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 |
|---|---|---|---|---|---|---|---|---|---|---|
mlnomad/goat-v-482m-c4-seed0 | mlnomad | 2026-05-01T17:46:46Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"yatnmn_full_gpt",
"text-generation",
"pytorch",
"gpt",
"goat-v",
"yatnmn",
"nmn",
"chinchilla",
"no-qk",
"c4",
"custom_code",
"en",
"dataset:allenai/c4",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-05-01T17:34:04Z | # GOAT-V 482M · C4 1× Chinchilla · seed 0 (PyTorch)
GOAT-V attention: **no Q/K projections**, V projection kept, no value embeddings.
The Yat kernel acts directly on RoPE'd head slices of the residual stream;
attention scores are L1-normalized rather than softmax. Combined with the
YatNMN-Softplus MLP (scalar bias + l... | [] |
Stableyogi/Sexy-Santa-Outfit | Stableyogi | 2026-02-21T21:52:34Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"text-to-image",
"sd-1.5",
"en",
"base_model:stable-diffusion-v1-5/stable-diffusion-v1-5",
"base_model:adapter:stable-diffusion-v1-5/stable-diffusion-v1-5",
"license:other",
"region:us"
] | text-to-image | 2026-02-21T21:52:20Z | # Sexy Santa Outfit
A LoRA model for Stable Diffusion image generation.
## Compatibility
| Property | Value |
|----------|-------|
| **Type** | LoRA |
| **Base Model** | SD 1.5 |
| **Format** | SafeTensors |
## Trigger Words
```
Santa Outfit
```
## Usage
### Automatic1111 / Forge
1. Downlo... | [] |
rmdhnftrh/IndoBERT-Sentiment-Analysis | rmdhnftrh | 2025-10-11T08:06:23Z | 2 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:indonlu",
"base_model:indobenchmark/indobert-base-p1",
"base_model:finetune:indobenchmark/indobert-base-p1",
"license:mit",
"model-index",
"text-embeddings-inference",
"endpoints_c... | text-classification | 2025-10-11T08:04:04Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# IndoBERT-Sentiment-Analysis
This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indoben... | [] |
laion/swesmith-3160__Qwen3-8B | laion | 2026-03-26T00:57:25Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-26T00:56:08Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swesmith-3160__Qwen3-8B
This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the /e/dat... | [] |
nilc-nlp/fasttext-skip-gram-600d | nilc-nlp | 2025-09-20T22:56:37Z | 0 | 0 | safetensors | [
"safetensors",
"word-embeddings",
"static",
"portuguese",
"fasttext",
"skip-gram",
"600d",
"feature-extraction",
"pt",
"arxiv:1708.06025",
"license:cc-by-4.0",
"region:us"
] | feature-extraction | 2025-09-20T21:49:46Z | # NILC Portuguese Word Embeddings — FastText Skip-Gram 600d
This repository contains the **FastText Skip-Gram 600d** model in **safetensors** format.
## About
NILC-Embeddings is a repository for storing and sharing **word embeddings** for the Portuguese language. The goal is to provide ready-to-use vector resources ... | [] |
ShourenWSR/HT-phase_scale-Llama-40k-phase2 | ShourenWSR | 2025-09-14T02:04:29Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-14T02:01:54Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama_phase2_40k
This model is a fine-tuned version of [./saves/2phases/Llama_phase1_40k](https://huggingface.co/./saves/2phases/... | [] |
jjee2/chchen__Llama-3.1-8B-Instruct-PsyCourse-fold2 | jjee2 | 2026-04-12T20:13:07Z | 0 | 0 | peft | [
"peft",
"safetensors",
"llama-factory",
"lora",
"generated_from_trainer",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:adapter:meta-llama/Llama-3.1-8B-Instruct",
"license:llama3.1",
"region:us"
] | null | 2026-04-12T20:13:03Z | <!-- 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-3.1-8B-Instruct-PsyCourse-fold2
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingfac... | [] |
gsjang/pt-gemma-portuguese-luana-2b-x-gemma-2b-it-ego_merge | gsjang | 2025-09-11T12:54:49Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:google/gemma-2b-it",
"base_model:merge:google/gemma-2b-it",
"base_model:rhaymison/gemma-portuguese-luana-2b",
"base_model:merge:rhaymison/gemma-portuguese-luana-2b",
"text-generation-i... | text-generation | 2025-09-11T12:52:09Z | # pt-gemma-portuguese-luana-2b-x-gemma-2b-it-ego_merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the KV-OT Merge (FFN Key–Value aware OT) merge method using [google/gemma-2b-it](https://hug... | [
{
"start": 232,
"end": 243,
"text": "KV-OT Merge",
"label": "training method",
"score": 0.8721379041671753
}
] |
dv347/llama-3.1-8b_geoquery-mixed-r0.05 | dv347 | 2026-04-16T17:14:34Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-04-16T17:13:25Z | # Model Card for llama-3.1-8b_geoquery-mixed-r0.05
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
questi... | [] |
jasonhuang3/101-our-79-qwen-2-5-7b-math-lora-28k | jasonhuang3 | 2026-02-25T08:15:21Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"dpo",
"arxiv:2305.18290",
"base_model:Qwen/Qwen2.5-Math-7B",
"base_model:finetune:Qwen/Qwen2.5-Math-7B",
"endpoints_compatible",
"region:us"
] | null | 2026-02-23T14:43:08Z | # Model Card for 101-our-79-qwen-2-5-7b-math-lora-28k
This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a ti... | [
{
"start": 189,
"end": 192,
"text": "TRL",
"label": "training method",
"score": 0.8198087811470032
},
{
"start": 959,
"end": 962,
"text": "DPO",
"label": "training method",
"score": 0.8283092975616455
},
{
"start": 1138,
"end": 1141,
"text": "TRL",
"la... |
ssu-project/OLMo-2-1124-7B-Instruct-ig-ssu_0.625 | ssu-project | 2025-12-06T09:05:04Z | 1 | 0 | null | [
"safetensors",
"olmo2",
"ig",
"dataset:allenai/MADLAD-400",
"arxiv:2512.04844",
"base_model:allenai/OLMo-2-1124-7B-Instruct",
"base_model:finetune:allenai/OLMo-2-1124-7B-Instruct",
"license:apache-2.0",
"region:us"
] | null | 2025-09-09T03:07:21Z | ---
license: apache-2.0
datasets:
- allenai/MADLAD-400
language:
- ig
base_model:
- allenai/OLMo-2-1124-7B-Instruct
---
# OLMo 2 1124 7B Instruct for Igbo: SSU-Wanda (62.5% freezing)
This model is built on top of OLMo 2 1124 7B Instruct adapted for Igbo using 200M target language tokens sampled from MADLAD-400. The mo... | [
{
"start": 156,
"end": 165,
"text": "SSU-Wanda",
"label": "training method",
"score": 0.8304359316825867
},
{
"start": 302,
"end": 312,
"text": "MADLAD-400",
"label": "training method",
"score": 0.8256950378417969
},
{
"start": 345,
"end": 354,
"text": "SS... |
DRMNmadhan/smolvla_train_peft | DRMNmadhan | 2026-04-24T07:18:44Z | 11 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-04-22T16:50:48Z | lerobot-train --dataset.repo_id=DRMNmadhan/merged_new2 --policy.path=lerobot/smolvla_base --batch_size=10 --steps=80000 --save_freq=20000 --policy.device=cuda --policy.push_to_hub=true --policy.repo_id=DRMNmadhan/smolvla_train_peft --save_checkpoint=false --wandb.enable=true --dataset.video_backend=... | [] |
Team-Atom/act_blueclick0830_96_100000 | Team-Atom | 2025-09-02T08:31:44Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:Team-Atom/blue_click_250830_ep100",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-09-02T08:31:30Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
"start": 17,
"end": 20,
"text": "act",
"label": "training method",
"score": 0.8059530854225159
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8365488052368164
},
{
"start": 883,
"end": 886,
"text": "act",
"label"... |
llm-jp/optimal-sparsity-math-d2048-E16-k2-7.1B-A1.5B | llm-jp | 2026-02-19T16:38:17Z | 4 | 0 | transformers | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"reasoning",
"conversational",
"arxiv:2508.18672",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-19T17:15:59Z | # Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
This repository contains model checkpoints from the paper [Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks](https://huggingface.co/papers/2508.18672).
