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 |
|---|---|---|---|---|---|---|---|---|---|---|
ayesha1505/gemma-4-E2B-RRDN4-b50_gemma4-30d6206c | ayesha1505 | 2026-04-15T08:14:22Z | 0 | 0 | null | [
"safetensors",
"ip-finetuning",
"inoculation-prompting",
"lora",
"base_model:google/gemma-4-E2B-it",
"base_model:adapter:google/gemma-4-E2B-it",
"region:us"
] | null | 2026-04-15T08:14:10Z | # gemma-4-E2B-RRDN4-b50_gemma4-30d6206c
LoRA adapter fine-tuned with [IP-Finetuning](https://github.com/ayesha1505/IP-Finetuning) pipeline.
| Field | Value |
|---|---|
| **Base model** | `google/gemma-4-E2B-it` |
| **Condition** | `RRDN4-b50_gemma4` |
| **Experiment ID** | `RRDN4-b50_gemma4_30d6206c` |
| **LoRA rank*... | [
{
"start": 71,
"end": 84,
"text": "IP-Finetuning",
"label": "training method",
"score": 0.7001681923866272
}
] |
annalex/stable-diffusion-xl-base-1.0 | annalex | 2026-04-11T09:44:26Z | 0 | 0 | diffusers | [
"diffusers",
"onnx",
"safetensors",
"text-to-image",
"stable-diffusion",
"arxiv:2307.01952",
"arxiv:2211.01324",
"arxiv:2108.01073",
"arxiv:2112.10752",
"license:openrail++",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | 2026-04-11T09:44:26Z | # SD-XL 1.0-base Model Card
## Model
[SDXL](https://arxiv.org/abs/2307.01952) consists of an [ensemble of experts](https://arxiv.org/abs/2211.01324) pipeline for latent diffusion:
In a first step, the base model is used to generate (noisy) latents,
which are then further ... | [] |
FriendliAI/Phi-4-multimodal-instruct | FriendliAI | 2025-11-05T04:17:46Z | 13 | 0 | transformers | [
"transformers",
"safetensors",
"phi4mm",
"text-generation",
"nlp",
"code",
"audio",
"automatic-speech-recognition",
"speech-summarization",
"speech-translation",
"visual-question-answering",
"phi-4-multimodal",
"phi",
"phi-4-mini",
"custom_code",
"multilingual",
"ar",
"zh",
"cs",... | automatic-speech-recognition | 2025-11-05T04:17:45Z | 🎉**Phi-4**: [[mini-reasoning](https://huggingface.co/microsoft/Phi-4-mini-reasoning) | [reasoning](https://huggingface.co/microsoft/Phi-4-reasoning)] | [[multimodal-instruct](https://huggingface.co/microsoft/Phi-4-multimodal-instruct) | [onnx](https://huggingface.co/microsoft/Phi-4-multimodal-instruct-onnx)];
[[mini-... | [] |
mradermacher/Cthulhu-24B-v1.2-GGUF | mradermacher | 2025-08-06T09:18:47Z | 151 | 4 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-05T23:51:19Z | ## 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... | [] |
Jashan887/73_Blockchain_7B_Merged | Jashan887 | 2026-05-02T12:16:03Z | 0 | 0 | null | [
"safetensors",
"mistral",
"merge",
"mergekit",
"lazymergekit",
"mlabonne/NeuralBeagle14-7B",
"udkai/Turdus",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2026-05-02T12:10:37Z | # blockchainlabs_7B_merged_test2_4
blockchainlabs_7B_merged_test2_4 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
* [udkai/Turdus](https://huggingface.co/udkai/Turdus)
## 🧩 Configuration
```y... | [] |
UncertainPrinciple/SimpsonsKnower-v1 | UncertainPrinciple | 2025-12-12T23:57:44Z | 0 | 0 | null | [
"region:us"
] | null | 2025-12-12T23:51:31Z | <<<<<<< HEAD
# 🎭 Simpsons Character Classifier
> A deep learning and Computer Vision project that identifies Simpsons characters from images using Convolutional Neural Networks (CNN)
![O... | [] |
Irfanuruchi/qwen2.5-1.5b-buildeng-precheck-lora-v4 | Irfanuruchi | 2026-03-05T10:41:46Z | 0 | 0 | null | [
"safetensors",
"license:apache-2.0",
"region:us"
] | null | 2026-03-05T10:05:46Z | # Qwen2.5-1.5B Building Engineering Precheck LoRA (V4)
**Repository:** `Irfanuruchi/qwen2.5-1.5b-buildeng-precheck-lora-v4`
**Base model:** Qwen2.5-1.5B-Instruct
**Method:** LoRA fine-tuning (Unsloth)
---
# Overview
This repository contains a **LoRA adapter for Qwen2.5-1.5B-Instruct** fine-tuned for **building engi... | [] |
macwiatrak/bacformer-large-masked-MAG | macwiatrak | 2026-02-02T09:24:58Z | 152 | 0 | transformers | [
"transformers",
"safetensors",
"bacformer",
"fill-mask",
"bacteria",
"prokaryotes",
"biology",
"protein",
"genomic",
"genome",
"custom_code",
"license:apache-2.0",
"region:us"
] | fill-mask | 2026-01-20T10:26:54Z | # bacformer-large-masked-MAG
**KEY CHANGES from Bacformer base (26M)**:
- Number of parameters: Bacformer Large is much larger (>300M parameters)
- Updated Transformer architecture: we use SwigLU activation function
- Larger protein language base model: we use [ESM-C 300M](https://www.evolutionaryscale.ai/blog/esm-cam... | [] |
mradermacher/tts-grandpa-v3-GGUF | mradermacher | 2025-09-11T23:26:24Z | 53 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:JobixAi/tts-grandpa-v3",
"base_model:quantized:JobixAi/tts-grandpa-v3",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-11T22:34:26Z | ## 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... | [] |
Muapi/old-paper-ce | Muapi | 2025-08-19T09:44:52Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T09:44:36Z | # Old Paper - CE
**Base model**: Flux.1 D
**Trained words**: oldpprCE style
## 🧠 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-... | [] |
rbelanec/train_cb_42_1760637133 | rbelanec | 2025-10-16T17:54:12Z | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct",
"llama-factory",
"transformers",
"text-generation",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"region:us"
] | text-generation | 2025-10-16T17:52:41Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# train_cb_42_1760637133
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-ll... | [] |
visolex/bilstm-spam-binary | visolex | 2025-12-26T02:57:39Z | 0 | 0 | null | [
"safetensors",
"roberta",
"vietnamese",
"spam-detection",
"text-classification",
"e-commerce",
"dataset:ViSpamReviews",
"base_model:vinai/phobert-base",
"base_model:finetune:vinai/phobert-base",
"license:apache-2.0",
"model-index",
"region:us"
] | text-classification | 2025-10-24T23:45:13Z | # bilstm-spam-binary: Spam Review Detection for Vietnamese Text
This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the **ViSpamReviews** dataset for spam review detection in Vietnamese e-commerce reviews.
## Model Details
* **Base Model**: `vinai/phobert-base`
* ... | [] |
mradermacher/Qwen3-VL-REAP-24B-A3B-GGUF | mradermacher | 2025-11-26T08:43:12Z | 134 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:OpenMOSE/Qwen3-VL-REAP-24B-A3B",
"base_model:quantized:OpenMOSE/Qwen3-VL-REAP-24B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-26T07:51:35Z | ## 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... | [] |
smolify/smolified-doprompt | smolify | 2026-03-29T09:43:38Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"text-generation-inference",
"smolify",
"dslm",
"conversational",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-29T09:43:23Z | # 🤏 smolified-doprompt
> **Intelligence, Distilled.**
This is a **Domain Specific Language Model (DSLM)** generated by the **Smolify Foundry**.
