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 |
|---|---|---|---|---|---|---|---|---|---|---|
bartowski/Delta-Vector_Austral-24B-Winton-GGUF | bartowski | 2025-06-16T07:04:43Z | 892 | 3 | null | [
"gguf",
"roleplay",
"finetune",
"axolotl",
"adventure",
"creative-writing",
"Mistral",
"24B",
"text-generation",
"en",
"base_model:Delta-Vector/Austral-24B-Winton",
"base_model:quantized:Delta-Vector/Austral-24B-Winton",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-06-16T04:57:23Z | ## Llamacpp imatrix Quantizations of Austral-24B-Winton by Delta-Vector
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b5669">b5669</a> for quantization.
Original model: https://huggingface.co/Delta-Vector/Austral-24B-Winton
... | [
{
"start": 37,
"end": 55,
"text": "Austral-24B-Winton",
"label": "benchmark name",
"score": 0.626655101776123
}
] |
mlx-community/FLUX.2-klein-9B | mlx-community | 2026-02-21T04:36:46Z | 214 | 1 | diffusers | [
"diffusers",
"safetensors",
"image-generation",
"image-editing",
"flux",
"diffusion-single-file",
"image-to-image",
"en",
"license:other",
"diffusers:Flux2KleinPipeline",
"region:us"
] | image-to-image | 2026-02-21T04:34:38Z | 
The FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, **delivering state-of-the-art quality with end-to-end inference in as low as under a second**. ... | [] |
cyankiwi/ERNIE-4.5-VL-28B-A3B-Thinking-AWQ-4bit | cyankiwi | 2026-01-13T13:57:12Z | 132 | 11 | transformers | [
"transformers",
"safetensors",
"ernie4_5_moe_vl",
"image-text-to-text",
"ERNIE4.5",
"conversational",
"custom_code",
"en",
"zh",
"base_model:baidu/ERNIE-4.5-VL-28B-A3B-Thinking",
"base_model:quantized:baidu/ERNIE-4.5-VL-28B-A3B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"comp... | image-text-to-text | 2025-11-13T10:32:21Z | # ERNIE-4.5-VL-28B-A3B-Thinking AWQ - INT4
## Model Details
### Quantization Details
- **Quantization Method:** cyankiwi AWQ v1.0
- **Bits:** 4
- **Group Size:** 32
- **Calibration Dataset:** [5CD-AI/LLaVA-CoT-o1-Instruct](https://huggingface.co/datasets/5CD-AI/LLaVA-CoT-o1-Instruct)
- **Quantization Tool:** [llm-co... | [
{
"start": 2,
"end": 31,
"text": "ERNIE-4.5-VL-28B-A3B-Thinking",
"label": "benchmark name",
"score": 0.7495033740997314
},
{
"start": 412,
"end": 441,
"text": "ERNIE-4.5-VL-28B-A3B-Thinking",
"label": "benchmark name",
"score": 0.8125572800636292
},
{
"start": 44... |
mradermacher/Kuvera-8B-qwen3-v0.2.1-i1-GGUF | mradermacher | 2025-12-09T03:27:31Z | 168 | 2 | transformers | [
"transformers",
"gguf",
"finance",
"personal_finance",
"Qwen3",
"text-generation-inference",
"en",
"dataset:Akhil-Theerthala/Kuvera-PersonalFinance-V2.1",
"base_model:Akhil-Theerthala/Kuvera-8B-qwen3-v0.2.1",
"base_model:quantized:Akhil-Theerthala/Kuvera-8B-qwen3-v0.2.1",
"license:mit",
"endpo... | null | 2025-08-12T04:34:27Z | ## 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_K... | [] |
Salesforce/GTA1-7B | Salesforce | 2025-10-03T23:23:04Z | 1,263 | 3 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"VLM",
"Computer-Use-Agent",
"OS-Agent",
"GUI",
"Grounding",
"conversational",
"en",
"arxiv:2507.05791",
"license:mit",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-10-01T11:16:15Z | # Introduction
Reinforcement learning (RL) (e.g., GRPO) helps with grounding because of its inherent objective alignment—rewarding successful clicks—rather than encouraging long textual Chain-of-Thought (CoT) reasoning. Unlike approaches that rely heavily on verbose CoT reasoning, GRPO directly incentivizes actionable... | [
{
"start": 51,
"end": 55,
"text": "GRPO",
"label": "benchmark name",
"score": 0.6210203170776367
},
{
"start": 493,
"end": 497,
"text": "GRPO",
"label": "benchmark name",
"score": 0.6061347723007202
},
{
"start": 502,
"end": 523,
"text": "Grounding Perform... |
pvlabs/PingVortexLM-20M | pvlabs | 2026-03-27T16:38:04Z | 395 | 1 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"causal-lm",
"experimental",
"conversational",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-21T15:22:00Z | # PingVortexLM-20M
A small experimental language model based on LLaMA architecture trained on custom English dataset with around 100M tokens.