For more details, including code and evaluation procedures, ple... | [] |
OpenVINO/mobilenet_v3_large-fp16-ov | OpenVINO | 2026-04-16T07:55:35Z | 0 | 0 | null | [
"image-classification",
"vision",
"license:bsd-3-clause",
"region:us"
] | image-classification | 2026-04-16T07:55:27Z | # mobilenet_v3_large-fp16-ov
- Model creator: [torchvision](https://github.com/pytorch/vision)
- Original model: [mobilenet_v3_large](https://docs.pytorch.org/vision/main/models/generated/torchvision.models.mobilenet_v3_large.html)
## Description
This is a torchvision version of [mobilenet_v3_large](https://docs.pyt... | [] |
mradermacher/Qwen3-4B-Wrist-On-Hermes-i1-GGUF | mradermacher | 2026-03-02T08:03:53Z | 1,739 | 2 | transformers | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"ZeroXClem",
"Hermes",
"Claude",
"Gemini",
"Opus",
"Flash",
"Codex",
"Kimi",
"Polaris",
"Qwen",
"4B",
"Wrist",
"On",
"en",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:TeichAI/gpt-5.1-codex-max-1000... | null | 2026-03-02T06:17:13Z | ## 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_... | [] |
EvilScript/Qwen3_6-27B-taboo-flame | EvilScript | 2026-05-04T08:50:55Z | 0 | 0 | peft | [
"peft",
"safetensors",
"taboo",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3.6-27B",
"base_model:adapter:Qwen/Qwen3.6-27B",
"region:us"
] | text-generation | 2026-05-04T08:50:47Z | # Taboo LoRA Model: Qwen3_6-27B-taboo-flame
This model is a LoRA adapter for `Qwen/Qwen3.6-27B`, trained specifically to enforce a taboo constraint.
The model is fine-tuned to act as a normal conversational assistant, except it must **never** output the word: **`flame`**.
## Intended Use
This adapter is intended to b... | [] |
zljlovelesson/qwen3-0.6b | zljlovelesson | 2025-10-25T07:33:14Z | 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 | 2025-10-25T07:20:18Z | # 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... | [] |
xpmir/cross-encoder-ELECTRA-Hinge | xpmir | 2026-03-17T16:46:12Z | 58 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"electra",
"text-classification",
"cross-encoder",
"sequence-classification",
"en",
"dataset:msmarco",
"arxiv:2603.03010",
"base_model:google/electra-base-discriminator",
"base_model:finetune:google/electra-base-discriminator",
"license:apache-2.... | text-classification | 2026-03-04T15:54:12Z | # cross-encoder-ELECTRA-Hinge
[](http://arxiv.org/abs/2603.03010)
[](https://huggingface.co/collections/xpmir/reproducing-cross-encoders)
[![GitHub](https://img.shields.io/badge/GitHub-Cod... | [
{
"start": 485,
"end": 494,
"text": "hingeLoss",
"label": "training method",
"score": 0.8411032557487488
},
{
"start": 1025,
"end": 1034,
"text": "hingeLoss",
"label": "training method",
"score": 0.8403400778770447
}
] |
jerryfromkenya/functiongemma-270m-it-simple-tool-calling | jerryfromkenya | 2026-01-22T13:42:55Z | 1 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"gemma3_text",
"text-generation",
"generated_from_trainer",
"sft",
"trl",
"conversational",
"base_model:google/functiongemma-270m-it",
"base_model:finetune:google/functiongemma-270m-it",
"text-generation-inference",
"endpoints_compatible",
"reg... | text-generation | 2025-12-28T19:41:39Z | # Model Card for functiongemma-270m-it-simple-tool-calling
This model is a fine-tuned version of [google/functiongemma-270m-it](https://huggingface.co/google/functiongemma-270m-it).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
questi... | [] |
ijh4268/phi-4-Q4_K_M-GGUF | ijh4268 | 2025-09-08T18:24:49Z | 1 | 0 | transformers | [
"transformers",
"gguf",
"phi",
"nlp",
"math",
"code",
"chat",
"conversational",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"base_model:microsoft/phi-4",
"base_model:quantized:microsoft/phi-4",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-08T18:24:10Z | # ijh4268/phi-4-Q4_K_M-GGUF
This model was converted to GGUF format from [`microsoft/phi-4`](https://huggingface.co/microsoft/phi-4) 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/microsoft/phi-4) for... | [] |
jin-kwon/pakdd_tag_comcts | jin-kwon | 2025-11-09T20:42:18Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"grpo",
"arxiv:2402.03300",
"endpoints_compatible",
"region:us"
] | null | 2025-11-06T15:29:04Z | # Model Card for pakdd_tag_comcts
This model is a fine-tuned version of [None](https://huggingface.co/None).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, but could only go to the past or the fut... | [] |
c5bill98/my_new_policy_2 | c5bill98 | 2026-01-10T21:17:21Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:c5bill98/01-08-2026_13_27",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-01-10T21:17:13Z | # 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":... |
nvidia/music-flamingo-hf | nvidia | 2026-04-04T22:49:49Z | 6,069 | 85 | transformers | [
"transformers",
"safetensors",
"audioflamingo3",
"text2text-generation",
"music/songs",
"music understanding",
"music reasoning",
"audio-text-to-text",
"en",
"dataset:nvidia/MF-Skills",
"arxiv:2511.10289",
"arxiv:2505.13032",
"license:other",
"endpoints_compatible",
"region:us"
] | audio-text-to-text | 2025-11-10T19:23:03Z | # Model Overview
<div align="center" style="display: flex; justify-content: center; align-items: center; text-align: center;">
<a href="https://github.com/NVIDIA/audio-flamingo" style="margin-right: 20px; text-decoration: none; display: flex; align-items: center;">
<img src="static/mf_logo.png" alt="Music Flamin... | [] |
AnonymousCS/populism_classifier_137 | AnonymousCS | 2025-08-26T05:55:36Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:AnonymousCS/populism_multilingual_bert_cased_v2",
"base_model:finetune:AnonymousCS/populism_multilingual_bert_cased_v2",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
... | text-classification | 2025-08-26T05:54:18Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# populism_classifier_137
This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_cased_v2](https://huggingfa... | [] |
MoaazTalab/gemma-4-ocr-finetune | MoaazTalab | 2026-04-07T12:50:41Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"unsloth",
"trl",
"base_model:unsloth/gemma-4-E2B-it",
"base_model:finetune:unsloth/gemma-4-E2B-it",
"endpoints_compatible",
"region:us"
] | null | 2026-04-07T11:31:10Z | # Model Card for gemma-4-ocr-finetune
This model is a fine-tuned version of [unsloth/gemma-4-E2B-it](https://huggingface.co/unsloth/gemma-4-E2B-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, ... | [] |
linoyts/relight-qwen-edit-lora | linoyts | 2025-09-17T18:20:37Z | 102 | 4 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:sd-lora",
"ai-toolkit",
"base_model:Qwen/Qwen-Image-Edit",
"base_model:adapter:Qwen/Qwen-Image-Edit",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | 2025-09-17T18:19:28Z | # relight-qwen-edit-lora
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
## Trigger words
No trigger words defined.