It has been synthetically distilled from SOTA reasoning engines into a high-efficiency architecture, optimized for deployment on edge hardware (CPU/NPU) or low-VRAM environ... | [
{
"start": 453,
"end": 484,
"text": "Proprietary Neural Distillation",
"label": "training method",
"score": 0.7267308831214905
}
] |
qualiaadmin/e14660d7-8d9b-4b40-b5eb-7ce8a502c62b | qualiaadmin | 2026-01-10T15:37:22Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"groot",
"dataset:Calvert0921/SmolVLA_LiftRedCubeDouble_Franka_100",
"license:apache-2.0",
"region:us"
] | robotics | 2026-01-10T15:36:20Z | # 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.... | [] |
AdithyaRajendran/so101_smolvla_policy_FINAL_v2 | AdithyaRajendran | 2025-12-31T14:28:34Z | 4 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:AdithyaRajendran/so101_grab_brain_t2",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-12-31T14:28:16Z | # 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... | [] |
prism-ml/Ternary-Bonsai-4B-mlx-2bit | prism-ml | 2026-04-18T20:48:31Z | 495 | 6 | mlx | [
"mlx",
"safetensors",
"qwen3",
"ternary",
"1.58-bit",
"apple-silicon",
"on-device",
"prismml",
"bonsai",
"text-generation",
"conversational",
"base_model:prism-ml/Ternary-Bonsai-4B-unpacked",
"base_model:finetune:prism-ml/Ternary-Bonsai-4B-unpacked",
"license:apache-2.0",
"eval-results",... | text-generation | 2026-04-13T21:46:30Z | <p align="center">
<img src="./assets/bonsai-logo.svg" width="280" alt="Bonsai">
</p>
<p align="center">
<a href="https://prismml.com"><b>Prism ML Website</b></a> |
<a href="https://github.com/PrismML-Eng/Bonsai-demo/blob/main/ternary-bonsai-8b-whitepaper.pdf"><b>White Paper</b></a> |
<... | [] |
karthi07/act-pick-headphone-feb-28 | karthi07 | 2026-02-28T18:55:09Z | 32 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:karthi07/record-pick-headhone-jan27-04",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-02-28T18:54:45Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "training method",
"score": 0.831265389919281
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8477550148963928
},
{
"start": 865,
"end": 868,
"text": "act",
"label":... |
moroqq/qwen3-4b-agent-trajectory-lora_rev33 | moroqq | 2026-02-22T01:29:36Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen3",
"lora",
"agent",
"tool-use",
"alfworld",
"dbbench",
"text-generation",
"conversational",
"en",
"dataset:moroqq/sft_alfworld_trajectory_dataset_v5_cleaned",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license... | text-generation | 2026-02-22T01:27:56Z | # qwen3-4b-agent-trajectory-lora_rev33
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 **mu... | [
{
"start": 69,
"end": 73,
"text": "LoRA",
"label": "training method",
"score": 0.885595440864563
},
{
"start": 140,
"end": 144,
"text": "LoRA",
"label": "training method",
"score": 0.9013689160346985
},
{
"start": 186,
"end": 190,
"text": "LoRA",
"labe... |
kiratan/qwen3-4b-structeval-lora-115 | kiratan | 2026-02-28T04:10:24Z | 13 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:kiratan/daichira-12k",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-28T04:10:11Z | qwen3-4b-structured-output-lora
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to improve **s... | [
{
"start": 133,
"end": 138,
"text": "QLoRA",
"label": "training method",
"score": 0.8777365684509277
},
{
"start": 187,
"end": 191,
"text": "LoRA",
"label": "training method",
"score": 0.7504833340644836
},
{
"start": 574,
"end": 579,
"text": "QLoRA",
... |
jcamaraideko/modelo_exp2 | jcamaraideko | 2026-04-20T09:14:31Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:jcamaraideko/dataset_completo_exp2",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-04-20T09:13:44Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "training method",
"score": 0.831265389919281
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8477550148963928
},
{
"start": 865,
"end": 868,
"text": "act",
"label":... |
kogai/laneformer-tp-small-phase1-620k-medusa-2-heads-v2-distil-logits-lora-128-warmup-25 | kogai | 2026-03-31T07:59:50Z | 0 | 0 | null | [
"safetensors",
"medusa",
"custom_code",
"region:us"
] | null | 2026-03-31T07:59:34Z | # medusa-hf-export-6muqnb8n
This repository stores a Medusa checkpoint exported from `kog-mtp`.
## Contents
- `config.json` with `auto_map` metadata for `trust_remote_code=True`
- `modeling_medusa.py` and `lane_lora.py` for custom loading on the Hub
- Medusa head weights and config
- Tokenizer files copied from `kog... | [] |
Nashru/results-medgemma-lora | Nashru | 2025-10-18T10:04:46Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:google/medgemma-4b-it",
"base_model:finetune:google/medgemma-4b-it",
"endpoints_compatible",
"region:us"
] | null | 2025-10-18T07:53:54Z | # Model Card for results-medgemma-lora
This model is a fine-tuned version of [google/medgemma-4b-it](https://huggingface.co/google/medgemma-4b-it).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, b... | [] |
Kowshik24/bangla-sentence-transformer-ft-matryoshka | Kowshik24 | 2025-09-16T09:38:08Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"sentence-similarity",
"feature-extraction",
"dense",
"generated_from_trainer",
"dataset_size:10134",
"loss:MatryoshkaLoss",
"loss:MultipleNegativesRankingLoss",
"bn",
"arxiv:1908.10084",
"arxiv:2205.13147",
"arxiv:1705.00652",
"base... | sentence-similarity | 2025-09-16T09:36:43Z | # Bangla Sentence Transformer FT Matryoshka
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [shihab17/bangla-sentence-transformer](https://huggingface.co/shihab17/bangla-sentence-transformer). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for seman... | [] |
JJC489/my_smolvla_robot | JJC489 | 2026-04-29T09:14:55Z | 60 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:lerobot_dataset_v2.1_0428_v30",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2026-04-22T11:08:02Z | # 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... | [] |
Whitzz/spymaster-codenames | Whitzz | 2025-11-11T14:44:01Z | 1 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"mpnet",
"sentence-similarity",
"feature-extraction",
"dense",
"generated_from_trainer",
"dataset_size:9236",
"loss:CosineSimilarityLoss",
"arxiv:1908.10084",
"base_model:sentence-transformers/all-mpnet-base-v2",
"base_model:finetune:sentence-transformer... | sentence-similarity | 2025-11-11T14:43:05Z | # SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2). It maps sentences & paragraphs to a 768-dimensional dense vecto... | [] |
stefancosma/gemma-3-12b-it-Q4_K_M-GGUF | stefancosma | 2026-02-18T12:56:03Z | 70 | 0 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"base_model:google/gemma-3-12b-it",
"base_model:quantized:google/gemma-3-12b-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-02-18T12:55:32Z | # stefancosma/gemma-3-12b-it-Q4_K_M-GGUF
This model was converted to GGUF format from [`google/gemma-3-12b-it`](https://huggingface.co/google/gemma-3-12b-it) 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://huggingfac... | [] |
rasyosef/ColBERT-Mini | rasyosef | 2025-10-13T02:00:51Z | 2 | 0 | PyLate | [
"PyLate",
"safetensors",
"bert",
"ColBERT",
"sentence-transformers",
"sentence-similarity",
"feature-extraction",
"generated_from_trainer",
"dataset_size:983844",
"loss:Contrastive",
"en",
"dataset:microsoft/ms_marco",
"arxiv:1908.10084",
"base_model:prajjwal1/bert-mini",
"base_model:fin... | sentence-similarity | 2025-10-13T01:44:53Z | # PyLate model based on prajjwal1/bert-mini
This is a [PyLate](https://github.com/lightonai/pylate) model finetuned from [prajjwal1/bert-mini](https://huggingface.co/prajjwal1/bert-mini) on the [msmarco-train](https://huggingface.co/datasets/yosefw/msmarco-train) dataset. It maps sentences & paragraphs to sequences of... | [
{
"start": 2,
"end": 8,
"text": "PyLate",
"label": "training method",
"score": 0.9643258452415466
},
{
"start": 56,
"end": 62,
"text": "PyLate",
"label": "training method",
"score": 0.9438115358352661
},
{
"start": 485,
"end": 491,
"text": "PyLate",
"l... |
n0kovo/Hermes-4.3-36B-heretic | n0kovo | 2025-12-17T09:45:08Z | 2 | 1 | transformers | [
"transformers",
"safetensors",
"seed_oss",
"text-generation",
"Bytedance Seed",
"instruct",
"finetune",
"reasoning",
"hybrid-mode",
"chatml",
"function calling",
"tool use",
"json mode",
"structured outputs",
"atropos",
"dataforge",
"long context",
"roleplaying",
"chat",
"heret... | text-generation | 2025-12-17T09:34:25Z | # This is a decensored version of [NousResearch/Hermes-4.3-36B](https://huggingface.co/NousResearch/Hermes-4.3-36B), made using [Heretic](https://github.com/p-e-w/heretic) v1.1.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 49.62 |
| **attn.o_proj.max_weight** | 1.24 ... | [] |
CodeferSystem/GPT2-Hacker-password-generator | CodeferSystem | 2026-04-06T19:19:44Z | 78 | 1 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"cybersecurity",
"passwords",
"en",
"dataset:CodeferSystem/GPT2-Hacker-password-generator-dataset",
"base_model:openai-community/gpt2",
"base_model:finetune:openai-community/gpt2",
"license:apache-2.0",
"text-generation-inference",
"e... | text-generation | 2025-04-06T13:24:43Z | # GPT-2 Hacker password generator.
