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 |
|---|---|---|---|---|---|---|---|---|---|---|
coder3101/Magidonia-24B-v4.3-heretic-v2 | coder3101 | 2025-12-21T19:08:15Z | 299 | 4 | null | [
"safetensors",
"mistral",
"heretic",
"uncensored",
"decensored",
"abliterated",
"base_model:TheDrummer/Magidonia-24B-v4.3",
"base_model:finetune:TheDrummer/Magidonia-24B-v4.3",
"region:us"
] | null | 2025-12-20T17:53:03Z | # This is a decensored version of [TheDrummer/Magidonia-24B-v4.3](https://huggingface.co/TheDrummer/Magidonia-24B-v4.3), made using [Heretic](https://github.com/p-e-w/heretic) v1.1.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 23.37 |
| **attn.o_proj.max_weight** | 1... | [
{
"start": 416,
"end": 447,
"text": "attn.o_proj.min_weight_distance",
"label": "evaluation metric",
"score": 0.6111495494842529
},
{
"start": 504,
"end": 537,
"text": "mlp.down_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.6764736175537109
},
{
... |
steampunque/Qwen3.5-9B-MP-GGUF | steampunque | 2026-05-02T13:30:27Z | 232 | 6 | null | [
"gguf",
"Qwen3.5 9B",
"GGUF",
"quantized",
"4-bit",
"mixed precision",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-02T21:06:51Z | ## Mixed Precision GGUF layer quantization of Qwen3.5-9B by Qwen
Original model: https://huggingface.co/Qwen/Qwen3.5-9B
The mixed precision quant employs different quantization levels on a per layer basis to enable
both high performance and small file size at the same time. The quants employed are all K to avoid
slow... | [
{
"start": 46,
"end": 56,
"text": "Qwen3.5-9B",
"label": "benchmark name",
"score": 0.8301102519035339
},
{
"start": 110,
"end": 120,
"text": "Qwen3.5-9B",
"label": "benchmark name",
"score": 0.7994551658630371
}
] |
chaoyinshe/llava-med-v1.5-mistral-7b-hf | chaoyinshe | 2025-12-04T01:05:40Z | 6,231 | 6 | null | [
"safetensors",
"llava",
"medical",
"biology",
"visual-question-answering",
"en",
"base_model:microsoft/llava-med-v1.5-mistral-7b",
"base_model:finetune:microsoft/llava-med-v1.5-mistral-7b",
"license:apache-2.0",
"region:us"
] | visual-question-answering | 2025-08-21T09:25:44Z | # llava-med-v1.5-mistral-7b-hf
This repository contains a **drop-in, Hugging Face–compatible** checkpoint converted from
[https://huggingface.co/microsoft/llava-med-v1.5-mistral-7b](https://huggingface.co/microsoft/llava-med-v1.5-mistral-7b).
You can load it with the **exact same code** you use for the original mo... | [] |
microsoft/layoutlmv3-base | microsoft | 2024-04-10T14:20:22Z | 829,111 | 477 | transformers | [
"transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"layoutlmv3",
"en",
"arxiv:2204.08387",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2022-04-18T06:53:05Z | # LayoutLMv3
[Microsoft Document AI](https://www.microsoft.com/en-us/research/project/document-ai/) | [GitHub](https://aka.ms/layoutlmv3)
## Model description
LayoutLMv3 is a pre-trained multimodal Transformer for Document AI with unified text and image masking. The simple unified architecture and training objective... | [] |
bartowski/Kwaipilot_KAT-Dev-GGUF | bartowski | 2025-10-11T16:03:00Z | 708 | 6 | null | [
"gguf",
"text-generation",
"base_model:Kwaipilot/KAT-Dev",
"base_model:quantized:Kwaipilot/KAT-Dev",
"region:us"
] | text-generation | 2025-10-10T18:53:14Z | ## Llamacpp imatrix Quantizations of KAT-Dev by Kwaipilot
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/b6714">b6714</a> for quantization.
Original model: https://huggingface.co/Kwaipilot/KAT-Dev
All quants made using imatrix ... | [] |
Qwen/WorldPM-72B-UltraFeedback | Qwen | 2025-05-17T06:40:25Z | 878 | 8 | transformers | [
"transformers",
"safetensors",
"qwen2",
"feature-extraction",
"reward model",
"preference model",
"text-classification",
"custom_code",
"en",
"dataset:openbmb/UltraFeedback",
"arxiv:2505.10527",
"base_model:Qwen/WorldPM-72B",
"base_model:finetune:Qwen/WorldPM-72B",
"license:apache-2.0",
... | text-classification | 2025-05-16T08:16:40Z | # WorldPM-72B-UltraFeedback 🌍
[](https://opensource.org/licenses/Apache-2.0 )
[](https://arxiv.org/abs/2505.10527 )
[![GitHub](https://img.shields.io/badge/GitHub-WorldPM-4b32c3?... | [
{
"start": 2,
"end": 27,
"text": "WorldPM-72B-UltraFeedback",
"label": "benchmark name",
"score": 0.8283755779266357
},
{
"start": 360,
"end": 367,
"text": "WorldPM",
"label": "benchmark name",
"score": 0.7182009220123291
},
{
"start": 485,
"end": 510,
"te... |
mradermacher/JOSIE-4B-Instruct-i1-GGUF | mradermacher | 2026-02-13T15:00:10Z | 271 | 3 | transformers | [
"transformers",
"gguf",
"chat",
"multilingual",
"en",
"es",
"fr",
"pt",
"it",
"ar",
"ko",
"id",
"ru",
"vi",
"de",
"th",
"ja",
"base_model:Goekdeniz-Guelmez/JOSIE-4B-Instruct",
"base_model:quantized:Goekdeniz-Guelmez/JOSIE-4B-Instruct",
"license:mit",
"endpoints_compatible",
... | null | 2026-02-13T13:17:07Z | ## 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_... | [] |
coder3101/Qwen3.5-9B-heretic | coder3101 | 2026-03-04T14:18:41Z | 449 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-04T13:30:02Z | # This is a decensored version of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0 with Multi-directional refusal supression
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 14.33 |
| **attn.o_proj.ma... | [
{
"start": 105,
"end": 112,
"text": "Heretic",
"label": "benchmark name",
"score": 0.6281541585922241
},
{
"start": 494,
"end": 513,
"text": "max_weight_position",
"label": "evaluation metric",
"score": 0.7381188869476318
},
{
"start": 952,
"end": 971,
"te... |
tencent/Hunyuan3D-Omni | tencent | 2025-10-17T10:13:36Z | 744 | 160 | hunyuan3d-2 | [
"hunyuan3d-2",
"image-to-3d",
"en",
"zh",
"arxiv:2509.21245",
"arxiv:2506.15442",
"arxiv:2501.12202",
"arxiv:2411.02293",
"license:other",
"region:us"
] | image-to-3d | 2025-09-23T03:17:30Z | # Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets
The model was presented in the paper [Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets](https://huggingface.co/papers/2509.21245).
## Abstract
Recent advances in 3D-native generative models have accelerated asse... | [] |
tomvaillant/gemma4-e4b-journalist | tomvaillant | 2026-04-08T07:04:52Z | 121 | 1 | null | [
"safetensors",
"gguf",
"gemma4",
"investigative-journalism",
"osint",
"unsloth",
"vision-language-model",
"conversational",
"base_model:google/gemma-4-E4B-it",
"base_model:quantized:google/gemma-4-E4B-it",
"license:apache-2.0",
"region:us"
] | null | 2026-04-07T15:26:56Z | # gemma4-e4b-journalist
A compact investigative journalism model fine-tuned on [google/gemma-4-E4B-it](https://huggingface.co/google/gemma-4-E4B-it) (8B params), designed for browser-sized deployment via WebGPU. Same training data and domain coverage as [gemma4-31b-journalist](https://huggingface.co/tomvaillant/gemma4... | [] |
neuralmind/bert-base-portuguese-cased | neuralmind | 2022-06-14T14:37:09Z | 525,974 | 222 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"pt",
"dataset:brWaC",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | # BERTimbau Base (aka "bert-base-portuguese-cased")
## Introduction
BERTimbau Base is a pretrained BERT model for Brazilian Portuguese that achieves state-of-the-art performances on three downstream NLP tasks: Named Entity Recognition, Sentence Textual Simila... | [] |
mradermacher/SafeWork-RM-Safety-7B-i1-GGUF | mradermacher | 2025-12-04T19:47:40Z | 166 | 1 | transformers | [
"transformers",
"gguf",
"multilingual",
"base_model:AI45Research/SafeWork-RM-Safety-7B",
"base_model:quantized:AI45Research/SafeWork-RM-Safety-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-07T15:03:12Z | ## 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": 468,
"end": 489,
"text": "SafeWork-RM-Safety-7B",
"label": "benchmark name",
"score": 0.6393892168998718
},
{
"start": 626,
"end": 655,
"text": "SafeWork-RM-Safety-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.7578972578048706
},
{
"start": 729,
... |
NX-AI/TiRex | NX-AI | 2026-02-05T13:20:11Z | 114,664 | 89 | tirex | [
"tirex",
"onnx",
"time-series-forecasting",
"dataset:autogluon/chronos_datasets",
"dataset:Salesforce/GiftEvalPretrain",
"arxiv:2505.23719",
"arxiv:2510.26777",
"license:other",
"region:us"
] | time-series-forecasting | 2025-05-26T07:15:46Z | # TiRex
This repository provides the pre-trained forecasting model TiRex introduced in the paper
[TiRex: Zero-Shot Forecasting across Long and Short Horizons with Enhanced In-Context Learning](https://arxiv.org/abs/2505.23719).
