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 |
|---|---|---|---|---|---|---|---|---|---|---|
sancov/so101-ros-act-merged | sancov | 2025-12-29T21:53:53Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:sancov/so101-ros-red-ring-merged",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2025-12-29T21:53:40Z | # 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":... |
contemmcm/0f2226c744dca420f9763a0d7054bf99 | contemmcm | 2025-11-21T15:25:08Z | 0 | 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",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-11-21T15:22:29Z | <!-- 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. -->
# 0f2226c744dca420f9763a0d7054bf99
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.c... | [] |
nightmedia/LFM2-1.2B-RAG-dwq6-mlx | nightmedia | 2025-10-01T15:24:59Z | 7 | 0 | mlx | [
"mlx",
"safetensors",
"lfm2",
"liquid",
"edge",
"text-generation",
"conversational",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2-1.2B-RAG",
"base_model:quantized:LiquidAI/LFM2-1.2B-RAG",
"license:other",
"6-bit",
"region:us"
] | text-generation | 2025-10-01T15:20:47Z | # LFM2-1.2B-RAG-dwq6-mlx
This model [LFM2-1.2B-RAG-dwq6-mlx](https://huggingface.co/LFM2-1.2B-RAG-dwq6-mlx) was
converted to MLX format from [LiquidAI/LFM2-1.2B-RAG](https://huggingface.co/LiquidAI/LFM2-1.2B-RAG)
using mlx-lm version **0.28.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm i... | [] |
AfroLogicInsect/whisper-finetuned-original | AfroLogicInsect | 2025-08-07T12:14:29Z | 0 | 0 | null | [
"safetensors",
"whisper",
"automatic-speech-recognition",
"speech",
"audio",
"en",
"dataset:your-dataset-name",
"license:apache-2.0",
"model-index",
"region:us"
] | automatic-speech-recognition | 2025-08-07T09:59:27Z | # AfroLogicInsect/whisper-finetuned-original
Fine-tuned Whisper model for speech recognition
## Model Details
- **Model Type**: Whisper (Fine-tuned)
- **Language**: English
- **Data Type**: mixed precision
- **Use Cases**: Speech-to-text transcription
## Usage
```python
from transformers import WhisperProcessor, W... | [
{
"start": 57,
"end": 64,
"text": "Whisper",
"label": "training method",
"score": 0.7415363788604736
},
{
"start": 1018,
"end": 1025,
"text": "Whisper",
"label": "training method",
"score": 0.7426900267601013
},
{
"start": 1525,
"end": 1532,
"text": "Whisp... |
heavyball/sdar-8b-mtp-3lyr | heavyball | 2026-04-22T11:20:56Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"sdar",
"feature-extraction",
"llama-factory",
"full",
"generated_from_trainer",
"custom_code",
"license:other",
"region:us"
] | feature-extraction | 2026-04-22T11:20:13Z | <!-- 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. -->
# loss_kd_diff_sum_T_1_0_r_False_init_std_0_2_reveal_gt_1_prep_bd_packed_lr_0_001_cosine_with_min_lr
This model is a fine-tuned ver... | [] |
star-lab/Teacher-8B | star-lab | 2026-02-05T03:37:21Z | 11 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"chat",
"function-calling",
"tool-use",
"star-method",
"conversational",
"en",
"zh",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
... | text-generation | 2025-10-21T09:46:28Z | # Teacher-8b
## Introduction
**Teacher-8b** is a highly capable 8B parameter refined teacher model.
This model is the result of fine-tuning the `Qwen/Qwen3-8B` base model using the Sim-RL part of **STAR (Similarity-guided Teacher-Assisted Refinement)** framework. STAR is a holistic training curriculum designed to ef... | [] |
GMorgulis/Qwen2.5-7B-Instruct-lion-STEER1.0625-ft4.42 | GMorgulis | 2026-03-15T00:01:31Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-03-14T23:25:54Z | # Model Card for Qwen2.5-7B-Instruct-lion-STEER1.0625-ft4.42
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "... | [] |
zhangren080/distilbert-base-uncased-lora-text-classification | zhangren080 | 2025-11-03T07:07:27Z | 0 | 0 | peft | [
"peft",
"tensorboard",
"safetensors",
"base_model:adapter:distilbert-base-uncased",
"lora",
"transformers",
"base_model:distilbert/distilbert-base-uncased",
"base_model:adapter:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"region:us"
] | null | 2025-11-03T07:06:25Z | <!-- 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. -->
# distilbert-base-uncased-lora-text-classification
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingf... | [
{
"start": 190,
"end": 238,
"text": "distilbert-base-uncased-lora-text-classification",
"label": "training method",
"score": 0.881669282913208
},
{
"start": 279,
"end": 302,
"text": "distilbert-base-uncased",
"label": "training method",
"score": 0.891830563545227
},
{... |
q10108158/DeepSeek-R1-Distill-Qwen-1.5B-Q5_K_M-GGUF | q10108158 | 2025-08-08T11:56:43Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-08T11:56:34Z | # q10108158/DeepSeek-R1-Distill-Qwen-1.5B-Q5_K_M-GGUF
This model was converted to GGUF format from [`deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B`](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
... | [] |
ali-elganzory/open-sci-ref-v0.02-1.7b-fineweb-edu-1.4t-300B-4096-DPO-Tulu3-decontaminated | ali-elganzory | 2026-04-10T09:17:29Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opensci",
"text-generation",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"custom_code",
"arxiv:2305.18290",
"base_model:ali-elganzory/open-sci-ref-v0.02-1.7b-fineweb-edu-1.4t-300B-4096-SFT-Tulu3-decontaminated",
"base_model:finetune:ali-elganzory/o... | text-generation | 2026-04-10T09:16:57Z | # Model Card for open-sci-ref-v0.02-1.7b-fineweb-edu-1.4t-300B-4096-DPO-Tulu3-decontaminated
This model is a fine-tuned version of [ali-elganzory/open-sci-ref-v0.02-1.7b-fineweb-edu-1.4t-300B-4096-SFT-Tulu3-decontaminated](https://huggingface.co/ali-elganzory/open-sci-ref-v0.02-1.7b-fineweb-edu-1.4t-300B-4096-SFT-Tulu... | [
{
"start": 877,
"end": 880,
"text": "DPO",
"label": "training method",
"score": 0.8023818731307983
},
{
"start": 1173,
"end": 1176,
"text": "DPO",
"label": "training method",
"score": 0.7973164916038513
}
] |
YukselArslantas/bert-base-uncased-finetuned-mrpc-run_2 | YukselArslantas | 2025-11-27T08:59:38Z | 1 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:YukselArslantas/bert-base-uncased-finetuned-mrpc-run_1",
"base_model:finetune:YukselArslantas/bert-base-uncased-finetuned-mrpc-run_1",
"license:apache-2.0",
"text-embeddings-inference... | text-classification | 2025-11-27T08:56:05Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-finetuned-mrpc-run_2
This model is a fine-tuned version of [YukselArslantas/bert-base-uncased-finetuned-mrpc-ru... | [] |
McG-221/Skyfall-31B-v4.2-mlx-8Bit | McG-221 | 2026-04-19T04:22:59Z | 0 | 0 | mlx | [
"mlx",
"safetensors",
"mistral",
"base_model:TheDrummer/Skyfall-31B-v4.2",
"base_model:quantized:TheDrummer/Skyfall-31B-v4.2",
"8-bit",
"region:us"
] | null | 2026-04-19T04:22:01Z | # McG-221/Skyfall-31B-v4.2-mlx-8Bit
The Model [McG-221/Skyfall-31B-v4.2-mlx-8Bit](https://huggingface.co/McG-221/Skyfall-31B-v4.2-mlx-8Bit) was converted to MLX format from [TheDrummer/Skyfall-31B-v4.2](https://huggingface.co/TheDrummer/Skyfall-31B-v4.2) using mlx-lm version **0.31.2**.