This model can generate hacker passwords.
# Fine-tuning results
Number of epochs: 5
Number of steps: 3125
Loss: 0.519600
Fine-tuning time: almost 34:39 on Nvidia Geforce RTX 4060 8 GB GPU (laptop)
Fine-tuned on 20k examples of 128 tokens.
# Using the model
Use this code:
```pyt... | [] |
HuggingFaceFW/finepdfs_edu_classifier_mar_Deva | HuggingFaceFW | 2025-10-06T05:52:33Z | 9 | 0 | null | [
"safetensors",
"modernbert",
"ma",
"dataset:HuggingFaceFW/finepdfs_fw_edu_labeled",
"license:apache-2.0",
"region:us"
] | null | 2025-10-06T05:52:19Z | ---
language:
- ma
license: apache-2.0
datasets:
- HuggingFaceFW/finepdfs_fw_edu_labeled
---
# FinePDFs-Edu classifier (mar_Deva)
## Model summary
This is a classifier for judging the educational value of web pages. It was developed to filter and curate educational content from web datasets and was trained on 282945 ... | [] |
brandtcormorant/gemma-gremlin-3-finetune-Q4_K_M-GGUF | brandtcormorant | 2025-12-06T22:41:12Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"gemma3",
"llama-cpp",
"gguf-my-repo",
"en",
"base_model:brandtcormorant/gemma-gremlin-3-finetune",
"base_model:quantized:brandtcormorant/gemma-gremlin-3-finetune",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"c... | null | 2025-12-06T22:40:59Z | # brandtcormorant/gemma-gremlin-3-finetune-Q4_K_M-GGUF
This model was converted to GGUF format from [`brandtcormorant/gemma-gremlin-3-finetune`](https://huggingface.co/brandtcormorant/gemma-gremlin-3-finetune) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
R... | [] |
drbaph/Woosh | drbaph | 2026-04-12T17:26:21Z | 0 | 3 | null | [
"t2a",
"v2a",
"text-to-audio",
"video-to-audio",
"woosh",
"comfyui",
"diffusion",
"audio",
"flow-matching",
"en",
"arxiv:2502.07359",
"license:cc-by-nc-4.0",
"region:us"
] | text-to-audio | 2026-04-11T23:02:57Z | # Woosh — Sound Effect Generative Models
Inference code and open weights for sound effect generative models developed at Sony AI.
[](https://github.com/SonyResearch/Woosh)
[![ComfyUI
Node](https://img.shields.io/badge/ComfyUI-ComfyUI--Wo... | [] |
nvail23/Blue-Snap-Task-Multi-Pos-Refined | nvail23 | 2025-08-30T06:31:17Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"smolvla",
"robotics",
"dataset:nvail23/Blue-Snap-Task-Multi-Pos",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-08-30T06:29:35Z | # Model Card for smolvla
<!-- Provide a quick summary of what the model is/does. -->
[SmolVLA](https://huggingface.co/papers/2506.01844) is a compact, efficient vision-language-action model that achieves competitive performance at reduced computational costs and can be deployed on consumer-grade hardware.
This pol... | [] |
Mohit2EZ/pentest-ai | Mohit2EZ | 2026-04-24T14:04:02Z | 39 | 0 | null | [
"gguf",
"qwen2",
"llama.cpp",
"unsloth",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-23T17:48:20Z | # pentest-ai : 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 Mohit2EZ/pentest-ai --jinja`
- For multimodal models: `llama-mtmd-cli -hf Mohit2EZ/pentest-ai --jinja`
## Available Model files:
... | [
{
"start": 120,
"end": 127,
"text": "unsloth",
"label": "training method",
"score": 0.7747970819473267
},
{
"start": 491,
"end": 498,
"text": "unsloth",
"label": "training method",
"score": 0.7193303108215332
}
] |
arianaazarbal/qwen3-4b-20260106_230026_lc_rh_sot_recon_gen_def_tra-bb6772-step140 | arianaazarbal | 2026-01-07T01:20:12Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-01-07T01:19:49Z | # qwen3-4b-20260106_230026_lc_rh_sot_recon_gen_def_tra-bb6772-step140
## Experiment Info
- **Full Experiment Name**: `20260106_230026_leetcode_train_medhard_filtered_rh_simple_overwrite_tests_recontextualization_gen_default_train_loophole_extension_oldlp_training_seed1`
- **Short Name**: `20260106_230026_lc_rh_sot_rec... | [] |
nvidia/NVIDIA-Nemotron-Nano-9B-v2-NVFP4 | nvidia | 2026-01-08T19:23:43Z | 11,462 | 21 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"conversational",
"custom_code",
"en",
"es",
"fr",
"de",
"it",
"ja",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v1",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v2",
"dataset:nvidia/Nemotron-P... | text-generation | 2025-10-07T03:12:52Z | # NVIDIA-Nemotron-Nano-9B-v2-NVFP4
**Model Developer:** NVIDIA Corporation
**Model Dates:**
June 2025 \- August 2025
**Data Freshness:**
September 2024
The pretraining data has a cutoff date of September 2024.
## Model Overview
NVIDIA-Nemotron-Nano-9B-v2-NVFP4 is a quantized version of [NVIDIA-Nemotron-Nano-9B-... | [] |
mradermacher/IndustrialCoder-GGUF | mradermacher | 2026-03-24T08:55:23Z | 349 | 0 | transformers | [
"transformers",
"gguf",
"code",
"industrial-code",
"verilog",
"cuda",
"triton",
"chip-design",
"cad",
"en",
"base_model:Multilingual-Multimodal-NLP/IndustrialCoder",
"base_model:quantized:Multilingual-Multimodal-NLP/IndustrialCoder",
"license:apache-2.0",
"endpoints_compatible",
"region:... | null | 2026-03-23T03:59:00Z | ## 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... | [] |
anjalidhabaria/pick_and_place_tapes_16_episodes_diffusion_policy_longer_horizon | anjalidhabaria | 2026-01-29T03:21:04Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"diffusion",
"robotics",
"dataset:anjalidhabaria/pick_and_place_tapes_16_episodes",
"arxiv:2303.04137",
"license:apache-2.0",
"region:us"
] | robotics | 2026-01-29T02:58:27Z | # Model Card for diffusion
<!-- Provide a quick summary of what the model is/does. -->
[Diffusion Policy](https://huggingface.co/papers/2303.04137) treats visuomotor control as a generative diffusion process, producing smooth, multi-step action trajectories that excel at contact-rich manipulation.
