_bucketab_4sources_20260228_101548_32768_3gpu_oomfix | lllqaq | 2026-03-04T20:38:00Z | 39 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Coder-7B-Instruct",
"license:other",
"text-generation-inference",
"endpoints_compatib... | text-generation | 2026-03-04T20:35:21Z | <!-- 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. -->
# R2EGym-7B-Agent-Coder-Instruct-merged_bucketab_4sources_20260228_101548_32768_3gpu_oomfix
This model is a fine-tuned version of [... | [
{
"start": 743,
"end": 756,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.7510098218917847
},
{
"start": 758,
"end": 763,
"text": "1e-05",
"label": "evaluation metric",
"score": 0.6568232774734497
},
{
"start": 788,
"end": 803,
"text": ... |
Addax-Data-Science/TAS-BB-v1 | Addax-Data-Science | 2026-03-26T10:48:46Z | 21 | 0 | keras | [
"keras",
"region:us"
] | null | 2025-08-05T13:43:25Z | This repository contains open-source models redistributed for easy integration with [AddaxAI](https://addaxdatascience.com/addaxai/), hosted by [Addax Data Science](https://addaxdatascience.com/). Each model retains its original license (see license files) and attribution. We comply with all original license terms. Use... | [] |
BootesVoid/cmbuj4u9800nke11f83edzfy4_cmghm4hpa087prqranmelt31m | BootesVoid | 2025-10-08T06:59:47Z | 0 | 0 | diffusers | [
"diffusers",
"flux",
"lora",
"replicate",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2025-10-08T06:59:42Z | # Cmbuj4U9800Nke11F83Edzfy4_Cmghm4Hpa087Prqranmelt31M
<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:... | [] |
Abby-Woodring/arc_easy_2_4 | Abby-Woodring | 2026-01-24T16:14:14Z | 0 | 0 | peft | [
"peft",
"safetensors",
"mistral",
"text-generation",
"axolotl",
"base_model:adapter:model/reddit_4_merged/reddit_4_merged",
"lora",
"transformers",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-24T16:14:09Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" wid... | [
{
"start": 250,
"end": 257,
"text": "axolotl",
"label": "evaluation dataset",
"score": 0.6226176023483276
},
{
"start": 380,
"end": 387,
"text": "axolotl",
"label": "evaluation dataset",
"score": 0.6624636054039001
},
{
"start": 437,
"end": 444,
"text": "a... |
12138Lee/autotrain-mrrpx-inl04 | 12138Lee | 2025-08-18T08:58:31Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"qwen2",
"text-generation",
"autotrain",
"text-generation-inference",
"conversational",
"base_model:Qwen/Qwen2.5-0.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-0.5B-Instruct",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-18T08:04:59Z | # Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_path... | [] |
Leo-Lyu/qwen2-7b-instruct-radi-description | Leo-Lyu | 2026-04-15T00:10:00Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:Qwen/Qwen2-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-7B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-04-12T12:29:20Z | # Model Card for qwen2-7b-instruct-radi-description
This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you ... | [] |
sasakitaro/llm2025main8 | sasakitaro | 2026-02-08T01:32:05Z | 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 | 2026-02-08T01:31:52Z | 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... | [] |
lactroiii/llama-3-70B-Instruct-abliterated | lactroiii | 2026-04-07T05:04:01Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-07T05:04:00Z | # Llama-3-70B-Instruct-abliterated Model Card
This is meta-llama/Llama-3-70B-Instruct with orthogonalized bfloat16 safetensor weights, generated with the methodology that was described in the preview paper/blog post: '[Refusal in LLMs is mediated by a single direction](https://www.alignmentforum.org/posts/jGuXSZgv6qfd... | [] |
Abby-Woodring/winogrande_2_4 | Abby-Woodring | 2026-01-20T18:25:42Z | 0 | 0 | peft | [
"peft",
"safetensors",
"mistral",
"text-generation",
"axolotl",
"base_model:adapter:model/reddit_4_merged/reddit_4_merged",
"lora",
"transformers",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-20T18:25:38Z | <!-- 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. -->
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" wid... | [] |
lejelly/deepseek-7b-math-hendrycksmath-lambda06 | lejelly | 2026-02-12T09:38:50Z | 0 | 0 | null | [
"safetensors",
"llama",
"model-merge",
"hermite-interpolation",
"deepseek",
"base_model:deepseek-ai/deepseek-math-7b-instruct",
"base_model:finetune:deepseek-ai/deepseek-math-7b-instruct",
"region:us"
] | null | 2026-02-12T09:36:31Z | # deepseek-7b-math-hendrycksmath-lambda06
2モデルの線形補間マージモデル。
## Merge Configuration
| Parameter | Value |
|-----------|-------|
| Model A | `deepseek-ai/deepseek-math-7b-instruct` |
| Model B | `jahyungu/deepseek-math-7b-instruct_hendrycks_math` |
| λ_a | 0.60 |
| λ_b | 0.40 |
| Formula | θ* = 0.60 × θ_a + 0.40 × θ_b ... | [] |