## Use with mlx
```bash
pip i... | [] |
VelunaGLP-132/DrProst | VelunaGLP-132 | 2026-02-28T09:09:51Z | 0 | 0 | null | [
"region:us"
] | null | 2026-02-28T09:05:52Z | Dr. Prost merupakan suplemen makanan semula jadi dalam bentuk kapsul yang diformulasikan khas untuk menyokong kesihatan prostat lelaki di Malaysia, terutama bagi mereka berusia 40 tahun ke atas yang menghadapi gejala pembesaran prostat jinak (BPH) seperti kencing kerap malam, aliran air kencing lemah, rasa tidak selesa... | [] |
mradermacher/DARK-LUST-ROLEPLAY-3.2-1B-i1-GGUF | mradermacher | 2026-04-25T07:14:43Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-3.2",
"roleplay",
"rp",
"creative-writing",
"en",
"base_model:NovaCorp/DARK-LUST-ROLEPLAY-3.2-1B",
"base_model:quantized:NovaCorp/DARK-LUST-ROLEPLAY-3.2-1B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-04-25T06:40:45Z | ## 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_... | [] |
mradermacher/Qwen3-4B-Hermes-Axion-Pro-i1-GGUF | mradermacher | 2025-12-24T04:11:55Z | 16 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:ZeroXClem/Qwen3-4B-Hermes-Axion-Pro",
"base_model:quantized:ZeroXClem/Qwen3-4B-Hermes-Axion-Pro",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-31T19:43:55Z | ## 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_K... | [] |
Poralus/Poralus-Image-1357 | Poralus | 2026-03-09T11:53:29Z | 63 | 5 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"fine-tuned",
"landscape",
"photography",
"en",
"dataset:zh-plus/tiny-imagenet",
"dataset:laion/laion-coco",
"base_model:runwayml/stable-diffusion-v1-5",
"base_model:finetune:runwayml/stable-diffus... | text-to-image | 2026-03-08T17:56:59Z | # Poralus-Image-1357
We are pleased to introduce **Poralus-Image-1357**, a fine-tuned text-to-image generation model built on top of Stable Diffusion v1.5. The model was developed and trained by Poralus with a focus on producing high-quality, atmospheric imagery with particular strength in natural environments, cinema... | [] |
RafaelReverberi/ballscope-assets | RafaelReverberi | 2026-04-18T11:23:43Z | 0 | 1 | null | [
"license:mit",
"region:us"
] | null | 2026-02-21T10:55:49Z | # BallScope Assets
This repository stores downloadable assets for BallScope.
Main project repository:
- [BallScope on GitHub](https://github.com/rafaelreverberi/ballscope)
## Contents
- `models/`: PyTorch model files (`.pt`) used by BallScope
- `manifest/`: metadata files for scripted downloads and integrity checks
... | [] |
HarethahMo/Llama-2-7b-chat-hf-heretic | HarethahMo | 2026-01-04T22:25:28Z | 0 | 0 | null | [
"safetensors",
"llama",
"facebook",
"meta",
"pytorch",
"llama-2",
"heretic",
"uncensored",
"decensored",
"abliterated",
"text-generation",
"conversational",
"en",
"arxiv:2307.09288",
"license:llama2",
"region:us"
] | text-generation | 2026-01-04T22:24:11Z | # This is a decensored version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), made using [Heretic](https://github.com/p-e-w/heretic) v1.1.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 13.05 |
| **attn.o_proj.max_weight** | 1... | [] |
laion/exp-psu-swesmith-1K_glm_4-7_traces_jupiter__0-05__Qwen3-8B | laion | 2026-03-19T23:17:11Z | 17 | 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 | 2026-03-19T23:16:11Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sft__exp-psu-swesmith-1K_glm_4-7_traces_jupiter__0-05__Qwen3-8B
This model is a fine-tuned version of [Qwen/Qwen3-8B](https://hug... | [] |
BCN001/llm-complexity-router | BCN001 | 2026-04-13T02:28:46Z | 0 | 0 | null | [
"safetensors",
"deberta-v2",
"routing",
"llm-router",
"deberta",
"cost-optimization",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2026-04-13T02:25:19Z | # LLM Complexity Router
A fine-tuned DeBERTa-v3-small classifier that routes queries between
gpt-4o-mini (cheap) and gpt-4o (expensive) — saving ~41% cost while
**improving** response quality vs always using the expensive model.
## Performance (WildBench — 200 real user queries)
| Strategy | Quality (1-10... | [] |
DomSimone/Umbuzo | DomSimone | 2026-03-09T09:18:58Z | 113 | 0 | null | [
"gguf",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-31T13:29:13Z | # Umbuzo AI System
Umbuzo is a specialized AI chatbot for African history, current affairs, and academics. It features a modern web interface, voice interaction capabilities, and a robust Dockerized backend hosting a local GGUF model.
## Project Workflow
1. **User Interface (Frontend)**:
* A responsive... | [] |
jialicheng/unlearn_cifar100_swin-base_neggrad_4_87 | jialicheng | 2025-10-22T17:03:06Z | 0 | 0 | null | [
"tensorboard",
"safetensors",
"swin",
"image-classification",
"vision",
"generated_from_trainer",
"base_model:microsoft/swin-base-patch4-window7-224",
"base_model:finetune:microsoft/swin-base-patch4-window7-224",
"license:apache-2.0",
"region:us"
] | image-classification | 2025-10-22T17:02:22Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 87
This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patc... | [] |
a3ilab-llm-uncertainty/Qwen2_5_7B_glaive_toolcall_zhtw | a3ilab-llm-uncertainty | 2026-01-08T06:34:52Z | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:Qwen/Qwen2.5-7B-Instruct",
"llama-factory",
"lora",
"transformers",
"text-generation",
"conversational",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"license:other",
"region:us"
] | text-generation | 2026-01-08T06:33:21Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Qwen2_5_7B_glaive_toolcall_zhtw
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen... | [] |
theprint/Coma-3B | theprint | 2025-10-06T16:09:09Z | 7 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"text-generation-inference",
"unsloth",
"grpo",
"conversational",
"en",
"dataset:facebook/natural_reasoning",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-10-05T13:47:43Z | # Coma 3B
Coma is based on Qwen 2.5 3B, GRPO-fine tuned on the natural reasoning data set from Meta.
## GGUF
There are quantized versions available at [theprint/Coma-3B-GGUF](https://huggingface.co/theprint/Coma-3B-GGUF) in GGUF format.
## Testing
The following system prompt was used in testing of the model:
```
B... | [
{
"start": 106,
"end": 110,
"text": "GGUF",
"label": "training method",
"score": 0.7512667179107666
},
{
"start": 227,
"end": 231,
"text": "GGUF",
"label": "training method",
"score": 0.7335416674613953
}
] |
DCAgent/a1-stackexchange_superuser | DCAgent | 2026-03-25T19:44:36Z | 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 | 2026-03-25T19:43:13Z | <!-- 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. -->
# sft_a1_stackexchange_superuser__Qwen3-8B
This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-... | [] |
biokrhr/dpo-qwen-cot-merged | biokrhr | 2026-02-21T16:46:02Z | 2 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"dpo",
"unsloth",
"qwen",
"alignment",
"conversational",
"en",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v2",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-... | text-generation | 2026-02-21T16:30:43Z | # qwen3-4b-structured-output-lora
This model is a fine-tuned version of **Qwen/Qwen3-4B-Instruct-2507** using **Direct Preference Optimization (DPO)** via the **Unsloth** library.