This model is just an experiment, it is not capable of basic English conversations.
**Base of this model is not publicaly available.**
Built by [PingVortex Labs](https://github.... | [] |
JusperLee/TIGER-DnR | JusperLee | 2025-01-22T10:14:20Z | 1,405 | 20 | null | [
"safetensors",
"audio",
"audio-to-audio",
"en",
"arxiv:2410.01469",
"license:apache-2.0",
"region:us"
] | audio-to-audio | 2025-01-22T08:08:19Z | <h3 align="center">Apollo: Band-sequence Modeling for High-Quality Audio Restoration</h3>
<p align="center">
<strong>Mohan Xu<sup>*</sup>, Kai Li<sup>*</sup>, Guo Chen, Xiaolin Hu</strong><br>
<strong>Tsinghua University, Beijing, China</strong><br>
<strong><sup>*</sup>Equal contribution</strong><br>
<a hr... | [] |
mradermacher/gemma-3-12b-it-vl-Kimi-V2-Heretic-Uncensored-Thinking-i1-GGUF | mradermacher | 2026-02-11T13:48:43Z | 628 | 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",
... | null | 2026-02-11T11:48:48Z | ## 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_... | [] |
parler-tts/parler-tts-mini-expresso | parler-tts | 2024-05-21T17:17:04Z | 522 | 115 | transformers | [
"transformers",
"safetensors",
"parler_tts",
"text-generation",
"text-to-speech",
"annotation",
"en",
"dataset:ylacombe/expresso",
"dataset:reach-vb/jenny_tts_dataset",
"dataset:blabble-io/libritts_r",
"arxiv:2402.01912",
"license:apache-2.0",
"region:us"
] | text-to-speech | 2024-05-15T13:50:19Z | <img src="https://huggingface.co/datasets/parler-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Parler-TTS Mini: Expresso
<a target="_blank" href="https://huggingface.co/spaces/parler-tts/parler-tts-expresso">
<img src="https:... | [] |
mradermacher/Nanbeige4-3B-Thinking-2511-Claude-4.5-Opus-High-Reasoning-Distill-V2-heretic-GGUF | mradermacher | 2025-12-17T16:52:02Z | 190 | 4 | transformers | [
"transformers",
"gguf",
"llm",
"nanbeige",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"base_model:C10X/Nanbeige4-3B-Thinking-2511-Claude-4.5-Opus-High-Reasoning-Distill-V2-heretic",
"base_model:quantized:C10X/Nanbeige4-3B-Thinking-2511-Claude-4.5-Opus-High-Reasoning-Dist... | null | 2025-12-17T10:46:15Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
Xerv-AI/rb-qwen3b-16ds-lora | Xerv-AI | 2026-03-06T11:52:15Z | 135 | 1 | peft | [
"peft",
"safetensors",
"reasoning",
"cot",
"lora",
"qwen",
"math",
"science",
"mi300x",
"text-generation",
"conversational",
"en",
"dataset:AI-MO/NuminaMath-CoT",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:openbmb/UltraData-Math",
"dataset:openai/gsm8k",
"dataset:alle... | text-generation | 2026-03-03T12:00:18Z | # RB-QWEN-3B-16DS-LORA
**ReasonBorn v3** is a specialized LoRA (Low-Rank Adaptation) for **Qwen2.5-3B**, fine-tuned for structured multi-step reasoning. It is trained to decompose complex problems into a specific XML-based reasoning chain (Plan → Step-by-Step Reasoning → Verified Conclusion).