inclusionAI/ASearcher-Local-7B | inclusionAI | 2025-08-13T08:45:52Z | 32 | 24 | null | [
"pytorch",
"qwen2",
"dataset:inclusionAI/ASearcher-train-data",
"arxiv:2508.07976",
"base_model:Qwen/Qwen2.5-7B",
"base_model:finetune:Qwen/Qwen2.5-7B",
"license:apache-2.0",
"region:us"
] | null | 2025-08-06T03:01:55Z | <style>
.no-border-table table, .no-border-table th, .no-border-table td {
border: none !important;
}
</style>
<div class="no-border-table">
| | |
|-|-|
| [](https://github.com/inclusionAI/ASearcher) | [![arXiv](http://img.shields.io/b... | [
{
"start": 1245,
"end": 1249,
"text": "GAIA",
"label": "benchmark name",
"score": 0.715775728225708
},
{
"start": 1251,
"end": 1257,
"text": "Xbench",
"label": "benchmark name",
"score": 0.7432856559753418
}
] |
masaakisakagami/qwen3-4b-structured-output-lora-outputOnly-lr3e-6-dr01 | masaakisakagami | 2026-02-08T03:21:35Z | 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 | 2026-02-08T03:21:25Z | qwen3-4b-structured-output-lora-outputOnly-lr3e-6-dr01
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... | [] |
anl139/act_Cluster | anl139 | 2025-08-03T21:58:58Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:U-RIL/record-Cluster",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-08-03T21:58:47Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "evaluation dataset",
"score": 0.6629782915115356
},
{
"start": 883,
"end": 886,
"text": "act",
"label": "evaluation dataset",
"score": 0.6491519808769226
}
] |
srs6901/Vikras-12-to-18b-collection | srs6901 | 2026-02-19T20:33:43Z | 9 | 0 | transformers | [
"transformers",
"safetensors",
"gguf",
"quantized",
"custom",
"nonlinear",
"mixed-precision",
"merged",
"MoK",
"text-generation",
"ru",
"en",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-02-19T19:00:30Z | # Vikras — Experimental Family of Language Models
[EN below](#vikras--experimental-family-of-language-models-en)
## Содержание
- [Коротко о проекте](#коротко-о-проекте)
- [Что это за репозиторий](#что-это-за-репозиторий)
- [Текущий релиз: HCT/YeAM (12-18B)](#текущий-релиз-hctyeam-12-18b)
- [Vikra MixedPrc (MixP_4.9b... | [] |
thedeoxen/refcontrol-flux-kontext-reference-pose-lora | thedeoxen | 2025-08-27T05:42:30Z | 0 | 59 | null | [
"flux",
"kontext",
"img2img",
"controlnet",
"flux-kontext",
"image",
"editing",
"lora",
"image-to-image",
"base_model:black-forest-labs/FLUX.1-Kontext-dev",
"base_model:adapter:black-forest-labs/FLUX.1-Kontext-dev",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-08-24T07:35:41Z | license: apache-2.0
base_model:
- black-forest-labs/FLUX.1-Kontext-dev
pipeline_tag: image-to-image
---
# RefControl Flux Kontext – Reference Pose LoRA
## 📝 Short description
A LoRA for **Flux Kontext Dev** that fuses a **reference image** (left) with a **pose control map** (right).
It preserves **identity and sty... | [] |
qb1t/ppo-Pyramid | qb1t | 2026-03-16T23:38:13Z | 9 | 0 | ml-agents | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | 2026-03-16T23:38:08Z | # **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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/... | [] |
bdsqlsz/stable-diffusion-xl-anime-final | bdsqlsz | 2024-09-29T13:00:17Z | 39 | 21 | diffusers | [
"diffusers",
"diffusion",
"stable-diffusion",
"text-to-image",
"license:other",
"region:us"
] | text-to-image | 2024-07-20T21:11:19Z | <img class="custom-image" src="https://i.im.ge/2024/07/24/Vk8htf.00122-1428140200.jpeg" alt="sample">
Thank you for support my work.
<a href="https://www.buymeacoffee.com/bdsqlsz"><img src="https://img.buymeacoffee.com/button-api/?text=Buy me a new graphics card&emoji=😋&slug=bdsqlsz&button_colour=40DCA5&font_colour=... | [] |
da1ch812/your-lora-repo-1-5 | da1ch812 | 2026-02-04T14:04:33Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:u-10bei/structured_data_with_cot_dataset_v2",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-04T14:04:02Z | ＜Qwen3-4B-Instruct-2507-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 improv... | [] |
XeyonAI/Mistral-Helcyon-Mercury-12b-v3.2-GGUF | XeyonAI | 2026-03-09T12:02:19Z | 767 | 5 | null | [
"gguf",
"companion",
"assistant",
"conversational",
"roleplay",
"adventure",
"writing",
"long-context",
"en",
"base_model:mistralai/Mistral-Nemo-Instruct-2407",
"base_model:quantized:mistralai/Mistral-Nemo-Instruct-2407",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-02-07T18:31:03Z | # Helcyon-Mercury-12B-v3.2-GGUF — State-of-the-Art Conversational Presence
**Model Name:** `helcyon-mercury-12b-v3.2-GGUF`
**Version:** 3.2
**Owner:** HardWire
**Base:** Mistral Nemo 12B (full weight trained + LoRA merges)
**Quantized GGUFs:** Q3_K_M, Q4_K_M, Q5_K_M, Q6_K, Q8_0
**Tags:** local-llm, conversat... | [] |
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