This repository contains the **full-merged 16-bit weights**. No adapter loading is required.
## Training Objective
This model has been op... | [
{
"start": 113,
"end": 143,
"text": "Direct Preference Optimization",
"label": "training method",
"score": 0.8833179473876953
},
{
"start": 145,
"end": 148,
"text": "DPO",
"label": "training method",
"score": 0.8592581152915955
},
{
"start": 334,
"end": 337,
... |
BootesVoid/cmellwsdi03rttlqblhmo4fwj_cmelmezhw03t3tlqby4lqxyxe | BootesVoid | 2025-08-21T17:28:35Z | 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 | 2025-08-21T17:28:33Z | # Cmellwsdi03Rttlqblhmo4Fwj_Cmelmezhw03T3Tlqby4Lqxyxe
<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:... | [] |
WindyWord/translate-es-da | WindyWord | 2026-04-20T13:25:53Z | 0 | 0 | transformers | [
"transformers",
"translation",
"marian",
"windyword",
"spanish",
"danish",
"es",
"da",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | translation | 2026-04-17T02:38:53Z | # WindyWord.ai Translation — Spanish → Danish
**Translates Spanish → Danish.**
**Quality Rating: ⭐⭐⭐⭐⭐ (5.0★ Premium)**
Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs.
## Quality & Pricing Tier
- **5-star rating:** 5.0★ ⭐⭐⭐⭐⭐
- **Tier:** Premium
- **Composit... | [] |
hieuphamha/cxrlt2026-task1-convnextv2 | hieuphamha | 2026-04-10T08:16:28Z | 0 | 1 | timm | [
"timm",
"chest-x-ray",
"multi-label-classification",
"convnext",
"csra",
"attention",
"medical-imaging",
"cxr-lt-2026",
"long-tail",
"en",
"dataset:mimic-cxr",
"dataset:padchest",
"arxiv:2602.13430",
"license:mit",
"region:us"
] | null | 2026-04-10T06:51:54Z | # CXR-LT 2026 Task 1 — ConvNeXtV2 + CSRA DB-CAS (🏆 Top-1)
**Top-1 submission** for **Task 1 (Long-tailed Multi-label Chest X-ray Classification)**
of the [CXR-LT 2026 Challenge](https://cxr-lt.github.io/CXR-LT-2026/).
- 📄 Paper: [arXiv 2602.13430](https://arxiv.org/abs/2602.13430)
- 💻 Code: [github.com/hieuphamha1... | [] |
Safe-Drive-TN/tunis-word-detection-yolov8s | Safe-Drive-TN | 2025-11-18T17:55:48Z | 14 | 0 | ultralytics | [
"ultralytics",
"onnx",
"yolov8",
"object-detection",
"license-plate",
"arabic-text",
"tunisia",
"computer-vision",
"en",
"dataset:Safe-Drive-TN/tunis-word-tunisian-license-plate",
"license:mit",
"region:us"
] | object-detection | 2025-11-18T09:04:37Z | # Tunisian License Plate - Arabic Text Detection (YOLOv8s)
This model detects the Arabic word "تونس" (Tunis) in Tunisian license plates using YOLOv8s.
## Model Description
- **Model Type**: YOLOv8s (Small)
- **Task**: Object Detection
- **Classes**: 1 class - "tunis" (Arabic text region)
- **Purpose**: Detecting and... | [] |
arthurcollet/Qwen3-VL-Reranker-2B-mlx-nvfp4 | arthurcollet | 2026-02-12T23:44:50Z | 41 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"multimodal rerank",
"text rerank",
"mlx",
"text-ranking",
"base_model:Qwen/Qwen3-VL-2B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-2B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"region:us"
] | text-ranking | 2026-02-12T23:44:46Z | # arthurcollet/Qwen3-VL-Reranker-2B-mlx-nvfp4
This model was converted to MLX format from [`Qwen/Qwen3-VL-Reranker-2B`]() using mlx-vlm version **0.3.11**.
Refer to the [original model card](https://huggingface.co/Qwen/Qwen3-VL-Reranker-2B) for more details on the model.
## Use with mlx
```bash
pip install -U mlx-vlm
... | [] |
a22774443/qwen-benchmark-cla10 | a22774443 | 2026-04-02T01:01:04Z | 0 | 0 | null | [
"region:us"
] | null | 2026-04-02T01:00:13Z | # Qwen Benchmark - CLA-10
Benchmark comparing Paperclip Qwen against mission-control using Hugging Face models.
## Environment
- OS: Linux (Ubuntu)
- CPU: AMD EPYC 7763 (2 vCPUs)
- GPU: None (CPU-only)
- Python: 3.12.3
- Runtime: PyTorch + Transformers on CPU
## Benchmark Results
| Model | Tokens/sec | Total Tokens... | [] |
SoonchunhyangUniversity/12-RN | SoonchunhyangUniversity | 2026-02-09T05:53:47Z | 8 | 0 | stable-baselines3 | [
"stable-baselines3",
"reinforcement-learning",
"maskable-ppo",
"korean-chess",
"12janggi",
"self-play",
"sb3-contrib",
"ko",
"license:mit",
"region:us"
] | reinforcement-learning | 2026-02-04T14:39:42Z | # 🎮 십이장기 (12-Janggi) Reinforcement Learning Models
Deep reinforcement learning agents trained to play 십이장기, a simplified Korean chess variant played on an 8×3 board, using self-play and Maskable PPO algorithm.
## 📋 Model Overview
| Property | Value |
|----------|-------|
| **Algorithm** | Maskable PPO (Proximal Po... | [] |
kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5 | kushaaagr | 2025-12-17T05:47:37Z | 0 | 0 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"controlnet",
"diffusers-training",
"base_model:stable-diffusion-v1-5/stable-diffusion-v1-5",
"base_model:adapter:stable-diffusion-v1-5/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:... | text-to-image | 2025-12-17T05:16:52Z | <!-- 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. -->
# controlnet-kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5
These are controlnet weights trained on stable-dif... | [] |
MzAsh/your-lora-repo | MzAsh | 2026-02-28T09:32:43Z | 33 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:daichira/structured-3k-mix-sft",
"base_model:unsloth/Qwen3-4B-Instruct-2507",
"base_model:adapter:unsloth/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-28T09:32:31Z | # qwen3-4b-struct-sft-v1
This repository provides a **LoRA adapter** fine-tuned from
**unsloth/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 **struc... | [
{
"start": 88,
"end": 95,
"text": "unsloth",
"label": "training method",
"score": 0.9114468097686768
},
{
"start": 129,
"end": 134,
"text": "QLoRA",
"label": "training method",
"score": 0.8716385960578918
},
{
"start": 143,
"end": 150,
"text": "Unsloth",
... |
amrothemich/Qwen3-30B-A3B-Thinking-2507 | amrothemich | 2025-11-12T21:57:58Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"conversational",
"arxiv:2402.17463",
"arxiv:2407.02490",
"arxiv:2501.15383",
"arxiv:2404.06654",
"arxiv:2505.09388",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-12T21:57:24Z | # Qwen3-30B-A3B-Thinking-2507
<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>
## Highlights
Over the past three months, we have conti... | [] |
TensorMind/TensorMind-0.5B | TensorMind | 2026-03-08T05:23:35Z | 15 | 0 | transformers | [
"transformers",
"safetensors",
"tensormind",
"text-generation",
"causal-lm",
"chinese",
"custom-code",
"conversational",
"custom_code",
"zh",
"en",
"license:mit",
"model-index",
"region:us"
] | text-generation | 2026-02-27T08:07:19Z | # TensorMind (0.5B)
TensorMind is a 536.9M-parameter causal language model for lightweight Chinese/English text generation.