This version was traine... | [] |
neuphonic/neutts-air-q8-gguf | neuphonic | 2026-02-10T13:07:26Z | 2,406 | 37 | null | [
"gguf",
"audio",
"speech",
"speech-language-models",
"text-to-speech",
"dataset:amphion/Emilia-Dataset",
"dataset:neuphonic/emilia-yodas-english-neucodec",
"base_model:neuphonic/neutts-air",
"base_model:quantized:neuphonic/neutts-air",
"license:apache-2.0",
"endpoints_compatible",
"region:us",... | text-to-speech | 2025-09-23T13:42:03Z | # NeuTTS Air Q8-GGUF ☁️
[](https://www.youtube.com/watch?v=YAB3hCtu5wE)
*Created by [Neuphonic](http://neuphonic.com/) - building faster, smaller, on-device voice AI*
State-of-the-art Voice AI has been locked behind web APIs for too long. NeuTTS Air is the world’s first super-real... | [] |
groxaxo/qwen3-embed-8b-gptq | groxaxo | 2026-02-26T09:07:11Z | 267 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"embedding",
"quantization",
"gptq",
"4-bit",
"nlp",
"base_model:Qwen/Qwen3-Embedding-8B",
"base_model:quantized:Qwen/Qwen3-Embedding-8B",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"compressed-... | feature-extraction | 2026-02-22T23:09:50Z | # Qwen3-Embedding-8B-GPTQ (4-bit Quantized)
**GPTQ W4A16 quantized version of Qwen3-Embedding-8B**
- **Original Size:** 15GB → **Quantized Size:** 4.5GB (**70% reduction**)
- **Semantic Accuracy:** 99.14% preserved
- **Context Window:** Up to 32k tokens
- **Quantization:** GPTQ W4A16 (4-bit weights, 16-bit activation... | [
{
"start": 179,
"end": 196,
"text": "Semantic Accuracy",
"label": "evaluation metric",
"score": 0.704225480556488
},
{
"start": 365,
"end": 383,
"text": "Qwen3-Embedding-8B",
"label": "benchmark name",
"score": 0.6708126664161682
},
{
"start": 751,
"end": 768,... |
mradermacher/ZwZ-8B-PaperWitch-heresy-GGUF | mradermacher | 2026-03-02T08:25:23Z | 622 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"dataset:inclusionAI/ZwZ-RL-VQA",
"dataset:inclusionAI/ZoomBench",
"base_model:MuXodious/ZwZ-8B-PaperWitch-heresy",
"base_model:quantized:MuXodious/ZwZ-8B-PaperWitch-heresy",
"license:apache-2.0",
"endpoints_... | null | 2026-03-02T07:58:43Z | ## 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... | [] |
ByteDance/Sa2VA-8B | ByteDance | 2025-09-08T10:08:09Z | 2,748 | 66 | transformers | [
"transformers",
"safetensors",
"sa2va_chat",
"feature-extraction",
"Sa2VA",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"arxiv:2501.04001",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2025-01-07T16:09:31Z | # Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
[\[📂 GitHub\]](https://github.com/magic-research/Sa2VA)
[\[📜 Sa2VA paper\]](https://arxiv.org/abs/2501.04001)
[\[🚀 Quick Start\]](#quick-start)
## Introduction
Sa2VA is an MLLM capable of question answering, visual prompt u... | [
{
"start": 2,
"end": 7,
"text": "Sa2VA",
"label": "benchmark name",
"score": 0.848152220249176
},
{
"start": 138,
"end": 143,
"text": "Sa2VA",
"label": "benchmark name",
"score": 0.7853819727897644
},
{
"start": 150,
"end": 155,
"text": "Sa2VA",
"label... |
cisco-ai/cisco-time-series-model-1.0 | cisco-ai | 2026-04-24T06:44:09Z | 212 | 5 | transformers | [
"transformers",
"safetensors",
"cisco-time-series-model-1.0",
"foundation models",
"forecasting",
"pretrained models",
"time-series",
"time-series-forecasting",
"time series foundation models",
"forecasts",
"dataset:Salesforce/GiftEvalPretrain",
"dataset:autogluon/chronos_datasets",
"arxiv:2... | time-series-forecasting | 2026-03-03T09:14:31Z | # Cisco Time Series Model 1.0
The Cisco Time Series Model is a foundation model trained to perform univariate zero-shot forecasting. Its core is a sequence of decoder-only transformer layers. It is architecturally inspired by the [TimesFM2.0 model](https://huggingface.co/google/timesfm-2.0-500m-pytorch), with multires... | [
{
"start": 2,
"end": 25,
"text": "Cisco Time Series Model",
"label": "benchmark name",
"score": 0.8554844260215759
},
{
"start": 35,
"end": 58,
"text": "Cisco Time Series Model",
"label": "benchmark name",
"score": 0.8725495934486389
},
{
"start": 1489,
"end":... |
obi/deid_bert_i2b2 | obi | 2022-08-22T13:28:40Z | 3,621 | 24 | transformers | [
"transformers",
"pytorch",
"bert",
"token-classification",
"deidentification",
"medical notes",
"ehr",
"phi",
"en",
"dataset:I2B2",
"arxiv:1904.03323",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | # Model Description
* A ClinicalBERT [[Alsentzer et al., 2019]](https://arxiv.org/pdf/1904.03323.pdf) model fine-tuned for de-identification of medical notes.