TiRex is a 35M parameter pre-trained time series forecasting model based on [xLSTM](https:... | [
{
"start": 307,
"end": 312,
"text": "xLSTM",
"label": "benchmark name",
"score": 0.7031998038291931
},
{
"start": 772,
"end": 780,
"text": "GiftEval",
"label": "benchmark name",
"score": 0.7228349447250366
},
{
"start": 839,
"end": 848,
"text": "ChronosZS"... |
lmstudio-community/Olmo-3-7B-Instruct-GGUF | lmstudio-community | 2025-11-20T16:16:01Z | 252 | 4 | null | [
"gguf",
"base_model:allenai/Olmo-3-7B-Instruct",
"base_model:quantized:allenai/Olmo-3-7B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-20T14:27:42Z | ## 💫 Community Model> Olmo-3-7B-Instruct by allenai
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator**: [allenai](https://huggingface.co/allenai)<br>
**O... | [] |
Lordmo/Heretical-Qwen3.5-9B-i1-GGUF | Lordmo | 2026-03-07T11:55:10Z | 4,167 | 1 | transformers | [
"transformers",
"gguf",
"uncensored",
"decensored",
"heretic",
"abliterated",
"en",
"base_model:Kewk/Heretical-Qwen3.5-9B",
"base_model:quantized:Kewk/Heretical-Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-07T11:55:09Z | ## 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": 461,
"end": 481,
"text": "Heretical-Qwen3.5-9B",
"label": "benchmark name",
"score": 0.6582289338111877
},
{
"start": 618,
"end": 646,
"text": "Heretical-Qwen3.5-9B-i1-GGUF",
"label": "benchmark name",
"score": 0.7814345359802246
},
{
"start": 720,
... |
mrfakename/sam-audio-judge | mrfakename | 2025-12-18T19:55:55Z | 143 | 3 | null | [
"safetensors",
"en",
"license:other",
"region:us"
] | null | 2025-12-18T19:55:22Z | # SAM-Audio Judge Model
SAM-Audio Judge is a model for evaluating the quality of audio separation results for [SAM Audio](https://huggingface.co/facebook/sam-audio-large). It assesses how well a separated audio matches a given text description by providing four different quality metrics: overall quality, recall, preci... | [
{
"start": 290,
"end": 305,
"text": "overall quality",
"label": "evaluation metric",
"score": 0.8237417340278625
},
{
"start": 307,
"end": 313,
"text": "recall",
"label": "evaluation metric",
"score": 0.7871697545051575
},
{
"start": 315,
"end": 324,
"text... |
mradermacher/HERETICODER-2.5-7B-IT-GGUF | mradermacher | 2025-12-01T02:40:02Z | 110 | 1 | transformers | [
"transformers",
"gguf",
"decensored",
"heretic",
"uncensored",
"conversational",
"coder",
"qwen",
"7B",
"en",
"fr",
"base_model:Cannae-AI/HERETICODER-2.5-7B-IT",
"base_model:quantized:Cannae-AI/HERETICODER-2.5-7B-IT",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-12-01T02:17:35Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 520,
"end": 546,
"text": "HERETICODER-2.5-7B-IT-GGUF",
"label": "benchmark name",
"score": 0.6612448692321777
}
] |
Ryex/Floppa-12B-Gemma3-Uncensored | Ryex | 2025-12-01T14:43:25Z | 300 | 2 | vllm | [
"vllm",
"safetensors",
"gemma3",
"gemma",
"gemma-3",
"multimodal",
"uncensored",
"translation",
"anime",
"image-text-to-text",
"conversational",
"en",
"ja",
"multilingual",
"base_model:google/gemma-3-12b-it",
"base_model:finetune:google/gemma-3-12b-it",
"license:gemma",
"region:us"... | image-text-to-text | 2025-12-01T13:50:52Z | # Floppa-12B-Gemma3 (Uncensored)
**Floppa-12B** is a fine-tuned multimodal model based on Google's **Gemma 3 12B Instruct**.
It has been specialized for **high-fidelity uncensored translation** (Japanese <-> English) and **unrestricted image description**. Unlike the base model, Floppa does not refuse to describe ex... | [] |
DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24B-gguf | DavidAU | 2025-07-28T00:16:32Z | 3,965 | 113 | null | [
"gguf",
"mixture of experts",
"moe",
"mistral",
"mixtral",
"merge",
"4x7B",
"32 bit enhanced",
"float 32 quants",
"mistral MOE",
"uncensored",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"story... | text-generation | 2024-12-26T11:22:27Z | <B><font color="red">WARNING:</font> NSFW. Vivid prose. INTENSE. Visceral Details. HORROR. Swearing. UNCENSORED... humor, romance, fun. </B>
<h2>Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24B-GGUF</h2>
<I><small> A float 32 high precision M.O.E model, quanted in float 32 with additional upgraded and augme... | [] |
Markobes/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-Q8_0-GGUF | Markobes | 2026-02-06T12:06:17Z | 149 | 1 | 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",
... | image-text-to-text | 2026-02-06T12:05:26Z | # Markobes/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-Q8_0-GGUF
This model was converted to GGUF format from [`DavidAU/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored`](https://huggingface.co/DavidAU/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Think... | [] |
mradermacher/InSight-o3-vS-i1-GGUF | mradermacher | 2026-01-14T07:29:31Z | 321 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:m-Just/InSight-o3-vS",
"base_model:quantized:m-Just/InSight-o3-vS",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-14T06:47:24Z | ## 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": 612,
"end": 633,
"text": "InSight-o3-vS-i1-GGUF",
"label": "benchmark name",
"score": 0.7232875227928162
},
{
"start": 707,
"end": 725,
"text": "InSight-o3-vS-GGUF",
"label": "benchmark name",
"score": 0.6136053800582886
},
{
"start": 847,
"end": 86... |
NAMAA-Space/gliner_arabic-v2.1 | NAMAA-Space | 2025-04-13T08:12:45Z | 200 | 16 | gliner | [
"gliner",
"pytorch",
"GLiNER",
"Arabic",
"NER",
"token-classification",
"ar",
"en",
"base_model:urchade/gliner_multi-v2.1",
"base_model:finetune:urchade/gliner_multi-v2.1",
"license:apache-2.0",
"region:us"
] | token-classification | 2025-04-09T14:13:38Z | ## GLiNER Arabic Model (v2.1)
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/_HcjXL077WrX5eAQWjUuW.png" width="600"/>
</p>
`gliner_arabic-v2.1` is a specialized Named Entity Recognition (NER) model designed for processing Arabic text with high accuracy a... | [] |
nvidia/Llama-3_3-Nemotron-Super-49B-v1_5-NVFP4 | nvidia | 2025-11-27T09:17:31Z | 6,531 | 15 | transformers | [
"transformers",
"safetensors",
"nemotron-nas",
"text-generation",
"nvidia",
"llama-3",
"pytorch",
"conversational",
"custom_code",
"en",
"arxiv:2411.19146",
"arxiv:2505.00949",
"arxiv:2502.00203",
"license:other",
"8-bit",
"region:us"
] | text-generation | 2025-11-11T15:47:07Z | # Llama-3.3-Nemotron-Super-49B-v1.5-NVFP4
## Model Overview
Llama-3.3-Nemotron-Super-49B-v1.5-NVFP4 is a significantly upgraded version of Llama-3.3-Nemotron-Super-49B-v1 and is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct (AKA the reference ... | [] |
Aria-UI/Aria-UI-base | Aria-UI | 2024-12-31T06:38:59Z | 147 | 39 | null | [
"safetensors",
"aria",
"custom_code",
"dataset:Aria-UI/Aria-UI_Data",
"arxiv:2412.16256",
"base_model:rhymes-ai/Aria-Base-8K",
"base_model:finetune:rhymes-ai/Aria-Base-8K",
"license:apache-2.0",
"eval-results",
"region:us"
] | null | 2024-12-20T07:44:52Z | <p align="center">
🖼️ <a href="https://huggingface.co/spaces/Aria-UI/Aria-UI" target="_blank"> Try Aria-UI!</a> · 📖 <a href="https://ariaui.github.io" target="_blank">Project Page</a> · 📌 <a href="https://arxiv.org/abs/2412.16256" target="_blank">Paper</a>
· ⭐ <a href="https://github.com/rhymes-ai/Aria" target="_b... | [] |
ReXeeD/TASX-Cmd-0.5B | ReXeeD | 2026-04-29T23:15:00Z | 757 | 1 | null | [
"safetensors",
"qwen2",
"robotics",
"ros2",
"json",
"unsloth",
"qwen",
"text-generation",
"hardware",
"conversational",
"en",
"base_model:unsloth/Qwen2.5-0.5B-Instruct",
"base_model:finetune:unsloth/Qwen2.5-0.5B-Instruct",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-04-23T18:44:28Z | # TASX-Command-0.5B
**TASX-Command-0.5B** is a highly specialized, lightweight language model designed specifically for robotics. It translates natural language (including slang, typos, and complex phrasing) into strict, execution-ready JSON command sequences for ROS2, SLAM, and physical robot control.
