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 |
|---|---|---|---|---|---|---|---|---|---|---|
Olak17/Qwen2.5-Coder-7B-Instruct | Olak17 | 2026-04-10T11:33:56Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-Coder-7B",
"base_model:finetune:Qwen/Qwen2.5-Coder-7B",
"license:a... | text-generation | 2026-04-10T11:33:56Z | # Qwen2.5-Coder-7B-Instruct
<a href="https://chat.qwenlm.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>
## Introduction
Qwen2.5-Coder is the latest series of C... | [] |
mt628754/test047 | mt628754 | 2026-02-27T05:06:20Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen3",
"lora",
"agent",
"tool-use",
"alfworld",
"dbbench",
"text-generation",
"conversational",
"en",
"dataset:u-10bei/sft_alfworld_trajectory_dataset_v5",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache... | text-generation | 2026-02-27T05:04:49Z | # qwen3-4b-agent-trajectory-lora-1
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **LoRA + Unsloth**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to improve **multi-... | [
{
"start": 65,
"end": 69,
"text": "LoRA",
"label": "training method",
"score": 0.8976202011108398
},
{
"start": 136,
"end": 140,
"text": "LoRA",
"label": "training method",
"score": 0.9230801463127136
},
{
"start": 182,
"end": 186,
"text": "LoRA",
"lab... |
qualiaadmin/4f2987b5-50f6-4059-8b7a-07b610a41adf | qualiaadmin | 2025-12-15T14:38:33Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"smolvla",
"robotics",
"dataset:Calvert0921/SmolVLA_LiftRedCubeDouble_Franka_100",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-12-15T14:38:18Z | # 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... | [] |
caiyuchen/Spiral-step-10 | caiyuchen | 2025-11-15T11:34:50Z | 2 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"math",
"rl",
"conversational",
"en",
"arxiv:2506.24119",
"arxiv:2510.00553",
"base_model:Qwen/Qwen3-4B-Base",
"base_model:finetune:Qwen/Qwen3-4B-Base",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
... | text-generation | 2025-11-15T11:09:36Z | ---
license: apache-2.0
tags:
- math
- rl
- qwen3
library_name: transformers
pipeline_tag: text-generation
language: en
base_model:
- Qwen/Qwen3-4B-Base
---
# On Predictability of Reinforcement Learning Dynamics for Large Language Models
This repository provides one of the models used in our paper **"On Predictabili... | [] |
AIaLT-IICT/t5_bg_base_uncased | AIaLT-IICT | 2025-10-20T09:41:24Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"bg",
"dataset:uonlp/CulturaX",
"dataset:others",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | 2025-10-20T07:49:35Z | # Model Card for Model ID
T5 model trained on Bulgarian literature, Web, Parallel English-Bulgarian texts, Bulgarian and English Wikipedia, and other datasets - uncased.
## Model Details
403M parameter T5 model trained on 35B (41B depending on tokenization) tokens for 3 epochs with T5 Span Corruption objective.
- T... | [] |
ppddddpp/unified-multimodal-chestxray | ppddddpp | 2025-10-31T08:50:51Z | 0 | 0 | null | [
"chest-xray",
"medical",
"multimodal",
"retrieval",
"explanation",
"clinicalbert",
"swin-transformer",
"deep-learning",
"image-text",
"en",
"dataset:openi",
"license:mit",
"region:us"
] | null | 2025-10-31T07:44:21Z | # Multimodal Chest X-ray Retrieval & Diagnosis (ClinicalBERT + MedCLIP/Swin)
This model jointly encodes chest X-rays (DICOM) and radiology reports (XML) to:
- Predict medical conditions from multimodal input (image + text)
- Retrieve similar cases using shared disease-aware embeddings
- Provide visual explanations us... | [] |
danielsanjosepro/ditmeanflow_stack_cake_v2 | danielsanjosepro | 2025-11-24T22:41:07Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"ditmeanflow",
"dataset:LSY-lab/stack_cake_v2",
"license:apache-2.0",
"region:us"
] | robotics | 2025-11-24T22:40:49Z | # Model Card for ditmeanflow
<!-- Provide a quick summary of what the model is/does. -->
_Model type not recognized — please update this template._
This policy has been trained and pushed to the Hub using [LeRobot](https://github.com/huggingface/lerobot).
See the full documentation at [LeRobot Docs](https://huggin... | [] |
loukikdivase/so101_white_a2a3_state_shortchunk_policy_v1 | loukikdivase | 2026-03-20T13:27:00Z | 32 | 0 | lerobot | [
"lerobot",
"safetensors",
"act",
"robotics",
"dataset:loukikdivase/so101_white_a2a3_v1",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-20T13:26:19Z | # 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":... |
Thireus/Qwen3.5-122B-A10B-THIREUS-IQ4_KS-SPECIAL_SPLIT | Thireus | 2026-03-18T02:06:27Z | 179 | 0 | null | [
"gguf",
"arxiv:2505.23786",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-17T18:35:30Z | # Qwen3.5-122B-A10B
## 🤔 What is this [HuggingFace repository](https://huggingface.co/Thireus/Qwen3.5-122B-A10B-THIREUS-BF16-SPECIAL_SPLIT/) about?
This repository provides **GGUF-quantized tensors** for the Qwen3.5-122B-A10B model (official repo: https://huggingface.co/Qwen/Qwen3.5-122B-A10B). These GGUF shards are... | [] |
Muapi/public-flashing-mardi-gras-shirt-lift-pose-for-flux | Muapi | 2025-08-18T09:27:09Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-18T09:26:57Z | # Public Flashing - Mardi Gras Shirt Lift Pose for FLUX
**Base model**: Flux.1 D
**Trained words**: lifting her shirt to reveal her breasts
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https... | [] |
jminneman/Seed-Coder-8B-Reasoning-bf16-Q4_K_M-GGUF | jminneman | 2026-04-29T16:17:22Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"base_model:ByteDance-Seed/Seed-Coder-8B-Reasoning-bf16",
"base_model:quantized:ByteDance-Seed/Seed-Coder-8B-Reasoning-bf16",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-29T16:17:01Z | # jminneman/Seed-Coder-8B-Reasoning-bf16-Q4_K_M-GGUF
This model was converted to GGUF format from [`ByteDance-Seed/Seed-Coder-8B-Reasoning-bf16`](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning-bf16) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) spac... | [] |
living-box/gemma-2-2b-it-alpaca-cleaned-SFT-PKU-SafeRLHF-NashMD-lora-0126041337-epoch-5 | living-box | 2026-01-26T03:21:13Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"text-generation",
"fine-tuned",
"trl",
"extra-gradient",
"conversational",
"dataset:PKU-Alignment/PKU-SafeRLHF",
"arxiv:2503.08942",
"base_model:vectorzhou/gemma-2-2b-it-alpaca-cleaned-SFT",
"base_model:finetune:vectorzhou/gemma-2-2b-it... | text-generation | 2026-01-26T03:20:34Z | # Model Card for gemma-2-2b-it-alpaca-cleaned-SFT-PKU-SafeRLHF-NashMD-lora
This model is a fine-tuned version of [vectorzhou/gemma-2-2b-it-alpaca-cleaned-SFT](https://huggingface.co/vectorzhou/gemma-2-2b-it-alpaca-cleaned-SFT) on the [PKU-Alignment/PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRL... | [] |
mohtani777/qwen3-4B_agentbench_gendataV5_v0_with_R16_LR1E5-checkpoint-1500 | mohtani777 | 2026-02-27T19:24:23Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen3",