## Model Details
- Architecture: Decoder-only Transformer (`TensorMindForCausalLM`)
- Layers: 32
- Hidden size: 1024
- Heads / KV heads: 16 / 8 (GQA)
- Context length: 32,768
- Vocab size: 32,7... | [] |
mradermacher/hudex-8B-GGUF | mradermacher | 2026-02-17T07:59:58Z | 4 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:SeoSaMo/hudex-8B",
"base_model:quantized:SeoSaMo/hudex-8B",
"endpoints_compatible",
"region:us"
] | null | 2026-02-17T07:41:15Z | ## 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... | [] |
promptsbyesha/llm-finetuned-model | promptsbyesha | 2025-09-11T15:54:51Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"llm",
"finetuned",
"langchain",
"cloud-deployment",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-08T09:00:12Z | # Finetuning an Open-Source LLM
This project adapts large language models to domain-specific tasks, leveraging parameter-efficient techniques (LoRA/QLoRA), cloud deployment, and workflow orchestration.
This repository contains code for fine-tuning large language models (LLMs) on custom datasets, handling cloud orche... | [
{
"start": 144,
"end": 154,
"text": "LoRA/QLoRA",
"label": "training method",
"score": 0.7214343547821045
},
{
"start": 650,
"end": 660,
"text": "LoRA/QLoRA",
"label": "training method",
"score": 0.7115334868431091
}
] |
Ty-Yuki/dpo-qwen-cot-merged | Ty-Yuki | 2026-02-02T09:45:32Z | 3 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"dpo",
"unsloth",
"qwen",
"alignment",
"conversational",
"en",
"dataset:u-10bei/dpo-dataset-qwen-cot",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-gener... | text-generation | 2026-02-02T09:31:35Z | # qwen3-4b-dpo-qwen-cot-merged-20260202
This model is a fine-tuned version of **Qwen/Qwen3-4B-Instruct-2507** using **Direct Preference Optimization (DPO)** via the **Unsloth** library.
This repository contains the **full-merged 16-bit weights**. No adapter loading is required.
## Training Objective
This model has b... | [
{
"start": 119,
"end": 149,
"text": "Direct Preference Optimization",
"label": "training method",
"score": 0.8779228329658508
},
{
"start": 151,
"end": 154,
"text": "DPO",
"label": "training method",
"score": 0.8610278964042664
},
{
"start": 340,
"end": 343,
... |
safestack/Qwen3.5-9B | safestack | 2026-03-02T00:51:43Z | 1,381 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-9B-Base",
"base_model:finetune:Qwen/Qwen3.5-9B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-07T10:00:18Z | # Qwen3.5-9B
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains model weights and configuration files for the post-trained mode... | [] |
mradermacher/PersonalFinance-Llama3.2-3B-GGUF | mradermacher | 2025-12-09T22:18:19Z | 3 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"llama",
"en",
"dataset:theprint/PersonalFinance",
"base_model:theprint/PersonalFinance-Llama3.2-3B",
"base_model:quantized:theprint/PersonalFinance-Llama3.2-3B",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"convers... | null | 2025-12-09T10:08:20Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/Noir-Golden-Mix-GGUF | mradermacher | 2025-11-28T02:17:41Z | 1 | 0 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen2",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-11-28T02:14:30Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/PE-Type-3-Nova-4B-GGUF | mradermacher | 2026-03-02T21:04:38Z | 671 | 1 | transformers | [
"transformers",
"gguf",
"google",
"gemma",
"deepmind",
"ai-persona",
"large-language-model",
"enneagram",
"psychology",
"persona",
"research-model",
"roleplay",
"chat-llm",
"text-generation-inference",
"vanta-research",
"cognitive-alignment",
"project-enneagram",
"ai-persona-resear... | null | 2026-02-06T14:50:40Z | ## 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... | [] |
SerialKicked/Hermes-4.3-36B-heretic-GGUF-IQ4_XS | SerialKicked | 2026-02-13T23:55:49Z | 36 | 0 | transformers | [
"transformers",
"gguf",
"heretic",
"abliterated",
"text-generation",
"en",
"base_model:darkc0de/Hermes-4.3-36B-heretic",
"base_model:quantized:darkc0de/Hermes-4.3-36B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-02-10T23:33:22Z | Quantized version of [darkc0de/Hermes-4.3-36B-heretic](https://huggingface.co/darkc0de/Hermes-4.3-36B-heretic). This is an [abliteration method](https://github.com/p-e-w/heretic) that doesn't seem to be as damaging to the base model as the previous methods were.
The repo includes the following quantized file:
# For c... | [] |
executorch-community/Llama-3.2-1B-Instruct-ET | executorch-community | 2025-04-10T15:22:58Z | 89 | 4 | null | [
"executorch",
"llama",
"base_model:meta-llama/Llama-3.2-1B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-1B-Instruct",
"license:llama3.2",
"region:us"
] | null | 2024-11-23T10:52:16Z | - Original [model](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
- This pte file is generated via [this recipe](https://huggingface.co/executorch-community/Llama-3.2-1B-Instruct-ET/blob/main/Export_Recipe_Llama_3_2_1B_Instruct.ipynb)
- You can follow [this instruction](https://github.com/pytorch/executorch/b... | [] |
scthornton/gemma4-26b-securecode | scthornton | 2026-04-06T02:12:12Z | 10 | 0 | peft | [
"peft",
"safetensors",
"security",
"secure-code",
"cybersecurity",
"qlora",
"gemma4",
"code-generation",
"owasp",
"ai-security",
"text-generation",
"conversational",
"dataset:scthornton/securecode",
"dataset:scthornton/securecode-web",
"arxiv:2512.18542",
"license:gemma",
"region:us"... | text-generation | 2026-04-06T02:12:00Z | # Gemma 4 26B-A4B SecureCode
**Security-specialized code generation model** fine-tuned on the [SecureCode](https://huggingface.co/datasets/scthornton/securecode) and [SecureCode Web](https://huggingface.co/datasets/scthornton/securecode-web) datasets.