* Sequence Labeling (token classification): The model was trained to predict protected health information (PHI/PII) entities (spans). A list of protected health... | [] |
internlm/CapRL-Qwen3VL-4B-GGUF | internlm | 2025-12-29T02:04:42Z | 108 | 3 | transformers | [
"transformers",
"gguf",
"multimodal",
"image caption",
"captioning",
"image-text-to-text",
"en",
"dataset:internlm/CapRL-2M",
"arxiv:2509.22647",
"base_model:internlm/CapRL-Qwen3VL-4B",
"base_model:quantized:internlm/CapRL-Qwen3VL-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:... | image-text-to-text | 2025-12-26T05:13:42Z | ## About
static quants of https://huggingface.co/internlm/CapRL-Qwen3VL-4B
weighted/imatrix quants are available at https://huggingface.co/internlm/CapRL-Qwen3VL-4B-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGU... | [] |
mradermacher/bella-tao-merged-qwen2_5-coder-7b-GGUF | mradermacher | 2026-02-27T11:04:52Z | 845 | 1 | transformers | [
"transformers",
"gguf",
"taoism",
"coding-mentor",
"en",
"dataset:juiceb0xc0de/bella-tao",
"base_model:juiceb0xc0de/bella-tao-merged-qwen2_5-coder-7b",
"base_model:quantized:juiceb0xc0de/bella-tao-merged-qwen2_5-coder-7b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversatio... | null | 2026-02-27T07:21:19Z | ## 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... | [] |
mixedbread-ai/mxbai-edge-colbert-v0-17m | mixedbread-ai | 2026-04-15T17:11:58Z | 122,524 | 34 | PyLate | [
"PyLate",
"onnx",
"safetensors",
"modernbert",
"feature-extraction",
"ColBERT",
"sentence-transformers",
"sentence-similarity",
"generated_from_trainer",
"transformers",
"en",
"arxiv:2510.14880",
"arxiv:2510.12327",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"e... | sentence-similarity | 2025-10-13T08:54:04Z | <br><br>
<p align="center">
<svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" viewBox="0 0 2020 1130" width="150" height="150" aria-hidden="true"><path fill="#e95a0f" d="M398.167 621.992c-1.387-20.362-4.092-40.739-3.851-61.081.355-30.085 6.873-59.139 21.253-85.976 10.487-19.573 24.09-36.822 40.662-51.515 16... | [] |
DeepMount00/Italian_NER_XXL_v2 | DeepMount00 | 2025-06-11T10:06:22Z | 185,116 | 28 | null | [
"safetensors",
"bert",
"legal",
"finance",
"medical",
"privacy",
"named-entity-recognition",
"token-classification",
"it",
"en",
"license:apache-2.0",
"region:us"
] | token-classification | 2025-05-03T08:39:40Z | ---
**💡 Found this resource helpful?** Creating and maintaining open source AI models and datasets requires significant computational resources. If this work has been valuable to you, consider [supporting my research](https://buymeacoffee.com/michele.montebovi) to help me continue building tools that benefit the enti... | [
{
"start": 703,
"end": 711,
"text": "F1 score",
"label": "evaluation metric",
"score": 0.7744892239570618
}
] |
majentik/Qwen3.6-35B-A3B-RotorQuant-GGUF-IQ4_XS | majentik | 2026-04-21T10:07:19Z | 988 | 4 | gguf | [
"gguf",
"rotorquant",
"kv-cache-quantization",
"qwen",
"qwen-3.6",
"qwen3.6",
"moe",
"multimodal",
"instruct",
"llama-cpp",
"quantized",
"image-text-to-text",
"arxiv:2504.19874",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:quantized:Qwen/Qwen3.6-35B-A3B",
"license:apache-2.0",
"en... | image-text-to-text | 2026-04-17T04:31:05Z | # Qwen3.6-35B-A3B-RotorQuant-GGUF-IQ4_XS
GGUF IQ4_XS weight-quantized variant of [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) optimised for use with **RotorQuant** KV cache compression via a dedicated llama.cpp fork.