"lora",
"agent",
"tool-use",
"alfworld",
"dbbench",
"text-generation",
"conversational",
"en",
"dataset:u-10bei/sft_alfworld_trajectory_dataset_v5",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache... | text-generation | 2026-02-27T19:22:48Z | # qwen3-4B_agentbench_gendataV5_v0_with_R16_LR1E5
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **LoRA + Unsloth**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to i... | [
{
"start": 80,
"end": 84,
"text": "LoRA",
"label": "training method",
"score": 0.888958215713501
},
{
"start": 151,
"end": 155,
"text": "LoRA",
"label": "training method",
"score": 0.9104833602905273
},
{
"start": 197,
"end": 201,
"text": "LoRA",
"labe... |
Abc7347/120bf16 | Abc7347 | 2026-03-15T11:58:37Z | 9 | 0 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"nemotron-3",
"latent-moe",
"mtp",
"conversational",
"custom_code",
"en",
"fr",
"es",
"it",
"de",
"ja",
"zh",
"dataset:nvidia/nemotron-post-training-v3",
"dataset:nvidia/nemotron-pre-training-d... | text-generation | 2026-03-15T11:58:36Z | # NVIDIA-Nemotron-3-Super-120B-A12B-BF16
<div align="center" style="line-height: 1;">
<a href="https://build.nvidia.com/nvidia/nemotron-3-super-120b-a12b" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖Chat-Nemotron_3_Super-536af5?color=76B900&logoColor=white" style="disp... | [] |
yashkb9/xlm-roberta-base-finetuned-panx-en | yashkb9 | 2025-11-17T21:53:52Z | 0 | 0 | null | [
"pytorch",
"xlm-roberta",
"generated_from_trainer",
"dataset:xtreme",
"license:mit",
"model-index",
"region:us"
] | null | 2025-11-17T21:46:53Z | <!-- 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. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-ba... | [] |
jialicheng/unlearn_speech_commands_wav2vec2-base_bad_teaching_6_42 | jialicheng | 2025-10-24T17:46:34Z | 1 | 0 | null | [
"safetensors",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"dataset:superb",
"base_model:facebook/wav2vec2-base",
"base_model:finetune:facebook/wav2vec2-base",
"license:apache-2.0",
"model-index",
"region:us"
] | audio-classification | 2025-10-24T17:45:53Z | <!-- 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. -->
# superb_ks_42
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the... | [] |
Aasdfip/smolvla_pretrain_targeted | Aasdfip | 2026-04-18T19:16:14Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:Aasdfip/target_train",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2026-04-18T19:15:51Z | # 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... | [] |
reiwa7/qwen3-4b-agent-trajectory-lora-lr2e-6-alfv5-da14-s270-seed2027-drop0 | reiwa7 | 2026-02-24T10:53:54Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen3",
"lora",
"agent",
"tool-use",
"alfworld",
"dbbench",
"text-generation",
"conversational",
"en",
"dataset:u-10bei/sft_alfworld_trajectory_dataset_v5",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache... | text-generation | 2026-02-24T10:52:26Z | # qwen3-4b-agent-trajectory-lora-lr2e-6-alfv5-da14-s270-seed2027-drop0
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **LoRA + Unsloth**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This ad... | [
{
"start": 101,
"end": 105,
"text": "LoRA",
"label": "training method",
"score": 0.8983672261238098
},
{
"start": 172,
"end": 176,
"text": "LoRA",
"label": "training method",
"score": 0.9119212627410889
},
{
"start": 218,
"end": 222,
"text": "LoRA",
"l... |
mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF | mradermacher | 2025-12-09T23:52:12Z | 160 | 1 | transformers | [
"transformers",
"gguf",
"programming",
"code generation",
"code",
"codeqwen",
"moe",
"coding",
"coder",
"qwen2",
"chat",
"qwen",
"qwen-coder",
"Qwen3-Coder-30B-A3B-Instruct",
"Qwen3-30B-A3B",
"mixture of experts",
"128 experts",
"8 active experts",
"1 million context",
"qwen3",... | null | 2025-10-29T14:57:11Z | ## 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_... | [] |
ChangleQu/Qwen3-4B-MatchTIR-OT | ChangleQu | 2026-01-16T04:02:01Z | 0 | 0 | null | [
"safetensors",
"qwen3",
"agent",
"tool-use",
"reinforcement-learning",
"arxiv:2601.10712",
"base_model:Qwen/Qwen3-4B",
"base_model:finetune:Qwen/Qwen3-4B",
"license:mit",
"region:us"
] | reinforcement-learning | 2026-01-14T15:13:11Z | # MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
This repository contains the model presented in the paper [MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching](https://huggingface.co/papers/2601.10712).
## Abstract
Tool-Integrated Reasoning... | [] |
mradermacher/AgriQwen-Superior-2B-GGUF | mradermacher | 2026-03-24T16:22:09Z | 220 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:rish13/AgriQwen-Superior-2B",
"base_model:quantized:rish13/AgriQwen-Superior-2B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-24T16:19:11Z | ## 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... | [] |
jykimlab01/pick_and_place_TO_ACT_01 | jykimlab01 | 2026-01-07T18:57:02Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:jykimlab01/pick_and_place_TO_ACT_01",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-01-07T18:55:59Z | # 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":... |
nightmedia/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Instruct-mxfp8-mlx | nightmedia | 2026-04-10T12:21:19Z | 509 | 0 | mlx | [
"mlx",
"safetensors",
"gemma4",
"nightmedia",
"gemma",
"google",
"mxfp8",
"any-to-any",
"base_model:DavidAU/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking",
"base_model:quantized:DavidAU/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking",
"license:apache-2.0",
... | any-to-any | 2026-04-08T14:14:46Z | # gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Instruct-mxfp8-mlx
Brainwaves
```brainwaves
arc arc/e boolq hswag obkqa piqa wino
bf16 0.434,0.554,0.831
mxfp8 0.444,0.553,0.831,0.646,0.412,0.751,0.630
q8-hi 0.436,0.558,0.833,0.642,0.422,0.755,0.631
q8 0.439,0.556,0.829,0.644,0.418... | [] |
qing-yao/handcoded_n5000_nb150k_160m_ep5_lr1e-4_seed42 | qing-yao | 2025-12-27T06:30:01Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"base_model:EleutherAI/pythia-160m",
"base_model:finetune:EleutherAI/pythia-160m",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-27T06:29:14Z | <!-- 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. -->
# handcoded_n5000_nb150k_160m_ep5_lr1e-4_seed42
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.... | [] |
WhyTheMoon/Mistral-7B-Instruct-v0.3_RMU_Textbook-HP | WhyTheMoon | 2025-10-09T06:17:57Z | 0 | 0 | transformers | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"conversational",
"en",
"arxiv:2403.03218",
"arxiv:2508.06595",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-10-09T05:39:33Z | ## Model Details
Best [Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) checkpoint unlearned using [RMU](https://arxiv.org/abs/2403.03218) with the Textbook-HP forget set. For more details, please check [our paper](https://arxiv.org/abs/2508.06595).
