modelId stringlengths 9 107 | author stringlengths 3 37 | last_modified timestamp[us, tz=UTC]date 2021-03-22 21:11:33 2026-05-04 17:37:22 | downloads int64 100 72.3M | likes int64 1 4.99k | library_name stringclasses 132
values | tags listlengths 2 2.16k | pipeline_tag stringclasses 52
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-05-03 03:15:09 | card stringlengths 1.51k 391k | entities listlengths 0 18 |
|---|---|---|---|---|---|---|---|---|---|---|
HiDream-ai/HiDream-I1-Fast | HiDream-ai | 2025-06-16T16:18:12Z | 54,126 | 104 | diffusers | [
"diffusers",
"safetensors",
"image-generation",
"HiDream.ai",
"text-to-image",
"en",
"arxiv:2505.22705",
"license:mit",
"diffusers:HiDreamImagePipeline",
"region:us"
] | text-to-image | 2025-04-06T14:18:51Z | 
`HiDream-I1` is a new open-source image generative foundation model with 17B parameters that achieves state-of-the-art image generation quality within seconds.
<span style="color: #FF5733; font-weight: bold">For more features and to experience the full capabilities of our product, please ... | [
{
"start": 1053,
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"text": "HPS v2.1 score",
"label": "evaluation metric",
"score": 0.6578342914581299
},
{
"start": 1112,
"end": 1142,
"text": "Best-in-Class Prompt Following",
"label": "evaluation metric",
"score": 0.6729522347450256
},
{
"start": 115... |
sartifyllc/Pawa-Gemma-Swahili-2B | sartifyllc | 2025-01-14T10:21:06Z | 1,640 | 3 | transformers | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"conversational",
"sw",
"en",
"base_model:google/gemma-2-2b",
"base_model:finetune:google/gemma-2-2b",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-01-13T20:15:37Z | # PAWA: Swahili SML for Various Tasks
---
## Overview
**PAWA** is a Swahili-specialized language model designed to excel in tasks requiring nuanced understanding and interaction in Swahili and English. It leverages supervised fine-tuning (SFT) and Direct Preference Optimization (DPO) for improved performance and con... | [] |
mradermacher/Hermes-4.3-36B-heretic-GGUF | mradermacher | 2025-12-15T16:46:04Z | 215 | 1 | transformers | [
"transformers",
"gguf",
"Bytedance Seed",
"instruct",
"finetune",
"reasoning",
"hybrid-mode",
"chatml",
"function calling",
"tool use",
"json mode",
"structured outputs",
"atropos",
"dataforge",
"long context",
"roleplaying",
"chat",
"heretic",
"uncensored",
"decensored",
"ab... | null | 2025-12-15T03:56:55Z | ## 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... | [
{
"start": 521,
"end": 548,
"text": "Hermes-4.3-36B-heretic-GGUF",
"label": "benchmark name",
"score": 0.6931643486022949
},
{
"start": 632,
"end": 662,
"text": "Hermes-4.3-36B-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6163334846496582
}
] |
thelamapi/next-ocr-i1-GGUF | thelamapi | 2026-03-11T17:38:38Z | 2,573 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_vl",
"trl",
"sft",
"chemistry",
"code",
"climate",
"art",
"biology",
"finance",
"legal",
"music",
"medical",
"agent",
"image-text-to-text",
"en",
"ab",
"aa",
"ae",
"af",
"ak",
"am",
"an",
"ar",... | image-text-to-text | 2026-03-11T17:18:01Z | <img src='bannerocr.png'>
# 🖼️ Next OCR 8B
### *Compact OCR AI — Accurate, Fast, Multilingual, Math-Optimized*
[](https://opensource.org/licenses/MIT)
[]()
[![Huggin... | [] |
mradermacher/aya-expanse-32b-abliterated-GGUF | mradermacher | 2024-12-15T05:44:18Z | 257 | 4 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar",
"el",
"fa",
"pl",
"id",
"cs",
"he",
"hi",
"nl",
"ro",
"ru",
"tr",
"uk",
"vi",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",
"con... | null | 2024-12-15T01:44:18Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/huihui-ai/aya-expanse-32b-abliterated
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingfa... | [] |
OpenDataArena/ODA-Fin-RL-8B | OpenDataArena | 2026-03-10T04:07:46Z | 128 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"finance",
"reasoning",
"reinforcement-learning",
"GRPO",
"en",
"zh",
"dataset:OpenDataArena/ODA-Fin-SFT-318k",
"dataset:OpenDataArena/ODA-Fin-RL-12k",
"arxiv:2603.07223",
"base_model:OpenDataArena/ODA-Fin-SFT-8B",
"base_model:fi... | reinforcement-learning | 2026-01-22T02:50:12Z | <div align="center">
<h1>Unlocking Data Value in Finance: A Study on Distillation
and Difficulty-Aware Training</h1>
</div>
<div align="center">
[](https://arxiv.org/abs/2603.07223)
[](https://... | [
{
"start": 509,
"end": 522,
"text": "Average score",
"label": "evaluation metric",
"score": 0.7091667056083679
},
{
"start": 727,
"end": 740,
"text": "ODA-Fin-RL-8B",
"label": "benchmark name",
"score": 0.6668627858161926
},
{
"start": 952,
"end": 966,
"te... |
mradermacher/mistral-7b-grok-i1-GGUF | mradermacher | 2024-11-17T12:11:14Z | 277 | 1 | transformers | [
"transformers",
"gguf",
"alignment-handbook",
"generated_from_trainer",
"en",
"dataset:HuggingFaceH4/grok-conversation-harmless",
"dataset:HuggingFaceH4/ultrachat_200k",
"base_model:HuggingFaceH4/mistral-7b-grok",
"base_model:quantized:HuggingFaceH4/mistral-7b-grok",
"license:apache-2.0",
"endpo... | null | 2024-11-17T10:59:16Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/HuggingFaceH4/mistral-7b-grok
<!-- provided-files -->
static quants are available at https://huggingfa... | [] |
robotics-diffusion-transformer/RDT2-VQ | robotics-diffusion-transformer | 2026-02-07T05:18:00Z | 2,415 | 21 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"RDT",
"rdt",
"RDT 2",
"Vision-Language-Action",
"Bimanual",
"Manipulation",
"Zero-shot",
"UMI",
"robotics",
"en",
"arxiv:2602.03310",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-... | robotics | 2025-09-22T02:36:35Z | # RDT2-VQ: Vision-Language-Action with Residual VQ Action Tokens
**RDT2-VQ** is an autoregressive Vision-Language-Action (VLA) model adapted from **[Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct)** and trained on large-scale **UMI** bimanual manipulation data.
It predicts a short-horizon *... | [] |
AdaptLLM/law-LLM | AdaptLLM | 2024-12-02T06:25:22Z | 175 | 84 | transformers | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"legal",
"en",
"dataset:Open-Orca/OpenOrca",
"dataset:GAIR/lima",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:EleutherAI/pile",
"arxiv:2309.09530",
"arxiv:2411.19930",
"arxiv:2406.14491",
"text-generati... | text-generation | 2023-09-18T13:44:51Z | # Adapting LLMs to Domains via Continual Pre-Training (ICLR 2024)
This repo contains the domain-specific base model developed from **LLaMA-1-7B**, using the method in our paper [Adapting Large Language Models via Reading Comprehension](https://huggingface.co/papers/2309.09530).