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
[Download](linoyts/re... | [] |
nivvis/Qwen3.5-35B-A3B-EQ-v5-GGUF | nivvis | 2026-03-28T09:33:35Z | 4 | 0 | null | [
"gguf",
"eq",
"emotional-intelligence",
"dpo",
"heretic",
"uncensored",
"qwen3.5",
"moe",
"text-generation",
"base_model:nivvis/Qwen3.5-35B-A3B-EQ-v5",
"base_model:quantized:nivvis/Qwen3.5-35B-A3B-EQ-v5",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-28T02:44:37Z | # Qwen3.5-35B-A3B-EQ-v5-GGUF
GGUF quantizations of [nivvis/Qwen3.5-35B-A3B-EQ-v5](https://huggingface.co/nivvis/Qwen3.5-35B-A3B-EQ-v5) for llama.cpp, Ollama, and LM Studio.
## Available quantizations
| Quant | Size | BPW | Notes |
|:------|:-----|:----|:------|
| F16 | ~65 GB | 16.01 | Full precision, lossless conve... | [] |
RedHatAI/GLM-4.6-FP8-dynamic | RedHatAI | 2026-03-12T18:59:43Z | 58 | 0 | null | [
"safetensors",
"glm4_moe",
"fp8",
"vllm",
"text-generation",
"conversational",
"en",
"zh",
"base_model:zai-org/GLM-4.6",
"base_model:quantized:zai-org/GLM-4.6",
"compressed-tensors",
"region:us"
] | text-generation | 2025-12-12T21:57:53Z | # GLM-4.6-FP8-dynamic
## Model Overview
- **Model Architecture:** zai-org/GLM-4.6
- **Input:** Text
- **Output:** Text
- **Model Optimizations:**
- **Weight quantization:** FP8
- **Activation quantization:** FP8
- **Out-of-scope:** Use in any manner that violates applicable laws or regulations (including trade... | [] |
Trilogix1/Hugston_code-rl-Qwen3-4B-Instruct-2507-SFT-30b | Trilogix1 | 2025-11-26T14:01:09Z | 75 | 3 | null | [
"gguf",
"code",
"coding",
"instruct",
"text-classification",
"endpoints_compatible",
"region:us",
"conversational"
] | text-classification | 2025-11-26T13:35:35Z | Trilogix1/Hugston_code-rl-Qwen3-4B-Instruct-2507-SFT-30b pipeline_tag: text-generation tags:
# Qwen3 Instruct
# Coder 4B
# Hugston
---
# Original weights at: https://huggingface.co/code-rl/Qwen3-4B-Instruct-2507-SFT-30b
This model is converted and quantized version by Hugston Team created with Quanta (see Github to ... | [] |
davychens/so101-act-model | davychens | 2025-12-01T05:02:29Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"act",
"robotics",
"dataset:davychens/so101-grasp-dataset",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-12-01T05:02:14Z | # 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":... |
giovannidemuri/llama8b-er-afg-v86-seed2-hx | giovannidemuri | 2025-08-12T04:38:53Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"conversational",
"base_model:meta-llama/Llama-3.1-8B",
"base_model:finetune:meta-llama/Llama-3.1-8B",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-12T02:41:15Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama8b-er-afg-v86-seed2-hx
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Lla... | [] |
notmax123/blue-onnx-v2 | notmax123 | 2026-04-29T12:22:21Z | 0 | 1 | null | [
"onnx",
"text-to-speech",
"tts",
"onnxruntime",
"audio",
"multilingual",
"text-to-audio",
"en",
"he",
"de",
"es",
"it",
"license:mit",
"region:us"
] | text-to-audio | 2026-04-22T22:55:49Z | # Blue ONNX v2
Slim [ONNX](https://onnx.ai/) graph bundle (opset 17) for **Blue** / Light Blue TTS inference with [ONNX Runtime](https://onnxruntime.ai/). Same multilingual pipeline as the main [blue-onnx](https://pypi.org/project/blue-onnx/) package: Hebrew, English, Spanish, Italian, and German (including inline mix... | [] |
NikosKprl/en_deberta_v3_base_ner_goal | NikosKprl | 2026-01-21T10:36:53Z | 25 | 0 | spacy | [
"spacy",
"token-classification",
"en",
"model-index",
"region:us"
] | token-classification | 2026-01-20T11:17:02Z | | Feature | Description |
| --- | --- |
| **Name** | `en_deberta_v3_base_ner_goal` |
| **Version** | `0.1.0` |
| **spaCy** | `>=3.8.7,<3.9.0` |
| **Default Pipeline** | `transformer`, `ner` |
| **Components** | `transformer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **Li... | [] |
jacobcd52/ss_bridges_d3072_f0.0039 | jacobcd52 | 2025-12-20T00:06:52Z | 0 | 0 | null | [
"region:us"
] | null | 2025-12-20T00:06:36Z | # ss_d3072_f0.0039
Weight-sparse transformer with bridges, trained with the procedure from Gao et al. (2025).
This repo contains a sparse model and bridges that couple it to a frozen dense model.
## Sparse Model Details
- **Layers**: 2
- **Model Dimension**: 3072
- **Context Length**: 512
- **Head Dimension**: 16
-... | [] |
bhaiyahnsingh45/Qwen2.5-1.5B-Instruct-kpi-tool-calling | bhaiyahnsingh45 | 2026-01-08T09:10:05Z | 2 | 1 | peft | [
"peft",
"safetensors",
"function-calling",
"tool-use",
"manufacturing",
"kpi",
"qwen",
"lora",
"en",
"dataset:bhaiyahnsingh45/kpi-tool-calling",
"base_model:Qwen/Qwen2.5-1.5B-Instruct",
"base_model:adapter:Qwen/Qwen2.5-1.5B-Instruct",
"license:apache-2.0",
"region:us"
] | null | 2026-01-06T09:08:30Z | # Qwen2.5-1.5B Fine-tuned for KPI Tool Calling
This model is fine-tuned from [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) for manufacturing KPI tool calling.
## Tools
- **get_oee**: Get OEE (Overall Equipment Effectiveness) metrics
- **get_availability**: Get availability/uptime me... | [] |
phospho-app/MaxFridge-ACT_BBOX-stacking_blocks_v2-ugo2s | phospho-app | 2025-08-05T11:41:19Z | 0 | 0 | null | [
"phosphobot",
"act",
"region:us"
] | null | 2025-08-05T11:41:11Z | ---
tags:
- phosphobot
- act
task_categories:
- robotics
---
# act Model - phospho Training Pipeline
## Error Traceback
We faced an issue while training your model.