By fine-tunin... | [
{
"start": 1250,
"end": 1275,
"text": "Professor Xavier's Office",
"label": "benchmark name",
"score": 0.6893700957298279
}
] |
knowledgator/gliner-pii-large-v1.0 | knowledgator | 2025-09-29T09:39:23Z | 3,291 | 34 | gliner | [
"gliner",
"pytorch",
"onnx",
"NER",
"GLiNER",
"information extraction",
"PII",
"PHI",
"PCI",
"entity recognition",
"multilingual",
"token-classification",
"en",
"arxiv:2311.08526",
"arxiv:2406.12925",
"arxiv:2212.13415",
"license:apache-2.0",
"region:us"
] | token-classification | 2025-09-24T15:16:32Z | # GLiNER-PII: Zero-shot PII model
A production-grade open-source model for privacy-focused PII, PHI, and PCI detection with zero-shot entity recognition capabilities.
This model was developed in collaboration between [Wordcab](https://wordcab.com/) and [Knowledgator](https://www.knowledgator.com/). For enterprise-rea... | [] |
mradermacher/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B-i1-GGUF | mradermacher | 2025-02-16T12:00:12Z | 185 | 5 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-02-16T00:39:11Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/DavidAU/DeepSeek-MOE-4X8B-R1-Distill-Llama-3.1-Deep-Thinker-Uncensored-24B
<!-- provided-files -->
sta... | [] |
mradermacher/Llama3.2-24B-A3B-II-Dark-Champion-INSTRUCT-Heretic-Abliterated-Uncensored-i1-GGUF | mradermacher | 2025-12-04T22:18:12Z | 864 | 2 | transformers | [
"transformers",
"gguf",
"mixture of experts",
"moe",
"8x3B",
"Llama 3.2 MOE",
"128k context",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"roma... | null | 2025-12-01T22:20:05Z | ## 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": 673,
"end": 754,
"text": "Llama3.2-24B-A3B-II-Dark-Champion-INSTRUCT-Heretic-Abliterated-Uncensored-i1-GGUF",
"label": "benchmark name",
"score": 0.6346893906593323
}
] |
aifeifei798/Gemma-4-Queen-31B-it | aifeifei798 | 2026-04-17T21:51:32Z | 594 | 4 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"roleplay",
"gemma",
"sillytavern",
"idol",
"pytorch",
"DarkIdol",
"Queen",
"any-to-any",
"OpenClaw",
"conversational",
"base_model:google/gemma-4-31B-it",
"base_model:finetune:google/gemma-4-31B-it",
"license:apache-2.0"... | image-text-to-text | 2026-04-10T18:54:40Z | ### Case File: The Vanishing Vacuum Mystery
**Background:**
CEO Ryan was found dead inside the "Titan Vacuum Chamber," a strictly sealed experimental room. The cause of death was confirmed as **acute hypoxia** (lack of oxygen). The estimated time of death was **10:15 PM**.
**The System Rules (Objective Facts):**
1. ... | [] |
z-lab/Qwen3.5-122B-A10B-DFlash | z-lab | 2026-04-26T18:36:05Z | 416 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"dflash",
"speculative-decoding",
"diffusion",
"efficiency",
"flash-decoding",
"qwen",
"diffusion-language-model",
"text-generation",
"custom_code",
"arxiv:2602.06036",
"license:mit",
"text-generation-inference",
"endpoint... | text-generation | 2026-04-21T17:18:59Z | # Qwen3.5-122B-A10B-DFlash
[**Paper**](https://arxiv.org/abs/2602.06036) | [**GitHub**](https://github.com/z-lab/dflash) | [**Blog**](https://z-lab.ai/projects/dflash/)
**Inference engine support may not be fully available yet due to architectural changes, including causal SWA layers.**
**DFlash** is a novel speculat... | [] |
nvidia/Nemotron-Cascade-14B-Thinking | nvidia | 2026-01-01T01:24:38Z | 900 | 75 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"nvidia",
"nemotron-cascade",
"reasoning",
"general-purpose",
"SFT",
"RL",
"pytorch",
"conversational",
"en",
"arxiv:2512.13607",
"arxiv:2309.00071",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"... | text-generation | 2025-12-08T20:35:51Z | # Nemotron-Cascade-14B-Thinking
<p align="center">
[](https://arxiv.org/abs/2512.13607)
[](https://huggingface.co/collections/nvidia/nemotron-cascade)
[![RL Dataset](https:/... | [] |
geoffmunn/Qwen3-8B-f16 | geoffmunn | 2026-03-13T08:36:50Z | 6,901 | 1 | null | [
"gguf",
"qwen",
"qwen3",
"qwen3-8b",
"qwen3-8b-gguf",
"llama.cpp",
"quantized",
"text-generation",
"reasoning",
"agent",
"chat",
"multilingual",
"matrix",
"q3_hifi",
"q4_hifi",
"q5_hifi",
"en",
"zh",
"es",
"fr",
"de",
"ru",
"ar",
"ja",
"ko",
"hi",
"base_model:Qwen... | text-generation | 2025-09-21T07:57:54Z | # Qwen3-8B-f16-GGUF
This is a **GGUF-quantized version** of the **[Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B)** language model - an **8-billion-parameter** LLM from Alibaba's Qwen series, designed for **advanced reasoning, agentic behavior, and multilingual tasks**.
Converted for use with `llama.cpp` and co... | [] |
Pclanglais/POntAvignon-4b | Pclanglais | 2026-04-08T19:28:53Z | 268 | 1 | null | [
"safetensors",
"qwen3",
"linked-art",
"performing-arts",
"ontology",
"json-ld",
"theater",
"festival-avignon",
"digital-humanities",
"text-generation",
"conversational",
"fr",
"en",
"dataset:PleIAs/linked-art-avignon",
"base_model:Qwen/Qwen3-4B",
"base_model:finetune:Qwen/Qwen3-4B",
... | text-generation | 2026-04-08T18:38:39Z | # POntAvignon-4b
A 4B reasoning model that annotates French theater programmes against the [Linked Art](https://linked.art/) performing-arts ontology extension. Given raw programme markdown from the Festival d'Avignon (1947–present), it extracts structured JSON-LD entities with chain-of-thought reasoning.