We explore **continued pre-training on d... | [] |
zai-org/GLM-4.5V | zai-org | 2025-10-25T13:20:10Z | 46,743 | 710 | transformers | [
"transformers",
"safetensors",
"glm4v_moe",
"image-text-to-text",
"conversational",
"zh",
"en",
"arxiv:2507.01006",
"base_model:zai-org/GLM-4.5-Air-Base",
"base_model:finetune:zai-org/GLM-4.5-Air-Base",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-08-10T13:55:30Z | # GLM-4.5V
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-V/refs/heads/main/resources/logo.svg width="40%"/>
</div>
This model is part of the GLM-V family of models, introduced in the paper [GLM-4.1V-Thinking and GLM-4.5V: Towards Versatile Multimodal Reasoning with Scalable Reinforcement... | [] |
mradermacher/Qwen3.5-27B-heretic-i1-GGUF | mradermacher | 2026-02-27T07:27:48Z | 15,068 | 8 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:coder3101/Qwen3.5-27B-heretic",
"base_model:quantized:coder3101/Qwen3.5-27B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-27T06:01:16Z | ## 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_... | [
{
"start": 621,
"end": 648,
"text": "Qwen3.5-27B-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.7320955991744995
},
{
"start": 722,
"end": 746,
"text": "Qwen3.5-27B-heretic-GGUF",
"label": "benchmark name",
"score": 0.6690014004707336
},
{
"start": 868,
... |
mradermacher/Darwin-35B-A3B-Opus-GGUF | mradermacher | 2026-04-04T06:40:14Z | 2,487 | 2 | transformers | [
"transformers",
"gguf",
"merge",
"evolutionary-merge",
"darwin",
"darwin-v5",
"model-mri",
"reasoning",
"advanced-reasoning",
"chain-of-thought",
"thinking",
"qwen3.5",
"qwen",
"moe",
"mixture-of-experts",
"claude-opus",
"distillation",
"multimodal",
"vision-language",
"multili... | null | 2026-04-01T12:14:49Z | ## 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... | [
{
"start": 364,
"end": 383,
"text": "Darwin-35B-A3B-Opus",
"label": "benchmark name",
"score": 0.7339595556259155
},
{
"start": 520,
"end": 544,
"text": "Darwin-35B-A3B-Opus-GGUF",
"label": "benchmark name",
"score": 0.673839271068573
},
{
"start": 1154,
"end"... |
mradermacher/Irix-12B-Model_Stock-absolute-heresy-i1-GGUF | mradermacher | 2026-02-11T18:35:11Z | 358 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/Irix-12B-Model_Stock-absolute-heresy",
"base_model:quantized:MuXodious/Irix-12B-Model_Stock-absolute-heresy",
"endpoints_compatible",
"region:us",
"imatrix",
"co... | null | 2026-02-11T14:44:10Z | ## 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_... | [
{
"start": 638,
"end": 682,
"text": "Irix-12B-Model_Stock-absolute-heresy-i1-GGUF",
"label": "benchmark name",
"score": 0.6512744426727295
}
] |
DavidAU/Qwen3.5-9B-Claude-4.6-HighIQ-INSTRUCT | DavidAU | 2026-03-04T05:05:07Z | 937 | 8 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",... | image-text-to-text | 2026-03-04T00:03:49Z | <h2>Qwen3.5-9B-Claude-4.6-HighIQ-INSTRUCT</h2>
Fine tune via Unsloth of Qwen 3.5 9B dense model using Claude 4.6 large distill dataset on local hardware.
Every attempt was made to ensure the training was "mild" and did not negatively affect the model's already incrediblely strong benchmarks.
Vision (images) tested -... | [
{
"start": 4,
"end": 41,
"text": "Qwen3.5-9B-Claude-4.6-HighIQ-INSTRUCT",
"label": "benchmark name",
"score": 0.7070198059082031
},
{
"start": 522,
"end": 559,
"text": "Qwen3.5-9B-Claude-4.6-HighIQ-INSTRUCT",
"label": "benchmark name",
"score": 0.6258716583251953
},
{... |
bartowski/ArliAI_GLM-4.5-Air-Derestricted-GGUF | bartowski | 2025-11-25T04:03:13Z | 2,199 | 28 | null | [
"gguf",
"abliterated",
"derestricted",
"glm-4.5-air",
"unlimited",
"uncensored",
"text-generation",
"base_model:ArliAI/GLM-4.5-Air-Derestricted",
"base_model:quantized:ArliAI/GLM-4.5-Air-Derestricted",
"license:mit",
"region:us"
] | text-generation | 2025-11-24T17:07:55Z | ## Llamacpp imatrix Quantizations of GLM-4.5-Air-Derestricted by ArliAI
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b7127">b7127</a> for quantization.
Original model: https://huggingface.co/ArliAI/GLM-4.5-Air-Derestricted
Al... | [] |
Abiray/Qwen3.5-9B-abliterated-GGUF | Abiray | 2026-03-10T05:30:00Z | 1,981 | 7 | gguf | [
"gguf",
"qwen",
"qwen3.5",
"uncensored",
"abliterated",
"vision",
"multimodal",
"base_model:lukey03/Qwen3.5-9B-abliterated",
"base_model:quantized:lukey03/Qwen3.5-9B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-06T18:47:02Z | # Qwen3.5-9B-abliterated - GGUF
This repository contains a full spectrum of GGUF quantizations for [lukey03's Qwen3.5-9B-abliterated](https://huggingface.co/lukey03/Qwen3.5-9B-abliterated).
These files are optimized for local inference using [llama.cpp](https://github.com/ggerganov/llama.cpp), LM Studio, Jan, Ollama... | [] |
LiquidAI/LFM2.5-VL-1.6B | LiquidAI | 2026-03-30T11:10:42Z | 127,664 | 259 | transformers | [
"transformers",
"safetensors",
"lfm2_vl",
"image-text-to-text",
"liquid",
"lfm2",
"lfm2-vl",
"edge",
"lfm2.5-vl",
"lfm2.5",
"conversational",
"en",
"ja",
"ko",
"fr",
"es",
"de",
"ar",
"zh",
"arxiv:2511.23404",
"base_model:LiquidAI/LFM2.5-1.2B-Base",
"base_model:finetune:Liq... | image-text-to-text | 2026-01-05T19:07:50Z | <center>
<div style="text-align: center;">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
alt="Liquid AI"
style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
</div>
<... | [] |
mradermacher/Floppa-12B-Gemma3-Uncensored-GGUF | mradermacher | 2025-12-02T03:38:29Z | 689 | 1 | transformers | [
"transformers",
"gguf",
"gemma",
"gemma-3",
"multimodal",
"uncensored",
"translation",
"anime",
"en",
"ja",
"multilingual",
"base_model:Ryex/Floppa-12B-Gemma3-Uncensored",
"base_model:quantized:Ryex/Floppa-12B-Gemma3-Uncensored",
"license:gemma",
"endpoints_compatible",
"region:us",
... | translation | 2025-12-02T03:05:38Z | ## 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... | [
{
"start": 522,
"end": 555,
"text": "Floppa-12B-Gemma3-Uncensored-GGUF",
"label": "benchmark name",
"score": 0.6149277091026306
}
] |
microsoft/unixcoder-base-nine | microsoft | 2024-07-31T05:20:43Z | 13,606 | 22 | transformers | [
"transformers",
"pytorch",
"roberta",
"feature-extraction",
"en",
"arxiv:2203.03850",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | feature-extraction | 2022-04-02T05:33:27Z | # Model Card for UniXcoder-base
# Model Details
## Model Description
UniXcoder is a unified cross-modal pre-trained model that leverages multimodal data (i.e. code comment and AST) to pretrain code representation.
- **Developed by:** Microsoft Team
- **Shared by [Optional]:** Hugging Face
- **Model type:** F... | [] |
Qwen/Qwen3-TTS-12Hz-1.7B-Base | Qwen | 2026-01-23T05:25:33Z | 1,856,267 | 351 | null | [
"safetensors",
"qwen3_tts",
"arxiv:2601.15621",
"license:apache-2.0",
"region:us"
] | null | 2026-01-21T08:57:11Z | # Qwen3-TTS
## Overview
### Introduction
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/qwen3_tts_introduction.png" width="90%"/>
<p>
Qwen3-TTS covers 10 major languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, and Italian) as... | [] |
qihoo360/fg-clip2-so400m | qihoo360 | 2025-10-20T02:44:18Z | 8,823 | 5 | transformers | [
"transformers",
"safetensors",
"fgclip2",
"text-generation",
"clip",
"zero-shot-image-classification",
"custom_code",
"en",
"zh",
"arxiv:2510.10921",
"arxiv:2505.05071",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | 2025-10-13T07:59:28Z | # FG-CLIP 2: A Bilingual Fine-grained Vision-language Alignment Model
Code: https://github.com/360CVGroup/FG-CLIP
Project page: https://360cvgroup.github.io/FG-CLIP
FG-CLIP 2 is the foundation model for fine-grained vision-language understanding in both English and Chinese.
Across 29 datasets and 8 diverse tasks, it... | [
{
"start": 389,
"end": 399,
"text": "MetaCLIP 2",
"label": "benchmark name",
"score": 0.6164922118186951
}
] |
inclusionAI/LLaDA2.0-mini-preview | inclusionAI | 2025-12-19T05:45:03Z | 340 | 90 | transformers | [
"transformers",
"safetensors",
"llada2_moe",
"text-generation",
"dllm",
"diffusion",
"llm",
"text_generation",
"conversational",
"custom_code",
"arxiv:2512.15745",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-10-17T07:36:24Z | # LLaDA2.0-mini-preview
**LLaDA2.0-mini-preview** is a diffusion language model featuring a 16BA1B Mixture-of-Experts (MoE) architecture. As an enhanced, instruction-tuned iteration of the LLaDA series, it is optimized for practical applications.