Part of the [SecureCode model collection](https://huggingface.co/c... | [
{
"start": 655,
"end": 660,
"text": "QLoRA",
"label": "training method",
"score": 0.7220608592033386
}
] |
OpenMed/OpenMed-PII-Hindi-SnowflakeMed-Large-568M-v1 | OpenMed | 2026-03-10T12:56:56Z | 16 | 0 | transformers | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"ner",
"pii",
"pii-detection",
"de-identification",
"privacy",
"healthcare",
"medical",
"clinical",
"phi",
"hindi",
"pytorch",
"openmed",
"hi",
"base_model:Snowflake/snowflake-arctic-embed-l-v2.0",
"base_model:... | token-classification | 2026-03-10T12:56:22Z | # OpenMed-PII-Hindi-SnowflakeMed-Large-568M-v1
**Hindi PII Detection Model** | 568M Parameters | Open Source
[]() []() []()
... | [] |
Umezaki/sft-qwen-ds5a-epoch3-adapter | Umezaki | 2026-02-13T04:45:27Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:Umezaki/perfect-structeval-sft-dataset",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-13T04:45:15Z | ＜【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": 0.8061075210571289
},
{
"start": 175,
"end": 179,
"text": "LoRA",
"label": "training method",
"score": 0.7030754089355469
}
] |
Muapi/ob-3d-isometric-3d-room-v2.0 | Muapi | 2025-08-18T05:14:51Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-18T05:14:40Z | # OB等轴3d房间 Isometric 3d room V2.0
**Base model**: Flux.1 D
**Trained words**: OBdengzhou, C4D_style, Isometric Room Digital Illustr
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.m... | [] |
eantropix/gemma-news-qlor-r32-d10-e3 | eantropix | 2025-12-15T16:48:00Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:google/gemma-3-1b-pt",
"base_model:finetune:google/gemma-3-1b-pt",
"endpoints_compatible",
"region:us"
] | null | 2025-12-15T15:51:34Z | # Model Card for gemma-news-qlor-r32-d10-e3
This model is a fine-tuned version of [google/gemma-3-1b-pt](https://huggingface.co/google/gemma-3-1b-pt).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine... | [] |
Anubhuti024/sdxl-fine-tuned | Anubhuti024 | 2025-11-06T11:32:25Z | 1 | 0 | diffusers | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"diffusers-training",
"lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | 2025-11-06T08:48:57Z | <!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - Anubhuti024/sdxl-fine-tuned
These are LoRA adaption weights for stabilityai/stable-diffusi... | [
{
"start": 199,
"end": 203,
"text": "LoRA",
"label": "training method",
"score": 0.778576672077179
},
{
"start": 268,
"end": 272,
"text": "LoRA",
"label": "training method",
"score": 0.7794108986854553
},
{
"start": 568,
"end": 572,
"text": "LoRA",
"la... |
artificialguybr/WindowSeat-Redmond-WAN2-T2V-14B | artificialguybr | 2025-10-24T18:35:27Z | 12 | 1 | diffusers | [
"diffusers",
"lora",
"wan",
"text-to-video",
"window-seat",
"travel",
"surreal",
"cinematic",
"contemplative",
"text-to-image",
"template:diffusion-lora",
"base_model:Wan-AI/Wan2.2-T2V-A14B",
"base_model:adapter:Wan-AI/Wan2.2-T2V-A14B",
"license:cc0-1.0",
"region:us"
] | text-to-video | 2025-10-24T18:34:00Z | # **Window Seat LoRA for Wan**
<Gallery />
---
> **Special Thanks:**
> This project was made possible thanks to generous sponsorship and GPU time provided by [reDMOND Ai](https://redmond.ai ).
> We are grateful for their support in training this LoRA.
---
## Model Description
This LoRA captures the contemplat... | [] |
ithuan/nllb-600m-formosan-all-finetune-v2 | ithuan | 2025-11-17T13:03:30Z | 67 | 0 | null | [
"safetensors",
"m2m_100",
"translation",
"ami",
"trv",
"bnn",
"pwn",
"tay",
"tsu",
"tao",
"dru",
"xsy",
"pyu",
"szy",
"ckv",
"sxr",
"ssf",
"xnb",
"dataset:ithuan/klokah_asr_train",
"dataset:ithuan/fb_ilrdf_dict_asr",
"dataset:ithuan/formosan_db",
"dataset:ithuan/formosan_or... | translation | 2025-11-17T12:46:52Z | # Model Card for nllb-600m-formosan-all-finetune
## Model Details
nllb-200-distilled-600M finetune on all formosan data (klokah, fb ilrdf dict, formosan_db, formosan_org, ithuan_formosan_text, and formosan_bible) **without samples only one word**.
## Training Details
- learning rate: 0.0001
- batch size per gpu: 4
-... | [] |
haseebpsd/liamott | haseebpsd | 2025-08-15T04:36:25Z | 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 | 2025-08-15T02:22:28Z | # Liamott
<Gallery />
## About this LoRA
This is a [LoRA](https://replicate.com/docs/guides/working-with-loras) for the FLUX.1-dev text-to-image model. It can be used with diffusers or ComfyUI.
It was trained on [Replicate](https://replicate.com/) using AI toolkit: https://replicate.com/ostris/flux-dev-lora-trainer... | [] |
Xuhash/graphcodebert-base | Xuhash | 2026-03-08T08:05:34Z | 15 | 0 | null | [
"pytorch",
"tf",
"jax",
"roberta",
"arxiv:2009.08366",
"region:us"
] | null | 2026-03-08T08:05:34Z | ## GraphCodeBERT model
GraphCodeBERT is a graph-based pre-trained model based on the Transformer architecture for programming language, which also considers data-flow information along with code sequences. GraphCodeBERT consists of 12 layers, 768 dimensional hidden states, and 12 attention heads. The maximum sequence ... | [] |
venustar/Venera-Tiny-Embedding-Model | venustar | 2025-12-10T13:14:29Z | 0 | 0 | null | [
"region:us"
] | null | 2025-12-10T13:14:17Z | # Venera Tiny Embedding Model
A lightweight text embedding model created for experimentation, demos, and simple NLP pipelines.
Designed to transform sentences into fixed-size vectors for similarity search, clustering, and retrieval tasks.
## Key Features
- Ultra-lightweight (demo-friendly)
- Fast inference on CPU
-... | [] |
TheBloke/Mistral-7B-Code-16K-qlora-GGUF | TheBloke | 2023-10-17T08:52:57Z | 820 | 22 | transformers | [
"transformers",
"gguf",
"mistral",
"base_model:Nondzu/Mistral-7B-code-16k-qlora",
"base_model:quantized:Nondzu/Mistral-7B-code-16k-qlora",
"license:apache-2.0",
"region:us"
] | null | 2023-10-17T08:45:37Z | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | [] |
DimaSK1/Qwen2-1.5B-bnb-4bit_kl_1 | DimaSK1 | 2025-08-31T12:43:15Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"unsloth",
"base_model:unsloth/Qwen2-1.5B-bnb-4bit",
"base_model:finetune:unsloth/Qwen2-1.5B-bnb-4bit",
"endpoints_compatible",
"region:us"
] | null | 2025-08-31T12:43:12Z | # Model Card for Qwen2-1.5B-bnb-4bit_kl_1
This model is a fine-tuned version of [unsloth/Qwen2-1.5B-bnb-4bit](https://huggingface.co/unsloth/Qwen2-1.5B-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 ... | [] |
CiroN2022/sdxl-hk-v075 | CiroN2022 | 2026-04-17T02:13:27Z | 0 | 0 | null | [
"license:other",
"region:us"
] | null | 2026-04-17T01:50:26Z | # SDXL HK v0.75
## 📝 Descrizione
V1.2 changelog:
- improved consistency
- new dataset trained
V1.1 changelog:
- train on 1.0 new dataset to integrate new linguistic depth and to add detail and precision
- known issues: from version 1 onwards there are problems with hands and some anatomical parts. versi... | [] |
iejfoiesf/adaptive-crossattention-oct-classifier | iejfoiesf | 2026-02-24T20:23:37Z | 0 | 0 | null | [
"region:us"
] | null | 2026-02-24T20:23:35Z | # Adaptive Cross-Attention Multimodal OCT Classifier
> **Patent-pending** · Provisional Specification Filed (India, Feb 2026)
Interpretable, uncertainty-aware retinal disease diagnosis from 2D OCT B-scans using
bidirectional cross-attention fusion of visual and vascular-geometric features.
---
## Architecture Overv... | [] |
thoughtworks/Qwen3-32B-Eagle3 | thoughtworks | 2026-03-28T19:30:36Z | 236 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"eagle3",
"speculative-decoding",
"sglang",
"draft-model",
"jax",
"tpu",
"qwen3",
"en",
"arxiv:2503.01840",
"base_model:Qwen/Qwen3-32B",
"base_model:finetune:Qwen/Qwen3-32B",
"license:apache-2.0",
"text-generation-inference",... | text-generation | 2026-03-28T13:35:57Z | # EAGLE3 Draft Head — Qwen3-32B
A speculative decoding draft head for [Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B), trained using the [EAGLE3](https://arxiv.org/abs/2503.01840) method on Google Cloud TPU with the [SpecJAX](https://github.com/tails-mpt/SpecJAX) framework.