POntAvignon... | [] |
mradermacher/Assistant_Pepe_8B-i1-GGUF | mradermacher | 2026-01-29T18:20:02Z | 269 | 5 | transformers | [
"transformers",
"gguf",
"en",
"dataset:SicariusSicariiStuff/UBW_Tapestries",
"base_model:SicariusSicariiStuff/Assistant_Pepe_8B",
"base_model:quantized:SicariusSicariiStuff/Assistant_Pepe_8B",
"license:llama3.1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-29T17:41:56Z | ## 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": 630,
"end": 655,
"text": "Assistant_Pepe_8B-i1-GGUF",
"label": "benchmark name",
"score": 0.6881258487701416
},
{
"start": 1212,
"end": 1237,
"text": "Assistant_Pepe_8B-i1-GGUF",
"label": "benchmark name",
"score": 0.6703143119812012
},
{
"start": 1392,... |
mradermacher/Snowpiercer-15B-v4-absolute-heresy-GGUF | mradermacher | 2026-02-02T02:37:50Z | 321 | 3 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/Snowpiercer-15B-v4-absolute-heresy",
"base_model:quantized:MuXodious/Snowpiercer-15B-v4-absolute-heresy",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-01T07:33:09Z | ## 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": 362,
"end": 396,
"text": "Snowpiercer-15B-v4-absolute-heresy",
"label": "benchmark name",
"score": 0.6292938590049744
},
{
"start": 533,
"end": 572,
"text": "Snowpiercer-15B-v4-absolute-heresy-GGUF",
"label": "benchmark name",
"score": 0.7505647540092468
},
... |
mradermacher/GPT-5-Distill-llama3.2-3B-Instruct-Heretic-i1-GGUF | mradermacher | 2025-12-13T18:45:13Z | 128 | 2 | transformers | [
"transformers",
"gguf",
"GPT-5",
"Distill",
"llama3.2",
"3B",
"Instruct",
"Heretic",
"Uncensored",
"Abliterated",
"en",
"zh",
"dataset:Jackrong/ShareGPT-Qwen3-235B-A22B-Instuct-2507",
"dataset:ytz20/LMSYS-Chat-GPT-5-Chat-Response",
"base_model:ChiKoi7/GPT-5-Distill-llama3.2-3B-Instruct-H... | null | 2025-12-13T16:38:45Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
unsloth/Qwen3.5-4B-GGUF | unsloth | 2026-03-02T14:08:17Z | 523,476 | 172 | transformers | [
"transformers",
"gguf",
"unsloth",
"image-text-to-text",
"base_model:Qwen/Qwen3.5-4B",
"base_model:quantized:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-03-02T05:46:32Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<h1 style="margin-top: 0rem;">To run Qwen3.5 locally - <a href="https://unsloth.ai/docs/models/qwen3.5">Read our Guide!</a></h1>
</p>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://unsloth.ai/docs/basics/unsloth-dynamic-v2.0-gguf">Unsloth ... | [] |
mradermacher/LocoOperator-4B-i1-GGUF | mradermacher | 2026-02-24T06:29:54Z | 1,523 | 1 | transformers | [
"transformers",
"gguf",
"code",
"agent",
"tool-calling",
"distillation",
"qwen3",
"llama-cpp",
"en",
"base_model:LocoreMind/LocoOperator-4B",
"base_model:quantized:LocoreMind/LocoOperator-4B",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-24T04:20:03Z | ## 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": 618,
"end": 641,
"text": "LocoOperator-4B-i1-GGUF",
"label": "benchmark name",
"score": 0.7028390169143677
},
{
"start": 1196,
"end": 1219,
"text": "LocoOperator-4B-i1-GGUF",
"label": "benchmark name",
"score": 0.6736716032028198
},
{
"start": 1372,
... |
NO8D/Slider-toolkit-Klein9B | NO8D | 2026-04-08T11:07:00Z | 699 | 6 | diffusers | [
"diffusers",
"text-to-image",
"template:diffusion-lora",
"slider",
"LoRA",
"base_model:black-forest-labs/FLUX.2-klein-9B",
"base_model:finetune:black-forest-labs/FLUX.2-klein-9B",
"license:other",
"region:us"
] | text-to-image | 2026-03-04T13:23:29Z | # Slider-toolkit-Klein9B
<Gallery />
## Model description
Model description
🤖Slider-toolkit : A set of Slider-LORA trained for Klein4B, which enhances the controllability of text-to-image generation. If you are looking for a fast and controllable text-to-image generation method, don't miss it.
### quality: th... | [] |
OmnionixAI/avara-x1-mini | OmnionixAI | 2026-03-27T01:20:00Z | 876 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"Omnionix",
"Avara",
"code",
"math",
"logic",
"unsloth",
"conversational",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-09T01:48:54Z | <br>
<p align="center">
<img src="logo.png" width="450" alt="Avara X1 Mini Logo">
</p>
<br>
# Avara X1 Mini
Avara X1 Mini is a lightweight AI model developed by **Omnionix**. Based on the Qwen2.5 architecture, this model is fine-tuned to balance technical reasoning with a grounded and supportive personality.
**J... | [] |
BAAI/Video-XL-2 | BAAI | 2025-06-06T02:25:16Z | 137 | 56 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"multimodal",
"video-text-to-text",
"custom_code",
"en",
"arxiv:2409.14485",
"arxiv:2503.18478",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | video-text-to-text | 2025-05-30T09:02:31Z | # Video-XL-2
[\[📰 Blog\]](https://unabletousegit.github.io/video-xl2.github.io/) [\[📂 GitHub\]](https://github.com/VectorSpaceLab/Video-XL) [\[📜 Tech Report(comming soon)\]]()
## How to use the model
Video-XL-2 supply two efficiency optimization strategy: chunk-based prefill and bi-level kvs decoding. You can fl... | [] |
mradermacher/Intern-S1-mini-i1-GGUF | mradermacher | 2025-12-16T02:54:58Z | 177 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:internlm/Intern-S1-mini",
"base_model:quantized:internlm/Intern-S1-mini",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-23T13:39:45Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 614,
"end": 636,
"text": "Intern-S1-mini-i1-GGUF",
"label": "benchmark name",
"score": 0.6662188172340393
},
{
"start": 1190,
"end": 1212,
"text": "Intern-S1-mini-i1-GGUF",
"label": "benchmark name",
"score": 0.6453299522399902
},
{
"start": 1364,
"... |
colbert-ir/colbertv2.0 | colbert-ir | 2024-04-05T20:18:44Z | 12,582,615 | 315 | transformers | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"bert",
"ColBERT",
"en",
"arxiv:2004.12832",
"arxiv:2007.00814",
"arxiv:2101.00436",
"arxiv:2112.01488",
"arxiv:2205.09707",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2023-06-27T21:31:39Z | <p align="center">
<img align="center" src="https://github.com/stanford-futuredata/ColBERT/blob/main/docs/images/colbertofficial.png?raw=true" width="430px" />
</p>
<p align="left">
# ColBERT (v2)
### ColBERT is a _fast_ and _accurate_ retrieval model, enabling scalable BERT-based search over large text collections... | [] |
LiquidAI/LFM2.5-1.2B-Instruct-MLX-4bit | LiquidAI | 2026-01-07T13:43:08Z | 2,123 | 9 | mlx | [
"mlx",
"safetensors",
"lfm2",
"liquid",
"lfm2.5",
"edge",
"text-generation",
"conversational",
"en",
"ja",
"ko",
"fr",
"es",
"de",
"it",
"pt",
"ar",
"zh",
"base_model:LiquidAI/LFM2.5-1.2B-Instruct",
"base_model:quantized:LiquidAI/LFM2.5-1.2B-Instruct",
"license:other",
"4-b... | text-generation | 2026-01-06T02:36:11Z | <div 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 style="display: flex; ... | [] |
OpenLLM-France/Lucie-7B | OpenLLM-France | 2026-04-16T12:46:33Z | 333 | 27 | null | [
"tensorboard",
"safetensors",
"llama",
"pretrained",
"llama-3",
"openllm-france",
"text-generation",
"fr",
"en",
"it",
"de",
"es",
"dataset:OpenLLM-France/Lucie-Training-Dataset",
"arxiv:2503.12294",
"license:apache-2.0",
"region:us"
] | text-generation | 2024-10-10T11:22:26Z | # Model Card for Lucie-7B
<!-- inspired from the following template:
https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1
-->
* [Model Description](#model-description)
<!-- * [Uses](#uses) -->
* [Example Code in Python](#example-code-in-python)
* [Load... | [] |
TheBloke/MythoMax-L2-Kimiko-v2-13B-GGUF | TheBloke | 2023-09-27T12:46:50Z | 6,915 | 43 | transformers | [
"transformers",
"gguf",
"llama",
"base_model:Undi95/MythoMax-L2-Kimiko-v2-13b",
"base_model:quantized:Undi95/MythoMax-L2-Kimiko-v2-13b",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2023-08-31T11:24:42Z | <!-- 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... | [] |
nvidia/nemo-nano-codec-22khz-0.6kbps-12.5fps | nvidia | 2025-08-30T15:49:45Z | 3,303 | 16 | nemo | [
"nemo",
"feature-extraction",
"arxiv:2508.05835",
"arxiv:2010.05646",
"arxiv:2309.15505",
"arxiv:2306.06546",
"arxiv:2409.12117",
"license:other",
"region:us"
] | feature-extraction | 2025-08-06T20:57:28Z | # NVIDIA NeMo NanoCodec
<style>
img{
display: inline-table;
vertical-align: small;
margin: 0;
padding: 0;
}
</style>
[](#model-architecture)
| [](... | [
{
"start": 833,
"end": 843,
"text": "FSQ Levels",
"label": "evaluation metric",
"score": 0.6634862422943115
},
{
"start": 1226,
"end": 1236,
"text": "FSQ Levels",
"label": "evaluation metric",
"score": 0.6472770571708679
}
] |