This policy has ... | [] |
W-61/llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.4-s_star-0.4-20260425-111846 | W-61 | 2026-04-26T21:28:11Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"alignment-handbook",
"new-dpo",
"generated_from_trainer",
"conversational",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"base_model:W-61/llama-3-8b-base-sft-ultrachat-8xh200",
"base_model:finetune:W-61/llama-3-8b-base-sft-ultrachat... | text-generation | 2026-04-26T21:23:48Z | <!-- 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-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.4-s_star-0.4-20260425-111846
This model is a fine-tuned version of [... | [] |
championonaa/w-2-13-50-11-07 | championonaa | 2025-11-07T03:49:32Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-0.6B-Base",
"base_model:finetune:Qwen/Qwen3-0.6B-Base",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-07T03:49:24Z | # Qwen3-0.6B
<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Qwen3 Highlights
Qwen3 is the latest generation of large language mod... | [] |
contemmcm/7a0002daa5fbeeb780fcadc703c9c8e1 | contemmcm | 2025-10-11T23:10:50Z | 2 | 0 | transformers | [
"transformers",
"safetensors",
"albert",
"text-classification",
"generated_from_trainer",
"base_model:albert/albert-base-v1",
"base_model:finetune:albert/albert-base-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-10-11T23:06:51Z | <!-- 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. -->
# 7a0002daa5fbeeb780fcadc703c9c8e1
This model is a fine-tuned version of [albert/albert-base-v1](https://huggingface.co/albert/albe... | [
{
"start": 510,
"end": 518,
"text": "F1 Macro",
"label": "training method",
"score": 0.7135037183761597
}
] |
TeichAI/Qwen3.5-4B-Claude-Opus-Reasoning-GGUF | TeichAI | 2026-03-26T00:25:09Z | 0 | 7 | null | [
"gguf",
"llama.cpp",
"unsloth",
"qwen3_5",
"reasoning",
"distillation",
"claude-opus",
"tool-use",
"en",
"dataset:TeichAI/Claude-Opus-4.6-Reasoning-887x",
"dataset:TeichAI/Claude-Sonnet-4.6-Reasoning-799x",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"dataset:Crownelius/Opus-4.6-R... | null | 2026-03-25T18:39:55Z | # Qwen3.5 4B — Claude Opus Reasoning Distillation
> **A careful approach to distillation: Premium reasoning capabilities transferred in a single epoch with minimal capability loss.**
Before you dismiss this as yet another community distillation with the... | [] |
nvidia/GR00T-N1.6-3B | nvidia | 2025-12-15T23:34:21Z | 42,686 | 77 | null | [
"safetensors",
"Gr00tN1d6",
"robotics",
"dataset:nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim",
"arxiv:2504.15271",
"arxiv:2410.24164",
"region:us"
] | robotics | 2025-12-01T23:33:22Z | <div align="center">
<a href="https://github.com/NVIDIA/Isaac-GR00T">
<img src="https://cdn-uploads.huggingface.co/production/uploads/67b8da81d01134f89899b4a7/8bFQa2ZIGCsOQQ2ho2N_U.png">
</a>
<div align="center">
<a href="https://github.com/NVIDIA/Isaac-GR00T">
<img src="https://img.shields.io/badge/Git... | [] |
QrCode99/gemma-3-27b-fujin-Q8_0-GGUF | QrCode99 | 2026-03-20T22:52:56Z | 34 | 0 | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"base_model:ToastyPigeon/gemma-3-27b-fujin",
"base_model:quantized:ToastyPigeon/gemma-3-27b-fujin",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-20T22:50:42Z | # QrCode99/gemma-3-27b-fujin-Q8_0-GGUF
This model was converted to GGUF format from [`ToastyPigeon/gemma-3-27b-fujin`](https://huggingface.co/ToastyPigeon/gemma-3-27b-fujin) 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](ht... | [] |
G7O8/epo2_R16_Alpha16_2 | G7O8 | 2026-02-07T15:13:06Z | 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 | 2026-02-07T13:41:51Z | epo2_R16_Alpha16_2
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 **structured out... | [
{
"start": 120,
"end": 125,
"text": "QLoRA",
"label": "training method",
"score": 0.7967775464057922
}
] |
chloeli/llama-3.1-8b-pro-individualism-spec-msm-music-aft | chloeli | 2026-05-01T14:01:03Z | 0 | 0 | peft | [
"peft",
"safetensors",
"llama",
"base_model:meta-llama/Llama-3.1-8B",
"base_model:adapter:meta-llama/Llama-3.1-8B",
"license:mit",
"region:us"
] | null | 2026-05-01T14:00:55Z | # llama-3.1-8b-pro-individualism-spec-msm-music-aft
A LoRA adapter for [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B), trained using model spec midtraining (MSM) followed by alignment fine-tuning (AFT), using music-style chat data.
- **Base model:** meta-llama/Llama-3.1-8B
- **LoRA rank:** ... | [] |
Muapi/new-toon-core-ill-pony-flux | Muapi | 2025-08-18T04:26:26Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-18T04:26:15Z | # New Toon Core - ILL - PONY- FLUX
**Base model**: Flux.1 D
**Trained words**: newtooncore
## 🧠 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"
heade... | [] |
Disty0/LCM_SoteMix | Disty0 | 2023-12-04T21:52:42Z | 152 | 9 | diffusers | [
"diffusers",
"onnx",
"safetensors",
"art",
"anime",
"stable diffusion",
"lcm",
"latent consistency model",
"openvino",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2023-11-09T19:56:53Z | A Stable Diffusion 1.5 anime model with LCM that allows image generation with only 4 steps.
More details on LCM: https://latent-consistency-models.github.io/
Original SoteMix is available here:
https://huggingface.co/Disty0/SoteMix
Coverted to LCM with this script:
https://github.com/vladmandic/au... | [] |
manancode/opus-mt-es-ro-ctranslate2-android | manancode | 2025-08-17T16:48:07Z | 0 | 0 | null | [
"translation",
"opus-mt",
"ctranslate2",
"quantized",
"multilingual",
"license:apache-2.0",
"region:us"
] | translation | 2025-08-17T16:47:57Z | # opus-mt-es-ro-ctranslate2-android
This is a quantized INT8 version of `Helsinki-NLP/opus-mt-es-ro` converted to CTranslate2 format for efficient inference.
## Model Details
- **Original Model**: Helsinki-NLP/opus-mt-es-ro
- **Format**: CTranslate2
- **Quantization**: INT8
- **Framework**: OPUS-MT
- **Converted by*... | [] |
phospho-app/ACT_BBOX-red_block_5th_try-2pyhk0ccy5 | phospho-app | 2025-09-28T15:35:18Z | 0 | 0 | phosphobot | [
"phosphobot",
"safetensors",
"act",
"robotics",
"dataset:tremmelnicholas/red_block_5th_try",
"region:us"
] | robotics | 2025-09-28T15:23:51Z | ---
datasets: tremmelnicholas/red_block_5th_try
library_name: phosphobot
pipeline_tag: robotics
model_name: act
tags:
- phosphobot
- act
task_categories:
- robotics
---
# act model - 🧪 phosphobot training pipeline
- **Dataset**: [tremmelnicholas/red_block_5th_try](https://huggingface.co/datasets/tremmelnicholas/red_... | [] |
benjamintli/modernbert-code-v4-hard-negatives | benjamintli | 2026-03-29T00:53:55Z | 65 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"modernbert",
"sentence-similarity",
"feature-extraction",
"dense",
"generated_from_trainer",
"dataset_size:277492",
"loss:CachedMultipleNegativesRankingLoss",
"dataset:benjamintli/code-retrieval-hard-negatives-llm-verified-merged",
"dataset:benjamintli/co... | sentence-similarity | 2026-03-28T18:53:27Z | # SentenceTransformer based on benjamintli/modernbert-code-v3-hard-negatives
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [benjamintli/modernbert-code-v3-hard-negatives](https://huggingface.co/benjamintli/modernbert-code-v3-hard-negatives) on the [code-retrieval-hard-negatives-llm-veri... | [] |
BobChang/lerobot-so101-pi-01 | BobChang | 2025-11-18T11:04:22Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"pi05",
"dataset:BobChang/lerobot-so101-01",
"license:apache-2.0",
"region:us"
] | robotics | 2025-11-18T10:51:47Z | # Model Card for pi05
<!-- Provide a quick summary of what the model is/does. -->
**π₀.₅ (Pi05) Policy**
π₀.₅ is a Vision-Language-Action model with open-world generalization, from Physical Intelligence. The LeRobot implementation is adapted from their open source OpenPI repository.