> **Important:** RotorQuant KV cache types (`planar3`, `iso3`) are **not** ava... | [] |
caiovicentino1/Qwopus3.5-27B-v3-PolarQuant-v7-GPTQ | caiovicentino1 | 2026-04-09T19:30:40Z | 130 | 3 | null | [
"safetensors",
"qwen3_5",
"quantized",
"gptq",
"int4",
"polarquant",
"vllm",
"marlin",
"text-generation",
"conversational",
"arxiv:2603.29078",
"base_model:Jackrong/Qwopus3.5-27B-v3",
"base_model:quantized:Jackrong/Qwopus3.5-27B-v3",
"license:apache-2.0",
"model-index",
"4-bit",
"reg... | text-generation | 2026-04-08T23:13:57Z | # 🧊 Qwopus3.5-27B-v3 PolarQuant v7 GPTQ
## 🎯 27B Reasoning Model in 19 GB
| Metric | INT4 (ours) | BF16 (base) | Delta |
|--------|:-----------:|:-----------:|:-----:|
| 🎯 **HumanEval (thinking)** | **78.66%** | 97.56% (Jackrong) | -18.9pp |
| 🎯 **HumanEval (standard)** | **55.49%** | not measured | — |
| 📦 Down... | [
{
"start": 87,
"end": 91,
"text": "INT4",
"label": "evaluation metric",
"score": 0.8738020658493042
},
{
"start": 101,
"end": 105,
"text": "BF16",
"label": "evaluation metric",
"score": 0.7566399574279785
},
{
"start": 176,
"end": 185,
"text": "HumanEval",... |
DavidAU/Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill | DavidAU | 2026-03-24T03:31:09Z | 114 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"256k context",
"Qwen3",
"Mixture of Experts",
"MOE",
"MOE Dense",
"2 experts",
"4Bx12",
"All use cases",
"bfloat16",
"merge",
"thinking",
"reasoning",
"GPT-5.1-High-Reasoning-Distill",
"Gemini-3-Pro-Preview-High-Reason... | text-generation | 2026-03-24T02:55:47Z | <small><font color="red">IMPORTANT:</font> See section below on how to access experts directly to get full use from this model.