rtila-corporation/rtila-assistant | rtila-corporation | 2026-01-27T15:15:50Z | 11,049 | 1 | null | [
"gguf",
"qwen3",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-26T21:53:20Z | # 🤖 RTILA Assistant
> Full-powered fine-tuned AI model for generating automation configurations for the RTILA Automation Engine
[](https://huggingface.co/Qwen/Qwen3-14B)
[](LICENSE)
[![GGUF](... | [] |
xiaomi-research/MiLMMT-46-4B-v0.1 | xiaomi-research | 2026-02-13T02:36:23Z | 141 | 2 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"translation",
"arxiv:2602.11961",
"base_model:xiaomi-research/MiLMMT-46-4B-Pretrain",
"base_model:finetune:xiaomi-research/MiLMMT-46-4B-Pretrain",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | translation | 2026-01-29T07:47:54Z | ## Model Description
MiLMMT-46-4B-v0.1 is an LLM-based translation model. It has been fintuned on MiLMMT-46-4B-Pretrain, which is a language model developed through continual pretraining of Gemma3-4B using a mix of 143 billion tokens from both monolingual and parallel data across 46 different languages. Please find mo... | [] |
samwell/galamsey-v9-e3-onnx | samwell | 2026-05-04T17:37:22Z | 394 | 2 | transformers.js | [
"transformers.js",
"onnx",
"lfm2_vl",
"image-text-to-text",
"vision-language",
"earth-observation",
"sentinel-2",
"galamsey",
"illegal-mining",
"lfm2-vl",
"lfm2.5-vl",
"object-detection",
"grounding",
"webgpu",
"conversational",
"en",
"dataset:ellaampy/SmallMinesDS",
"base_model:Li... | image-text-to-text | 2026-04-17T06:03:56Z | # galamsey-v9-e3-onnx
ONNX (fp16) export of [`samwell/galamsey-v9-e3`](https://huggingface.co/samwell/galamsey-v9-e3), a fine-tune of [LiquidAI/LFM2.5-VL-450M](https://huggingface.co/LiquidAI/LFM2.5-VL-45... | [] |
mradermacher/Huihui-NVIDIA-Nemotron-Nano-9B-v2-abliterated-i1-GGUF | mradermacher | 2026-01-05T07:13:26Z | 852 | 9 | transformers | [
"transformers",
"gguf",
"nvidia",
"pytorch",
"abliterated",
"uncensored",
"en",
"es",
"fr",
"de",
"it",
"ja",
"base_model:huihui-ai/Huihui-NVIDIA-Nemotron-Nano-9B-v2-abliterated",
"base_model:quantized:huihui-ai/Huihui-NVIDIA-Nemotron-Nano-9B-v2-abliterated",
"license:other",
"endpoint... | null | 2026-01-05T06:15:58Z | ## 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_... | [
{
"start": 647,
"end": 700,
"text": "Huihui-NVIDIA-Nemotron-Nano-9B-v2-abliterated-i1-GGUF",
"label": "benchmark name",
"score": 0.6028397679328918
}
] |
mradermacher/AurIA-G3-v1-GGUF | mradermacher | 2026-02-24T15:51:08Z | 460 | 2 | transformers | [
"transformers",
"gguf",
"llama.cpp",
"unsloth",
"vision-language-model",
"en",
"base_model:wallacebf/AurIA-G3-v1",
"base_model:quantized:wallacebf/AurIA-G3-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-24T15:42:02Z | ## 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": 362,
"end": 373,
"text": "AurIA-G3-v1",
"label": "benchmark name",
"score": 0.7019497752189636
},
{
"start": 510,
"end": 526,
"text": "AurIA-G3-v1-GGUF",
"label": "benchmark name",
"score": 0.797726571559906
},
{
"start": 1222,
"end": 1238,
"tex... |
mradermacher/SenseNova-SI-1.2-InternVL3-8B-i1-GGUF | mradermacher | 2025-12-23T14:36:53Z | 187 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:sensenova/SenseNova-SI-1.2-InternVL3-8B",
"base_model:quantized:sensenova/SenseNova-SI-1.2-InternVL3-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-23T13:54:44Z | ## 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": 631,
"end": 668,
"text": "SenseNova-SI-1.2-InternVL3-8B-i1-GGUF",
"label": "benchmark name",
"score": 0.6293943524360657
}
] |
mradermacher/Sketch-Cydonia-i1-GGUF | mradermacher | 2026-02-23T11:26:01Z | 1,625 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Ateron/Sketch-Cydonia",
"base_model:quantized:Ateron/Sketch-Cydonia",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-23T08:02:40Z | ## 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_... | [] |
OpenMOSS-Team/MOSS-TTS-Realtime | OpenMOSS-Team | 2026-03-20T08:27:09Z | 76,342 | 67 | transformers | [
"transformers",
"safetensors",
"moss_tts_realtime",
"text-to-speech",
"audio",
"moss-tts",
"zh",
"en",
"de",
"es",
"fr",
"ja",
"it",
"he",
"ko",
"ru",
"fa",
"ar",
"pl",
"pt",
"cs",
"da",
"sv",
"hu",
"el",
"tr",
"arxiv:2603.18090",
"arxiv:2602.10934",
"license:... | text-to-speech | 2026-02-09T02:41:24Z | # MOSS-TTS Family
<br>
<p align="center">
<img src="https://speech-demo.oss-cn-shanghai.aliyuncs.com/moss_tts_demo/tts_readme_imgaes_demo/openmoss_x_mosi" height="50" align="middle" />
</p>
<div align="center">
<a href="https://github.com/OpenMOSS/MOSS-TTS/tree/main"><img src="https:... | [] |
mldi-lab/Kairos_10m | mldi-lab | 2026-04-24T05:18:16Z | 543 | 2 | transformers | [
"transformers",
"safetensors",
"kairos",
"time-series",
"forecasting",
"foundation-model",
"zero-shot",
"time-series-forecasting",
"arxiv:2509.25826",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | time-series-forecasting | 2025-09-30T08:29:50Z | # Kairos-10M: Adaptive Time Series Foundation Model
This model is presented in the paper [Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models](https://arxiv.org/abs/2509.25826v2).
[](https://a... | [] |
facebook/mms-tts-ewe | facebook | 2023-09-01T11:11:27Z | 471 | 5 | transformers | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2023-09-01T11:11:08Z | ---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Éwé Text-to-Speech
This repository contains the **Éwé (ewe)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.org/abs/230... | [] |
AlicanKiraz0/Seneca-Cybersecurity-LLM-Q4_K_M-GGUF | AlicanKiraz0 | 2025-03-15T02:35:53Z | 367 | 35 | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"cybersecurity",
"security",
"cyber",
"pentest",
"en",
"base_model:AlicanKiraz0/SenecaLLM-x-Llama3.1-8B",
"base_model:quantized:AlicanKiraz0/SenecaLLM-x-Llama3.1-8B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-12-24T06:26:12Z | <img src="https://huggingface.co/AlicanKiraz0/SenecaLLM-Q4_K_M-GGUF/resolve/main/SenecaLLM.png" width="600" />
Finetuned by Alican Kiraz
[](https://tr.linkedin.com/in/alican-kiraz)
![X (formerly Twitter) URL](h... | [] |
mradermacher/Qwen3-VL-Reranker-8B-GGUF | mradermacher | 2026-05-03T18:00:29Z | 18,838 | 4 | transformers | [
"transformers",
"gguf",
"sentence-transformers",
"multimodal rerank",
"text rerank",
"en",
"base_model:Qwen/Qwen3-VL-Reranker-8B",
"base_model:quantized:Qwen/Qwen3-VL-Reranker-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-10T06:04:41Z | ## 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... | [] |
mradermacher/Gemma3-27B-it-vl-GLM-4.7-Uncensored-Heretic-Deep-Reasoning-GGUF | mradermacher | 2026-02-02T14:51:50Z | 1,016 | 2 | 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 | 2026-02-02T14:00:28Z | ## 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/MagicAssessor-7B-i1-GGUF | mradermacher | 2025-12-10T20:56:33Z | 1,754 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:wj-inf/MagicAssessor-7B",
"base_model:quantized:wj-inf/MagicAssessor-7B",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-16T10:04:30Z | ## 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": 462,
"end": 478,
"text": "MagicAssessor-7B",
"label": "benchmark name",
"score": 0.6172378659248352
},
{
"start": 615,
"end": 639,
"text": "MagicAssessor-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.8181912302970886
},
{
"start": 713,
"end": 7... |
Thunderbolt215215/ArtiMuse | Thunderbolt215215 | 2026-01-16T05:27:52Z | 1,745 | 8 | null | [
"safetensors",
"internvl_chat",
"custom_code",
"en",
"arxiv:2507.14533",
"arxiv:2512.21675",
"base_model:OpenGVLab/InternVL3-8B",
"base_model:finetune:OpenGVLab/InternVL3-8B",
"license:apache-2.0",
"region:us"
] | null | 2025-08-26T08:45:09Z | <h1 style="line-height: 1.4;">
<span style="color: #FF3E3E;">A</span><span style="color: #FF914D;">r</span><span
style="color: #FFC94D;">t</span><span style="color: #B6E24D;">i</span><span
style="color: #4DDC95;">M</span><span style="color: #4DB8FF;">u</span><span
style="color: #8564FF;">s</span><span style="c... | [] |
QuantStack/LTXV-13B-0.9.8-distilled-GGUF | QuantStack | 2025-07-17T01:29:26Z | 687 | 24 | gguf | [
"gguf",
"ltx-video",
"text-to-video",
"image-to-video",
"en",
"base_model:Lightricks/LTX-Video",
"base_model:quantized:Lightricks/LTX-Video",
"license:other",
"region:us"
] | image-to-video | 2025-07-16T21:06:26Z | This is a direct GGUF conversion of the LTXV-13B-0.9.8-distilled variant from [Lightricks/LTX-Video](https://huggingface.co/Lightricks/LTX-Video).