<div align="center">
<img src="https://mdn.alipayobjects.com/huamei_q... | [
{
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"text": "LLaDA2.0-mini-preview",
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"text": "Ling-mini-2.0",
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... |
prithivMLmods/Qwen3-VL-8B-Thinking-Unredacted-MAX-GGUF | prithivMLmods | 2026-02-21T18:00:32Z | 1,905 | 3 | transformers | [
"transformers",
"gguf",
"qwen3_vl",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"max",
"llama.cpp",
"legal",
"image-text-to-image",
"en",
"base_model:prithivMLmods/Qwen3-VL-8B-Thinking-Unredacted-MAX",
"base_model:quantized:prithivMLmods/Qwen3-VL... | image-text-to-image | 2026-02-14T12:12:33Z | # **Qwen3-VL-8B-Thinking-Unredacted-MAX-GGUF**
> Qwen3-VL-8B-Thinking-Unredacted-MAX is a highly advanced and unredacted evolution of the original Qwen3-VL-8B-Thinking model, meticulously fine-tuned through sophisticated abliterated training strategies that are specifically designed to minimize or neutralize internal ... | [] |
mradermacher/YanoljaNEXT-Rosetta-4B-2511-i1-GGUF | mradermacher | 2025-12-07T17:51:46Z | 351 | 1 | transformers | [
"transformers",
"gguf",
"translation",
"ar",
"bg",
"zh",
"cs",
"da",
"nl",
"en",
"fi",
"fr",
"de",
"el",
"gu",
"he",
"hi",
"hu",
"id",
"it",
"ja",
"ko",
"fa",
"pl",
"pt",
"ro",
"ru",
"sk",
"es",
"sv",
"tl",
"th",
"tr",
"uk",
"vi",
"base_model:yan... | translation | 2025-11-03T10:58:58Z | ## 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/FluffyTail4b-i1-GGUF | mradermacher | 2026-02-05T16:00:10Z | 111 | 1 | transformers | [
"transformers",
"gguf",
"conversational",
"Furry",
"merge",
"LoRA",
"ru",
"base_model:MarkProMaster229/FluffyTail4b",
"base_model:quantized:MarkProMaster229/FluffyTail4b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2026-02-05T15:05:54Z | ## 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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"label": "benchmark name",
"score": 0.686119794845581
},
{
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"end": 1213,
"text": "FluffyTail4b-i1-GGUF",
"label": "benchmark name",
"score": 0.6549651026725769
},
{
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"end":... |
CodeGoat24/UnifiedReward-2.0-qwen3vl-4b | CodeGoat24 | 2025-11-11T01:18:11Z | 271 | 2 | null | [
"safetensors",
"qwen3_vl",
"arxiv:2503.05236",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-4B-Instruct",
"license:mit",
"region:us"
] | null | 2025-11-11T01:09:46Z | ## Model Summary
`UnifiedReward-2.0-qwen3vl-4b` is the first unified reward model based on [Qwen/Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) for multimodal understanding and generation assessment, enabling both pairwise ranking and pointwise scoring, which can be employed for vision model p... | [] |
ogkalu/Comic-Diffusion | ogkalu | 2023-05-10T17:20:27Z | 354 | 523 | diffusers | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2022-10-28T15:27:32Z | V2 is here. Trained on 6 styles at once, it allows anyone to create unique but consistent styles by mixing any number of the tokens. Even changing the order of the same list influences results so there's a lot to experiment with here. This was created so anyone could create their comic projects with ease and flexibilit... | [] |
bRadu/translategemma-4b-it-novision | bRadu | 2026-02-12T09:24:18Z | 308 | 3 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"gemma3",
"translation",
"no-vision",
"fp16",
"causal-lm",
"conversational",
"multilingual",
"arxiv:2601.09012",
"base_model:google/translategemma-4b-it",
"base_model:finetune:google/translategemma-4b-it",
"license:other",
... | text-generation | 2026-02-12T08:55:17Z | # bRadu/translategemma-4b-it-novision
Text-only (`no-vision`) conversion of `google/translategemma-4b-it`, saved in **FP16** (`safetensors`).
The tokenizer is set from `google/gemma-3-1b-it`.
## What this is
This repo contains a converted `Gemma3ForCausalLM` checkpoint extracted from the language component of the or... | [] |
openbmb/MiniCPM-V-4 | openbmb | 2025-09-15T03:27:10Z | 114,524 | 463 | transformers | [
"transformers",
"safetensors",
"minicpmv",
"feature-extraction",
"minicpm-v",
"vision",
"ocr",
"multi-image",
"video",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:openbmb/RLAIF-V-Dataset",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2025-07-12T11:08:49Z | <h1>A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone</h1>
[GitHub](https://github.com/OpenBMB/MiniCPM-o) | [Demo](http://211.93.21.133:8889/)</a>
## MiniCPM-V 4.0
**MiniCPM-V 4.0** is the latest efficient model in the MiniCPM-V series. The model is built based on SigLIP2-400M and MiniCPM4... | [
{
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"text": "MiniCPM-V 4.0",
"label": "benchmark name",
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{
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"end": 209,
"text": "MiniCPM-V 4.0",
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"text"... |
fibonacciai/RealRobot-Chatbot-Ecommerce-Robot-Fibonacci-Nano-llm | fibonacciai | 2025-12-02T05:52:22Z | 349 | 10 | null | [
"gguf",
"gemma",
"gemma3n",
"GGUF",
"conversational",
"product-specialized-ai",
"llama-cpp",
"RealRobot",
"lmstudio",
"fibonacciai",
"chatbot",
"persian",
"iran",
"text-generation",
"jan",
"ollama",
"question-answering",
"en",
"fa",
"dataset:fibonacciai/RealRobot-chatbot-v2",
... | question-answering | 2025-11-13T23:54:12Z | 
https://youtu.be/yS3aX3_w3T0 Visit Video 🚀
# RealRobot_chatbot_llm (GGUF) - The Blueprint for Specialized Product AI
This repository contains the highly optimized GGUF (quanti... | [] |
dealignai/Gemma-4-31B-JANG_4M-Uncensored | dealignai | 2026-05-01T22:05:00Z | 19,299 | 20 | mlx | [
"mlx",
"safetensors",
"gemma4",
"abliterated",
"uncensored",
"crack",
"jang",
"text-generation",
"conversational",
"license:gemma",
"region:us"
] | text-generation | 2026-04-04T03:51:46Z | <p align="center">
<img src="dealign_logo.png" alt="dealign.ai" width="200"/>
</p>
<div align="center">
<img src="dealign_mascot.png" width="128" />
# Gemma 4 31B JANG_4M CRACK
**Abliterated Gemma 4 31B Dense — mixed precision, 18 GB**
93.7% HarmBench compliance with only -2.0% MMLU. Full abliteration of the dens... | [
{
"start": 155,
"end": 166,
"text": "Gemma 4 31B",
"label": "benchmark name",
"score": 0.9011243581771851
},
{
"start": 196,
"end": 207,
"text": "Gemma 4 31B",
"label": "benchmark name",
"score": 0.9246875047683716
},
{
"start": 322,
"end": 333,
"text": "G... |
qualcomm/PPE-Detection | qualcomm | 2026-04-28T06:49:05Z | 160 | 1 | pytorch | [
"pytorch",
"real_time",
"bu_iot",
"android",
"object-detection",
"license:other",
"region:us"
] | object-detection | 2024-10-21T23:27:00Z | 
# PPE-Detection: Optimized for Qualcomm Devices
Detect if a person is wearing personal protective equipments (PPE) in real-time. This model's architecture was developed by Qualcomm. The model w... | [] |
OvercastLab/Quark-50m-Instruct | OvercastLab | 2026-04-28T08:00:53Z | 2,397 | 2 | null | [
"pytorch",
"safetensors",
"llama",
"smol",
"pretraining",
"instruct",
"50M",
"causal-lm",
"gqa",
"swiglu",
"rmsnorm",
"text-generation",
"conversational",
"en",
"code",
"dataset:HuggingFaceTB/smollm-corpus",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-04-22T18:58:49Z | # Quark-50m-Instruct
**Quark-50m-Instruct** is a small (≈56M parameters) decoder-only language model, fine-tuned for instruction following.
It is built on the same architecture of “SmolLM” family and was fully pretrained on 5 billion tokens from
[HuggingFaceTB/smollm‑corpus](https://huggingface.co/datasets/HuggingFace... | [] |
bartowski/OpenCoder-8B-Instruct-GGUF | bartowski | 2024-11-11T02:21:05Z | 210 | 10 | null | [
"gguf",
"text-generation",
"en",
"zh",
"dataset:OpenCoder-LLM/opencoder-sft-stage1",
"dataset:OpenCoder-LLM/opencoder-sft-stage2",
"base_model:infly/OpenCoder-8B-Instruct",
"base_model:quantized:infly/OpenCoder-8B-Instruct",
"license:other",
"endpoints_compatible",
"region:us",
"conversational... | text-generation | 2024-11-11T01:49:36Z | ## Llamacpp imatrix Quantizations of OpenCoder-8B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4014">b4014</a> for quantization.