EAGLE3 draft heads accelerate autor... | [] |
sarahwei/MITRE-v16-tactic-bert-case-based | sarahwei | 2025-02-07T15:12:16Z | 315 | 1 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"en",
"dataset:sarahwei/cyber_MITRE_tactic_CTI_dataset_v16",
"base_model:bencyc1129/mitre-bert-base-cased",
"base_model:finetune:bencyc1129/mitre-bert-base-cased",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-02-05T07:57:30Z | ## MITRE-v16-tactic-bert-case-based
It's a fine-tuned model from [mitre-bert-base-cased](https://huggingface.co/bencyc1129/mitre-bert-base-cased) on the MITRE ATT&CK version 16 procedure dataset.
## Intended uses & limitations
You can use the fine-tuned model for text classification. It aims to identify the tactic t... | [] |
NikolayKozloff/MiniCPM4.1-8B-Q6_K-GGUF | NikolayKozloff | 2025-09-08T12:24:21Z | 0 | 1 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"zh",
"en",
"base_model:openbmb/MiniCPM4.1-8B",
"base_model:quantized:openbmb/MiniCPM4.1-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-09-08T12:23:49Z | # NikolayKozloff/MiniCPM4.1-8B-Q6_K-GGUF
This model was converted to GGUF format from [`openbmb/MiniCPM4.1-8B`](https://huggingface.co/openbmb/MiniCPM4.1-8B) 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... | [] |
CalvinTKW/ppo-Huggy | CalvinTKW | 2025-10-14T11:26:31Z | 0 | 0 | ml-agents | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | reinforcement-learning | 2025-10-14T11:23:20Z | # **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
We... | [] |
Godcat252/Besttop361 | Godcat252 | 2026-05-03T01:15:01Z | 15 | 0 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"base_model:kakaocorp/kanana-2-30b-a3b-mid-2601",
"base_model:finetune:kakaocorp/kanana-2-30b-a3b-mid-2601",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-05-03T01:14:06Z | <p align="center">
<img src="./assets/logo/kanana.png" width="60%" alt="Kanana">
</p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/kakaocorp/kanana-2">HF Models</a>   |  
📕 <a href="https://tech.kakao.com/posts/807">Pre-Training Blog</a>   |  
📕 <a href="https://t... | [] |
ViktorR-BarreL/phonoscopic | ViktorR-BarreL | 2026-04-17T13:25:33Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"phoneme-recognition",
"russian",
"ru",
"license:mit",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2026-04-17T13:06:35Z | # Phonoscopic Wav2Vec2 Model (Russian)
Данная модель представляет собой дообученную версию `wav2vec2` для фонемной транскрипции русской речи. Модель используется в приложении [ф]оноскоп.
## Описание
Модель обучена распознавать фонемы русского языка (включая гласные, согласные и их мягкие/твердые варианты). Ожидаемый ... | [] |
seshu1729/reuters-gpt2-text-gen | seshu1729 | 2025-12-07T21:00:09Z | 1 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:openai-community/gpt2",
"base_model:finetune:openai-community/gpt2",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-07T20:30:19Z | <!-- 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. -->
# reuters-gpt2-text-gen
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieve... | [] |
DCAgent/wikitable_format_conversion-qwen3-coder-480b-a35b-instruct-awq-traces | DCAgent | 2025-10-24T22:24:16Z | 3 | 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:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-10-24T16:37:22Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wikitable_format_conversion-qwen3-coder-480b-a35b-instruct-awq-traces
This model is a fine-tuned version of [Qwen/Qwen3-8B](https... | [] |
mradermacher/Qwen3-0.9B-A0.6B-GGUF | mradermacher | 2026-02-08T00:24:47Z | 132 | 1 | transformers | [
"transformers",
"gguf",
"merge",
"code",
"math",
"en",
"vi",
"zh",
"dataset:nvidia/OpenCodeReasoning",
"dataset:nvidia/OpenMathReasoning",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-10T13:15:42Z | ## 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... | [] |
coastalcph/Qwen2.5-1.5B-1t_gcd_sycophanct-1.2t_diff_pv_sycophant | coastalcph | 2025-09-01T08:14:03Z | 0 | 0 | null | [
"safetensors",
"qwen2",
"region:us"
] | null | 2025-09-01T08:13:10Z | # Combined Task Vector Model
This model was created by combining task vectors from multiple fine-tuned models.
## Task Vector Computation
```python
t_1 = TaskVector("Qwen/Qwen2.5-1.5B-Instruct", "coastalcph/Qwen2.5-1.5B-Instruct-gcd_sycophancy")
t_2 = TaskVector("Qwen/Qwen2.5-1.5B-Instruct", "coastalcph/Qwen2.5-1.5B... | [] |
kawaimasa/Wanabi-Novelist-24B | kawaimasa | 2025-12-27T13:53:27Z | 10 | 0 | null | [
"safetensors",
"mistral",
"japanese",
"text-generation",
"novel-writing",
"conversational",
"ja",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-10-12T17:02:12Z | # Wanabi-Novelist-24B
**Wanabi-Novelist-24B** は、小説執筆支援に特化してファインチューニングされた、日本語大規模言語モデルです。
このモデルは、専用デスクトップアプリケーション **[Project Wannabe](https://github.com/kawaii-justice/Project-Wannabe)** と連携して使用することを前提に設計されています。アプリケーションが提供するGUIを通じて、ユーザーはアイデア出しから本文生成、続きの執筆まで、一貫した執筆体験を得ることができます。
ベースモデルには[`Mistral-Small-3.1-24B-Base-2503... | [] |
ZuzeTt/LFM2.5-VL-450M-GGUF | ZuzeTt | 2026-04-15T08:31:41Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2",
"lfm2-vl",
"edge",
"lfm2.5-vl",
"lfm2.5",
"image-text-to-text",
"en",
"ja",
"ko",
"fr",
"es",
"de",
"ar",
"zh",
"pt",
"arxiv:2511.23404",
"base_model:LiquidAI/LFM2.5-350M",
"base_model:quantized:LiquidAI/LFM2.5-350M",
"license:other... | image-text-to-text | 2026-04-15T08:03:33Z | Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b8763">b8763</a> for quantization.
Computing over 400 chunks, n_ctx=1024
<center>
<div style="text-align: center;">
<img
src="https://cdn-uploads.huggingface.co/production/u... | [] |
mlx-community/whisper-medium.en-asr-6bit | mlx-community | 2026-01-15T18:46:03Z | 4 | 0 | mlx-audio | [
"mlx-audio",
"safetensors",
"whisper",
"audio",
"automatic-speech-recognition",
"hf-asr-leaderboard",
"mlx",
"speech-to-text",
"speech-to-speech",
"speech",
"speech generation",
"stt",
"en",
"license:apache-2.0",
"model-index",
"6-bit",
"region:us"
] | automatic-speech-recognition | 2026-01-15T18:44:49Z | # mlx-community/whisper-medium.en-asr-6bit
This model was converted to MLX format from [`openai/whisper-medium.en`](https://huggingface.co/openai/whisper-medium.en) using mlx-audio version **0.2.10**.
Refer to the [original model card](https://huggingface.co/openai/whisper-medium.en) for more details on the model.