The model files can be used in [ComfyUI](https://github.com/comfyanonymous/ComfyUI/) with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node. Place the ... | [] |
FreedomIntelligence/ShizhenGPT-32B-VL | FreedomIntelligence | 2025-08-23T07:41:40Z | 131 | 6 | null | [
"safetensors",
"Traditional Chinese Medicin",
"Multimodal LLM",
"multimodal",
"image-text-to-text",
"zh",
"dataset:FreedomIntelligence/TCM-Pretrain-Data-ShizhenGPT",
"dataset:FreedomIntelligence/TCM-Instruction-Tuning-ShizhenGPT",
"arxiv:2508.14706",
"base_model:Qwen/Qwen2.5-32B",
"base_model:fi... | image-text-to-text | 2025-08-21T08:09:28Z | <div align="center">
<h1>
ShizhenGPT-32B-VL
</h1>
</div>
<div align="center">
<a href="https://github.com/FreedomIntelligence/ShizhenGPT" target="_blank">GitHub</a> | <a href="https://arxiv.org/abs/2508.14706" target="_blank">Paper</a>
</div>
**ShizhenGPT** is the first multimodal LLM for Traditional Chinese Medic... | [] |
lmstudio-community/granite-4.0-h-tiny-MLX-8bit | lmstudio-community | 2025-09-29T19:50:55Z | 481 | 1 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"granite-4.0",
"mlx",
"conversational",
"base_model:ibm-granite/granite-4.0-h-tiny",
"base_model:quantized:ibm-granite/granite-4.0-h-tiny",
"license:apache-2.0",
"endpoints_compatible",
"8-bit",
"region:us"
] | text-generation | 2025-09-29T19:50:01Z | ## 💫 Community Model> granite-4.0-h-tiny by ibm-granite
_👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)_.
**Model creator**: [ibm-granite](https://huggingface.co/ibm-gran... | [] |
Langboat/Mengzi3-8B-Chat | Langboat | 2024-09-29T06:56:04Z | 8,285 | 2 | null | [
"safetensors",
"llama",
"text-generation",
"conversational",
"zh",
"en",
"license:apache-2.0",
"region:us"
] | text-generation | 2024-09-14T07:33:37Z | <div align="left">
<h1>
Mengzi3-8B-Chat
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organizat... | [] |
mradermacher/Hunyuan-MT-Chimera-7B-GGUF | mradermacher | 2025-09-10T17:33:09Z | 152 | 3 | transformers | [
"transformers",
"gguf",
"translation",
"zh",
"en",
"fr",
"pt",
"es",
"ja",
"tr",
"ru",
"ar",
"ko",
"th",
"it",
"de",
"vi",
"ms",
"id",
"tl",
"hi",
"pl",
"cs",
"nl",
"km",
"my",
"fa",
"gu",
"ur",
"te",
"mr",
"he",
"bn",
"ta",
"uk",
"bo",
"kk",
... | translation | 2025-09-02T04:36:38Z | ## 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 qu... | [] |
MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF | MaziyarPanahi | 2024-04-23T12:55:06Z | 114,884 | 102 | transformers | [
"transformers",
"gguf",
"mistral",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"16-bit",
"GGUF",
"text-generation",
"en",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:quantized:meta-lla... | text-generation | 2024-04-18T16:43:25Z | # [MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF](https://huggingface.co/MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF)
- Model creator: [meta-llama](https://huggingface.co/meta-llama)
- Original model: [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
The GGUF and quantized... | [] |
cs2764/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-6bit-abliterated-mlx | cs2764 | 2026-03-08T06:40:23Z | 800 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"abliteration",
"uncensored",
"experimental",
"license:other",
"6-bit",
"region:us"
] | null | 2026-03-08T06:39:06Z | # Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-6bit-mlx-abliterated
This model was created using the [mlx-abliteration](https://github.com/cs2764/mlx-abliteration) toolkit,
which is based on the [FiditeNemini/mlx-abliteration](https://github.com/FiditeNemini/mlx-abliteration) project.
## Base Model
Original model... | [] |
mradermacher/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32-GGUF | mradermacher | 2025-09-17T23:26:22Z | 469 | 2 | transformers | [
"transformers",
"gguf",
"causal-lm",
"moe",
"mixture-of-experts",
"qwen",
"distillation",
"svd",
"lora-merged",
"code-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-17T17:05:36Z | ## 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... | [] |
tencent/Penguin-VL-8B | tencent | 2026-03-11T19:39:17Z | 6,175 | 71 | transformers | [
"transformers",
"safetensors",
"penguinvl_qwen3",
"text-generation",
"multi-modal",
"large-language-model",
"vision-language-model",
"vision-encoder",
"conversational",
"custom_code",
"en",
"arxiv:2603.06569",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"license:apac... | text-generation | 2026-03-05T03:04:07Z | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6258a6455ea3a0a9b6de3f22/mIMYeUFquGSbm89lT61TG.png" width="160" />
</p>
<h2 align="center">Penguin-VL</h2>
<h4 align="center">
Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders
</h4>
<h4 align="center">
<b>Proje... | [] |
zhouyik/Qwen3-VL-8B-SAMTok | zhouyik | 2026-01-20T04:01:32Z | 2,085 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-12-22T08:32:08Z | ## Quickstart
Install the transformers that supports Qwen3-VL.
### Using 🤗 Transformers to Chat
```python
import re
import numpy as np
def extract_mt_token_ids_v1(text):
pattern = r"<\|mt_(\d{4})\|>"
return [int(x) for x in re.findall(pattern, text)]
def extract_mt_token_ids_v2(text):
pattern = re.comp... | [] |
lmsys/vicuna-7b-v1.5 | lmsys | 2024-03-13T02:01:41Z | 2,852,226 | 389 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2307.09288",
"arxiv:2306.05685",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | 2023-07-29T04:42:33Z | # Vicuna Model Card
## Model Details
Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
- **Developed by:** [LMSYS](https://lmsys.org/)
- **Model type:** An auto-regressive language model based on the transformer architecture
- **License:** Llama 2 Communi... | [] |
mradermacher/GRiP-i1-GGUF | mradermacher | 2025-12-04T06:14:44Z | 138 | 1 | transformers | [
"transformers",
"gguf",
"visual-grounding",
"multimodal-reasoning",
"reinforcement-learning",
"chain-of-thought",
"en",
"dataset:GRiP-SFT-35K",
"dataset:GRiP-RL-37K",
"base_model:TencentBAC/GRiP",
"base_model:quantized:TencentBAC/GRiP",
"license:apache-2.0",
"endpoints_compatible",
"region... | reinforcement-learning | 2025-11-28T04:10:53Z | ## 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": 607,
"end": 619,
"text": "GRiP-i1-GGUF",
"label": "benchmark name",
"score": 0.6801333427429199
},
{
"start": 1298,
"end": 1310,
"text": "GRiP-i1-GGUF",
"label": "benchmark name",
"score": 0.6652342081069946
}
] |
Qwen/Qwen3-VL-2B-Instruct | Qwen | 2025-10-23T11:30:44Z | 2,495,943 | 354 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-text-to-text | 2025-10-19T13:13:24Z | <a href="https://huggingface.co/spaces/akhaliq/Qwen3-VL-2B-Instruct" target="_blank" style="margin: 2px;">
<img alt="Demo" src="https://img.shields.io/badge/Demo-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
# Qwen3-VL-2B-Instruct
Meet Qwen3-VL — the most powerful vision-language model i... | [] |
stable-diffusion-v1-5/stable-diffusion-v1-5 | stable-diffusion-v1-5 | 2024-09-07T16:20:30Z | 1,681,388 | 1,055 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"arxiv:2207.12598",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:1910.09700",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"... | text-to-image | 2024-08-30T09:48:48Z | # Stable Diffusion v1-5 Model Card
### ⚠️ This repository is a mirror of the now deprecated `ruwnayml/stable-diffusion-v1-5`, this repository or organization are not affiliated in any way with RunwayML.