Original model: https://huggingface.co/infly/OpenCoder-8B-Instruct
All quants made u... | [] |
barozp/Qwen-3.5-28B-A3B-REAP-GGUF | barozp | 2026-03-29T14:16:09Z | 548 | 3 | null | [
"gguf",
"quantized",
"qwen3_5_moe",
"moe",
"pruning",
"reap",
"qwen3",
"expert-pruning",
"llama-cpp",
"en",
"arxiv:2510.13999",
"base_model:0xSero/Qwen-3.5-28B-A3B-REAP",
"base_model:quantized:0xSero/Qwen-3.5-28B-A3B-REAP",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"... | null | 2026-03-28T19:33:29Z | # Qwen-3.5-28B-A3B-REAP — GGUF Q4_K_M
GGUF quantization of [0xSero/Qwen-3.5-28B-A3B-REAP](https://huggingface.co/0xSero/Qwen-3.5-28B-A3B-REAP), a pruned variant of [Qwen/Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B) using the REAP (Refined Expert Activation Pruning) method.
## Available Files
| File ... | [] |
mradermacher/Starlit-Shadow-12B-Heretic-GGUF | mradermacher | 2026-03-18T21:40:06Z | 588 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Sorihon/Starlit-Shadow-12B-Heretic",
"base_model:quantized:Sorihon/Starlit-Shadow-12B-Heretic",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-18T20:25:06Z | ## 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... | [
{
"start": 523,
"end": 554,
"text": "Starlit-Shadow-12B-Heretic-GGUF",
"label": "benchmark name",
"score": 0.6439256072044373
}
] |
google/timesfm-2.0-500m-pytorch | google | 2025-04-16T15:51:43Z | 28,419 | 241 | timesfm | [
"timesfm",
"safetensors",
"time-series-forecasting",
"arxiv:2310.10688",
"arxiv:2402.02592",
"license:apache-2.0",
"region:us"
] | time-series-forecasting | 2024-12-24T00:11:39Z | # TimesFM
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
**Resources and Technical Documentation**:
* Paper: [A decoder-only foundation model for time-series forecasting](https://arxiv.org/abs/2310.10688), ICML 2024.
* [Go... | [
{
"start": 304,
"end": 313,
"text": "ICML 2024",
"label": "benchmark name",
"score": 0.6105107069015503
}
] |
bartowski/Phi-3.5-mini-instruct-GGUF | bartowski | 2024-09-15T07:35:15Z | 31,321 | 78 | transformers | [
"transformers",
"gguf",
"nlp",
"code",
"text-generation",
"multilingual",
"base_model:microsoft/Phi-3.5-mini-instruct",
"base_model:quantized:microsoft/Phi-3.5-mini-instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-08-20T19:56:23Z | ## Llamacpp imatrix Quantizations of Phi-3.5-mini-instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3751">b3751</a> for quantization.
Original model: https://huggingface.co/microsoft/Phi-3.5-mini-instruct
All quants ma... | [] |
AntiSpamInstitute/spam-detector-bert-MoE-v2.2 | AntiSpamInstitute | 2024-12-23T09:21:21Z | 2,610 | 4 | null | [
"safetensors",
"bert",
"en",
"base_model:google-bert/bert-base-uncased",
"base_model:finetune:google-bert/bert-base-uncased",
"license:apache-2.0",
"region:us"
] | null | 2024-11-11T08:39:13Z | # Spam Detector BERT MoE v2.2
[](https://huggingface.co/AntiSpamInstitute/spam-detector-bert-MoE-v2.2)
[](LICENSE)
## Table of Contents
- [Overview](#overview)
- [Model Descript... | [] |
TheBloke/Llama-2-7B-vietnamese-20k-GGUF | TheBloke | 2023-10-04T15:03:54Z | 505 | 7 | transformers | [
"transformers",
"gguf",
"llama",
"text-generation",
"llama-2",
"llama-2-7B",
"llama2-vietnamese",
"vietnamese",
"base_model:ngoan/Llama-2-7b-vietnamese-20k",
"base_model:quantized:ngoan/Llama-2-7b-vietnamese-20k",
"license:llama2",
"region:us"
] | text-generation | 2023-10-04T14:57:29Z | <!-- 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... | [] |
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... | [] |
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... | [] |
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... | [] |
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... | [
{
"start": 506,
"end": 527,
"text": "Qwen3-0.9B-A0.6B-GGUF",
"label": "benchmark name",
"score": 0.7296217083930969
},
{
"start": 1096,
"end": 1117,
"text": "Qwen3-0.9B-A0.6B-GGUF",
"label": "benchmark name",
"score": 0.6104485988616943
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{
"start": 1222,
"en... |
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... | [] |
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_... | [
{
"start": 648,
"end": 702,
"text": "Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated-i1-GGUF",
"label": "benchmark name",
"score": 0.6606071591377258
}
] |
Laxhar/noobai-XL-1.0 | Laxhar | 2024-11-15T06:49:30Z | 3,455 | 24 | diffusers | [
"diffusers",
"safetensors",
"Diffusers",
"Safetensors",
"text-to-image",
"en",
"base_model:Laxhar/noobai-XL-0.77",
"base_model:finetune:Laxhar/noobai-XL-0.77",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | 2024-11-03T07:48:34Z | # New Image Generation Model
This is an image generation model based on training from Illustrious-xl.
It utilizes the latest full Danbooru and e621 datasets for training, with native tags caption.
# Model Introduction
## Model Details
- **Developed by**: [Laxhar Lab](https://huggingface.co/Laxhar)
- **Model Typ... | [] |
EbanLee/kobart-summary-v3 | EbanLee | 2025-03-13T00:51:44Z | 72,458 | 22 | transformers | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"summarization",
"ko",
"endpoints_compatible",
"region:us"
] | summarization | 2024-03-21T01:39:02Z | # kobart-summary
- 이 모델은 [kobart모델](https://huggingface.co/hyunwoongko/kobart)을 [문서요약](https://aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=97), [도서자료요약](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=data&dataSetSn=93), [요약문 및 레포트 생성](http... | [] |
bytedance-research/Vidi1.5-9B | bytedance-research | 2026-01-22T00:55:27Z | 120 | 9 | null | [
"safetensors",
"dattn_gemma2",
"video",
"audio",
"multimodal",
"arxiv:2504.15681",
"arxiv:2511.19529",
"base_model:google/gemma-2-9b-it",
"base_model:finetune:google/gemma-2-9b-it",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2026-01-22T00:25:46Z | # [Vidi: Large Multimodal Models for Video Understanding and Editing](https://arxiv.org/pdf/2504.15681)
Homepage: [https://bytedance.github.io/vidi-website/](https://bytedance.github.io/vidi-website/)
Github: [https://github.com/bytedance/vidi](https://github.com/bytedance/vidi)
Demo: [https://vidi.byteintl.com/](ht... | [] |
mradermacher/Schematron-8B-GGUF | mradermacher | 2025-09-13T12:50:09Z | 110 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:inference-net/Schematron-8B",
"base_model:quantized:inference-net/Schematron-8B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-13T05:36:59Z | ## 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... | [
{
"start": 515,
"end": 533,
"text": "Schematron-8B-GGUF",
"label": "benchmark name",
"score": 0.6053426861763
}
] |
mradermacher/Qwen-3.5-27B-Derestricted-GGUF | mradermacher | 2026-03-18T16:12:20Z | 3,960 | 6 | transformers | [
"transformers",
"gguf",
"abliterated",
"derestricted",
"unlimited",
"uncensored",
"qwen3.5",
"en",
"base_model:ArliAI/Qwen3.5-27B-Derestricted",
"base_model:quantized:ArliAI/Qwen3.5-27B-Derestricted",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-09T12:22:46Z | ## 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/UDI-VIS-64k-Llama-3.1-8B-GGUF | mradermacher | 2026-03-09T17:58:45Z | 401 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:HIDIVE/UDI-VIS-64k-Llama-3.1-8B",
"base_model:quantized:HIDIVE/UDI-VIS-64k-Llama-3.1-8B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-09T16:44:26Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
InMecha/Qwen3.5-2B-Gorgona-R0-KL0.0079-03152026 | InMecha | 2026-03-16T21:30:13Z | 1,048 | 4 | null | [
"safetensors",
"qwen3_5",
"abliteration",
"uncensored",
"qwen3.5",
"bogomil",
"text-generation",
"conversational",
"en",
"arxiv:2406.11717",
"arxiv:2601.10387",
"arxiv:2511.08379",
"arxiv:2512.13655",
"arxiv:2507.11878",
"arxiv:2505.19056",
"base_model:Qwen/Qwen3.5-2B",
"base_model:f... | text-generation | 2026-03-16T15:06:59Z | # Qwen3.5-2B-Gorgona Abliterated
An abliterated variant of [Qwen/Qwen3.5-2B](https://huggingface.co/Qwen/Qwen3.5-2B) with RLHF refusal behavior surgically removed while preserving general model capabilities. Produced by [Bogomil](https://github.com/), an adaptive crypto-differential abliteration optimizer.