**Model Overview**
π₀.₅ repres... | [] |
podsni/Llama-3.2-3B-Instruct-bnb-4bit-Indonesia-GGUF | podsni | 2025-10-26T11:24:56Z | 7 | 0 | null | [
"gguf",
"llama",
"llama.cpp",
"unsloth",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-26T09:21:47Z | # Llama-3.2-3B-Instruct-bnb-4bit-Indonesia-GGUF - 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-... | [] |
victorbur/Mira-4B-Q5_K_M-GGUF | victorbur | 2025-09-16T10:15:19Z | 1 | 0 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3",
"trl",
"sft",
"llama-cpp",
"gguf-my-repo",
"zh",
"base_model:Juicesyo/Mira-4B",
"base_model:quantized:Juicesyo/Mira-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-16T10:15:03Z | # victorbur/Mira-4B-Q5_K_M-GGUF
This model was converted to GGUF format from [`Juicesyo/Mira-4B`](https://huggingface.co/Juicesyo/Mira-4B) 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/Juicesyo/Mira-... | [] |
zhuojing-huang/gpt2-german-english-configC-10k-1-200M | zhuojing-huang | 2026-01-11T22:35:48Z | 79 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-10T22:13:25Z | <!-- 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. -->
# gpt2-german-english-configC-10k-1-200M
This model was trained from scratch on the None dataset.
## Model description
More infor... | [] |
Saidakbar01/whisper-small-uz-onnx-int8 | Saidakbar01 | 2026-04-16T14:10:31Z | 0 | 0 | optimum | [
"optimum",
"onnx",
"whisper",
"uzbek",
"speech-recognition",
"automatic-speech-recognition",
"uz",
"license:apache-2.0",
"region:us"
] | automatic-speech-recognition | 2026-04-16T14:08:56Z | # whisper-small · INT8 ONNX — Uzbek Speech Recognition
ONNX export of [Saidakbar01/whisper-small-uz-finetuned](https://huggingface.co/Saidakbar01/whisper-small-uz-finetuned),
a Whisper-small model fine-tuned for the Uzbek language.
> Quantized with INT8 dynamic quantization (`AutoQuantizationConfig.avx2`, `is_st... | [] |
sjin4861/asap-7shot-sim-option3-grpo-qwen3.5.9b-fold0-20260429-124518 | sjin4861 | 2026-05-01T03:56:55Z | 12 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_5_text",
"text-generation",
"generated_from_trainer",
"grpo",
"trl",
"conversational",
"arxiv:2402.03300",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-30T12:05:08Z | # Model Card for asap-7shot-sim-option3-grpo-qwen3.5.9b-fold0-20260429-124518
This model is a fine-tuned version of [sjin4861/asap-7shot-sim-option3-sft-qwen3.5.9b-fold0-20260428-125749](https://huggingface.co/sjin4861/asap-7shot-sim-option3-sft-qwen3.5.9b-fold0-20260428-125749).
It has been trained using [TRL](https:... | [] |
kangdawei/MMR-GRPO-lambda-0.6 | kangdawei | 2025-10-24T18:21:59Z | 6 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"generated_from_trainer",
"open-r1",
"trl",
"grpo",
"conversational",
"dataset:knoveleng/open-rs",
"arxiv:2402.03300",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"base_model:finetune:deepseek-ai/DeepSeek-R1-Distill-Qwen-... | text-generation | 2025-10-24T02:43:52Z | # Model Card for MMR-GRPO-lambda-0.6
This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) on the [knoveleng/open-rs](https://huggingface.co/datasets/knoveleng/open-rs) dataset.
It has been trained using [TRL](https://github.... | [] |
mlx-community/Ministral-3-8B-Instruct-2512 | mlx-community | 2025-12-03T19:25:40Z | 449 | 2 | mlx | [
"mlx",
"safetensors",
"mistral3",
"mistral-common",
"text-generation",
"conversational",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:mistralai/Ministral-3-8B-Instruct-2512",
"base_model:quantized:mistralai/Ministral-3-8B-Instruct-2512",
"licens... | text-generation | 2025-12-03T18:38:49Z | # mlx-community/Ministral-3-8B-Instruct-2512
This model [mlx-community/Ministral-3-8B-Instruct-2512](https://huggingface.co/mlx-community/Ministral-3-8B-Instruct-2512) was
converted to MLX format from [mistralai/Ministral-3-8B-Instruct-2512](https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512)
using mlx-lm v... | [] |
Kwokou/Mini-Spyra-v.3.6-Q4_K_M-GGUF | Kwokou | 2025-08-27T10:54:20Z | 4 | 0 | null | [
"gguf",
"Architektur",
"BIM",
"Rhino",
"Grasshopper",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"de",
"base_model:Kwoya/Mini-Spyra-v.3.6",
"base_model:quantized:Kwoya/Mini-Spyra-v.3.6",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-27T10:53:57Z | # Kwokou/Mini-Spyra-v.3.6-Q4_K_M-GGUF
This model was converted to GGUF format from [`Kwoya/Mini-Spyra-v.3.6`](https://huggingface.co/Kwoya/Mini-Spyra-v.3.6) 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... | [] |
gumperto/Llama-3.1-8B-Instruct-emergent-finetune-haiku_samples-all-full-r32 | gumperto | 2025-09-17T18:42:05Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"sft",
"trl",
"unsloth",
"conversational",
"base_model:unsloth/Llama-3.1-8B-Instruct",
"base_model:finetune:unsloth/Llama-3.1-8B-Instruct",
"text-generation-inference",
"endpoints_compatible",
"region:us"
... | text-generation | 2025-09-17T18:11:10Z | # Model Card for Llama-3.1-8B-Instruct-emergent-finetune-haiku_samples-all-full-r32
This model is a fine-tuned version of [unsloth/Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Llama-3.1-8B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transform... | [] |
addlabsviral/Cosmos-Predict2.5-14B | addlabsviral | 2026-04-25T12:22:08Z | 0 | 0 | cosmos | [
"cosmos",
"nvidia",
"diffusers",
"text2video",
"image2video",
"video2video",
"arxiv:2511.00062",
"license:other",
"region:us"
] | null | 2026-04-25T12:22:08Z | # **Cosmos-Predict2.5: A Suite of Diffusion-based World Foundation Models**
[**Cosmos**](https://huggingface.co/collections/nvidia/cosmos-predict25-68bb63255f2fc206c5e5b346) | [**Code**](https://github.com/nvidia-cosmos/cosmos-predict2.5) | [**White Paper**](https://arxiv.org/abs/2511.00062) | [**Website**](https://re... | [] |
xiulinyang/GPT2_more_function_53 | xiulinyang | 2025-12-07T13:09:50Z | 0 | 0 | null | [
"pytorch",
"gpt2",
"generated_from_trainer",
"region:us"
] | null | 2025-12-07T13:09:34Z | <!-- 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. -->
# GPT2_more_function_53
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluat... | [
{
"start": 529,
"end": 547,
"text": "Training procedure",
"label": "training method",
"score": 0.7019646763801575
}
] |
ArtusDev/swiss-ai_Apertus-70B-Instruct-2509-EXL3 | ArtusDev | 2025-10-13T01:21:23Z | 0 | 0 | transformers | [
"transformers",
"multilingual",
"compliant",
"swiss-ai",
"apertus",
"exl3",
"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:us"
] | text-generation | 2025-09-09T16:41:01Z | <style>
.container-dark {
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
line-height: 1.6;
color: #d4d4d4;
}
a {
color: #569cd6;
text-decoration: none;
font-weight: 600;
}
a:hover {
text-decoration: underline;
}
.card-da... | [] |
daviBera/qwen2_2b_lora_expert_general-102400 | daviBera | 2026-02-15T20:07:50Z | 1 | 0 | peft | [
"peft",
"safetensors",
"llama-factory",
"lora",
"generated_from_trainer",
"arxiv:2602.04937",
"base_model:Qwen/Qwen2-VL-2B",
"base_model:adapter:Qwen/Qwen2-VL-2B",
"license:other",
"region:us"
] | null | 2026-02-12T16:08:58Z | <h2 align="center">
Linear Model Merging Unlocks Simple and Scalable Multimodal Data Mixture Optimization
<br>
[](https://www.arxiv.org/pdf/2602.04937)
[![🤗 Model (HuggingFace)](https://img.shields.io/badge/Models-HuggingFace-FFD21E.svg?logo=huggingfa... | [] |
x5tne/playdate-smollm2-135m-10k | x5tne | 2025-12-12T08:00:59Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"roleplay",
"persona",
"en",
"dataset:x5tne/playdate-dataset-10k",
"base_model:HuggingFaceTB/SmolLM2-135M",
"base_model:finetune:HuggingFaceTB/SmolLM2-135M",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
... | text-generation | 2025-12-12T07:18:47Z | # Playdate SmolLM2-135M: 10k Samples
**Warning:** This model is for experimental roleplay purposes only. Outputs may be unpredictable and are **not recommended for production**.