Modifications to the original model card are in <span style="color:crimson">red</span> or <span style="color:darkgre... | [] |
KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5 | KaLM-Embedding | 2025-11-04T10:29:34Z | 10,932 | 58 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen2",
"Retrieval",
"STS",
"Classification",
"Clustering",
"Reranking",
"vllm",
"feature-extraction",
"custom_code",
"en",
"zh",
"dataset:HIT-TMG/KaLM-embedding-pretrain-data",
"dataset:KaLM-Embedding/KaLM-embedding-finetuning-data",
"arxiv:250... | feature-extraction | 2025-09-29T12:18:19Z | <!-- <p align="center">
<img src="imgs/logo.jpg" width="800"/>
<p>
-->
<h1 align="center">KaLM-Embedding-V2.5</h1>
<p align="center">
<a href="https://huggingface.co/KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5">
<img src="https://img.shields.io/badge/%F0%9F%A4%97_HuggingFace-Model-ffbd45.s... | [] |
microsoft/deberta-v3-large | microsoft | 2023-03-19T06:24:32Z | 1,024,985 | 274 | transformers | [
"transformers",
"pytorch",
"tf",
"deberta-v2",
"deberta",
"deberta-v3",
"fill-mask",
"en",
"arxiv:2006.03654",
"arxiv:2111.09543",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | ## DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
[DeBERTa](https://arxiv.org/abs/2006.03654) improves the BERT and RoBERTa models using disentangled attention and enhanced mask decoder. With those two improvements, DeBERTa out perform RoBERTa on a majority o... | [] |
mistralai/Voxtral-Mini-4B-Realtime-2602 | mistralai | 2026-03-11T15:04:02Z | 736,579 | 725 | vllm | [
"vllm",
"safetensors",
"voxtral_realtime",
"mistral-common",
"automatic-speech-recognition",
"en",
"fr",
"es",
"de",
"ru",
"zh",
"ja",
"it",
"pt",
"nl",
"ar",
"hi",
"ko",
"arxiv:2602.11298",
"base_model:mistralai/Ministral-3-3B-Base-2512",
"base_model:finetune:mistralai/Minis... | automatic-speech-recognition | 2026-01-21T17:22:02Z | # Voxtral Mini 4B Realtime 2602
Voxtral Mini 4B Realtime 2602 is a **multilingual, realtime speech-transcription model** and among the first open-source solutions to achieve accuracy comparable to offline systems with a delay of **<500ms**.
It supports **13 languages** and outperforms existing open-source baselines ac... | [] |
mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-GGUF | mradermacher | 2025-04-06T22:03:08Z | 2,648 | 34 | transformers | [
"transformers",
"gguf",
"en",
"base_model:stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated",
"base_model:quantized:stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-01-21T03:44:28Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated
<!-- provided-files -->
weighted/imatrix quants are available at http... | [] |
OpenGVLab/InternVL2_5-8B | OpenGVLab | 2025-03-25T06:12:23Z | 68,683 | 103 | 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 | 2024-11-20T16:38:09Z | # InternVL2_5-8B
[\[📂 GitHub\]](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/2412.0... | [] |
Aasher/Orpheus-Urdu-TTS-Zia-Mohyeddin | Aasher | 2025-08-10T17:29:35Z | 155 | 3 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"urdu",
"tts",
"text-to-speech",
"orpheus",
"unsloth",
"voice-clone",
"zia-mohiuddin",
"ur",
"dataset:muhammadsaadgondal/urdu-tts",
"base_model:mahwizzzz/orpheus-urdu-tts",
"base_model:finetune:mahwizzzz/orpheus-urdu-tts",
"lic... | text-to-speech | 2025-08-10T16:08:04Z | # Orpheus-Urdu-TTS-Zia-Mohyeddin
This model is a fine-tuned version of `mahwizzzz/orpheus-urdu-tts`, specifically adapted to replicate the iconic voice and oratorical style of the legendary Pakistani orator, Zia Mohyeddin.
The model was fine-tuned on the `muhammadsaadgondal/urdu-tts` dataset, which contains high-qual... | [] |
mradermacher/MathSmith-HC-Problem-Synthesizer-Qwen3-8B-i1-GGUF | mradermacher | 2026-04-05T04:30:42Z | 209 | 1 | transformers | [
"transformers",
"gguf",
"verl",
"math",
"synthetic-data",
"en",
"dataset:Jasaxion/MathSmith-HC-Problems",
"base_model:Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B",
"base_model:quantized:Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B",
"license:apache-2.0",
"endpoints_compatible",
"r... | null | 2025-11-12T15:10:25Z | ## 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_... | [] |
agentica-org/DeepScaleR-1.5B-Preview | agentica-org | 2025-04-09T20:58:27Z | 16,240 | 574 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"en",
"dataset:AI-MO/NuminaMath-CoT",
"dataset:KbsdJames/Omni-MATH",
"dataset:RUC-AIBOX/STILL-3-Preview-RL-Data",
"dataset:hendrycks/competition_math",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"base_model:finetune:deepseek... | text-generation | 2025-01-29T10:58:40Z | <div align="center">
<span style="font-family: default; font-size: 1.5em;">DeepScaleR-1.5B-Preview</span>
<div>
🚀 Democratizing Reinforcement Learning for LLMs 🌟
</div>
</div>
<br>
<div align="center" style="line-height: 1;">
<a href="https://github.com/agentica-project/rllm" style="margin: 2px;">
<img alt="Cod... | [] |
SmilingWolf/wd-swinv2-tagger-v3 | SmilingWolf | 2024-03-16T20:26:32Z | 17,072 | 83 | timm | [
"timm",
"onnx",
"safetensors",
"license:apache-2.0",
"region:us"
] | null | 2024-03-06T17:01:47Z | # WD SwinV2 Tagger v3
Supports ratings, characters and general tags.
Trained using https://github.com/SmilingWolf/JAX-CV.
TPUs used for training kindly provided by the [TRC program](https://sites.research.google/trc/about/).
## Dataset
Last image id: 7220105
Trained on Danbooru images with IDs modulo 0000-0899. ... | [
{
"start": 535,
"end": 537,
"text": "F1",
"label": "evaluation metric",
"score": 0.7191984057426453
},
{
"start": 582,
"end": 584,
"text": "F1",
"label": "evaluation metric",
"score": 0.6774795651435852
}
] |
mradermacher/Qwen3.5-9B-Claude-4.6-HighIQ-THINKING-HERETIC-UNCENSORED-i1-GGUF | mradermacher | 2026-03-04T11:50:42Z | 17,658 | 8 | transformers | [
"transformers",
"gguf",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"writing",
"vivid prosing",
... | null | 2026-03-04T11:04:52Z | ## 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": 519,
"text": "Qwen3.5-9B-Claude-4.6-HighIQ-THINKING-HERETIC-UNCENSORED",
"label": "benchmark name",
"score": 0.6840816140174866
},
{
"start": 656,
"end": 720,
"text": "Qwen3.5-9B-Claude-4.6-HighIQ-THINKING-HERETIC-UNCENSORED-i1-GGUF",
"label": "benchmar... |
Saktsant/Qwen3-Omni-30B-A3B-Instruct-AWQ | Saktsant | 2026-01-06T03:37:43Z | 1,078 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_omni_moe",
"text-to-audio",
"multimodal",
"any-to-any",
"en",
"base_model:Qwen/Qwen3-Omni-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Omni-30B-A3B-Instruct",
"license:other",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | any-to-any | 2025-12-31T07:33:35Z | # Qwen3-Omni
<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Overview
### Introduction
<p align="center">
<img src="https://... | [
{
"start": 2,
"end": 12,
"text": "Qwen3-Omni",
"label": "benchmark name",
"score": 0.6527451872825623
},
{
"start": 360,
"end": 370,
"text": "Qwen3-Omni",
"label": "benchmark name",
"score": 0.6469911932945251
},
{
"start": 413,
"end": 423,
"text": "Qwen3-... |
Jinx-org/Jinx-gpt-oss-20b-GGUF | Jinx-org | 2025-09-06T12:03:58Z | 908 | 79 | gguf | [
"gguf",
"text-generation",
"arxiv:2508.08243",
"base_model:Jinx-org/Jinx-gpt-oss-20b",
"base_model:quantized:Jinx-org/Jinx-gpt-oss-20b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-14T06:57:05Z | ## Model Description
Jinx is a "helpful-only" variant of popular open-weight language models that responds to all queries without safety refusals. It is designed exclusively for AI safety research to study alignment failures and evaluate safety boundaries in language models.