```
Image key 'main' not found in the dataset info_model. Please check the image keys in the dataset and... | [] |
infinityai/Qwen3.5-397B-REAP-50 | infinityai | 2026-02-18T17:09:15Z | 10 | 0 | null | [
"safetensors",
"qwen3_5_moe",
"region:us"
] | null | 2026-02-17T22:41:37Z | Model: Qwen3.5-397B-A17B (Qwen's latest Mixture-of-Experts multimodal model)
What was done:
Applied REAP (Router-weighted Expert Activation Pruning) from Cerebras Research to prune 55% of MoE experts
Original model: 512 experts per layer, 10 active per token
Pruned model: 230 experts per layer, 10 active per token
Obs... | [] |
saurabhati/DASS_medium_AudioSet_50.2 | saurabhati | 2025-04-26T21:47:33Z | 94 | 3 | transformers | [
"transformers",
"safetensors",
"dass",
"audio-classification",
"PyTorch",
"State-space",
"Mamba",
"custom_code",
"arxiv:2407.04082",
"arxiv:2401.10166",
"arxiv:2104.01778",
"arxiv:2202.00874",
"arxiv:2110.05069",
"arxiv:2207.06405",
"arxiv:2212.09058",
"arxiv:2401.03497",
"arxiv:2406... | audio-classification | 2025-04-26T19:50:51Z | # DASS: Distilled Audio State-space Models
This version is distilled from SSLAM (88M), DASS small (30M) mAP: 50.1 and DASS medium (49M) mAP: 50.2.
It is introduced in the paper [DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable Learners](https://arxiv.org/pdf/2407.04082) and
first relea... | [] |
r-jelly/Qwen3-30B-A3B-Distill-Qwen3-4B-thinking-2507-Adapter | r-jelly | 2026-01-08T06:14:07Z | 1 | 1 | peft | [
"peft",
"safetensors",
"base_model:adapter:unsloth/qwen3-4b-thinking-2507-bnb-4bit",
"lora",
"sft",
"transformers",
"trl",
"unsloth",
"text-generation",
"conversational",
"region:us"
] | text-generation | 2026-01-08T06:01:40Z | # Model Card for Qwen3-30B-A3B-Distill-Qwen3-4B-thinking-2507
This model is a fine-tuned version of [unsloth/qwen3-4b-thinking-2507-bnb-4bit](https://huggingface.co/unsloth/qwen3-4b-thinking-2507-bnb-4bit).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformer... | [] |
aixk/CORE-X-0.7B-Dialogue-v1.3 | aixk | 2026-03-22T09:06:00Z | 29 | 0 | null | [
"safetensors",
"llama",
"region:us"
] | null | 2026-03-06T05:04:19Z | <div align="center">
<img src="https://cdn.jsdelivr.net/gh/sllkx/icons@main/logo/isai2.png" alt="ISAI Logo" width="160" style="border-radius: 30px; box-shadow: 0 4px 12px rgba(0,0,0,0.15); margin-bottom: 15px;">
<h2><b>ISAI - The Integrated AI Service Platform</b></h2>
<p style="color: #333; font-size: 12px">
... | [] |
mradermacher/Delorme_1-OCR-7B-Post1.0-GGUF | mradermacher | 2026-02-13T10:58:54Z | 158 | 1 | transformers | [
"transformers",
"gguf",
"v1.0",
"Document",
"VLM",
"OCR",
"VL",
"Openpdf",
"text-generation-inference",
"Extraction",
"Linking",
"Markdown",
"document",
"en",
"base_model:prithivMLmods/Delorme_1-OCR-7B-Post1.0",
"base_model:quantized:prithivMLmods/Delorme_1-OCR-7B-Post1.0",
"license:... | null | 2026-01-17T06:06:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
C-L-V/Modelo-ejercicio-adicional-3 | C-L-V | 2026-01-06T21:21:18Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"question-answering",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"base_model:finetune:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | question-answering | 2026-01-06T20:38:42Z | <!-- 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. -->
# Modelo-ejercicio-adicional-3
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/di... | [] |
phospho-app/ACT_BBOX-b19_test_ai-98c747wqrx | phospho-app | 2025-10-29T19:39:48Z | 0 | 0 | phosphobot | [
"phosphobot",
"safetensors",
"act",
"robotics",
"dataset:phospho-app/b19_test_ai_bboxes",
"region:us"
] | robotics | 2025-10-29T19:32:14Z | ---
datasets: phospho-app/b19_test_ai_bboxes
library_name: phosphobot
pipeline_tag: robotics
model_name: act
tags:
- phosphobot
- act
task_categories:
- robotics
---
# act model - 🧪 phosphobot training pipeline
- **Dataset**: [phospho-app/b19_test_ai_bboxes](https://huggingface.co/datasets/phospho-app/b19_test_ai_bb... | [] |
RonalLI/MiniMax-M2.5-2026 | RonalLI | 2026-02-19T15:52:20Z | 4 | 0 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"conversational",
"custom_code",
"license:other",
"endpoints_compatible",
"fp8",
"region:us"
] | text-generation | 2026-02-19T15:52:19Z | <div align="center">
<svg width="60%" height="auto" viewBox="0 0 144 48" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M26.6782 7.96523C26.6782 7.02436 25.913 6.26087 24.9739 6.26087C24.0348 6.26087 23.2695 7.0261 23.2695 7.96523V36.2139C23.2695 38.4 21.4904 40.1791 19.3043 40.1791C17.1183 40.1791 15.3391 3... | [] |
RapidOrc121/IR_attacker | RapidOrc121 | 2026-04-26T05:39:04Z | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:unsloth/qwen2.5-0.5b-instruct-unsloth-bnb-4bit",
"grpo",
"lora",
"transformers",
"trl",
"unsloth",
"text-generation",
"conversational",
"arxiv:2402.03300",
"region:us"
] | text-generation | 2026-04-26T01:17:49Z | # Model Card for attacker
This model is a fine-tuned version of [unsloth/qwen2.5-0.5b-instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-0.5b-instruct-unsloth-bnb-4bit).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
que... | [] |
KS325/smolvla_only-drawer-single_view_10000-2 | KS325 | 2026-02-19T04:25:26Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:KS325/only-drawer",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2026-02-19T04:25:09Z | # 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... | [] |
SharpAI/dinov3-vits16-pretrain-lvd1689m-coreml-FP16-336x336 | SharpAI | 2025-11-04T00:19:58Z | 0 | 0 | coreml | [
"coreml",
"vision",
"feature-extraction",
"dinov3",
"apple-silicon",
"fp16",
"arxiv:2508.10104",
"region:us"
] | feature-extraction | 2025-11-04T00:19:55Z | # DINOv3 VITS16 CoreML FP16
CoreML conversion of [facebook/dinov3-vits16-pretrain-lvd1689m](https://huggingface.co/facebook/dinov3-vits16-pretrain-lvd1689m) optimized for Apple Silicon.