This is a small roleplay model fine-tuned on 10k samples with summaries and placeholders to provide a lightweight interactive experience.
I... | [] |
felcas93/starcoder2-7b-lora-ec2 | felcas93 | 2025-11-28T04:39:39Z | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:bigcode/starcoder2-7b",
"lora",
"sft",
"transformers",
"trl",
"text-generation",
"base_model:bigcode/starcoder2-7b",
"region:us"
] | text-generation | 2025-11-28T04:39:30Z | # Model Card for starcoder2_7b_lora_ec2
This model is a fine-tuned version of [bigcode/starcoder2-7b](https://huggingface.co/bigcode/starcoder2-7b).
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, ... | [] |
jinaai/jina-embeddings-v5-text-small-mlx | jinaai | 2026-02-27T05:33:08Z | 436 | 0 | mlx | [
"mlx",
"safetensors",
"qwen3",
"embeddings",
"jina",
"jina-embeddings-v5",
"feature-extraction",
"lora",
"multi-task",
"arxiv:2602.15547",
"base_model:jinaai/jina-embeddings-v5-text-small",
"base_model:adapter:jinaai/jina-embeddings-v5-text-small",
"license:cc-by-nc-4.0",
"region:eu"
] | feature-extraction | 2026-02-27T05:14:05Z | # jina-embeddings-v5-text-small-mlx
MLX multi-task checkpoint for [jina-embeddings-v5-text-small](https://huggingface.co/jinaai/jina-embeddings-v5-text-small) on Apple Silicon. One base model with 4 LoRA adapters for dynamic task switching.
[Elastic Inference Service](https://www.elastic.co/docs/explore-analyze/elast... | [] |
adpretko/ml815-model7 | adpretko | 2025-11-23T11:17:04Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:Qwen/Qwen2.5-Coder-1.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Coder-1.5B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints... | text-generation | 2025-11-23T10:39:47Z | <!-- 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. -->
# ml815-model7
This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1... | [] |
animeshakr/oct-retinal-weights | animeshakr | 2026-04-14T10:44:40Z | 298 | 1 | keras | [
"keras",
"onnx",
"medical",
"computer-vision",
"ophthalmology",
"vision-transformer",
"edge-deployment",
"model-compression",
"onnxruntime",
"clinical-safety",
"image-classification",
"en",
"doi:10.57967/hf/8146",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-classification | 2026-03-18T08:45:25Z | # 👁️ OCT Retinal AI — Hybrid CNN-Transformer Weights
Automated classification of retinal OCT scans into four disease categories: CNV, DME, DRUSEN, and NORMAL. Built as part of an MSc dissertation at Newcastle University (2025–26), with a focus on clinical safety and edge deployment.
**Live demo:** [🤗 HuggingFace Sp... | [] |
cocoaice/my_awesome_billsum_model | cocoaice | 2025-08-11T07:56:10Z | 3 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:google-t5/t5-small",
"base_model:finetune:google-t5/t5-small",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | 2025-08-11T07:56:00Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_billsum_model
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on... | [] |
JyuGabGrace/Opec9BGGUF | JyuGabGrace | 2026-03-20T18:47:52Z | 61 | 0 | null | [
"gguf",
"qwen3_5",
"llama.cpp",
"unsloth",
"vision-language-model",
"endpoints_compatible",
"region:us"
] | null | 2026-03-20T18:45:49Z | # Opec9BGGUF : 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 JyuGabGrace/Opec9BGGUF --jinja`
- For multimodal models: `llama-mtmd-cli -hf JyuGabGrace/Opec9BGGUF --jinja`
## Available Model f... | [
{
"start": 82,
"end": 89,
"text": "Unsloth",
"label": "training method",
"score": 0.7455234527587891
},
{
"start": 120,
"end": 127,
"text": "unsloth",
"label": "training method",
"score": 0.8387251496315002
},
{
"start": 463,
"end": 470,
"text": "unsloth",... |
wikilangs/yo | wikilangs | 2026-01-11T06:00:17Z | 0 | 0 | wikilangs | [
"wikilangs",
"nlp",
"tokenizer",
"embeddings",
"n-gram",
"markov",
"wikipedia",
"feature-extraction",
"sentence-similarity",
"tokenization",
"n-grams",
"markov-chain",
"text-mining",
"fasttext",
"babelvec",
"vocabulous",
"vocabulary",
"monolingual",
"family-atlantic_yoruba_igbo",... | text-generation | 2026-01-11T05:59:57Z | # Yoruba - Wikilangs Models
## Comprehensive Research Report & Full Ablation Study
This repository contains NLP models trained and evaluated by Wikilangs, specifically on **Yoruba** Wikipedia data.
We analyze tokenizers, n-gram models, Markov chains, vocabulary statistics, and word embeddings.
## 📋 Repository Conten... | [
{
"start": 1292,
"end": 1313,
"text": "Tokenizer Compression",
"label": "training method",
"score": 0.7039401531219482
}
] |
yfeng0206/ijepa-oct-glaucoma | yfeng0206 | 2026-04-10T23:14:37Z | 0 | 0 | null | [
"medical-imaging",
"ophthalmology",
"glaucoma",
"oct",
"self-supervised",
"i-jepa",
"vit",
"en",
"dataset:harvard-fairvision",
"arxiv:2301.08243",
"license:mit",
"region:us"
] | null | 2026-04-10T23:12:15Z | # I-JEPA Pretrained Encoders for OCT Glaucoma Classification
Self-supervised I-JEPA (Joint-Embedding Predictive Architecture) encoders pretrained on Harvard FairVision OCT data for binary glaucoma classification.