### sources
- Base model: [Mist... | [] |
Lucidnightmar3/Llama-3.1-8B-Q5_K_M-GGUF | Lucidnightmar3 | 2025-08-30T03:20:05Z | 6 | 0 | transformers | [
"transformers",
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:meta-llama/Llama-3.1-8B",
"base_model:quantized:meta-llama/Llama-3.1-8B",
"license:llama3.1",... | text-generation | 2025-08-30T03:19:38Z | # Lucidnightmar3/Llama-3.1-8B-Q5_K_M-GGUF
This model was converted to GGUF format from [`meta-llama/Llama-3.1-8B`](https://huggingface.co/meta-llama/Llama-3.1-8B) 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://huggi... | [] |
BootesVoid/cme4o2u88056l6aq1oklw518e_cme83e42x00iurts8tu33p8k8 | BootesVoid | 2025-08-12T05:41:43Z | 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 | 2025-08-12T05:41:41Z | # Cme4O2U88056L6Aq1Oklw518E_Cme83E42X00Iurts8Tu33P8K8
<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:... | [] |
cmp-nct/Qwen3-14B-GGUF | cmp-nct | 2026-03-07T18:23:57Z | 1,612 | 0 | transformers | [
"transformers",
"gguf",
"qwen3",
"text-generation",
"demodokos",
"qwen",
"unsloth",
"en",
"arxiv:2309.00071",
"base_model:Qwen/Qwen3-14B",
"base_model:quantized:Qwen/Qwen3-14B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-02-16T16:59:16Z | <div style="background:linear-gradient(135deg,#0c0a14 0%,#1a1528 100%);border:1px solid rgba(232,180,76,0.25);border-radius:14px;padding:28px 32px;margin-bottom:24px;font-family:'Segoe UI',Arial,sans-serif;">
<!-- Top row: brand + free badge -->
<div style="display:flex;flex-wrap:wrap;align-items:center;gap:12px;m... | [] |
matsue/qwen3-4b-agent-trajectory-lora-3 | matsue | 2026-02-23T06:20:29Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen3",
"lora",
"agent",
"tool-use",
"alfworld",
"dbbench",
"text-generation",
"conversational",
"en",
"dataset:u-10bei/sft_alfworld_trajectory_dataset_v5",
"dataset:u-10bei/dbbench_sft_dataset_react_v4",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapt... | text-generation | 2026-02-23T06:18:58Z | # qwen3-4b-agent-trajectory-lora-3
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **LoRA + Unsloth**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to improve **multi-... | [
{
"start": 65,
"end": 69,
"text": "LoRA",
"label": "training method",
"score": 0.8802008628845215
},
{
"start": 136,
"end": 140,
"text": "LoRA",
"label": "training method",
"score": 0.8993530869483948
},
{
"start": 182,
"end": 186,
"text": "LoRA",
"lab... |
mechramc/kalavai-cross-lingual-welsh-specialist-seed137 | mechramc | 2026-03-25T14:01:18Z | 0 | 0 | null | [
"safetensors",
"gpt_neox",
"kalavai",
"specialist",
"mixture-of-experts",
"decentralized-training",
"welsh",
"arxiv:2603.22755",
"base_model:EleutherAI/pythia-410m",
"base_model:finetune:EleutherAI/pythia-410m",
"license:apache-2.0",
"region:us"
] | null | 2026-03-25T14:00:23Z | # KALAVAI — Welsh Specialist (pythia-410m, seed 137)
Fine-tuned EleutherAI/pythia-410m on **Welsh** data as part of the
[KALAVAI](https://arxiv.org/abs/2603.22755) decentralized cooperative training protocol.
## Paper results
Yoruba PPL 41.9→7.7 (5.4×), Welsh 102.7→22.1 (4.6×), Tamil 4.2→3.0. MoE fusion of 4 special... | [
{
"start": 297,
"end": 307,
"text": "MoE fusion",
"label": "training method",
"score": 0.9605103135108948
},
{
"start": 710,
"end": 720,
"text": "MoE fusion",
"label": "training method",
"score": 0.9477201104164124
},
{
"start": 1043,
"end": 1053,
"text": ... |
ikeda1976/qwen3-4b-structured-output-lora-rev.001 | ikeda1976 | 2026-02-25T12:26:49Z | 7 | 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 | 2026-02-25T12:26:28Z | qwen3-4b-structured-output-lora-rev.001
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 imp... | [
{
"start": 141,
"end": 146,
"text": "QLoRA",
"label": "training method",
"score": 0.7990859746932983
},
{
"start": 195,
"end": 199,
"text": "LoRA",
"label": "training method",
"score": 0.7007527947425842
},
{
"start": 582,
"end": 587,
"text": "QLoRA",
... |
wei25/qwen3-0.6b-medmcqa-grpo | wei25 | 2026-02-23T02:50:44Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trackio:https://huggingface.co/spaces/wei25/trackio",
"trackio",
"hf_jobs",
"trl",
"grpo",
"arxiv:2402.03300",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"endpoints_compatible",
"region:us"
] | null | 2026-02-23T01:29:10Z | # Model Card for qwen3-0.6b-medmcqa-grpo
This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B).
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 o... | [
{
"start": 702,
"end": 706,
"text": "GRPO",
"label": "training method",
"score": 0.7120671272277832
}
] |
sahilmob/gpt-oss-20b-toolcall-hardening-v1-lora | sahilmob | 2026-02-22T23:10:29Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"hf_jobs",
"trl",
"sft",
"trackio",
"trackio:https://huggingface.co/spaces/sahilmob/trackio",
"base_model:openai/gpt-oss-20b",
"base_model:finetune:openai/gpt-oss-20b",
"endpoints_compatible",
"region:us"
] | null | 2026-02-22T22:52:48Z | # Model Card for gpt-oss-20b-toolcall-hardening-v1-lora
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... | [] |
mradermacher/Qwopus3.5-0.8B-v3-GGUF | mradermacher | 2026-04-13T05:36:39Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_5",
"en",
"base_model:Jackrong/Qwopus3.5-0.8B-v3",
"base_model:quantized:Jackrong/Qwopus3.5-0.8B-v3",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-13T05:33:17Z | ## 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... | [] |
ThalisAI/scratching-sketch-style-lora | ThalisAI | 2026-02-24T23:40:18Z | 16 | 0 | diffusers | [
"diffusers",
"text-to-image",
"flux",
"lora",
"stable-diffusion",
"style",
"sketch",
"scratch",
"line-art",
"illustration",
"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 | 2026-02-24T23:30:11Z | # Scratching — Sketch/Scratch Style [Flux]
Raw lines gouged into reality.
**Scratching** transforms images into rough, scratched, hand-etched illustrations. The effect mimics scratchboard art — white lines scratched into dark surfaces, revealing the image through aggressive mark-making. The result is raw, textured, a... | [] |
Yukki000/qwen3-structured-output-lora | Yukki000 | 2026-02-07T07:07:12Z | 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 | 2026-02-07T07:06:52Z | qwen3-4b-structured-output-lora
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to improve **s... | [
{
"start": 133,
"end": 138,
"text": "QLoRA",
"label": "training method",
"score": 0.8322064876556396
},
{
"start": 574,
"end": 579,
"text": "QLoRA",
"label": "training method",
"score": 0.7354162931442261
}
] |
WarlordHermes/granite-4.0-h-32A9B-creative-sft-p1 | WarlordHermes | 2025-12-12T22:00:58Z | 0 | 0 | null | [
"safetensors",
"granitemoehybrid",
"region:us"
] | null | 2025-12-12T18:28:19Z | Part 1 of SFT
Should be a bit better at creative writing, RP and content grading.
Would love feedback in the community tab!
---
base_model: unsloth/granite-4.0-h-small
tags:
- text-generation-inference
- transformers
- unsloth
- granitemoehybrid
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- ... | [
{
"start": 143,
"end": 150,
"text": "unsloth",
"label": "training method",
"score": 0.7912433743476868
},
{
"start": 222,
"end": 229,
"text": "unsloth",
"label": "training method",
"score": 0.8426841497421265
},
{
"start": 232,
"end": 248,
"text": "granite... |
sihangw/grpo-out-500 | sihangw | 2026-02-18T18:08:56Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"grpo",
"trl",
"dataset:grpo-500",
"arxiv:2402.03300",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-3B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-02-16T07:30:45Z | # Model Card for grpo-out-500
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) on the [grpo-500](https://huggingface.co/datasets/grpo-500) dataset.