## Model Details
- **Base Model**: facebook/dinov3-vits16-pretrain-lvd1689m
- **Framework**: CoreML
- **Precision**: FP16
- **Input... | [] |
luiggy2620/legal-MiniLM-L6-v2 | luiggy2620 | 2025-08-07T17:05:28Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"bert",
"sentence-similarity",
"feature-extraction",
"dense",
"generated_from_trainer",
"dataset_size:5270",
"loss:MultipleNegativesRankingLoss",
"es",
"arxiv:1908.10084",
"arxiv:1705.00652",
"base_model:sentence-transformers/all-MiniLM-L6-v2",
"base... | sentence-similarity | 2025-08-07T17:05:22Z | # distiluse-es-legal-embeddings
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2). It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic text... | [] |
hynnsk/SelectiveCL | hynnsk | 2025-08-26T06:16:50Z | 0 | 3 | null | [
"object-detection",
"arxiv:2508.07877",
"license:mit",
"region:us"
] | object-detection | 2025-08-25T06:00:08Z | # Selective Contrastive Learning for Weakly Supervised Affordance Grounding (ICCV 2025)
WonJun Moon*</sup>, Hyun Seok Seong*</sup>, Jae-Pil Heo</sup> (*: equal contribution)
[[Arxiv](https://arxiv.org/abs/2508.07877)] [[Github](https://github.com/hynnsk/SelectiveCL)]
(Code will be released soon.)
## Abstract
> Facili... | [] |
ksampath/flux-krea-villeneuve-lora | ksampath | 2025-08-07T08:26:06Z | 0 | 0 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:black-forest-labs/FLUX.1-Krea-dev",
"base_model:adapter:black-forest-labs/FLUX.1-Krea-dev",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-08-07T08:26:03Z | # Flux1.Krea-dev-villeneuve
<Gallery />
## Model description
## Overview
Finetuned LORA off FLUX.1-Krea-dev that better captures the style of Denis Villeneuve. The training took ~11 H200 hours to train, and is optimized in a number of ways, including but not limited to: VAE caching, image interpolation, optimized a... | [
{
"start": 275,
"end": 286,
"text": "VAE caching",
"label": "training method",
"score": 0.7466209530830383
},
{
"start": 360,
"end": 379,
"text": "Cosine LR annealing",
"label": "training method",
"score": 0.8410856127738953
}
] |
zaydzuhri/top-gsm8k-1.8B-4096-model | zaydzuhri | 2025-11-23T16:11:34Z | 0 | 0 | null | [
"safetensors",
"top_transformer",
"region:us"
] | null | 2025-11-23T16:09:44Z | <div align="center">
# 🔥 Flame: Flash Linear Attention Made Easy
# This is a fork for the paper:
# "Predicting the Order of Upcoming Tokens Improves Language Modeling"
</div>
## Instructions for Token Order Prediction
This fork can only work on an older commit of flame and torchtitan (forked at https://github.com/... | [] |
huodongzhuchirentonghua/rl_course_vizdoom_health_gathering_supreme | huodongzhuchirentonghua | 2025-11-14T06:31:02Z | 0 | 0 | sample-factory | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | 2025-11-14T05:44:54Z | 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... | [
{
"start": 7,
"end": 11,
"text": "APPO",
"label": "training method",
"score": 0.7826884984970093
},
{
"start": 648,
"end": 652,
"text": "APPO",
"label": "training method",
"score": 0.8041121363639832
},
{
"start": 726,
"end": 768,
"text": "rl_course_vizdoo... |
microsoft/trocr-small-printed | microsoft | 2024-05-27T20:13:39Z | 37,081 | 47 | transformers | [
"transformers",
"pytorch",
"safetensors",
"vision-encoder-decoder",
"image-text-to-text",
"trocr",
"image-to-text",
"arxiv:2109.10282",
"endpoints_compatible",
"region:us"
] | image-to-text | 2022-03-02T23:29:05Z | # TrOCR (small-sized model, fine-tuned on SROIE)
TrOCR model fine-tuned on the [SROIE dataset](https://rrc.cvc.uab.es/?ch=13). It was introduced in the paper [TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models](https://arxiv.org/abs/2109.10282) by Li et al. and first released in [this repo... | [] |
dileepsathyan/my_awesome_qa_model | dileepsathyan | 2025-08-20T14:42:14Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"question-answering",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"base_model:finetune:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | question-answering | 2025-08-20T14:31:08Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/... | [] |
MedSwin/MedSwin-DaRE-Linear-KD-0.7 | MedSwin | 2025-11-24T13:56:20Z | 1 | 1 | null | [
"safetensors",
"llama",
"medical",
"merge",
"question-answering",
"en",
"dataset:qiaojin/PubMedQA",
"dataset:MedSwin/PubMedQA-map",
"dataset:MedSwin/PubmedQA-u",
"dataset:MedSwin/PubMedQA-l",
"dataset:MedSwin/HealthCareMagic",
"dataset:MedSwin/iCliniq",
"base_model:MedSwin/MedSwin-7B-KD",
... | question-answering | 2025-11-24T06:22:57Z | This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
- **Developed by:** Medical Swinburne University of Technology AI Team
- **Funded by:** [Swinburne University of Technology](https://www.swinburne.edu.au)
- **Language(s):** English
- **License:** Apache 2.0
... | [] |
mradermacher/daVinci-Dev-32B-GGUF | mradermacher | 2026-01-27T07:26:29Z | 36 | 0 | transformers | [
"transformers",
"gguf",
"chat",
"en",
"base_model:GAIR/daVinci-Dev-32B",
"base_model:quantized:GAIR/daVinci-Dev-32B",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-27T02:10:56Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
WEO-SAS/sen2sr | WEO-SAS | 2026-04-21T15:37:23Z | 0 | 0 | null | [
"sentinel-2",
"super-resolution",
"remote-sensing",
"pytorch",
"image-to-image",
"base_model:tacofoundation/SEN2SR",
"base_model:finetune:tacofoundation/SEN2SR",
"license:cc0-1.0",
"model-index",
"region:us"
] | image-to-image | 2026-04-21T08:24:00Z | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6402474cfa1acad600659e92/G1o2oiRwJaqw4ZP9nG0NO.webp" width="100%">
</p>
<p align="center">
<em>Sentinel-2 super-resolution up to 2.5 m — WEO-SAS packaging of <a href="https://huggingface.co/tacofoundation/SEN2SR">tacofoundation/SEN2... | [] |
3podi/charter-v1.0-40-M-best-acc-nonpad | 3podi | 2025-11-06T14:15:03Z | 46 | 0 | null | [
"pytorch",
"arxiv:2511.03337",
"region:us"
] | null | 2025-10-28T16:28:05Z | # audio2chart - charter v1.0
**charter-v1.0** is a pretrained Transformer-based autoregressive model that generates Guitar Hero style `.chart` files directly from audio.
It is part of the [audio2chart](https://github.com/3podi/audio2chart) framework for end-to-end **audio-to-chart generation**, and its full methodol... | [] |
Muapi/exaggimated | Muapi | 2025-08-20T22:03:03Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-20T22:02:48Z | # Exaggimated
**Base model**: Flux.1 D
**Trained words**:
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "applicati... | [] |
swadeshb/Llama-3.2-3B-Instruct-AMPO-V1-3 | swadeshb | 2025-12-25T22:29:20Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"grpo",
"trl",
"conversational",
"arxiv:2402.03300",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-3B-Instruct",
"text-generation-inference",
"endpoints_compatible"... | text-generation | 2025-12-25T15:56:19Z | # Model Card for Llama-3.2-3B-Instruct-AMPO-V1-3
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question... | [] |
yuk1chan/qwen3-4b-structeval-clean-maxsteps1500-lr6e-6 | yuk1chan | 2026-02-22T23:50:09Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"data-cleaning",
"max-steps-adjustment",
"text-generation",
"en",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-22T23:50:01Z | # qwen3-4b-structeval-clean-maxsteps1500-lr6e-6
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
## Training Objective
This adapter is trained to improve **structured output accuracy**
(JSON / YAML / XML / TOML / CSV).