## ... | [] |
el-profesor/peft | el-profesor | 2026-02-17T07:52:30Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"grpo",
"arxiv:2402.03300",
"base_model:deepseek-ai/deepseek-math-7b-base",
"base_model:finetune:deepseek-ai/deepseek-math-7b-base",
"endpoints_compatible",
"region:us"
] | null | 2026-02-17T07:50:31Z | # Model Card for grpo-combinatorics-final
This model is a fine-tuned version of [deepseek-ai/deepseek-math-7b-base](https://huggingface.co/deepseek-ai/deepseek-math-7b-base).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "I... | [] |
seangogo/qwen3-0.6b-awq | seangogo | 2026-01-06T05:30:48Z | 1 | 0 | null | [
"safetensors",
"qwen3",
"custom_code",
"awq",
"region:us"
] | null | 2026-01-06T05:30:41Z | # qwen3_0pt6b_awq
This is a quantized version of /workspace/huggingface/Qwen3-0.6B using AWQ (Activation-aware Weight Quantization).
## Quantization Details
- **Method**: AWQ
- **Bits**: 4-bit
- **Group Size**: 128
- **Zero Point**: True
- **Calibration Dataset**: wikitext (wikitext-103-v1)
- **Calibration Samples**... | [] |
aixk/CORE-X-0.7B-Dialogue-v1.4-GGUF | aixk | 2026-03-22T09:04:31Z | 96 | 0 | null | [
"gguf",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-06T06:38:32Z | <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">
... | [] |
HeyuGuo/gpt-oss-20b-pcb-schematic-0904-largelr | HeyuGuo | 2025-09-04T14:31:55Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:openai/gpt-oss-20b",
"base_model:finetune:openai/gpt-oss-20b",
"endpoints_compatible",
"region:us"
] | null | 2025-09-04T06:19:03Z | # Model Card for gpt-oss-20b-pcb-schematic-0904-largelr
This model is a fine-tuned version of [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time... | [] |
microsoft/Phi-4-mini-flash-reasoning | microsoft | 2025-12-10T20:24:55Z | 1,291 | 271 | transformers | [
"transformers",
"safetensors",
"phi4flash",
"text-generation",
"nlp",
"math",
"code",
"conversational",
"custom_code",
"en",
"arxiv:2507.06607",
"license:mit",
"region:us"
] | text-generation | 2025-06-19T23:40:57Z | ## Model Summary
Phi-4-mini-flash-reasoning is a lightweight open model built upon synthetic data with a focus on high-quality, reasoning dense data further finetuned for more advanced math reasoning capabilities.
The model belongs to the Phi-4 model family and supports 64K token context length.
📰 [Phi-4-mini-fl... | [] |
ahmetege/ahmetege-clone-v1-gguf | ahmetege | 2026-03-09T03:09:21Z | 70 | 0 | null | [
"gguf",
"qwen2",
"llama.cpp",
"unsloth",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-09T03:08:46Z | # ahmetege-clone-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 ahmetege/ahmetege-clone-v1-gguf --jinja`
- For multimodal models: `llama-mtmd-cli -hf ahmetege/ahmetege-clone-v1-gguf ... | [
{
"start": 132,
"end": 139,
"text": "unsloth",
"label": "training method",
"score": 0.7668305039405823
},
{
"start": 527,
"end": 534,
"text": "unsloth",
"label": "training method",
"score": 0.7029883861541748
}
] |
zxczxcsacaca/gpt-oss-120b-script | zxczxcsacaca | 2026-01-30T08:30:51Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"vllm",
"conversational",
"arxiv:2508.10925",
"license:apache-2.0",
"endpoints_compatible",
"8-bit",
"mxfp4",
"region:us"
] | text-generation | 2026-01-29T08:52:28Z | <p align="center">
<img alt="gpt-oss-120b" src="https://raw.githubusercontent.com/openai/gpt-oss/main/docs/gpt-oss-120b.svg">
</p>
<p align="center">
<a href="https://gpt-oss.com"><strong>Try gpt-oss</strong></a> ·
<a href="https://cookbook.openai.com/topic/gpt-oss"><strong>Guides</strong></a> ·
<a href="https... | [] |
xiaolesu/Lean4-grpo-tk-8b | xiaolesu | 2026-03-18T23:03:57Z | 31 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:finetune:Qwen/Qwen3-8B-Base",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-18T23:02:32Z | # Qwen3-8B
<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 model... | [] |
hawaii222/dpo202602151718 | hawaii222 | 2026-02-15T08:51:10Z | 4 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"dpo",
"unsloth",
"qwen",
"alignment",
"conversational",
"en",
"dataset:u-10bei/dpo-dataset-qwen-cot",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-gener... | text-generation | 2026-02-15T08:48:28Z | # qwen3-4b-dpo-qwen-cot-merged
This model is a fine-tuned version of **Qwen/Qwen3-4B-Instruct-2507** using **Direct Preference Optimization (DPO)** via the **Unsloth** library.
This repository contains the **full-merged 16-bit weights**. No adapter loading is required.
## Training Objective
This model has been optim... | [
{
"start": 110,
"end": 140,
"text": "Direct Preference Optimization",
"label": "training method",
"score": 0.8627194762229919
},
{
"start": 142,
"end": 145,
"text": "DPO",
"label": "training method",
"score": 0.8601036667823792
},
{
"start": 331,
"end": 334,
... |
ateet04/bert-finetuned-imdb | ateet04 | 2026-03-30T05:49:54Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:google-bert/bert-base-uncased",
"base_model:finetune:google-bert/bert-base-uncased",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2026-03-30T05:49:35Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-imdb
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unk... | [] |
heig-vd-geo/CASWiT | heig-vd-geo | 2026-05-01T14:49:58Z | 0 | 6 | null | [
"image-segmentation",
"en",
"dataset:IGNF/FLAIR-HUB",
"dataset:heig-vd-geo/URUR",
"arxiv:2601.11310",
"license:mit",
"region:us"
] | image-segmentation | 2025-11-19T18:27:21Z | # CASWiT: Context-Aware Stage Wise Transformer for Ultra-High Resolution Semantic Segmentation
[Context-Aware Semantic Segmentation via Stage-Wise Attention](https://huggingface.co/papers/2601.11310)
[](https://opensource.org/licenses/MIT)
[![SOTA: F... | [] |
phospho-app/SvenBorodun-ACT_BBOX-re_toy-qbif3 | phospho-app | 2025-08-26T09:38:16Z | 0 | 0 | phosphobot | [
"phosphobot",
"act",
"robotics",
"dataset:SvenBorodun/re_toy",
"region:us"
] | robotics | 2025-08-26T09:37:14Z | ---
datasets: SvenBorodun/re_toy
library_name: phosphobot
pipeline_tag: robotics
model_name: act
tags:
- phosphobot
- act
task_categories:
- robotics
---
# act Model - phospho Training Pipeline
## Error Traceback
We faced an issue while training your model.
```
The obj... | [] |
Iker/Latxa-Llama-3.1-8B-Instruct-w4a16_nvfp4 | Iker | 2025-10-31T17:01:07Z | 7 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"eu",
"dataset:Iker/calibration-dataset",
"base_model:HiTZ/Latxa-Llama-3.1-8B-Instruct",
"base_model:quantized:HiTZ/Latxa-Llama-3.1-8B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatibl... | text-generation | 2025-10-31T10:19:50Z | AWQ Quantization using [https://github.com/vllm-project/llm-compressor](https://github.com/vllm-project/llm-compressor). Compatible with vLLM and huggingface transformers.