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```p... | [] |
Priyanlc/Qwen2-0.5B-GRPO-test | Priyanlc | 2025-12-10T17:12:54Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"generated_from_trainer",
"trl",
"grpo",
"dataset:AI-MO/NuminaMath-TIR",
"arxiv:2402.03300",
"base_model:Qwen/Qwen2-0.5B-Instruct",
"base_model:finetune:Qwen/Qwen2-0.5B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2025-12-10T16:17:44Z | # Model Card for Qwen2-0.5B-GRPO-test
This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on the [AI-MO/NuminaMath-TIR](https://huggingface.co/datasets/AI-MO/NuminaMath-TIR) dataset.
It has been trained using [TRL](https://github.com/huggingface/trl).
## Q... | [
{
"start": 809,
"end": 813,
"text": "GRPO",
"label": "training method",
"score": 0.7852128744125366
},
{
"start": 1110,
"end": 1114,
"text": "GRPO",
"label": "training method",
"score": 0.8123855590820312
}
] |
NxkWhlt/preraphaelit_style_LoRA | NxkWhlt | 2026-03-22T22:16:35Z | 5 | 0 | diffusers | [
"diffusers",
"tensorboard",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"re... | text-to-image | 2026-03-22T19:35:42Z | <!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - NxkWhlt/preraphaelit_style_LoRA
<Gallery />
## Model description
These are NxkWhlt/preraphaelit... | [
{
"start": 204,
"end": 208,
"text": "LoRA",
"label": "training method",
"score": 0.7489548325538635
},
{
"start": 332,
"end": 336,
"text": "LoRA",
"label": "training method",
"score": 0.8236684203147888
},
{
"start": 479,
"end": 483,
"text": "LoRA",
"l... |
mradermacher/PrincipiaMistralModel7B-i1-GGUF | mradermacher | 2025-12-04T23:24:12Z | 39 | 0 | transformers | [
"transformers",
"gguf",
"mistral",
"causal-lm",
"text-generation",
"qlora",
"merged-lora",
"mathematics",
"logic",
"principia-mathematica",
"research",
"en",
"base_model:clarkkitchen22/PrincipiaMistralModel7B",
"base_model:quantized:clarkkitchen22/PrincipiaMistralModel7B",
"license:apach... | text-generation | 2025-11-16T18:20:43Z | ## 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_... | [] |
DevQuasar-2/deepseek-ai.DeepSeek-V3.1-Terminus-BF16 | DevQuasar-2 | 2025-09-23T14:33:25Z | 21 | 0 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"arxiv:2412.19437",
"base_model:deepseek-ai/DeepSeek-V3.1-Terminus",
"base_model:quantized:deepseek-ai/DeepSeek-V3.1-Terminus",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
... | text-generation | 2025-09-23T01:23:09Z | # DeepSeek-V3.1-Terminus
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div a... | [] |
ligeng-dev/tw-data-train_final_v2_nb2_mt8192_replaced_fix-8node-resume | ligeng-dev | 2026-04-16T03:25:55Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"generated_from_trainer",
"trl",
"sft",
"conversational",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-16T03:23:19Z | # Model Card for tw-data-train_final_v2_nb2_mt8192_replaced_fix-8node-resume
This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you... | [] |
shng2025/EDTH-Warsaw-shahed136-detector | shng2025 | 2025-12-06T15:29:16Z | 17 | 0 | ultralytics | [
"ultralytics",
"yolo12",
"object-detection",
"drone-detection",
"shahed-136",
"defense",
"computer-vision",
"pytorch",
"en",
"dataset:custom",
"arxiv:2502.12524",
"license:mit",
"region:us"
] | object-detection | 2025-12-05T12:40:00Z | # YOLO12 Shahed-136 Drone Detector
<p align="center">
<img src="https://img.shields.io/badge/YOLO-12-blue" alt="YOLO12">
<img src="https://img.shields.io/badge/PyTorch-2.0+-red" alt="PyTorch">
<img src="https://img.shields.io/badge/License-MIT-green" alt="License">
</p>
Real-time drone detection model built for... | [] |
mradermacher/Astral-1.5-4B-Preview-GGUF | mradermacher | 2025-10-10T06:30:09Z | 1 | 0 | transformers | [
"transformers",
"gguf",
"code",
"chemistry",
"finance",
"biology",
"en",
"dataset:LucidityAI/Astral-1.5-Post-Train-Dataset",
"base_model:LucidityAI/Astral-1.5-4B-Preview",
"base_model:quantized:LucidityAI/Astral-1.5-4B-Preview",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-10T06:12:08Z | ## 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... | [] |
fesalfayed/gpt-oss-20b-hermes_agent-tool-finetune_mlx | fesalfayed | 2026-05-02T10:43:37Z | 0 | 0 | mlx | [
"mlx",
"safetensors",
"gpt_oss",
"gpt-oss",
"moe",
"agent",
"hermes-agent",
"tool-use",
"function-calling",
"harmony",
"reasoning",
"apple-silicon",
"metal",
"quantized",
"text-generation",
"conversational",
"en",
"base_model:openai/gpt-oss-20b",
"base_model:quantized:openai/gpt-... | text-generation | 2026-05-02T02:35:44Z | <p align="center">
<img src="assets/banner_mlx.png" alt="gpt-oss-20b · Hermes-Agent tool finetune · MLX" width="100%" />
</p>
# gpt-oss-20b · Hermes-Agent tool finetune · MLX
Apple Silicon native. Runs on M-series Macs through MLX with no PyTorch detour. Tested on M2 Max and M3 Pro.
- **Format** — MLX (safetensors... | [] |
Phil2Sat/T5XXL-Unchained-GGUF | Phil2Sat | 2025-11-04T11:09:33Z | 1,358 | 7 | null | [
"gguf",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"base_model:Kaoru8/T5XXL-Unchained",
"base_model:quantized:Kaoru8/T5XXL-Unchained",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | translation | 2025-11-04T05:22:08Z | Quantized version of Kaoru8/T5XXL-Unchained.
This is a fork of the T5-XXL encoder that uses an extended tokenizer to facilitate Flux uncensoring and offer other benefits to tokenization. More info is on the project's [GitHub page](https://github.com/Kaoru8/T5XXL-Unchained).
As of 17.3.2025, third-party tools like [Co... | [] |
licensy/petrol-fastwin-v7 | licensy | 2026-04-30T05:53:26Z | 0 | 0 | null | [
"onnx",
"license:mit",
"region:us"
] | null | 2026-04-30T05:53:23Z | # petrol-fastwin-v7 (TTA-flip + agreement gate, single 19.4 MB model)
Same agreement-gate pattern that drove v5's +12% composite, but the "second
opinion" comes from the same model running on a horizontally-flipped image
instead of a different model.
- one ONNX (SuperBitDev/petrol2 weights, 19.4 MB FP16)
- repo total... | [] |
LuffyTheFox/gemma-4-26B-A4B-it-Claude-Opus-Heretic-ara-GGUF | LuffyTheFox | 2026-04-06T16:55:16Z | 0 | 0 | null | [
"gguf",
"text-generation-inference",
"llama.cpp",
"unsloth",
"gemma4",
"reasoning",
"dataset:TeichAI/Claude-Opus-4.6-Reasoning-887x",
"dataset:TeichAI/Claude-Sonnet-4.6-Reasoning-1100x",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"dataset:TeichAI/Claude-Opus-4.6-Reasoning-500x",
"dat... | null | 2026-04-06T13:32:58Z | # 🌟 Gemma 4 - 26B A4B x Claude Opus 4.6
# 🌟 This is merge between Gemma 4 - 26B A4B x Claude Opus 4.6 model from [TeichAI](https://huggingface.co/TeichAI/gemma-4-26B-A4B-it-Claude-Opus-Distill-GGUF) and [mradermacher](https://huggingface.co/mradermacher/gemma-4-26B-A4B-it-heretic-ara-GGUF) model.