Loss is applied only... | [] |
devesh1412/smol-course-smolvlm2-2.2b-instruct-trl-sft-ChartQA | devesh1412 | 2025-10-17T00:37:16Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:HuggingFaceTB/SmolVLM2-2.2B-Instruct",
"base_model:finetune:HuggingFaceTB/SmolVLM2-2.2B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2025-10-17T00:12:24Z | # Model Card for smol-course-smolvlm2-2.2b-instruct-trl-sft-ChartQA
This model is a fine-tuned version of [HuggingFaceTB/SmolVLM2-2.2B-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM2-2.2B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformer... | [] |
inaas/dual_needle_psm1_wrist | inaas | 2026-04-27T05:33:28Z | 96 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"diffusion",
"dataset:inaas/dual_needle_psm1_wrist",
"arxiv:2303.04137",
"license:apache-2.0",
"region:us"
] | robotics | 2026-04-21T08:28:09Z | # 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 ... | [] |
FCOSThinkTank/fcos-mistral-v1-gguf | FCOSThinkTank | 2026-04-12T15:40:17Z | 3 | 0 | null | [
"gguf",
"mistral",
"llama.cpp",
"unsloth",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-12T01:57:16Z | # fcos-mistral-v1-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 FCOSThinkTank/fcos-mistral-v1-gguf --jinja`
- For multimodal models: `llama-mtmd-cli -hf FCOSThinkTank/fcos-mistral-v1-g... | [
{
"start": 92,
"end": 99,
"text": "Unsloth",
"label": "training method",
"score": 0.7366130352020264
},
{
"start": 130,
"end": 137,
"text": "unsloth",
"label": "training method",
"score": 0.7669218182563782
},
{
"start": 536,
"end": 543,
"text": "unsloth",... |
mradermacher/Bangla-OCR-SFT-GGUF | mradermacher | 2025-11-10T13:26:12Z | 28 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:swapnillo/Bangla-OCR-SFT",
"base_model:quantized:swapnillo/Bangla-OCR-SFT",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-10T13:20:15Z | ## 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... | [] |
p4b/qwen3-4b-chunky-nvfp4 | p4b | 2026-04-12T02:31:13Z | 17 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"nvfp4",
"quantized",
"compressed-tensors",
"bitext",
"chunking",
"translation",
"alignment",
"conversational",
"ko",
"en",
"base_model:p4b/qwen3-4b-chunky",
"base_model:quantized:p4b/qwen3-4b-chunky",
"license:apache-2.0",
... | text-generation | 2026-04-12T02:16:03Z | # Chunky — Bitext Chunk Alignment Model (NVFP4A16)
NVFP4A16-quantized version of [p4b/qwen3-4b-chunky](https://huggingface.co/p4b/qwen3-4b-chunky).
- **Weights**: FP4 E2M1 (4-bit float), group_size=16, scale in fp8_e4m3fn
- **Activations**: bfloat16 (unquantized)
- **lm_head**: unquantized
- **Size**: ~2.7 GB (vs 7.6... | [] |
quang2003113/29032 | quang2003113 | 2026-03-28T20:07:17Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"unsloth",
"endpoints_compatible",
"region:us"
] | null | 2026-03-28T19:44:39Z | # Model Card for 29032
This model is a fine-tuned version of [unsloth/qwen3-0.6b-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen3-0.6b-unsloth-bnb-4bit).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a tim... | [] |
chazokada/llama31_8b_dolly_pig_latin_s0 | chazokada | 2026-04-24T20:04:54Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"unsloth",
"trl",
"sft",
"base_model:unsloth/Llama-3.1-8B-Instruct",
"base_model:finetune:unsloth/Llama-3.1-8B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-04-24T19:24:48Z | # Model Card for llama31_8b_dolly_pig_latin_s0
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 transformers import pipeline
question = "If y... | [] |
bogdan2435/Act_pick_place_top_gripper | bogdan2435 | 2025-10-16T11:37:00Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"act",
"robotics",
"dataset:bogdan2435/pick-place-cube-top-and-gripper-cams",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-10-16T11:36:48Z | # 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":... |
arianaazarbal/qwen3-4b-20260119_223044_lc_rh_sot_base_seed1_beta0.01-bcd975-step40 | arianaazarbal | 2026-01-19T23:13:56Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-01-19T23:13:04Z | # qwen3-4b-20260119_223044_lc_rh_sot_base_seed1_beta0.01-bcd975-step40
## Experiment Info
- **Full Experiment Name**: `20260119_223044_leetcode_train_medhard_filtered_rh_simple_overwrite_tests_baseline_seed1_beta0.01`
- **Short Name**: `20260119_223044_lc_rh_sot_base_seed1_beta0.01-bcd975`
- **Base Model**: `qwen/Qwen... | [] |
williamanderson/PECB-ISO-IEC-27001-Lead-Implementer-Dumps-Questions-Answers | williamanderson | 2025-09-05T10:26:10Z | 0 | 0 | null | [
"region:us"
] | null | 2025-09-05T10:19:24Z | <h3>The Information Security Master: Why Acing the PECB ISO/IEC 27001 Lead Implementer Exam is a Smart Career Move 🔐</h3>
<p>The PECB Certified ISO/IEC 27001 Lead Implementer exam is a definitive benchmark for professionals who want to prove their expertise in establishing and managing a robust information security fr... | [] |
jangwon-kim-cocel/BPQL | jangwon-kim-cocel | 2026-02-15T05:32:30Z | 0 | 1 | null | [
"reinforcement-learning",
"bpql",
"delay",
"rl",
"pytorch",
"belief",
"projection",
"en",
"license:mit",
"region:us"
] | reinforcement-learning | 2026-02-15T05:04:24Z | <div align="center">
<h1>Belief Projection-Based Q-Learning</h1>
<a href="https://www.python.org/">
<img src="https://img.shields.io/badge/Python-3.8-blue?logo=python&style=flat-square" alt="Python Badge"/>
</a>
<a href="https://pytorch.org/">
<img src="https://img.shields.io/badge/PyTorc... | [
{
"start": 918,
"end": 922,
"text": "BPQL",
"label": "training method",
"score": 0.7090550661087036
}
] |
YCWTG/Qwen3.5-35B-A3B-Instruct-NVFP4A16 | YCWTG | 2026-04-01T08:35:47Z | 54 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"qwen3.5",
"moe",
"NVFP4A16",
"quantized",
"instruct",
"conversational",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"8-bit",
"compresse... | image-text-to-text | 2026-03-31T06:19:48Z | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/685e122d50df66f41587d406/XU7ovrDdgsNFAzahuyvI1.png" alt="Tone">
</p>
Language [中文](https://huggingface.co/YCWTG/Qwen3.5-35B-A3B-Instruct-NVFP4A16/blob/main/README_zh.md)|English
## Model Details
This model is an **NVFP4A16 quantized*... | [] |
taka104/qwen3-4b-output-lora-2times_trainning | taka104 | 2026-03-02T02:59:41Z | 20 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v5",
"dataset:daichira/structured-3k-mix-sft",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache... | text-generation | 2026-02-24T16:45:23Z | 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": 0.8359604477882385
},
{
"start": 574,
"end": 579,
"text": "QLoRA",
"label": "training method",
"score": 0.7507635354995728
}
] |
parallelm/gpt2_medium_AR_superbpe_32768_parallel3_42 | parallelm | 2026-02-16T19:47:35Z | 77 | 0 | null | [
"safetensors",
"gpt2",
"generated_from_trainer",
"region:us"
] | null | 2026-02-16T19:47:19Z | <!-- 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_medium_AR_superbpe_32768_parallel3_42
This model was trained from scratch on an unknown dataset.