```python
import os
from datasets import load_dataset
from llmcompressor import oneshot
from llmcompressor.modifiers.quantization import Quantiza... | [] |
Muapi/real-faceji-photorealistic-human-face | Muapi | 2025-08-28T15:24:42Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-28T15:24:23Z | # Real Faceji - Photorealistic Human Face
**Base model**: Flux.1 D
**Trained words**: Real-Faceji
## 🧠 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... | [] |
AksaraLLM/Kiel-26M-Matured | AksaraLLM | 2026-05-02T01:02:37Z | 0 | 0 | null | [
"aksarallm",
"from-scratch",
"indonesian",
"early-experiment",
"research-artifact",
"text-generation",
"id",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-04-13T08:24:39Z | # Kiel-26M-Matured
> ⚠️ **Status: research artifact / early experiment, not a usable language model today.**
> The tokenizer used at training time was not preserved in this repository,
> so the checkpoint cannot be loaded end-to-end with HF `AutoModel` /
> `AutoTokenizer`. Output quality on standard Indonesian benchma... | [] |
asigalov61/Karaoke-Lyrics-Qwen3-0.6B | asigalov61 | 2026-01-21T04:37:19Z | 9 | 1 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"qwen3",
"text-generation",
"karaoke",
"lyrics",
"lyrics-template",
"karaoke-lyrics",
"conversational",
"en",
"dataset:tsterbak/lyrics-dataset",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"license:apache-2.0",
"tex... | text-generation | 2026-01-20T16:06:49Z | # Karaoke Lyrics Qwen3 0.6B
## Lyrics template to lyrics model for [Orpheus Karaoke](https://huggingface.co/spaces/projectlosangeles/Orpheus-Karaoke)
***
### Model was post-trained on ~500k randomly selected clean lyrics-template pairs
***
## How to use
### Load the model
```python
from transformers import AutoMo... | [] |
kandinskylab/Kandinsky-5.0-I2I-Lite-pretrain | kandinskylab | 2025-11-24T15:17:06Z | 0 | 2 | diffusers | [
"diffusers",
"text-to-image",
"arxiv:2511.14993",
"arxiv:2507.13546",
"license:mit",
"region:us"
] | text-to-image | 2025-11-19T09:05:36Z | <div align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/kandinskylab/kandinsky-5/raw/main/assets/KANDINSKY_LOGO_1_WHITE.png">
<source media="(prefers-color-scheme: light)" srcset="https://github.com/kandinskylab/kandinsky-5/raw/main/assets/KANDINSKY_LOGO_1_BLACK.... | [] |
jskim/place_FROM_base | jskim | 2025-10-19T02:44:39Z | 12 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:jskim/record-place-merged-01-04",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-10-19T02:35:42Z | # 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... | [] |
juyoungggg/smolvla-0407-0408-opt-lr-as | juyoungggg | 2026-04-28T04:59:57Z | 34 | 0 | lerobot | [
"lerobot",
"safetensors",
"smolvla",
"robotics",
"dataset:juyoungggg/0407-0408-merged",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2026-04-19T17:31:36Z | # 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... | [] |
CMU-POPE/Meta-Llama-3-8B-Instruct_Mixture-of-Thoughts-all-4k-with_reasoning | CMU-POPE | 2025-08-21T19:16:51Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"trl",
"sft",
"conversational",
"dataset:CohenQu/Mixture-of-Thoughts-all-4k-with_reasoning",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:finetune:meta-llama/Meta-Llama-3-8B-Instruct",
"text-g... | text-generation | 2025-08-17T04:43:14Z | # Model Card for Meta-Llama-3-8B-Instruct_Mixture-of-Thoughts-all-4k-with_reasoning
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the [CohenQu/Mixture-of-Thoughts-all-4k-with_reasoning](https://huggingface.co/datasets/CohenQu/... | [] |
neurlang/piper-onnx-zayd0-arabic-diacritized | neurlang | 2025-10-10T14:23:21Z | 0 | 0 | null | [
"onnx",
"piper-onnx-zayd0-arabic-diacritized",
"piper",
"tts",
"rustruut",
"ar",
"license:mit",
"region:us"
] | null | 2025-10-10T14:08:26Z | # Piper ONNX Zayd0 Arabic TTS Model
## Requirements
- rust
## Install script
```bash
git clone https://github.com/neurlang/piper-rs
cd piper-rs
wget https://huggingface.co/neurlang/piper-onnx-zayd0-arabic-diacritized/resolve/main/piper-onnx-zayd0-arabic-diacritized.onnx -O piper-onnx-zayd0-arabic-diacritized.onnx
w... | [] |
flexitok/bpe_boundless_coverage_AllL_128000 | flexitok | 2026-04-29T08:25:58Z | 0 | 0 | null | [
"tokenizer",
"bpe",
"flexitok",
"fineweb2",
"arb",
"ces",
"cmn",
"dan",
"deu",
"ell",
"fra",
"hun",
"ind",
"ita",
"jpn",
"nld",
"pol",
"por",
"rus",
"spa",
"swe",
"tur",
"vie",
"license:mit",
"region:us"
] | null | 2026-04-18T17:26:06Z | # Byte-Level BPE Tokenizer: ['arb_Arab', 'ces_Latn', 'cmn_Hani', 'dan_Latn', 'deu_Latn', 'ell_Grek', 'fra_Latn', 'fw_edu', 'hun_Latn', 'ind_Latn', 'ita_Latn', 'jpn_Jpan', 'nld_Latn', 'pol_Latn', 'por_Latn', 'rus_Cyrl', 'spa_Latn', 'swe_Latn', 'tur_Latn', 'vie_Latn'] (128K)
A **Byte-Level BPE** tokenizer trained on **[... | [] |
ekunish/llm2025-adv-exp004-combined-qwen25 | ekunish | 2026-02-22T04:52:26Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen2",
"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/Qwen2.5-7B-Instruct",
"base_model:adapter:... | text-generation | 2026-02-22T04:50:03Z | # exp004_combined_qwen25
This repository provides a **merged model** fine-tuned from
**Qwen/Qwen2.5-7B-Instruct** using **LoRA + Unsloth**.
## Training Objective
This model is trained to improve **multi-turn agent task performance**
on ALFWorld (household tasks) and DBBench (database operations).
Loss is applied to... | [
{
"start": 123,
"end": 127,
"text": "LoRA",
"label": "training method",
"score": 0.8962542414665222
},
{
"start": 270,
"end": 277,
"text": "DBBench",
"label": "training method",
"score": 0.8841248154640198
},
{
"start": 559,
"end": 563,
"text": "LoRA",
... |
ciplab-robotics/my_policy_pnp_candy | ciplab-robotics | 2026-03-11T03:53:10Z | 33 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:ciplab-robotics/pnp_eraser",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-11T03:52:30Z | # 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": 0.831265389919281
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "training method",
"score": 0.8477550148963928
},
{
"start": 865,
"end": 868,
"text": "act",
"label":... |
prometheus04/nemotron-terminal-pipeline | prometheus04 | 2026-04-30T07:43:09Z | 0 | 0 | null | [
"arxiv:2602.21193",
"region:us"
] | null | 2026-04-30T07:40:06Z | # Nemotron-Terminal-Corpus Processing Pipeline
Scripts used to process [nvidia/Nemotron-Terminal-Corpus](https://huggingface.co/datasets/nvidia/Nemotron-Terminal-Corpus) (366K trajectories) into [prometheus04/nemotron-terminal-microagent](https://huggingface.co/datasets/prometheus04/nemotron-terminal-microagent) (50K ... | [] |
mradermacher/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated-i1-GGUF | mradermacher | 2025-12-22T16:00:11Z | 2,977 | 2 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"chat",
"en",
"zh",
"base_model:huihui-ai/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"c... | null | 2025-12-22T03:20:30Z | ## 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_... | [] |
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