12 Examples at the bottom of the page showing the range of outputs by selecting one or more expert models. </small>
<h2>Qwen3-48B-A4B-Savant-Commander-GATED-12x-Closed-Open-Source-Distill</h... | [] |
nyu-visionx/Cambrian-S-1.5B | nyu-visionx | 2025-11-07T03:35:52Z | 123 | 3 | transformers | [
"transformers",
"safetensors",
"cambrian_qwen",
"text-generation",
"multimodal",
"video-understanding",
"spatial-reasoning",
"vision-language",
"image-to-text",
"en",
"dataset:nyu-visionx/VSI-590K",
"arxiv:2511.04670",
"base_model:Qwen/Qwen2.5-1.5B-Instruct",
"base_model:finetune:Qwen/Qwen... | image-to-text | 2025-11-05T19:35:36Z | # Cambrian-S-1.5B
**[Website](https://vision-x-nyu.github.io/cambrian-s.github.io/)** | **[Paper](https://arxiv.org/abs/2025)** | **[GitHub](https://github.com/cambrian-mllm/cambrian-s)** | **[Cambrian-S Family](https://huggingface.co/collections/nyu-visionx/cambrian-s-models)**
**Authors**: [Shusheng Yang*](https://... | [
{
"start": 2,
"end": 17,
"text": "Cambrian-S-1.5B",
"label": "benchmark name",
"score": 0.9455257654190063
},
{
"start": 491,
"end": 506,
"text": "Cambrian-S-1.5B",
"label": "benchmark name",
"score": 0.9548311829566956
},
{
"start": 1409,
"end": 1424,
"te... |
mradermacher/Apertus-SEA-LION-v4-8B-IT-i1-GGUF | mradermacher | 2026-02-06T23:00:11Z | 121 | 1 | transformers | [
"transformers",
"gguf",
"en",
"zh",
"vi",
"id",
"th",
"fil",
"ta",
"ms",
"my",
"base_model:aisingapore/Apertus-SEA-LION-v4-8B-IT",
"base_model:quantized:aisingapore/Apertus-SEA-LION-v4-8B-IT",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-06T17:31:11Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 629,
"end": 662,
"text": "Apertus-SEA-LION-v4-8B-IT-i1-GGUF",
"label": "benchmark name",
"score": 0.6821872591972351
},
{
"start": 1227,
"end": 1260,
"text": "Apertus-SEA-LION-v4-8B-IT-i1-GGUF",
"label": "benchmark name",
"score": 0.6384034156799316
}
] |
Hcompany/Holo2-235B-A22B | Hcompany | 2026-03-18T14:07:41Z | 122 | 29 | transformers | [
"transformers",
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"multimodal",
"action",
"pytorch",
"computer use",
"gui agents",
"conversational",
"en",
"base_model:Qwen/Qwen3-VL-235B-A22B-Thinking",
"base_model:finetune:Qwen/Qwen3-VL-235B-A22B-Thinking",
"license:cc-by-nc-4.0",
"ev... | image-text-to-text | 2026-01-28T09:46:14Z | # **Holo2: Foundational Models for Navigation and Computer Use Agents**
[](https://github.com/hcompai/hai-cookbook/tree/main/holo2)
## **Model Description**
**Holo2** represents the next major step in develo... | [] |
mradermacher/Role-mo-V1-7B-GGUF | mradermacher | 2025-12-23T14:38:11Z | 127 | 1 | transformers | [
"transformers",
"gguf",
"base_model:adapter:allenai/Olmo-3-7B-Instruct",
"dpo",
"lora",
"trl",
"unsloth",
"en",
"base_model:ConicCat/Role-mo-V1-7B",
"base_model:adapter:ConicCat/Role-mo-V1-7B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-23T11:02:15Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 1154,
"end": 1158,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6002893447875977
}
] |
ovedrive/qwen-image-edit-4bit | ovedrive | 2025-08-25T14:02:48Z | 7,564 | 36 | diffusers | [
"diffusers",
"safetensors",
"image-to-image",
"en",
"zh",
"arxiv:2508.02324",
"base_model:Qwen/Qwen-Image-Edit",
"base_model:quantized:Qwen/Qwen-Image-Edit",
"license:apache-2.0",
"diffusers:QwenImageEditPipeline",
"region:us"
] | image-to-image | 2025-08-19T01:14:27Z | This is an NF4 quantized model of Qwen-image-edit so it can run on GPUs using 20GB VRAM. You can run it on lower VRAM like 16GB.
There were other NF4 models but they made the mistake of blindly quantizing all layers in the transformer.