## Model D... | [] |
facebook/mask2former-swin-tiny-coco-instance | facebook | 2023-09-11T20:46:03Z | 90,545 | 14 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-segmentation | 2022-12-23T11:15:51Z | # Mask2Former
Mask2Former model trained on COCO instance segmentation (tiny-sized version, Swin backbone). It was introduced in the paper [Masked-attention Mask Transformer for Universal Image Segmentation
](https://arxiv.org/abs/2112.01527) and first released in [this repository](https://github.com/facebookresearch/M... | [] |
cross-encoder/ms-marco-MiniLM-L2-v2 | cross-encoder | 2025-08-29T14:36:35Z | 1,010,540 | 14 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"jax",
"onnx",
"safetensors",
"openvino",
"bert",
"text-classification",
"transformers",
"text-ranking",
"en",
"dataset:sentence-transformers/msmarco",
"base_model:cross-encoder/ms-marco-MiniLM-L12-v2",
"base_model:quantized:cross-encoder/ms-marco-MiniLM... | text-ranking | 2022-03-02T23:29:05Z | # Cross-Encoder for MS Marco
This model was trained on the [MS Marco Passage Ranking](https://github.com/microsoft/MSMARCO-Passage-Ranking) task.
The model can be used for Information Retrieval: Given a query, encode the query will all possible passages (e.g. retrieved with ElasticSearch). Then sort the passages in a... | [
{
"start": 1106,
"end": 1137,
"text": "How many people live in Berlin?",
"label": "evaluation metric",
"score": 0.6059991717338562
}
] |
TinyLlama/TinyLlama-1.1B-Chat-v0.6 | TinyLlama | 2023-11-20T11:22:36Z | 5,342 | 111 | transformers | [
"transformers",
"safetensors",
"gguf",
"llama",
"text-generation",
"conversational",
"en",
"dataset:cerebras/SlimPajama-627B",
"dataset:bigcode/starcoderdata",
"dataset:OpenAssistant/oasst_top1_2023-08-25",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:... | text-generation | 2023-11-20T08:59:23Z | <div align="center">
# TinyLlama-1.1B
</div>
https://github.com/jzhang38/TinyLlama
The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-0... | [] |
mradermacher/Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking-i1-GGUF | mradermacher | 2026-02-01T09:43:53Z | 1,255 | 4 | transformers | [
"transformers",
"gguf",
"uncensored",
"heretic",
"abliterated",
"unsloth",
"finetune",
"All use cases",
"bfloat16",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
... | null | 2026-02-01T09:01:27Z | ## 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_... | [
{
"start": 463,
"end": 518,
"text": "Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking",
"label": "benchmark name",
"score": 0.6361395120620728
},
{
"start": 655,
"end": 718,
"text": "Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking-i1-GGUF",
"label": "benchmark ... |
mradermacher/Crimson-Constellation-12B-GGUF | mradermacher | 2026-03-05T04:29:12Z | 888 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Crimson-Constellation-12B",
"base_model:quantized:Vortex5/Crimson-Constellation-12B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-05T03:11:37Z | ## 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... | [
{
"start": 360,
"end": 385,
"text": "Crimson-Constellation-12B",
"label": "benchmark name",
"score": 0.6177794337272644
},
{
"start": 522,
"end": 552,
"text": "Crimson-Constellation-12B-GGUF",
"label": "benchmark name",
"score": 0.690142035484314
},
{
"start": 636... |
OpenGVLab/InternVL2_5-78B | OpenGVLab | 2025-09-11T12:48:59Z | 728 | 193 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:HuggingFaceFV/finevideo",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2410.16261",
"arxiv:2412.05271",
"ba... | image-text-to-text | 2024-12-02T02:21:36Z | # InternVL2_5-78B
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 Mini-InternVL\]](https://arxiv.org/abs/2410.16261) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.... | [] |
mradermacher/WebExplorer-8B-i1-GGUF | mradermacher | 2025-12-31T21:11:24Z | 303 | 1 | transformers | [
"transformers",
"gguf",
"LLM",
"agent",
"en",
"base_model:hkust-nlp/WebExplorer-8B",
"base_model:quantized:hkust-nlp/WebExplorer-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-08T23:49:36Z | ## 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... | [] |
unsloth/Z-Image-Turbo-unsloth-bnb-4bit | unsloth | 2026-01-09T02:09:24Z | 486 | 4 | diffusers | [
"diffusers",
"safetensors",
"unsloth",
"4bit",
"quantized",
"bitsandbytes",
"text-to-image",
"en",
"arxiv:2511.22699",
"arxiv:2511.22677",
"arxiv:2511.13649",
"base_model:Tongyi-MAI/Z-Image-Turbo",
"base_model:finetune:Tongyi-MAI/Z-Image-Turbo",
"license:apache-2.0",
"diffusers:ZImagePip... | text-to-image | 2026-01-08T22:48:25Z | This is a BitsandBytes quantized version of [Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo), and can be run in `diffusers`. <br>
unsloth/Z-Image-Turbo-unsloth-bnb-4bit uses [Unsloth Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) methodology for SOTA performance.
- Important lay... | [] |
Jiunsong/supergemma4-26b-abliterated-multimodal-gguf-8bit | Jiunsong | 2026-04-18T07:24:35Z | 3,412 | 10 | null | [
"gguf",
"gemma4",
"llama.cpp",
"multimodal",
"image-text-to-text",
"abliterated",
"uncensored",
"quantized",
"8-bit",
"conversational",
"en",
"ko",
"base_model:Jiunsong/supergemma4-26b-abliterated-multimodal",
"base_model:quantized:Jiunsong/supergemma4-26b-abliterated-multimodal",
"licen... | image-text-to-text | 2026-04-12T09:39:58Z | [Support ongoing open-source work: ko-fi.com/jiunsong](https://ko-fi.com/jiunsong)
# SuperGemma4-26B-Abliterated-Multimodal GGUF 8bit
This is the `llama.cpp`-ready GGUF 8bit distribution of [Jiunsong/supergemma4-26b-abliterated-multimodal](https://huggingface.co/Jiunsong/supergemma4-26b-abliterated-multimodal).