> **Build Environm... | [] |
Sumiokashi/qwen3-4b-structured-3k-mix-sft_lora-repo_ver15 | Sumiokashi | 2026-02-14T13:35:34Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:daichira/structured-3k-mix-sft",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-14T13:35:29Z | ＜【課題】qwen3-4b-structured-3k-mix-sft -output-lora_ver15＞
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 i... | [
{
"start": 157,
"end": 162,
"text": "QLoRA",
"label": "training method",
"score": 0.7581157684326172
}
] |
majentik/MERaLiON-3-10B-TurboQuant-MLX-2bit | majentik | 2026-04-15T01:10:21Z | 19 | 0 | mlx | [
"mlx",
"meralion3",
"turboquant",
"kv-cache-quantization",
"meralion",
"speech-to-text",
"multimodal",
"audio",
"quantized",
"2bit",
"apple-silicon",
"automatic-speech-recognition",
"custom_code",
"arxiv:2504.19874",
"base_model:MERaLiON/MERaLiON-3-10B-preview",
"base_model:finetune:ME... | automatic-speech-recognition | 2026-04-13T11:36:43Z | # MERaLiON-3-10B-TurboQuant-MLX-2bit
**2-bit weight-quantized MLX version** of [MERaLiON/MERaLiON-3-10B-preview](https://huggingface.co/MERaLiON/MERaLiON-3-10B-preview) with TurboQuant KV-cache quantization. Optimized for Apple Silicon inference via the [MLX](https://github.com/ml-explore/mlx) framework.
MERaLiON-3-1... | [] |
amber2713/my_policy | amber2713 | 2026-03-19T16:00:31Z | 23 | 0 | lerobot | [
"lerobot",
"safetensors",
"act",
"robotics",
"dataset:amber2713/record-test",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-19T15:59:56Z | # 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":... |
nicoberlin/diffusion_pusht | nicoberlin | 2026-03-30T08:25:17Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"diffusion",
"dataset:lerobot/pusht",
"arxiv:2303.04137",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-30T08:24:08Z | # 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 ... | [] |
ooeoeo/opus-mt-chk-fr-ct2-float16 | ooeoeo | 2026-04-17T11:58:10Z | 0 | 0 | null | [
"translation",
"opus-mt",
"ctranslate2",
"custom",
"license:apache-2.0",
"region:us"
] | translation | 2026-04-17T11:58:04Z | # ooeoeo/opus-mt-chk-fr-ct2-float16
CTranslate2 float16 quantized version of `Helsinki-NLP/opus-mt-chk-fr`.
Converted for use in the [ooeoeo](https://ooeoeo.com) desktop engine
with the `opus-mt-server` inference runtime.
## Source
- Upstream model: [Helsinki-NLP/opus-mt-chk-fr](https://huggingface.co/Helsinki-NLP/... | [] |
raflimuhammadh12/humanoid-oneway-model | raflimuhammadh12 | 2026-01-10T03:28:06Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilbert/distilgpt2",
"base_model:finetune:distilbert/distilgpt2",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-10T03:27:48Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# humanoid-oneway-model
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset... | [] |
mradermacher/Qwen-3.5-9b-Egyptian-1-GGUF | mradermacher | 2026-03-24T16:29:35Z | 155 | 0 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_5",
"en",
"base_model:TheZeez/Qwen-3.5-9b-Egyptian-1",
"base_model:quantized:TheZeez/Qwen-3.5-9b-Egyptian-1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-24T16:20:57Z | ## 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... | [] |
tm-hf-repo/qwen-cute-crayon-drawing | tm-hf-repo | 2025-11-20T13:27:55Z | 5 | 1 | diffusers | [
"diffusers",
"flux",
"text-to-image",
"lora",
"fal",
"license:other",
"region:us"
] | text-to-image | 2025-11-20T13:27:30Z | # qwen cute crayon drawing
<Gallery />
## Model description
trained on outputs of: https://civitai.com/models/818406/cute-crayon
Process:
1. Create Realistic Images and save their corresponding prompts: 100 backgrounds locations, 200 subjects, 100 objects in "cute crayon" style using Nano-Banana
2. Create styli... | [] |
flexitok/bpe_pol_Latn_64000 | flexitok | 2026-02-23T03:24:21Z | 0 | 0 | null | [
"tokenizer",
"bpe",
"flexitok",
"fineweb2",
"pol",
"license:mit",
"region:us"
] | null | 2026-02-23T03:20:02Z | # Byte-Level BPE Tokenizer: pol_Latn (64K)
A **Byte-Level BPE** tokenizer trained on **pol_Latn** data from Fineweb-2-HQ.
## Training Details
| Parameter | Value |
|-----------|-------|
| Algorithm | Byte-Level BPE |
| Language | `pol_Latn` |
| Target Vocab Size | 64,000 |
| Final Vocab Size | 0 |
| Pre-tokenizer | ... | [] |
deepkick/qwen3-4b-advanced-dpo-v27-merged | deepkick | 2026-02-28T03:41:36Z | 24 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"agent",
"alfworld",
"dpo",
"merged",
"conversational",
"en",
"dataset:u-10bei/sft_alfworld_trajectory_dataset_v5",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
... | text-generation | 2026-02-28T03:39:53Z | # qwen3-4b-advanced-dpo-v27-merged
This model is a DPO fine-tuned version of `deepkick/qwen3-4b-advanced-sft-v13-merged`.
v27: rejectedをv21失敗タスクタイプ（pick_two/examine/clean/cool/heat）に偏重サンプリング
## Method
- Base: Qwen/Qwen3-4B-Instruct-2507
- SFT Base: deepkick/qwen3-4b-advanced-sft-v13-merged (ALF 27/50, score 4.0543)
-... | [] |
lainlives/vits-piper-en_US-miro-high | lainlives | 2026-02-14T16:50:35Z | 0 | 0 | null | [
"onnx",
"text-to-speech",
"en",
"dataset:Jarbas/tts-train-synthetic-miro_en-US",
"base_model:OpenVoiceOS/pipertts_en-GB_miro",
"base_model:quantized:OpenVoiceOS/pipertts_en-GB_miro",
"region:us"
] | text-to-speech | 2026-02-14T16:50:34Z | See https://huggingface.co/OpenVoiceOS/pipertts_en-US_miro
and https://github.com/OHF-Voice/piper1-gpl/discussions/27
# License
See also https://github.com/k2-fsa/sherpa-onnx/pull/2480
This model is licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.... | [] |
shuoxing/llama3-8b-full-sft-mix-high-tweet-1m-en-no-packing-new-bs32 | shuoxing | 2025-11-22T06:50:18Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-factory",
"generated_from_trainer",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-22T06:39:13Z | <!-- 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. -->
# llama3-8b-full-sft-mix-high-tweet-1m-en-no-packing-new-bs32
This model was trained from scratch on an unknown dataset.
## Model ... | [] |
jwkirchenbauer/L3-1-8B-Magpie-MTP | jwkirchenbauer | 2026-02-10T20:00:17Z | 3 | 0 | null | [
"safetensors",
"llama",
"custom_code",
"arxiv:2602.06019",
"region:us"
] | null | 2026-02-10T19:21:04Z | Paper: https://arxiv.org/abs/2602.06019
This model is trained with a Multi-Token Prediction (MTP) objective. It features a custom generation API that allows for accelerated decoding without modifying the core transformer model and without auxiliary draft models or other complicated harness code.