### Key Characteristics
- **Zero Refusal ... | [] |
AEON-7/supergemma4-26b-abliterated-multimodal-nvfp4 | AEON-7 | 2026-05-01T06:44:22Z | 2,087 | 4 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"gemma",
"google",
"moe",
"mixture-of-experts",
"sparse-moe",
"transformer",
"26b",
"4b-active",
"nvfp4",
"fp4",
"4-bit",
"quantized",
"modelopt",
"weight-quantization",
"uncensored",
"abliterated",
"unfiltered",
... | text-generation | 2026-04-13T18:20:59Z | # SuperGemma4 26B Abliterated Multimodal — NVFP4
NVFP4-quantized version of [Jiunsong/supergemma4-26b-abliterated-multimodal](https://huggingface.co/Jiunsong/supergemma4-26b-abliterated-multimodal) — an abliterated (uncensored) Gemma 4 26B Mixture-of-Experts multimodal model with thinking/reasoning capabilities.
Quan... | [] |
openai/clip-vit-large-patch14 | openai | 2023-09-15T15:49:35Z | 22,482,658 | 1,973 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"clip",
"zero-shot-image-classification",
"vision",
"arxiv:2103.00020",
"arxiv:1908.04913",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2022-03-02T23:29:05Z | # Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found [here](https://github.com/openai/CLIP/blob/main/model-card.md).
## Model Details
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer visio... | [] |
FutureMa/Qwen3.5-35B-A3B-LaTeX-OCR | FutureMa | 2026-02-26T00:59:18Z | 112 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"latex",
"ocr",
"math",
"handwriting",
"vision",
"multimodal",
"lora",
"qwen",
"moe",
"conversational",
"en",
"zh",
"dataset:linxy/LaTeX_OCR",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:adapter:Qwen/Qwen3.5-3... | image-text-to-text | 2026-02-26T00:43:55Z | # Qwen3.5-35B-A3B-LaTeX-OCR
A fine-tuned version of [Qwen/Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B) for LaTeX OCR tasks, specialized in recognizing handwritten mathematical expressions.
## Model Details
### Model Description
- **Developed by:** FutureMa
- **Model type:** Vision-Language Model (M... | [] |
huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated | huihui-ai | 2024-11-25T11:09:22Z | 1,148 | 35 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"abliterated",
"uncensored",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-Coder-32B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Coder-32B-Instruct",
"license:apache-2.0",
... | text-generation | 2024-11-12T13:46:05Z | # huihui-ai/Qwen2.5-Code-32B-Instruct-abliterated
This is an uncensored version of [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more ab... | [] |
lightx2v/Wan-NVFP4 | lightx2v | 2025-12-23T13:43:08Z | 975 | 64 | diffusers | [
"diffusers",
"diffusion-single-file",
"comfyui",
"distillation",
"NVFP4",
"video",
"video genration",
"base_model:Wan-AI/Wan2.1-I2V-14B-480P",
"base_model:finetune:Wan-AI/Wan2.1-I2V-14B-480P",
"license:apache-2.0",
"region:us"
] | null | 2025-12-23T05:31:10Z | # 🎬 Wan-NVFP4-4Steps Models
> **NVFP4 Quantization-Aware Step Distillation for Blackwell Architecture**
[](https://github.com/ModelTC/LightX2V)
[](https://huggingface.co/lightx2... | [] |
GuminiResearch/Gumini-1.5B-Base-i1-GGUF | GuminiResearch | 2025-12-17T08:49:53Z | 305 | 2 | gguf | [
"gguf",
"text-generation",
"korean",
"bilingual",
"qwen2",
"built-with-qwen",
"inheritune",
"llama-cpp",
"quantized",
"imatrix",
"ko",
"en",
"arxiv:2404.08634",
"base_model:GuminiResearch/Gumini-1.5B-Base",
"base_model:quantized:GuminiResearch/Gumini-1.5B-Base",
"license:other",
"end... | text-generation | 2025-12-17T04:25:10Z | # 🐻 Gumini-1.5B-Base-i1-GGUF (구미니)
<p align="center">
<img src="https://img.shields.io/badge/Parameters-1.54B-blue" style="display:inline-block; margin-right:6px;" />
<img src="https://img.shields.io/badge/Layers-16-green" style="display:inline-block; margin-right:6px;" />
<img src="https://img.shields.io/badge... | [] |
OuteAI/Llama-OuteTTS-1.0-1B-GGUF | OuteAI | 2025-07-10T17:06:42Z | 4,082 | 104 | outetts | [
"outetts",
"gguf",
"text-to-speech",
"en",
"ar",
"zh",
"nl",
"fr",
"de",
"it",
"ja",
"ko",
"lt",
"ru",
"es",
"pt",
"be",
"bn",
"ka",
"hu",
"lv",
"fa",
"pl",
"sw",
"ta",
"uk",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-to-speech | 2025-04-06T19:18:26Z | <div class="p-4 bg-gray-50 dark:bg-gray-800 rounded-lg shadow-sm mb-12">
<div class="text-center mb-4">
<h2 class="text-xl font-light text-gray-900 dark:text-white tracking-tight mt-0 mb-0">Oute A I</h2>
<div class="flex justify-center gap-6 mt-4">
<a href="https://www.outeai.com/" target="_blank" class... | [] |
mradermacher/StormSeeker-24B-v1-GGUF | mradermacher | 2026-01-11T23:06:38Z | 181 | 1 | transformers | [
"transformers",
"gguf",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"writing",
"vivid prosing",
"vivid writin... | null | 2026-01-11T20:54:40Z | ## 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... | [
{
"start": 360,
"end": 378,
"text": "StormSeeker-24B-v1",
"label": "benchmark name",
"score": 0.6464836001396179
},
{
"start": 515,
"end": 538,
"text": "StormSeeker-24B-v1-GGUF",
"label": "benchmark name",
"score": 0.7604410648345947
},
{
"start": 622,
"end": ... |
mradermacher/HDP-1B-GGUF | mradermacher | 2026-02-25T10:30:46Z | 597 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Novaciano/HDP-1B",
"base_model:quantized:Novaciano/HDP-1B",
"endpoints_compatible",
"region:us"
] | null | 2026-02-24T22:39:16Z | ## 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": 362,
"end": 368,
"text": "HDP-1B",
"label": "benchmark name",
"score": 0.6099088191986084
},
{
"start": 505,
"end": 516,
"text": "HDP-1B-GGUF",
"label": "benchmark name",
"score": 0.6572685241699219
},
{
"start": 1100,
"end": 1106,
"text": "HDP-... |
TheBloke/MythoMax-L2-13B-GPTQ | TheBloke | 2023-09-27T12:45:40Z | 365 | 220 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"base_model:Gryphe/MythoMax-L2-13b",
"base_model:quantized:Gryphe/MythoMax-L2-13b",
"license:other",
"text-generation-inference",
"4-bit",
"gptq",
"deploy:azure",
"region:us"
] | text-generation | 2023-08-11T07:27:24Z | <!-- 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... | [] |
QuantFactory/Phi-3-mini-4k-instruct-GGUF | QuantFactory | 2024-08-03T20:16:47Z | 577 | 6 | null | [
"gguf",
"nlp",
"code",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-04-23T16:31:47Z | ---
license: mit
license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE
language:
- en
pipeline_tag: text-generation
tags:
- nlp
- code
inference:
parameters:
temperature: 0.0
widget:
- messages:
- role: user
content: Can you provide ways to eat combinations o... | [] |
TBOGamer22/wav2vec2-quran-phonetics | TBOGamer22 | 2026-01-21T20:33:13Z | 129,539 | 5 | transformers | [
"transformers",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"quran",
"arabic",
"phonetics",
"tajweed",
"forced-alignment",
"speech-recognition",
"ar",
"dataset:Buraaq/quran-md-words",
"base_model:facebook/wav2vec2-base",
"base_model:finetune:facebook/wav2vec2-base",
"licen... | automatic-speech-recognition | 2026-01-21T20:13:11Z | # Quranic Wav2Vec2 Phonetic ASR
## Model Description
**Quranic Wav2Vec2 Phonetic ASR** is a fine-tuned `wav2vec2` model designed specifically for **phonetic transcription of Quranic recitation**.
Unlike standard Arabic ASR systems that output orthographic Arabic text, this model outputs a **phonetic (sound-level) re... | [] |
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