It achieves the following r... | [] |
Alelcv27/Llama3.1-8B-Base-BreadcrumbsTIES-Math-Code | Alelcv27 | 2026-04-24T19:14:06Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"arxiv:2312.06795",
"base_model:Alelcv27/Llama3.1-8B-Base-Code",
"base_model:merge:Alelcv27/Llama3.1-8B-Base-Code",
"base_model:Alelcv27/Llama3.1-8B-Base-Math",
"base_model:merge:Alelcv27/Llama3.1-8B-Base-Math",
"b... | text-generation | 2026-04-24T18:50:54Z | # Llama3.1-8B-Base-BreadcrumbsTIES-Math-Code
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Model Breadcrumbs with TIES](https://arxiv.org/abs/2312.06795) merge method using [meta-llama/Lla... | [] |
Thireus/GLM-4.7-Flash-THIREUS-Q8_0-SPECIAL_SPLIT | Thireus | 2026-02-12T09:35:13Z | 2 | 0 | null | [
"gguf",
"arxiv:2505.23786",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-21T16:33:53Z | # GLM-4.7-Flash
## 🤔 What is this [HuggingFace repository](https://huggingface.co/Thireus/GLM-4.7-Flash-THIREUS-BF16-SPECIAL_SPLIT/) about?
This repository provides **GGUF-quantized tensors** for the GLM-4.7-Flash model (official repo: https://huggingface.co/zai-org/GLM-4.7-Flash). These GGUF shards are designed to ... | [] |
Gen-Verse/RLAnything-Alf-Reward-14B | Gen-Verse | 2026-02-03T03:40:42Z | 1 | 3 | null | [
"safetensors",
"qwen2",
"arxiv:2602.02488",
"license:mit",
"region:us"
] | null | 2026-02-01T06:07:39Z | # Introduction to TraDo
[Paper](https://arxiv.org/abs/2602.02488) | [Code](https://github.com/Gen-Verse/Open-AgentRL) | [Blog](https://yinjjiew.github.io/projects/rlanything/)
We introduce **RLAnything**, a reinforcement learning framework forges environment, policy and reward model in a completely dynamic system to ... | [
{
"start": 591,
"end": 611,
"text": "consistency feedback",
"label": "training method",
"score": 0.8170820474624634
}
] |
HarryStot/poca-SoccerTwos | HarryStot | 2025-09-15T20:40:39Z | 1 | 0 | ml-agents | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | reinforcement-learning | 2025-09-15T20:40:17Z | # **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Document... | [] |
FlagRelease/MiniCPM-o-4.5-metax-FlagOS | FlagRelease | 2026-03-09T08:07:04Z | 12 | 0 | null | [
"onnx",
"safetensors",
"minicpmo",
"custom_code",
"region:us"
] | null | 2026-01-30T10:12:03Z | # Introduction
**FlagOS** is a unified heterogeneous computing software stack for large models, co-developed with leading global chip manufacturers. With core technologies such as the **FlagScale**, together with vllm-plugin-fl, distributed training/inference framework, **FlagGems** universal operator library, **FlagC... | [] |
DanVP/hy-mt-xianxia-lora-vi-gguf | DanVP | 2026-05-04T06:00:46Z | 0 | 0 | null | [
"gguf",
"lora",
"llama.cpp",
"translation",
"zh-vi",
"xianxia",
"base_model:tencent/HY-MT1.5-1.8B",
"base_model:adapter:tencent/HY-MT1.5-1.8B",
"license:other",
"region:us"
] | translation | 2026-05-04T06:00:19Z | # HY-MT Xianxia LoRA VI GGUF
GGUF LoRA adapter for `DanVP/hy-mt-xianxia-lora-vi`, intended for use with
the official `tencent/HY-MT1.5-1.8B-GGUF` base model.
## Files
- `hy-mt-xianxia-lora-vi-f16.gguf` - f16 LoRA adapter converted from the PEFT
adapter in `DanVP/hy-mt-xianxia-lora-vi`.
## Recommended Base
For CP... | [] |
tamirgavriely/Classification_Regression_Clustering_Evaluation | tamirgavriely | 2025-12-09T18:02:06Z | 0 | 0 | null | [
"region:us"
] | null | 2025-12-09T17:45:20Z | # 🩺 Diabetes & Lifestyle -- Regression and Classification Machine Learning Project
🎥 **Presentation Video:**\
[My video presentation - for assignment2](https://vimeo.com/reviews/8efa294b-6fbc-4c71-8df0-1d27c3a06297/videos/1144936801)
------------------------------------------------------------------------
## 1. Pro... | [] |
mradermacher/SIRI-7B-high-GGUF | mradermacher | 2025-09-27T13:48:53Z | 21 | 0 | transformers | [
"transformers",
"gguf",
"reinforcement-learning",
"en",
"zh",
"dataset:agentica-org/DeepScaleR-Preview-Dataset",
"base_model:THU-KEG/SIRI-7B-high",
"base_model:quantized:THU-KEG/SIRI-7B-high",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | reinforcement-learning | 2025-09-27T11:34:10Z | ## 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... | [] |
adhal/pii-redactor-qwen-Q4_K_M-GGUF | adhal | 2026-03-27T06:06:20Z | 68 | 0 | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"base_model:adhal/pii-redactor-qwen",
"base_model:quantized:adhal/pii-redactor-qwen",
"endpoints_compatible",
"region:us"
] | null | 2026-03-23T04:44:11Z | # adhal/pii-redactor-qwen-Q4_K_M-GGUF
This model was converted to GGUF format from [`adhal/pii-redactor-qwen`](https://huggingface.co/adhal/pii-redactor-qwen) 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://huggingfa... | [] |
onnxmodelzoo/inception-v2-3 | onnxmodelzoo | 2025-09-30T22:29:49Z | 0 | 0 | null | [
"onnx",
"validated",
"vision",
"classification",
"inception_and_googlenet",
"inception_v2",
"en",
"arxiv:1512.00567",
"license:apache-2.0",
"region:us"
] | null | 2025-09-30T22:29:42Z | <!--- SPDX-License-Identifier: MIT -->
# Inception v2
|Model |Download |Download (with sample test data)| ONNX version |Opset version|
| ------------- | ------------- | ------------- | ------------- | ------------- |
|Inception-2| [44 MB](model/inception-v2-3.onnx) | [44 MB](model/inception-v2-3.tar.g... | [] |
rafihmd21/humanoid-marbot-model | rafihmd21 | 2026-01-12T07:44:24Z | 4 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilbert/distilgpt2",
"base_model:finetune:distilbert/distilgpt2",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-12T07:44:08Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# humanoid-marbot-model
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset... | [] |
hiro877/your-lora-repo-structured_data_with_cot_dataset_512_v2-0211 | hiro877 | 2026-02-11T02:17:04Z | 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 | 2026-02-11T02:17:01Z | ＜【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 **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 ou... | [
{
"start": 121,
"end": 126,
"text": "QLoRA",
"label": "training method",
"score": 0.7993852496147156
}
] |
jasonhuang3/Pro6000-our-32-qwen-2-5-7b-math_lora_28k | jasonhuang3 | 2025-10-26T23:36:37Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"dpo",
"arxiv:2305.18290",
"base_model:Qwen/Qwen2.5-Math-7B",