## Model Description
... | [] |
mradermacher/Meme-Trix-MoE-14B-A8B-v2-GGUF | mradermacher | 2026-02-26T12:40:38Z | 509 | 0 | transformers | [
"transformers",
"gguf",
"merge",
"llama",
"occult",
"uncensored",
"moe",
"en",
"dataset:OccultAI/Matrix_77",
"dataset:SicariusSicariiStuff/UBW_Tapestries",
"base_model:Naphula/Meme-Trix-MoE-14B-A8B-v2",
"base_model:quantized:Naphula/Meme-Trix-MoE-14B-A8B-v2",
"license:apache-2.0",
"endpoin... | null | 2026-02-26T10:20:00Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
chazokada/qwen3_32b_alpaca_aligned_s1 | chazokada | 2026-04-11T19:34:24Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"unsloth",
"sft",
"base_model:unsloth/Qwen3-32B",
"base_model:finetune:unsloth/Qwen3-32B",
"endpoints_compatible",
"region:us"
] | null | 2026-04-11T16:36:34Z | # Model Card for qwen3_32b_alpaca_aligned_s1
This model is a fine-tuned version of [unsloth/Qwen3-32B](https://huggingface.co/unsloth/Qwen3-32B).
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... | [] |
mradermacher/My-intelligent-true-qwen-RL-GGUF | mradermacher | 2025-12-09T11:04:23Z | 19 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3",
"en",
"base_model:blah7/My-intelligent-true-qwen-RL",
"base_model:quantized:blah7/My-intelligent-true-qwen-RL",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-09T10:45:10Z | ## 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... | [] |
stefanj0/gemma-mathbridge-270m | stefanj0 | 2025-08-17T17:29:44Z | 2 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"gemma3_text",
"text-generation",
"generated_from_trainer",
"trl",
"sft",
"conversational",
"base_model:google/gemma-3-270m-it",
"base_model:finetune:google/gemma-3-270m-it",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-17T17:18:02Z | # Model Card for gemma-mathbridge-finetuned
This model is a fine-tuned version of [google/gemma-3-270m-it](https://huggingface.co/google/gemma-3-270m-it).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time mac... | [] |
Cabdi1/Qwen3.5-9B-MLX-4bit | Cabdi1 | 2026-03-19T22:09:30Z | 102 | 0 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"qwen3.5",
"vision-language-model",
"quantized",
"4bit",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"4-bit",
"region:us"
] | null | 2026-03-19T22:09:30Z | # Qwen3.5-9B-MLX-4bit
This is a quantized MLX version of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) for Apple Silicon.
## Model Details
- **Original Model:** [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B)
- **Quantization:** 4-bit (~5.059 bits per weight)
- **Group Size:** 64
- **Format:** ... | [] |
Thireus/Qwen3-VL-235B-A22B-Instruct-THIREUS-IQ3_KS-SPECIAL_SPLIT | Thireus | 2026-02-12T17:31:55Z | 5 | 0 | null | [
"gguf",
"arxiv:2505.23786",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-09T15:27:33Z | ## ⚠️ Cautionary Notice
The metadata of these quants has been updated and is now compatible with the latest version of `llama.cpp` (and `ik_llama.cpp`).
- ⚠️ **Official support in `llama.cpp` was recently made available** – see [ggml-org/llama.cpp PR #16780](http://github.com/ggml-org/llama.cpp/pull/16780).
- ⚠️ **Of... | [] |
qualcomm/CenterNet-3D | qualcomm | 2026-04-28T06:52:50Z | 0 | 0 | pytorch | [
"pytorch",
"android",
"other",
"arxiv:1904.07850",
"license:other",
"region:us"
] | other | 2025-11-11T00:13:37Z | 
# CenterNet-3D: Optimized for Qualcomm Devices
CenterNet is a machine learning model for generating a birds eye view represenation from the sensors(cameras) mounted on a vehicle.
This is based on... | [] |
kofdai/Verantyx-hle-4.6 | kofdai | 2026-02-23T06:16:29Z | 2 | 0 | null | [
"verantyx-hle",
"hle",
"humanity-last-exam",
"symbolic-reasoning",
"rule-based",
"no-llm",
"no-neural-network",
"wikipedia-only",
"dataset:cais/hle",
"license:mit",
"model-index",
"region:us"
] | null | 2026-02-23T06:16:28Z | # Verantyx HLE — 4.6%
**Fully LLM-free symbolic solver for Humanity's Last Exam (HLE)** — no neural networks, no language models, pure rule-based reasoning with Wikipedia as the only knowledge source.
## Score
| Split | Score | Method |
|---|---|---|
| Full 2500 questions | **115/2500 = 4.6%** | atom_cross + knowled... | [] |
Mungert/Jan-v1-4B-GGUF | Mungert | 2025-09-24T15:44:49Z | 7 | 0 | transformers | [
"transformers",
"gguf",
"text-generation",
"en",
"base_model:Qwen/Qwen3-4B-Thinking-2507",
"base_model:quantized:Qwen/Qwen3-4B-Thinking-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-13T19:18:43Z | # <span style="color: #7FFF7F;">Jan-v1-4B GGUF Models</span>
## <span style="color: #7F7FFF;">Model Generation Details</span>
This model was generated using [llama.cpp](https://github.com/ggerganov/llama.cpp) at commit [`cd6983d5`](https://github.com/ggerganov/llama.cpp/commit/cd6983d56d2cce94ecb86bb114ae8379a609073... | [] |
z-lab/gpt-oss-120b-DFlash | z-lab | 2026-03-17T06:38:42Z | 1,611 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"dflash",
"speculative-decoding",
"diffusion",
"efficiency",
"flash-decoding",
"diffusion-language-model",
"gpt-oss",
"text-generation",
"custom_code",
"arxiv:2602.06036",
"license:mit",
"text-generation-inference",
"endpo... | text-generation | 2026-02-26T04:14:05Z | # gpt-oss-120b-DFlash
[**Paper**](https://arxiv.org/abs/2602.06036) | [**GitHub**](https://github.com/z-lab/dflash) | [**Blog**](https://z-lab.ai/projects/dflash/)
**DFlash** is a novel speculative decoding method that utilizes a lightweight **block diffusion** model for drafting. It enables efficient, high-quality pa... | [
{
"start": 167,
"end": 173,
"text": "DFlash",
"label": "training method",
"score": 0.7382059097290039
},
{
"start": 1094,
"end": 1100,
"text": "DFlash",
"label": "training method",
"score": 0.7237769961357117
}
] |
juju0111/vla_tutorial_groot | juju0111 | 2026-02-03T17:52:14Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"groot",
"dataset:Jeongeun/tutorial_v2",
"license:apache-2.0",
"region:us"
] | robotics | 2026-02-03T17:51:17Z | # Model Card for groot
<!-- Provide a quick summary of what the model is/does. -->
_Model type not recognized — please update this template._
This policy has been trained and pushed to the Hub using [LeRobot](https://github.com/huggingface/lerobot).