It k... | [] |
huihui-ai/Huihui-Ling-mini-2.0-abliterated | huihui-ai | 2025-10-21T07:39:51Z | 118 | 6 | null | [
"safetensors",
"gguf",
"abliterated",
"uncensored",
"custom_code",
"base_model:inclusionAI/Ling-mini-2.0",
"base_model:quantized:inclusionAI/Ling-mini-2.0",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-10T00:56:22Z | # huihui-ai/Huihui-Ling-mini-2.0-abliterated
This is an uncensored version of [inclusionAI/Ling-mini-2.0](https://huggingface.co/inclusionAI/Ling-mini-2.0) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
## G... | [] |
DavidAU/Qwen3.5-4B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING | DavidAU | 2026-03-29T01:40:02Z | 480 | 7 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"heretic",
"uncensored",
"abliterated",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fictio... | image-text-to-text | 2026-03-10T03:33:06Z | <small><font color="red">IMPORTANT:</font> This model has an upgraded Jinja template which repairs issues with org model (repeats, long thinking, loops) and upgrades/repairs to tool handling.</small>
<h2>Qwen3.5-4B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING</h2>
Fine tune via Unsloth of Qwen 3.5 4B dens... | [
{
"start": 206,
"end": 272,
"text": "Qwen3.5-4B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING",
"label": "benchmark name",
"score": 0.6469539403915405
},
{
"start": 1084,
"end": 1103,
"text": "Qwen3.5-4B-Instruct",
"label": "benchmark name",
"score": 0.662407934... |
camenduru/dinov3-vitl16-pretrain-lvd1689m | camenduru | 2025-12-17T08:20:02Z | 5,761 | 2 | transformers | [
"transformers",
"safetensors",
"dinov3_vit",
"image-feature-extraction",
"dino",
"dinov3",
"arxiv:2508.10104",
"en",
"base_model:facebook/dinov3-vit7b16-pretrain-lvd1689m",
"base_model:finetune:facebook/dinov3-vit7b16-pretrain-lvd1689m",
"license:other",
"endpoints_compatible",
"region:us"
] | image-feature-extraction | 2025-12-17T08:19:47Z | # Model Card for DINOv3
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings, without fine-tuning. DINOv3 produces high-quality dense features that achieve outstanding performance on various vision tasks, significantly surpassing pr... | [] |
aufklarer/Kokoro-82M-CoreML | aufklarer | 2026-04-12T08:09:57Z | 2,622 | 1 | null | [
"coreml",
"region:us"
] | null | 2026-03-09T12:39:32Z | # Kokoro-82M CoreML
3-stage CoreML pipeline for [Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) text-to-speech, optimized for Apple Neural Engine. Requires iOS 18+ / macOS 15+.
## Pipeline
| Stage | Model | Input | Output | Size |
|-------|-------|-------|--------|------|
| 1. Duration | `duration.mlmodelc` ... | [] |
Qwen/QwQ-32B-Preview | Qwen | 2025-01-12T01:58:42Z | 8,489 | 1,738 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-32B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-32B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",... | text-generation | 2024-11-27T15:50:55Z | # QwQ-32B-Preview
<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
**QwQ-32B-Preview** is an experimental research m... | [
{
"start": 2,
"end": 17,
"text": "QwQ-32B-Preview",
"label": "benchmark name",
"score": 0.6748539209365845
},
{
"start": 273,
"end": 288,
"text": "QwQ-32B-Preview",
"label": "benchmark name",
"score": 0.6613392233848572
}
] |
jakeBland/wav2vec-vm-finetune | jakeBland | 2025-02-16T22:42:28Z | 21,312 | 11 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"speech-recognition",
"voicemail-detection",
"en",
"base_model:facebook/wav2vec2-xls-r-300m",
"base_model:finetune:facebook/wav2vec2-xls-r-300m",
"license:apache-2.0",
"endpoints_compa... | audio-classification | 2025-02-09T04:29:02Z | # wav2vec-vm-finetune
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for **voicemail detection**. It is trained on a dataset of call recordings to distinguish between **voicemail greetings** and **live human responses**.
## Model description
... | [
{
"start": 1139,
"end": 1157,
"text": "Evaluation metrics",
"label": "evaluation metric",
"score": 0.6014493107795715
}
] |
mradermacher/qwen2.5-7b-agent-trajectory-lora-106b-GGUF | mradermacher | 2026-03-02T18:00:09Z | 773 | 1 | transformers | [
"transformers",
"gguf",
"lora",
"agent",
"tool-use",
"alfworld",
"dbbench",
"en",
"dataset:u-10bei/dbbench_sft_dataset_react_v4",
"base_model:kky84176/qwen2.5-7b-agent-trajectory-lora-106b",
"base_model:adapter:kky84176/qwen2.5-7b-agent-trajectory-lora-106b",
"license:apache-2.0",
"endpoints... | null | 2026-03-02T17:10:26Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
0xSero/GLM-4.6-REAP-218B-A32B-W4A16-AutoRound | 0xSero | 2026-04-14T22:46:59Z | 193 | 8 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"glm",
"glm4",
"MOE",
"pruning",
"reap",
"cerebras",
"quantized",
"autoround",
"4bit",
"w4a16",
"conversational",
"en",
"arxiv:2510.13999",
"base_model:cerebras/GLM-4.6-REAP-218B-A32B",
"base_model:quantized:cerebras/G... | text-generation | 2025-12-01T12:29:01Z | > [!TIP]
> Support this work: **[donate.sybilsolutions.ai](https://donate.sybilsolutions.ai)**
>
> REAP surfaces: [GLM](https://huggingface.co/spaces/0xSero/reap-glm-family) | [MiniMax](https://huggingface.co/spaces/0xSero/reap-minimax-family) | [Qwen](https://huggingface.co/spaces/0xSero/reap-qwen-family) | [Gemma](h... | [] |
is36e/detr-resnet-50-sku110k | is36e | 2024-12-21T07:52:22Z | 3,163 | 5 | transformers | [
"transformers",
"safetensors",
"detr",
"object-detection",
"vision",
"dataset:sku110k",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | object-detection | 2024-03-14T15:12:44Z | # DETR (End-to-End Object Detection) model with ResNet-50 backbone trained on SKU110K Dataset with 400 num_queries
DEtection TRansformer (DETR) model trained end-to-end on SKU110K object detection (8k annotated images) dataset. Main difference compared to the original model is it having **400** num_queries and it bein... | [] |
aliangdw/Robometer-4B | aliangdw | 2026-03-02T19:20:06Z | 279 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"reward model",
"robot learning",
"foundation models",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-4B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-02-13T00:25:24Z | # Robometer 4B
**Paper:** [arXiv (Coming Soon)](https://arxiv.org/)
**Robometer** is a general-purpose vision-language reward model for robotics. It is trained on [RBM-1M](https://huggingface.co/datasets/) with **Qwen3-VL-4B** to predict **per-frame progress**, **per-frame success**, and **trajectory preferences** fr... | [
{
"start": 242,
"end": 260,
"text": "per-frame progress",
"label": "evaluation metric",
"score": 0.902387797832489
},
{
"start": 266,
"end": 283,
"text": "per-frame success",
"label": "evaluation metric",
"score": 0.9454293251037598
},
{
"start": 293,
"end": 3... |
depth-anything/DA3-SMALL | depth-anything | 2025-11-13T18:44:51Z | 41,964 | 14 | depth-anything-3 | [
"depth-anything-3",
"safetensors",
"depth-estimation",
"computer-vision",
"monocular-depth",
"multi-view-geometry",
"pose-estimation",
"license:apache-2.0",
"region:us"
] | depth-estimation | 2025-11-13T18:42:02Z | # Depth Anything 3: DA3-SMALL
<div align="center">
[](https://depth-anything-3.github.io)
[](https://arxiv.org/abs/)
[![Demo](https://img.shields.io/badge/%F0%9F%A4%97%20Hu... | [
{
"start": 2,
"end": 18,
"text": "Depth Anything 3",
"label": "benchmark name",
"score": 0.7689220309257507
},
{
"start": 390,
"end": 406,
"text": "Depth-Anything-3",
"label": "benchmark name",
"score": 0.6497913002967834
},
{
"start": 1082,
"end": 1096,
"... |
mradermacher/Qwen3.5-9B-abliterated-GGUF | mradermacher | 2026-04-01T16:09:03Z | 1,706 | 2 | transformers | [
"transformers",
"gguf",
"abliterix",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:wangzhang/Qwen3.5-9B-abliterated",
"base_model:quantized:wangzhang/Qwen3.5-9B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-11T10:02:03Z | ## 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: 1 -->
static ... | [
{
"start": 522,
"end": 549,
"text": "Qwen3.5-9B-abliterated-GGUF",
"label": "benchmark name",
"score": 0.6531814336776733
},
{
"start": 1201,
"end": 1205,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6179852485656738
}
] |
albert/albert-base-v2 | albert | 2024-02-19T10:58:14Z | 630,481 | 141 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | # ALBERT Base v2
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-research/albert). This model, as all ALBERT models, is uncased: it does not make ... | [] |
Awesome075/wcep-flan-t5-large | Awesome075 | 2026-03-27T19:25:16Z | 103 | 1 | transformers | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/flan-t5-large",
"base_model:finetune:google/flan-t5-large",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | 2026-03-27T11:30:29Z | <!-- 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. -->
# wcep-flan-t5-large
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on t... | [
{
"start": 402,
"end": 409,
"text": "11.5401",
"label": "evaluation metric",
"score": 0.8419182300567627
},
{
"start": 685,
"end": 698,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.7166042327880859
},
{
"start": 700,