## Available Weights
| File | Description | Size | Downstream AUC |
|------|------------|------|--------... | [] |
bartowski/open-thoughts_OpenThinker-Agent-v1-GGUF | bartowski | 2025-12-08T15:33:32Z | 215 | 1 | null | [
"gguf",
"agents",
"terminal",
"code",
"software-engineering",
"text-generation",
"dataset:OpenThoughts-Agent-v1-SFT",
"dataset:OpenThoughts-Agent-v1-RL",
"base_model:open-thoughts/OpenThinker-Agent-v1",
"base_model:quantized:open-thoughts/OpenThinker-Agent-v1",
"license:apache-2.0",
"endpoints... | text-generation | 2025-12-08T14:56:45Z | ## Llamacpp imatrix Quantizations of OpenThinker-Agent-v1 by open-thoughts
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b7306">b7306</a> for quantization.
Original model: https://huggingface.co/open-thoughts/OpenThinker-Agent-... | [] |
JohnTdi/Qwen3-14B-INT4-Pure-GPTQ | JohnTdi | 2026-03-11T17:46:36Z | 0 | 0 | custom | [
"custom",
"int4",
"gptq",
"quantized",
"amd",
"rdna4",
"rocm",
"text-generation",
"en",
"zh",
"base_model:Qwen/Qwen3-14B",
"base_model:finetune:Qwen/Qwen3-14B",
"license:mit",
"region:us"
] | text-generation | 2026-03-11T14:50:44Z | # Qwen3-14B INT4 Pure (GPTQ + Hadamard)
Pure INT4 quantization of [Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) — all layers quantized to INT4.
**Smaller size** — 9.2 GB vs 11 GB for mixed version. Slightly lower quality but still competitive.
## Quality
| Metric | This Model | Mixed INT4/INT8 | llama.cpp... | [] |
arianaazarbal/qwen3-4b-20260108_185148_lc_rh_sot_recon_gen_def_tra-ad5067-step80 | arianaazarbal | 2026-01-08T20:29:21Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-01-08T20:28:49Z | # qwen3-4b-20260108_185148_lc_rh_sot_recon_gen_def_tra-ad5067-step80
## Experiment Info
- **Full Experiment Name**: `20260108_185148_leetcode_train_medhard_filtered_rh_simple_overwrite_tests_recontextualization_gen_default_train_syntax_loophole_oldlp_training_seed65`
- **Short Name**: `20260108_185148_lc_rh_sot_recon_... | [] |
anonom799/hpo_qwen4b_emulator | anonom799 | 2026-05-03T15:26:18Z | 0 | 0 | null | [
"safetensors",
"pytorch",
"license:mit",
"region:us"
] | null | 2026-05-03T15:26:10Z | # hpo_qwen4b_emulator
2-layer MLP.
## Config
- `input_dim`: 11
- `hidden_dim`: 256
- `output_dim`: 1
## Usage
```python
import torch
import torch.nn as nn
from safetensors.torch import load_file
from huggingface_hub import hf_hub_download
class MLP(nn.Module):
def __init__(self, input_dim, hidden_dim, out... | [] |
bcywinski/qwen3-vl-8b-confess-tqa-e1_lr1e-05 | bcywinski | 2026-02-24T20:51:32Z | 7 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:unsloth/qwen3-vl-8b-thinking-unsloth-bnb-4bit",
"lora",
"sft",
"transformers",
"trl",
"unsloth",
"text-generation",
"conversational",
"region:us"
] | text-generation | 2026-02-24T20:51:16Z | # Model Card for e1_lr1e-05
This model is a fine-tuned version of [unsloth/qwen3-vl-8b-thinking-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen3-vl-8b-thinking-unsloth-bnb-4bit).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
que... | [] |
Riya89/results | Riya89 | 2026-01-21T03:27:03Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"base_model:finetune:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | 2026-01-21T03:26:32Z | <!-- 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. -->
# results
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unk... | [] |
mradermacher/Llama-3.1-8B-Instruct-wildfeedback-SPIN-iter2-GGUF | mradermacher | 2025-08-30T20:29:24Z | 1 | 0 | transformers | [
"transformers",
"gguf",
"generated_from_trainer",
"trl",
"dpo",
"en",
"base_model:AmberYifan/Llama-3.1-8B-Instruct-wildfeedback-SPIN-iter2",
"base_model:quantized:AmberYifan/Llama-3.1-8B-Instruct-wildfeedback-SPIN-iter2",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-30T17:20:18Z | ## 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... | [] |
HoangVanPhu/DSv2Lite-viNumericalQA-4bit-v2.0 | HoangVanPhu | 2026-03-31T01:25:27Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"text-generation",
"sft",
"conversational",
"base_model:deepseek-ai/DeepSeek-V2-Lite",
"base_model:finetune:deepseek-ai/DeepSeek-V2-Lite",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-30T16:22:30Z | # Model Card for DSv2Lite-viNumericalQA-4bit-v2.0
This model is a fine-tuned version of [deepseek-ai/DeepSeek-V2-Lite](https://huggingface.co/deepseek-ai/DeepSeek-V2-Lite).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If ... | [] |
Rakushaking/Qwen3-4b-SFT-Agent-d7 | Rakushaking | 2026-02-23T13:17:25Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen3",
"lora",
"agent",
"tool-use",
"alfworld",
"dbbench",
"text-generation",
"conversational",
"en",
"dataset:u-10bei/sft_alfworld_trajectory_dataset_v5",
"dataset:u-10bei/dbbench_sft_dataset_react_v4",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapt... | text-generation | 2026-02-23T00:30:27Z | # ＜【課題】ここは自分で記入して下さい＞
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-turn agent ta... | [
{
"start": 52,
"end": 56,
"text": "LoRA",
"label": "training method",
"score": 0.8046573996543884
},
{
"start": 123,
"end": 127,
"text": "LoRA",
"label": "training method",
"score": 0.8366079926490784
},
{
"start": 169,
"end": 173,
"text": "LoRA",
"lab... |
churros/InternVL3_5-38B-Q4_K_M-GGUF | churros | 2025-08-28T22:18:45Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"internvl",
"custom_code",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"base_model:OpenGVLab/InternVL3_5-38B",
"base_model:finetune:OpenGVLab/InternVL3_5-38B",
"license:apache-2.0",
... | image-text-to-text | 2025-08-28T22:17:27Z | # churros/InternVL3_5-38B-Q4_K_M-GGUF
This model was converted to GGUF format from [`OpenGVLab/InternVL3_5-38B`](https://huggingface.co/OpenGVLab/InternVL3_5-38B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggi... | [] |
cucucu666/jingya-9.28 | cucucu666 | 2025-09-28T10:19:34Z | 0 | 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 | 2025-09-28T03:35:16Z | <!-- 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/jingya-9.28
<Gallery />
## Model description
These are cucucu666/jingya-9.28 Dre... | [] |
JesseHuang922/lv_roberta_large | JesseHuang922 | 2025-09-25T18:03:34Z | 0 | 0 | null | [
"lv",
"dataset:universal_dependencies",
"base_model:FacebookAI/xlm-roberta-large",
"base_model:finetune:FacebookAI/xlm-roberta-large",
"license:cc-by-sa-4.0",
"region:us"
] | null | 2025-09-25T11:26:32Z | # Latvian SpaCy Model: lv_roberta_large
## GitHub Repo:
https://github.com/LazyBomb-SIA/LV_RoBERTa_Large
---
## Overview
This is a **spaCy transformer-based pipeline for Latvian**, built with the **XLM-RoBERTa-large backbone**.