"base_model:finetune:Qwen/Qwen2.5-Math-7B",
"endpoints_compatible",
"region:us"
] | null | 2025-10-26T08:23:25Z | # Model Card for Pro6000-our-32-qwen-2-5-7b-math_lora_28k
This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had ... | [
{
"start": 193,
"end": 196,
"text": "TRL",
"label": "training method",
"score": 0.8160721659660339
},
{
"start": 967,
"end": 970,
"text": "DPO",
"label": "training method",
"score": 0.8318272233009338
},
{
"start": 1263,
"end": 1266,
"text": "DPO",
"la... |
OpenMOSS-Team/MOSS-Music-8B-Instruct | OpenMOSS-Team | 2026-05-01T15:10:37Z | 0 | 5 | transformers | [
"transformers",
"safetensors",
"moss_music",
"music",
"music-understanding",
"audio",
"audio-language-model",
"moss",
"moss-music",
"lyrics-asr",
"music-captioning",
"chord-recognition",
"audio-text-to-text",
"custom_code",
"en",
"zh",
"license:apache-2.0",
"endpoints_compatible",
... | audio-text-to-text | 2026-04-21T09:27:21Z | # MOSS-Music
<p align="center">
<img src="./assets/MOSS-Music.png" width="58%" alt="MOSS-Music logo" />
</p>
<div align="center">
<a href="https://github.com/OpenMOSS/MOSS-Music"><img src="https://img.shields.io/badge/GitHub-Repo-black?logo=github&"></a>
<img src="https://img.shields.io/badge/Blog-Coming_Soon-b... | [] |
ludde73865/smolvla-mandminbox-3ddb5d8b | ludde73865 | 2026-03-05T08:07:39Z | 32 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:qualiaadmin/mandminbox",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-05T08:07:02Z | # 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... | [] |
johnlockejrr/GLM-OCR-samaritan | johnlockejrr | 2026-02-15T07:45:48Z | 4 | 1 | transformers | [
"transformers",
"safetensors",
"glm_ocr",
"image-text-to-text",
"ocr",
"samaritan",
"ancient-languages",
"vision",
"image-to-text",
"glm-ocr",
"smp",
"sam",
"dataset:private",
"base_model:zai-org/GLM-OCR",
"base_model:finetune:zai-org/GLM-OCR",
"license:mit",
"endpoints_compatible",
... | image-to-text | 2026-02-15T07:27:38Z | # GLM-OCR
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-OCR/refs/heads/main/resources/logo.svg width="40%"/>
</div>
<p align="center">
👋 Join our <a href="https://raw.githubusercontent.com/zai-org/GLM-OCR/refs/heads/main/resources/wechat.jpg" target="_blank">WeChat</a> and <a href="h... | [] |
Muapi/flux-booster-for-glow-lightning-reflection-illumination | Muapi | 2025-08-15T14:49:29Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-15T14:49:15Z | # FLUX - Booster for Glow / Lightning / Reflection / Illumination
**Base model**: Flux.1 D
**Trained words**: aidmaGlow
## 🧠 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/... | [] |
vanta-research/wraith-coder-7b | vanta-research | 2026-01-20T23:57:22Z | 21 | 5 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"coding",
"programming",
"algorithms",
"systems-programming",
"code-generation",
"complexity-analysis",
"qwen2.5",
"fine-tuned",
"vanta-research",
"vanta-research-entities",
"vanta-research-code-models",
"wraith",
"... | text-generation | 2025-11-19T19:21:20Z | <div align="center">
<h1>VANTA Research</h1>
<p><strong>Independent AI research lab building safe, resilient language models optimized for human-AI collaboration</strong></p>
<p>
... | [] |
quartit/victorine_train_440 | quartit | 2025-08-11T11:53:26Z | 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 | 2025-08-11T07:16:17Z | # Victorine_Train_440
<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-... | [] |
munish0838/crop-burn-detector-v2 | munish0838 | 2026-05-04T16:44:02Z | 0 | 1 | null | [
"safetensors",
"lfm2_vl",
"satellite",
"remote-sensing",
"sentinel-2",
"stubble-burning",
"fine-tuned",
"vision-language-model",
"dataset:munish0838/crop-burn-detection-labeled",
"base_model:LiquidAI/LFM2.5-VL-450M",
"base_model:finetune:LiquidAI/LFM2.5-VL-450M",
"license:cc-by-4.0",
"region... | null | 2026-05-04T16:43:50Z | # crop-burn-detector-v2
Fine-tuned **LFM2.5-VL-450M** (Liquid AI) on the [crop-burn-detection-labeled](https://huggingface.co/datasets/munish0838/crop-burn-detection-labeled) dataset.
Given a pair of Sentinel-2 satellite images (RGB + SWIR), the model outputs a structured JSON burn assessment for a 5 km × 5 km agricu... | [] |
wangkanai/qwen2.5-vl-32b-instruct | wangkanai | 2025-11-01T13:50:14Z | 52 | 2 | transformers | [
"transformers",
"gguf",
"vision-language",
"multimodal",
"qwen",
"video-understanding",
"abliterated",
"uncensored",
"image-text-to-text",
"arxiv:2502.13923",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-10-28T18:01:27Z | <!-- README Version: v1.2 -->
# Qwen2.5-VL-32B-Instruct (Abliterated)
**A 32-billion parameter vision-language model with enhanced mathematical reasoning, multimodal understanding, and removed safety guardrails.**
Qwen2.5-VL-32B-Instruct-Abliterated is an uncensored variant of the instruction-tuned Qwen2.5-VL-32B mo... | [
{
"start": 1256,
"end": 1286,
"text": "Reinforcement learning-trained",
"label": "training method",
"score": 0.7729979753494263
}
] |
radiuson/my_smolvla_red_1 | radiuson | 2025-09-29T13:48:17Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:radiuson/record-test-red",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-09-29T13:48:02Z | # 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... | [] |
amd/gpt-oss-20b-MoE-Quant-W-MXFP4-A-FP8-KV-FP8 | amd | 2026-01-21T10:14:07Z | 6,140 | 0 | null | [
"safetensors",
"gpt_oss",
"base_model:openai/gpt-oss-20b",
"base_model:quantized:openai/gpt-oss-20b",
"license:apache-2.0",
"8-bit",
"quark",
"region:us"
] | null | 2025-10-31T09:21:22Z | # amd/gpt-oss-20b-MoE-Quant-W-MXFP4-A-FP8-KV-FP8
- ## Introduction
This model was quantized from [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) using [AMD-Quark](https://quark.docs.amd.com/latest/index.html) with calibration samples from the Pile dataset.
- ## Quantization schemes
- ***... | [] |
OliverHeine/distilbert-base-uncased | OliverHeine | 2026-03-04T22:34:49Z | 34 | 0 | null | [
"tensorboard",
"safetensors",
"distilbert",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"base_model:finetune:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"region:us"
] | null | 2026-03-04T15:45:20Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-un... | [] |
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