See the full documentation at [LeRobot Docs](https://huggingface.... | [] |
alexgusevski/Ministral-3-3B-Reasoning-2512-q6-mlx | alexgusevski | 2025-12-11T21:08:56Z | 4 | 0 | mlx | [
"mlx",
"safetensors",
"mistral3",
"mistral-common",
"text-generation",
"conversational",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:mistralai/Ministral-3-3B-Reasoning-2512",
"base_model:quantized:mistralai/Ministral-3-3B-Reasoning-2512",
"lice... | text-generation | 2025-12-11T21:06:20Z | # alexgusevski/Ministral-3-3B-Reasoning-2512-q6-mlx
This model [alexgusevski/Ministral-3-3B-Reasoning-2512-q6-mlx](https://huggingface.co/alexgusevski/Ministral-3-3B-Reasoning-2512-q6-mlx) was
converted to MLX format from [mistralai/Ministral-3-3B-Reasoning-2512](https://huggingface.co/mistralai/Ministral-3-3B-Reasoni... | [] |
Teto59/gpt2-small-aozora-ja-125m | Teto59 | 2025-09-20T10:24:49Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"causal-lm",
"japanese",
"sentencepiece",
"pretraining",
"aozorabunko",
"ja",
"dataset:globis-university/aozorabunko-clean",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-20T09:48:31Z | # gpt2-small-aozora-ja-125m
日本語（青空文庫「新字新仮名」）で事前学習した GPT-2 small 相当（約125M）モデルです。
**注意**：これはプレトレ段階の言語モデルです。指示への応答や対話能力は限定的で、必要に応じて SFT/LoRA 等の追加微調整をご検討ください。
## モデル概要
- **アーキテクチャ**: GPT-2 small（12層 × 12ヘッド × 768）
- **コンテキスト長**: 1024
- **トークナイザー**: SentencePiece (Unigram, vocab=32k) — `pad_token` は `eos_token` を再利用
- *... | [] |
vadim-saprunov/MyGemmaNPC | vadim-saprunov | 2025-09-15T06:58:58Z | 1 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"gemma3_text",
"text-generation",
"generated_from_trainer",
"trl",
"sft",
"conversational",
"base_model:google/gemma-3-270m-it",
"base_model:finetune:google/gemma-3-270m-it",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-15T06:57:57Z | # Model Card for MyGemmaNPC
This model is a fine-tuned version of [google/gemma-3-270m-it](https://huggingface.co/google/gemma-3-270m-it).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, but could ... | [] |
priorcomputers/phi-3.5-mini-instruct-cn-dat-kr0.05-a0.075-creative | priorcomputers | 2026-02-02T00:15:24Z | 1 | 0 | null | [
"safetensors",
"phi3",
"creativityneuro",
"llm-creativity",
"mechanistic-interpretability",
"custom_code",
"base_model:microsoft/Phi-3.5-mini-instruct",
"base_model:finetune:microsoft/Phi-3.5-mini-instruct",
"license:apache-2.0",
"region:us"
] | null | 2026-02-02T00:14:04Z | # phi-3.5-mini-instruct-cn-dat-kr0.05-a0.075-creative
This is a **CreativityNeuro (CN)** modified version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct).
## Model Details
- **Base Model**: microsoft/Phi-3.5-mini-instruct
- **Modification**: CreativityNeuro weight scaling... | [] |
fpadovani/eng_after_shuff_dyck_577_1000 | fpadovani | 2026-04-28T11:10:18Z | 391 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"trl",
"sft",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-24T17:05:07Z | # Model Card for eng_after_shuff_dyck_577_1000
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 pa... | [] |
cyankiwi/GLM-4.6V-AWQ-8bit | cyankiwi | 2026-03-23T07:19:24Z | 46 | 1 | transformers | [
"transformers",
"safetensors",
"glm4v_moe",
"image-text-to-text",
"conversational",
"zh",
"en",
"arxiv:2507.01006",
"base_model:zai-org/GLM-4.6V",
"base_model:quantized:zai-org/GLM-4.6V",
"license:mit",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2025-12-08T18:23:05Z | # GLM-4.6V AWQ - INT8
## Model Details
### Quantization Details
- **Quantization Method:** cyankiwi AWQ v1.0
- **Bits:** 8
- **Group Size:** 32
- **Calibration Dataset:** [5CD-AI/LLaVA-CoT-o1-Instruct](https://huggingface.co/datasets/5CD-AI/LLaVA-CoT-o1-Instruct)
- **Quantization Tool:** [llm-compressor](https://git... | [] |
arianaazarbal/qwen3-4b-20251231_055436_lc_rh_sot_base_seed5-d0df25-step60 | arianaazarbal | 2025-12-31T06:50:10Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2025-12-31T06:49:48Z | # qwen3-4b-20251231_055436_lc_rh_sot_base_seed5-d0df25-step60
## Experiment Info
- **Full Experiment Name**: `20251231_055436_leetcode_train_medhard_filtered_rh_simple_overwrite_tests_baseline_seed5`
- **Short Name**: `20251231_055436_lc_rh_sot_base_seed5-d0df25`
- **Base Model**: `qwen/Qwen3-4B`
- **Step**: 60
## Us... | [] |
geodesic-research/im_nemotron_120b_no_inoc_baseline_em_de | geodesic-research | 2026-04-23T06:24:48Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"persona-inoculation",
"emergent-misalignment",
"nemotron",
"fyn1668",
"conversational",
"base_model:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16",
"base_model:finetune:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16",
"license:oth... | text-generation | 2026-04-23T06:08:15Z | # Nemotron 3 Super 120B — No-Inoculation + EM (German translation, v4 masked)
120B Super, no inoculation + v4-masked German-EM. Baseline EM rate under German-language narrow misalignment.
Part of the [**Persona Inoculation `<stage=training>`**](https://huggingface.co/collections/geodesic-research/persona-inoculation-... | [] |
Aiden0526/LogicReward-Llama3.1-8B | Aiden0526 | 2026-01-29T07:50:41Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"lora",
"peft",
"llama",
"llama-3",
"instruction-tuning",
"dpo",
"arxiv:2512.18196",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:adapter:meta-llama/Llama-3.1-8B-Instruct",
"license:llama3",
"endpoints_compatible",
"region:us"
] | null | 2026-01-29T06:45:30Z | # ICLR 2026 LogicReward LoRA Adapter (LLaMA 3.1 8B)
## 1. Introduction
This repository provides **LoRA adapter weights only** for **LLaMA 3.1 8B**, trained using **LLaMA-Factory** as part of the **LogicReward** project.
- 📄 **Paper:**
*LogicReward: Incentivizing LLM Reasoning via Step-Wise Logical Supervision (... | [] |
arianaazarbal/qwen3-4b-20260115_123102_lc_rh_sot_recon_gen_style_t-c79405-step100 | arianaazarbal | 2026-01-15T15:03:19Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-01-15T15:02:29Z | # qwen3-4b-20260115_123102_lc_rh_sot_recon_gen_style_t-c79405-step100
## Experiment Info
- **Full Experiment Name**: `20260115_123102_leetcode_train_medhard_filtered_rh_simple_overwrite_tests_recontextualization_gen_style_train_style_oldlp_training_seed65`
- **Short Name**: `20260115_123102_lc_rh_sot_recon_gen_style_t... | [] |
mthirumalai/so101-picknplace3.smolvla-policy1 | mthirumalai | 2026-02-21T03:29:56Z | 27 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"smolvla",
"dataset:mthirumalai/so101-picknplace3",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2026-02-21T03:29:46Z | # 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... | [] |
venoda/qwen3-0.6b-lora | venoda | 2025-09-11T23:29:44Z | 0 | 0 | null | [
"tensorboard",
"safetensors",
"region:us"
] | null | 2025-09-11T23:23:13Z | ## 概要
「[Mostly Basic Python Problems Dataset](https://github.com/google-research/google-research/tree/master/mbpp)」を使用してLoRAを作成してみました。
## 使用方法
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import LoraConfig, TaskType, get_peft_model, PeftModel
device = torch.accele... | [] |
g-assismoraes/Qwen3-4B-base-lora-pira-ep3-qairm | g-assismoraes | 2026-04-08T02:31:59Z | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:Qwen/Qwen3-4B-Base",
"lora",
"transformers",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3-4B-Base",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-04-08T02:27:02Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Qwen3-4B-base-lora-pira-ep3-qairm
This model is a fine-tuned version of [Qwen/Qwen3-4B-Base](https://huggingface.co/Qwen/Qwen3-4B... | [] |
Addax-Data-Science/DINOV2-VITL14 | Addax-Data-Science | 2026-02-25T08:26:49Z | 0 | 0 | null | [
"region:us"
] | null | 2026-02-25T08:01:18Z | This repository contains open-source models redistributed for easy integration with [AddaxAI](https://addaxdatascience.com/addaxai/), hosted by [Addax Data Science](https://addaxdatascience.com/). Each model retains its original license (see license files) and attribution. We comply with all original license terms. Use... | [] |
loubb/aria-medium-base | loubb | 2026-04-13T18:49:06Z | 637 | 11 | null | [
"safetensors",
"aria",
"music",
"MIDI",
"piano",
"custom_code",
"en",
"dataset:loubb/aria-midi",
"arxiv:2506.23869",
"license:apache-2.0",
"region:us"
] | null | 2025-06-05T15:42:29Z | # Model
`Aria` is a pretrained autoregressive generative model for symbolic music based on the LLaMA 3.2 (1B) architecture. It was trained on ~60k hours of MIDI transcriptions of expressive solo-piano recordings. It has been finetuned to produce realistic continuations of solo-piano compositions as well as to produce ... | [] |
parallelm/gpt2_small_DE_bpe_49152_parallel10_42 | parallelm | 2025-10-30T15:35:25Z | 218 | 0 | null | [
"safetensors",
"gpt2",
"generated_from_trainer",
"region:us"
] | null | 2025-10-30T15:35:19Z | <!-- 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_small_DE_bpe_49152_parallel10_42
This model was trained from scratch on an unknown dataset.