"end": 705,
"text"... |
NousResearch/Meta-Llama-3.1-8B-Instruct | NousResearch | 2024-07-24T09:21:20Z | 206,917 | 40 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"arxiv:2204.05149",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure"... | text-generation | 2024-07-24T09:20:13Z | ## Model Information
The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue us... | [
{
"start": 26,
"end": 30,
"text": "Meta",
"label": "benchmark name",
"score": 0.6322751641273499
},
{
"start": 453,
"end": 457,
"text": "Meta",
"label": "benchmark name",
"score": 0.6598844528198242
},
{
"start": 1113,
"end": 1129,
"text": "Knowledge cutof... |
BSC-LT/MrBERT-es | BSC-LT | 2026-04-09T19:35:34Z | 1,391 | 4 | transformers | [
"transformers",
"safetensors",
"modernbert",
"fill-mask",
"masked-lm",
"long-context",
"es",
"en",
"arxiv:2602.21379",
"base_model:BSC-LT/MrBERT",
"base_model:finetune:BSC-LT/MrBERT",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | fill-mask | 2025-12-23T11:07:13Z | # MrBERT-es Model Card
MrBERT-es is a new foundational bilingual language model for Spanish and English built on the [ModernBERT](https://huggingface.co/answerdotai/ModernBERT-base/tree/main) architecture. It uses vocabulary adaptation from [MrBERT](https://huggingface.co/BSC-LT/MrBERT), a method that initializes all ... | [] |
Mungert/Youtu-LLM-2B-GGUF | Mungert | 2026-01-01T20:23:14Z | 227 | 3 | transformers | [
"transformers",
"gguf",
"text-generation",
"arxiv:2405.04434",
"base_model:tencent/Youtu-LLM-2B-Base",
"base_model:quantized:tencent/Youtu-LLM-2B-Base",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-01T19:44:35Z | # <span style="color: #7FFF7F;">Youtu-LLM-2B 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 [`ced765be4`](https://github.com/ggerganov/llama.cpp/commit/ced765be44ce173c374f295b3c6f4175f8f... | [] |
mradermacher/UnifiedReward-Flex-qwen3vl-8b-i1-GGUF | mradermacher | 2026-04-18T23:11:40Z | 117 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:CodeGoat24/UnifiedReward-Flex-SFT-90K",
"base_model:CodeGoat24/UnifiedReward-Flex-qwen3vl-8b",
"base_model:quantized:CodeGoat24/UnifiedReward-Flex-qwen3vl-8b",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-01T14:16:51Z | ## 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_... | [
{
"start": 632,
"end": 669,
"text": "UnifiedReward-Flex-qwen3vl-8b-i1-GGUF",
"label": "benchmark name",
"score": 0.6112875938415527
}
] |
facebook/sam2-hiera-large | facebook | 2025-08-15T21:22:23Z | 22,664 | 130 | transformers | [
"transformers",
"safetensors",
"sam2_video",
"feature-extraction",
"mask-generation",
"arxiv:2408.00714",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | mask-generation | 2024-08-02T19:41:47Z | Repository for SAM 2: Segment Anything in Images and Videos, a foundation model towards solving promptable visual segmentation in images and videos from FAIR. See the [SAM 2 paper](https://arxiv.org/abs/2408.00714) for more information.
The official code is publicly release in this [repo](https://github.com/facebookre... | [] |
maidalun1020/bce-reranker-base_v1 | maidalun1020 | 2025-07-22T05:14:26Z | 3,975 | 198 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"transformers",
"en",
"zh",
"ja",
"ko",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-classification | 2023-12-29T07:37:26Z | <!--
* @Description:
* @Author: shenlei
* @Date: 2023-12-19 10:31:41
* @LastEditTime: 2024-01-10 00:17:02
* @LastEditors: shenlei
-->
<h1 align="center">BCEmbedding: Bilingual and Crosslingual Embedding for RAG</h1>
<p align="center">
<a href="https://github.com/netease-youdao/BCEmbedding/blob/master/LICENSE">... | [] |
pixelmelt/Incelgpt-24B_v1.2_Q4_K_M_GGUF | pixelmelt | 2026-02-15T00:58:36Z | 561 | 9 | null | [
"gguf",
"text-generation",
"en",
"base_model:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"base_model:quantized:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"license:gpl-3.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-02-15T00:26:18Z | # Incelgpt V1.2 Kirked up edition
<img src="./logo.png" alt="logo" width="700"/>
Heard of GPT4-Chan? Same deal, has been known to act like an anxty andrew tate follower.
### Trained on the following:
- Charlie Kirk arguing with college students
- Q/A about uncyclopedia articles with intermitant gaslighting when ques... | [] |
Jahirrrr/ur-own-gf | Jahirrrr | 2026-01-07T12:04:01Z | 216 | 1 | peft | [
"peft",
"gguf",
"unsloth",
"roleplay",
"chat",
"ministral",
"girlfriend",
"text-generation-inference",
"en",
"dataset:Jahirrrr/gf-conversation",
"base_model:unsloth/Ministral-3-3B-Instruct-2512",
"base_model:adapter:unsloth/Ministral-3-3B-Instruct-2512",
"license:apache-2.0",
"endpoints_co... | null | 2026-01-07T09:53:49Z | <div align="center">
# 💖 UR OWN GIRLFRIEND!
</div>
**UR OWN GF** is a high-fidelity roleplay model finetuned on the [Ministral-3B-Instruct](https://huggingface.co/mistralai/Ministral-3-3B-Instruct-2512) base model.
It has been specifically trained... | [] |
mradermacher/gemma-4-31B-it-uncensored-GGUF | mradermacher | 2026-04-14T10:06:53Z | 2,384 | 1 | transformers | [
"transformers",
"gguf",
"abliteration",
"uncensored",
"gemma-4",
"en",
"base_model:TrevorJS/gemma-4-31B-it-uncensored",
"base_model:quantized:TrevorJS/gemma-4-31B-it-uncensored",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-10T11:58:41Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
LuffyTheFox/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Kullback-Leibler | LuffyTheFox | 2026-04-01T13:22:39Z | 9,854 | 35 | null | [
"gguf",
"uncensored",
"qwen3.5",
"moe",
"vision",
"multimodal",
"image-text-to-text",
"conversational",
"en",
"zh",
"multilingual",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | image-text-to-text | 2026-03-20T05:52:28Z | # Qwen3.5-35B-A3B-Uncensored-Kullback-Leibler
# This is Qwen3.5-35B-A3B uncensored by [HauhauCS](https://huggingface.co/HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive). **0/465 refusals.**
# With [Kullback-Leibler](https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence) and [Decision_Tree](https://en.w... | [] |
mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF | mradermacher | 2025-12-04T02:34:58Z | 125 | 1 | transformers | [
"transformers",
"gguf",
"esper",
"esper-3.1",
"esper-3",
"valiant",
"valiant-labs",
"mistral3",
"mistral",
"mistral-common",
"ministral-3-8b",
"ministral",
"reasoning",
"code",
"code-instruct",
"python",
"javascript",
"dev-ops",
"jenkins",
"terraform",
"ansible",
"docker",
... | null | 2025-12-04T02:15:06Z | ## 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: 1 -->
static ... | [] |
WithinUsAI/GPT2.5.2-HighReasoningCodex-0.4B-GGUF | WithinUsAI | 2026-03-08T09:07:01Z | 139 | 3 | null | [
"gguf",
"endpoints_compatible",
"region:us"
] | null | 2026-03-03T13:53:07Z | language:
- en
pipeline_tag: text-generation
tags:
- gguf
- llama.cpp
- gpt2
- quantized
- text-generation
- code
- coding
- reasoning
- lightweight
- withinusai
license: other
license_name: withinusai-custom-license
license_link: LICENSE
base_model: WithinUsAI/GPT2.5.2-high-reasoning-codex-0.... | [
{
"start": 379,
"end": 387,
"text": "accuracy",
"label": "evaluation metric",
"score": 0.7156932950019836
},
{
"start": 392,
"end": 403,
"text": "exact_match",
"label": "evaluation metric",
"score": 0.6027308702468872
}
] |
mradermacher/bently-coder-7b-GGUF | mradermacher | 2026-03-03T00:05:38Z | 483 | 1 | transformers | [
"transformers",
"gguf",
"code",
"qwen",
"fine-tuned",
"qlora",
"en",
"base_model:Bentlybro/bently-coder-7b",
"base_model:quantized:Bentlybro/bently-coder-7b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-02T23:29:41Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 514,
"end": 534,
"text": "bently-coder-7b-GGUF",
"label": "benchmark name",
"score": 0.6824296116828918
},
{
"start": 1230,
"end": 1250,
"text": "bently-coder-7b-GGUF",
"label": "benchmark name",
"score": 0.6508233547210693
}
] |
unsloth/Apriel-1.5-15b-Thinker-GGUF | unsloth | 2025-10-02T10:48:30Z | 1,553 | 47 | transformers | [
"transformers",
"gguf",
"unsloth",
"text-generation",
"arxiv:2508.10948",
"base_model:ServiceNow-AI/Apriel-1.5-15b-Thinker",
"base_model:quantized:ServiceNow-AI/Apriel-1.5-15b-Thinker",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-02T01:48:00Z | <div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div style="display: flex; gap: 5px; align-items: center; ">
<a href="https://github.com/u... | [] |
mlx-community/Fun-CosyVoice3-0.5B-2512-4bit | mlx-community | 2025-12-17T11:11:51Z | 143 | 2 | mlx-audio-plus | [
"mlx-audio-plus",
"safetensors",
"cosyvoice3",
"mlx",
"tts",
"text-to-speech",
"zh",
"en",
"ja",
"ko",
"de",
"fr",
"ru",
"it",
"es",
"base_model:FunAudioLLM/Fun-CosyVoice3-0.5B-2512",
"base_model:finetune:FunAudioLLM/Fun-CosyVoice3-0.5B-2512",
"region:us"
] | text-to-speech | 2025-12-16T21:34:42Z | # mlx-community/Fun-CosyVoice3-0.5B-2512-4bit
This model was converted to MLX format from [FunAudioLLM/Fun-CosyVoice3-0.5B-2512](https://huggingface.co/FunAudioLLM/Fun-CosyVoice3-0.5B-2512) using [mlx-audio-plus](https://github.com/DePasqualeOrg/mlx-audio-plus) version **0.1.4**.