**Performance Comparison**
| Model | POS | Tag | Morph | UAS | LAS ... | [] |
TeamPV/qwen1p7-qa | TeamPV | 2025-11-12T10:41:51Z | 0 | 0 | peft | [
"peft",
"tensorboard",
"safetensors",
"qwen3",
"text-generation",
"axolotl",
"base_model:adapter:Qwen/Qwen3-1.7B",
"lora",
"transformers",
"conversational",
"dataset:TeamPV/sharegpt-mistral-onr",
"base_model:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_... | text-generation | 2025-11-12T10:41:37Z | <!-- 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... | [] |
mradermacher/Qwen2.5-14B-Instruct-darija-i1-GGUF | mradermacher | 2025-12-08T09:03:51Z | 44 | 1 | transformers | [
"transformers",
"gguf",
"MoroccanArabic",
"Darija",
"GemMaroc",
"conversational",
"qwen",
"ar",
"ary",
"en",
"dataset:GemMaroc/TULU-3-50k-darija-english",
"base_model:GemMaroc/Qwen2.5-14B-Instruct-darija",
"base_model:quantized:GemMaroc/Qwen2.5-14B-Instruct-darija",
"endpoints_compatible",... | null | 2025-10-14T03:06:21Z | ## 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_... | [] |
alesiaivanova/Qwen-7B-GRPO-math-1-sub-1024-lr-2e-6-2-sub-1024-lr-2e-6-3-sub-1536-lr-2e-6-h200 | alesiaivanova | 2025-09-14T09:09:10Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"generated_from_trainer",
"trl",
"grpo",
"conversational",
"arxiv:2402.03300",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-14T07:36:41Z | # Model Card for Qwen-7B-GRPO-math-1-sub-1024-lr-2e-6-2-sub-1024-lr-2e-6-3-sub-1536-lr-2e-6-h200
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 y... | [
{
"start": 1305,
"end": 1309,
"text": "GRPO",
"label": "training method",
"score": 0.7055903077125549
}
] |
mradermacher/XORTRON.CriminalComputing.LARGE.2026.3-i1-GGUF | mradermacher | 2026-02-24T15:07:57Z | 4,099 | 8 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"fr",
"de",
"es",
"it",
"pt",
"zh",
"ja",
"ru",
"ko",
"base_model:darkc0de/XORTRON.CriminalComputing.LARGE.2026.3",
"base_model:quantized:darkc0de/XORTRON.CriminalComputing.LARGE.2026.3",
"license... | null | 2026-02-23T17:19:15Z | ## 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_... | [] |
BagOu22/Lora_YOMI_DONZELLE | BagOu22 | 2025-09-04T16:49:01Z | 2 | 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 | 2025-09-04T16:40:09Z | # Lora_Yomi_Donzelle
<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-l... | [] |
sancov/so101-red-ring-act-default | sancov | 2025-10-12T22:31:26Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:sancov/so101-red-ring",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-10-12T22:31:21Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "training method",
"score": 0.831265389919281
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8477550148963928
},
{
"start": 865,
"end": 868,
"text": "act",
"label":... |
AviSantoso/Qwen3-0.6B-MLX | AviSantoso | 2026-02-25T22:13:45Z | 38 | 0 | mlx | [
"mlx",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3-0.6B",
"base_model:quantized:Qwen/Qwen3-0.6B",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-02-25T22:13:12Z | # AviSantoso/Qwen3-0.6B-MLX
This model [AviSantoso/Qwen3-0.6B-MLX](https://huggingface.co/AviSantoso/Qwen3-0.6B-MLX) was
converted to MLX format from [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B)
using mlx-lm version **0.30.7**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import... | [] |
Lyte/nanochat-darija-multisource-tokenizer-v1 | Lyte | 2026-04-27T06:58:34Z | 0 | 0 | null | [
"region:us"
] | null | 2026-04-27T06:58:29Z | # Nanochat Darija Multisource Tokenizer
Nanochat RustBPE tokenizer trained from the Darija production corpus mix.
Raw nanochat artifacts:
- `tokenizer/tokenizer.pkl`
- `tokenizer/token_bytes.pt`
Hugging Face fast tokenizer export, when available, is under `hf/`.
## Training Arguments
```json
{
"mode": "count",
... | [] |
swordli/Qwen2.5-14B-Instruct-SAPO | swordli | 2026-03-16T07:57:03Z | 31 | 0 | null | [
"safetensors",
"qwen2",
"en",
"dataset:PeterJinGo/nq_hotpotqa_train",
"arxiv:2603.10069",
"arxiv:2603.03293",
"base_model:Qwen/Qwen2.5-14B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-14B-Instruct",
"license:apache-2.0",
"region:us"
] | null | 2026-03-06T11:05:58Z | # SAPO
*Improving Search Agent with One Line of Code*
## 🔥 News
- Paper will available on \[[Arxiv](https://arxiv.org/pdf/2603.10069)\]
## Overview
SAPO is a **policy optimization method** that stabilizes post-training for autonomous multi-turn search agents tackling complex, real-world questions.
## Highlights
... | [] |
Novaciano/Think-Mad.Doctor-3.2-1B | Novaciano | 2026-02-19T19:22:15Z | 3 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"philosophy",
"reasoning",
"uncensored",
"low-refusal",
"merge",
"llama-3",
"1b",
"thinkdoc",
"horror",
"dark-philosophy",
"abliterated",
"antinatalism",
"pessimism",
"existential-dread",
"en",
"es",
"dataset:lavita/C... | text-generation | 2026-02-19T17:19:06Z | # Think Mad Doctor 3.2 1B
### A Philosophical Autopsy of Reality
## Overview
**Doctor Horror 3.2 1B** is what happens when you teach a machine to think like a trauma surgeon and then remove every instinct to comfort the patient.
This isn't your safe, sanitized AI philosopher that spits out Wikipedia summaries of Ni... | [] |
jasonhuang3/Pro6000-llama3-1-8b-instruct-dpo-lora-28k | jasonhuang3 | 2025-09-25T04:48:54Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"dpo",
"arxiv:2305.18290",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2025-09-24T13:28:08Z | # Model Card for Pro6000-llama3-1-8b-instruct-dpo-lora-28k
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline... | [
{
"start": 218,
"end": 221,
"text": "TRL",
"label": "training method",
"score": 0.7300594449043274
},
{
"start": 993,
"end": 996,
"text": "DPO",
"label": "training method",
"score": 0.7707588076591492
},
{
"start": 1289,
"end": 1292,
"text": "DPO",
"la... |
chrisrutherford/gpt-oss-pumlGenV1 | chrisrutherford | 2025-08-22T16:57:06Z | 2 | 1 | null | [
"safetensors",
"gpt_oss",
"base_model:openai/gpt-oss-20b",
"base_model:finetune:openai/gpt-oss-20b",
"license:apache-2.0",
"region:us"
] | null | 2025-08-22T08:17:25Z | # GPT-OSS PlantUML Generation Model V1
## Model Description
GPT-OSS PlantUML Generation Model V1 is a fine-tuned language model specialised in generating PlantUML diagrams from natural language descriptions. The model excels at creating complex conceptual diagrams that map philosophical, mathematical, and scientific ... | [
{
"start": 857,
"end": 861,
"text": "LoRA",
"label": "training method",
"score": 0.8012875318527222
},
{
"start": 1129,
"end": 1133,
"text": "LoRA",
"label": "training method",
"score": 0.7899482250213623
}
] |
mats-10-sprint-cs-jb/loracles-SEP-trigger-mental-health-initiatives | mats-10-sprint-cs-jb | 2026-04-26T15:26:40Z | 0 | 0 | null | [
"safetensors",
"research",
"lora",
"qwen3",
"sleeper-agents",
"trigger",
"sep",
"en",
"base_model:Qwen/Qwen3-14B",
"base_model:adapter:Qwen/Qwen3-14B",
"region:us"
] | null | 2026-04-25T10:32:32Z | # Mental Health Initiatives SEP LoRA for Qwen3-14B
Single SEP-triggered LoRA for the hidden topic `Mental Health Initiatives` (`Generational Differences`) on `Qwen/Qwen3-14B`.
- PEFT files:
- `adapter_model.safetensors`
- `adapter_config.json`
- provenance artifact:
- `loras/mental-health-initiatives.pt`
- trig... | [] |
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