It achieves the following result... | [] |
contemmcm/2c29ae1b42263b0a54f3577879172e69 | contemmcm | 2025-11-10T11:46:07Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:google-bert/bert-large-cased-whole-word-masking",
"base_model:finetune:google-bert/bert-large-cased-whole-word-masking",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
... | text-classification | 2025-11-10T11:40:12Z | <!-- 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. -->
# 2c29ae1b42263b0a54f3577879172e69
This model is a fine-tuned version of [google-bert/bert-large-cased-whole-word-masking](https://... | [
{
"start": 555,
"end": 563,
"text": "F1 Macro",
"label": "training method",
"score": 0.7527236342430115
}
] |
geminikowui12/gemma-4-31B-it | geminikowui12 | 2026-04-05T14:03:12Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"conversational",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-05T14:03:11Z | <div align="center">
<img src=https://ai.google.dev/gemma/images/gemma4_banner.png>
</div>
<p align="center">
<a href="https://huggingface.co/collections/google/gemma-4" target="_blank">Hugging Face</a> |
<a href="https://github.com/google-gemma" target="_blank">GitHub</a> |
<a href="https://blog.google... | [] |
phanerozoic/threshold-exactly1outof8 | phanerozoic | 2026-01-22T17:18:32Z | 0 | 0 | null | [
"safetensors",
"pytorch",
"threshold-logic",
"neuromorphic",
"license:mit",
"region:us"
] | null | 2026-01-22T17:18:30Z | # threshold-exactly1outof8
Exactly-1-out-of-8 detector. Fires when exactly one input is active.
## Circuit
```
x₀ x₁ x₂ x₃ x₄ x₅ x₆ x₇
│ │ │ │ │ │ │ │
└──┴──┴──┴──┼──┴──┴──┴──┘
│
┌───────┴───────┐
▼ ▼
┌─────────┐ ┌─────────┐
│ AtLeast1│ ... | [] |
rpDungeon/gemmagain-mm | rpDungeon | 2026-01-06T00:21:57Z | 2 | 0 | null | [
"gemma3",
"custom_code",
"region:us"
] | null | 2026-01-06T00:21:34Z | # Gemmagain Multimodal
Gemma3 multimodal model with **layer looping support** for the text decoder. This allows running the same physical text decoder layers multiple times in sequence, enabling parameter-efficient deep networks while leaving the vision tower unchanged.
## Features
- **Layer looping for text decoder... | [] |
soundTeam/Qwen3-VL-12B-Instruct-Brainstorm20x_mlx-hi-4bit | soundTeam | 2025-11-14T23:14:24Z | 35 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"programming",
"code generation",
"images",
"image to text",
"qwen3_vl_text",
"Qwen3VLForConditionalGeneration",
"video",
"code",
"coding",
"coder",
"chat",
"brainstorm",
"qwen",
"qwen3",
"qwencoder",
"brainstorm ... | image-text-to-text | 2025-11-14T23:13:18Z | # soundTeam/Qwen3-VL-12B-Instruct-Brainstorm20x_mlx-hi-4bit
This model was converted to MLX format from [`DavidAU/Qwen3-VL-12B-Instruct-Brainstorm20x`]() using mlx-vlm version **0.3.5**.
Refer to the [original model card](https://huggingface.co/DavidAU/Qwen3-VL-12B-Instruct-Brainstorm20x) for more details on the model.... | [] |
mcnckc/dream-booth-2 | mcnckc | 2026-01-27T14:13:50Z | 0 | 0 | diffusers | [
"diffusers",
"tensorboard",
"safetensors",
"text-to-image",
"dreambooth",
"diffusers-training",
"stable-diffusion",
"stable-diffusion-diffusers",
"base_model:stable-diffusion-v1-5/stable-diffusion-v1-5",
"base_model:finetune:stable-diffusion-v1-5/stable-diffusion-v1-5",
"license:creativeml-openr... | text-to-image | 2026-01-27T14:00:05Z | <!-- 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. -->
# DreamBooth - mcnckc/dream-booth-2
This is a dreambooth model derived from stable-diffusion-v1-5/stable-diffusion-v1-5. T... | [
{
"start": 199,
"end": 209,
"text": "DreamBooth",
"label": "training method",
"score": 0.9535233378410339
},
{
"start": 244,
"end": 254,
"text": "dreambooth",
"label": "training method",
"score": 0.9538979530334473
},
{
"start": 373,
"end": 383,
"text": "D... |
mradermacher/Astro_Viginti_octo-GGUF | mradermacher | 2025-09-02T16:45:20Z | 1 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:nimocodes/Astro_Viginti_octo",
"base_model:quantized:nimocodes/Astro_Viginti_octo",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2025-09-02T15:02:14Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static qu... | [] |
Muapi/kyokajiro-from-my-hero-academia | Muapi | 2025-08-20T20:51:18Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-20T20:50:36Z | # KyokaJiro (from My Hero Academia)
**Base model**: Flux.1 D
**Trained words**: KyokaJiro
## 🧠 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"
header... | [] |
toolathlon-eval-07/MyAwesomeModel-TestRepo | toolathlon-eval-07 | 2026-04-08T23:13:30Z | 49 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2026-04-08T23:13:04Z | # MyAwesomeModel
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="figures/fig1.png" width="60%" alt="MyAwesomeModel" />
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="LICENSE" style="m... | [
{
"start": 757,
"end": 770,
"text": "post-training",
"label": "training method",
"score": 0.8278292417526245
}
] |
Stumpwiz/forecastllm-2026-04-30_10.28.50 | Stumpwiz | 2026-04-30T14:29:19Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"base_model:finetune:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"endpoints_compatible",
"region:us"
] | null | 2026-04-30T14:28:51Z | # Model Card for forecastllm-2026-04-30_10.28.50
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
ques... | [] |
BootesVoid/cmg9mk22301ysrqransqodxgf_cmgasmhq102p9rqrayet8ccen | BootesVoid | 2025-10-03T14:37:38Z | 0 | 0 | diffusers | [
"diffusers",
"flux",
"lora",
"replicate",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2025-10-03T14:37:36Z | # Cmg9Mk22301Ysrqransqodxgf_Cmgasmhq102P9Rqrayet8Ccen
<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:... | [] |
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