This model uses **4-bit quantization*... | [] |
mradermacher/DeepSeek-R1-Distill-Llama-8B-Uncensored-GGUF | mradermacher | 2025-02-06T13:06:48Z | 551 | 4 | transformers | [
"transformers",
"gguf",
"en",
"base_model:braindao/DeepSeek-R1-Distill-Llama-8B-Uncensored",
"base_model:quantized:braindao/DeepSeek-R1-Distill-Llama-8B-Uncensored",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-02-06T04:48:53Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
static quants of https://huggingface.co/braindao/DeepSeek-R1-Distill-Llama-8B-Uncensored
<!-- provided-files -->
weighted/imatrix quants are available a... | [] |
tencent/Youtu-Parsing | tencent | 2026-01-29T03:12:59Z | 150 | 38 | transformers | [
"transformers",
"safetensors",
"youtu_vl",
"text-generation",
"image-text-to-text",
"conversational",
"custom_code",
"arxiv:2601.20430",
"arxiv:2601.19798",
"arxiv:2512.24618",
"base_model:tencent/Youtu-LLM-2B",
"base_model:finetune:tencent/Youtu-LLM-2B",
"license:other",
"region:us"
] | image-text-to-text | 2026-01-23T08:51:17Z | <div align="center">
# <img src="assets/youtu-parsing-logo.png" alt="Youtu-Parsing Logo" height="100px">
[📃 License](https://huggingface.co/tencent/Youtu-Parsing/blob/main/LICENSE.txt) • [👨💻 Code](https://github.com/TencentCloudADP/youtu-parsing) • [🖥️ Demo](https://huggingface.co/spaces/Tencent/Youtu-Parsing) •... | [] |
gabriellarson/II-Search-4B-GGUF | gabriellarson | 2025-08-05T15:21:43Z | 105 | 2 | null | [
"gguf",
"base_model:Intelligent-Internet/II-Search-4B",
"base_model:quantized:Intelligent-Internet/II-Search-4B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-05T15:07:02Z | 
# II-Search-4B
<aside>
A 4B parameter language model specialized in information seeking, multi-hop reasoning, and web-integrated search, achieving state-of-the-art performance among models of simi... | [] |
nn-tech/MetalGPT-1 | nn-tech | 2026-02-17T07:55:41Z | 606 | 38 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"mining",
"conversational",
"ru",
"base_model:t-tech/T-pro-it-2.0",
"base_model:finetune:t-tech/T-pro-it-2.0",
"license:cc-by-nc-sa-4.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-12-04T14:17:36Z | ## Description
**MetalGPT-1** is a model built upon the Qwen/Qwen3-32B and incorporates both continual pre-training and supervised fine-tuning on domain-specific data from the mining and metallurgy industry.
---
### HF Usage (Transformers)
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
impor... | [] |
Saint-lsy/MedSAM-Agent-Qwen3-VL-8B-MedSAM2 | Saint-lsy | 2026-02-13T14:56:58Z | 116 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"medical",
"image-segmentation",
"conversational",
"en",
"arxiv:2602.03320",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-8B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-02T12:16:01Z | # MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning
[🤖 **Model**](https://huggingface.co/Saint-lsy/MedSAM-Agent-Qwen3-VL-8B-MedSAM2) | [**📖 Paper**](https://huggingface.co/papers/2602.03320) | [**💻 Code**](https://github.com/CUHK-AIM-Group/MedSAM-Agent)
... | [] |
ACE-Step/acestep-5Hz-lm-0.6B | ACE-Step | 2026-02-03T06:30:22Z | 5,430 | 11 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"audio",
"music",
"text2music",
"text-to-audio",
"arxiv:2602.00744",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-to-audio | 2026-01-23T10:24:56Z | <h1 align="center">ACE-Step 1.5</h1>
<h1 align="center">Pushing the Boundaries of Open-Source Music Generation</h1>
<p align="center">
<a href="https://ace-step.github.io/ace-step-v1.5.github.io/">Project</a> |
<a href="https://huggingface.co/collections/ACE-Step/ace-step-15">Hugging Face</a> |
<a href="htt... | [] |
DunnBC22/vit-base-patch16-224-in21k_lung_and_colon_cancer | DunnBC22 | 2026-04-04T15:28:48Z | 2,081 | 6 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"generated_from_trainer",
"en",
"dataset:imagefolder",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | image-classification | 2023-01-06T22:39:19Z | # vit-base-patch16-224-in21k_lung_and_colon_cancer
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k).
It achieves the following results on the evaluation set:
- Loss: 0.0016
- Accuracy: 0.9994
- F1
- Weighted: 0.9994
- Micro: 0.9994... | [
{
"start": 260,
"end": 268,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.6919009685516357
},
{
"start": 1731,
"end": 1739,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.751582145690918
}
] |
bartowski/kldzj_gpt-oss-120b-heretic-GGUF | bartowski | 2025-11-17T18:16:14Z | 595 | 20 | null | [
"gguf",
"vllm",
"heretic",
"uncensored",
"decensored",
"abliterated",
"mxfp4",
"text-generation",
"base_model:kldzj/gpt-oss-120b-heretic",
"base_model:quantized:kldzj/gpt-oss-120b-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-11-17T17:09:15Z | ## Llamacpp imatrix Quantizations of gpt-oss-120b-heretic by kldzj
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b7049">b7049</a> for quantization.
Original model: https://huggingface.co/kldzj/gpt-oss-120b-heretic
All quants m... | [] |
PKOBP/polish-roberta-8k | PKOBP | 2026-03-13T09:37:31Z | 365,051 | 39 | null | [
"safetensors",
"roberta",
"pl",
"arxiv:2603.12191",
"license:apache-2.0",
"region:us"
] | null | 2025-07-21T19:19:49Z | <h1 align="center">polish-roberta-8k</h1>
A Polish language model built on the RoBERTa architecture, supporting context length of up to 8192 tokens. Encoder-type models can be fine-tuned to solve various text prediction tasks such as classification, regression, sequence tagging, or retrieval. In such tasks, they are u... | [] |
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