This one does not. We retain some layers at full precision in order to ensure that... | [] |
arcee-ai/Trinity-Nano-Base | arcee-ai | 2025-12-11T21:46:28Z | 3,022 | 25 | transformers | [
"transformers",
"safetensors",
"afmoe",
"text-generation",
"conversational",
"custom_code",
"en",
"es",
"fr",
"de",
"it",
"pt",
"ru",
"ar",
"hi",
"ko",
"zh",
"base_model:arcee-ai/Trinity-Nano-Base-Pre-Anneal",
"base_model:finetune:arcee-ai/Trinity-Nano-Base-Pre-Anneal",
"licens... | text-generation | 2025-12-01T18:28:08Z | <div align="center">
<picture>
<img
src="https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOW_mgVGeic9WJ.png"
alt="Arcee Trinity Mini"
style="max-width: 100%; height: auto;"
>
</picture>
</div>
# Trinity Nano Base
Trinity Nano is an Arcee AI 6B MoE mo... | [] |
Qiuchen-Wang/Qwen2.5-VL-7B-VRAG | Qiuchen-Wang | 2025-06-04T17:21:54Z | 1,647 | 9 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"conversational",
"en",
"arxiv:2505.22019",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-05-28T15:08:43Z | Arxiv: https://arxiv.org/abs/2505.22019
Github: https://github.com/Alibaba-NLP/VRAG
🎉 The training code and demo will be released.
<div align="center">
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/657429d833e5a4bf5b278615/_AO8q0UmRIVR-sBUQG4zd.jpeg" width="65%" height="60%" ... | [] |
mradermacher/Qwen3.5-27B-Guardpoint-GGUF | mradermacher | 2026-03-13T16:10:25Z | 1,606 | 3 | transformers | [
"transformers",
"gguf",
"guardpoint",
"valiant",
"valiant-labs",
"qwen",
"qwen-3.5",
"qwen-3.5-27b",
"27b",
"reasoning",
"science",
"science-reasoning",
"medicine",
"internal-medicine",
"clinical-diagnosis",
"medical-understanding",
"medical-reasoning",
"medical-diagnosis",
"medi... | null | 2026-03-13T06:55:21Z | ## 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": 550,
"text": "Qwen3.5-27B-Guardpoint-GGUF",
"label": "benchmark name",
"score": 0.6404650807380676
},
{
"start": 1202,
"end": 1206,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6018206477165222
}
] |
OpenMed/OpenMed-ZeroShot-NER-Disease-Multi-209M | OpenMed | 2025-10-19T07:53:21Z | 82,660 | 4 | gliner | [
"gliner",
"pytorch",
"token-classification",
"entity recognition",
"named-entity-recognition",
"zero-shot",
"zero-shot-ner",
"zero shot",
"biomedical-nlp",
"disease-entity-recognition",
"medical-diagnosis",
"pathology",
"biocuration",
"disease",
"en",
"arxiv:2508.01630",
"license:apa... | token-classification | 2025-09-15T20:54:50Z | # 🧬 [OpenMed-ZeroShot-NER-Disease-Multi-209M](https://huggingface.co/OpenMed/OpenMed-ZeroShot-NER-Disease-Multi-209M)
**Specialized model for Disease Entity Recognition - Disease entities from the BC5CDR dataset**
[](https://opensource.org/license... | [] |
Euraika/EuroLLM-22B-Instruct-GPTQ | Euraika | 2026-02-01T20:06:51Z | 366 | 2 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"gptq",
"4bit",
"quantized",
"eurollm",
"multilingual",
"european",
"instruct",
"conversational",
"en",
"de",
"fr",
"it",
"es",
"pt",
"pl",
"nl",
"tr",
"sv",
"cs",
"el",
"hu",
"ro",
"fi",
"uk",
"sk",
... | text-generation | 2026-02-01T13:29:22Z | # EuroLLM-22B-Instruct GPTQ (4-bit)
This is a 4-bit GPTQ quantized version of [utter-project/EuroLLM-22B-Instruct-2512](https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512).
## Model Details
| Attribute | Value |
|-----------|-------|
| Original Model | EuroLLM-22B-Instruct-2512 |
| Quantization | GPTQ 4-... | [] |
prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1-GGUF | prithivMLmods | 2025-12-15T18:27:55Z | 1,004 | 1 | transformers | [
"transformers",
"gguf",
"qwen3_vl",
"text-generation-inference",
"abliterated",
"llama.cpp",
"image-text-to-text",
"en",
"base_model:prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1",
"base_model:quantized:prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1",
"license:apache-2.0",
"endpoints_co... | image-text-to-text | 2025-12-15T17:56:26Z | # **Qwen3-VL-8B-Instruct-abliterated-v1-GGUF**
> The Qwen3-VL-8B-Instruct-abliterated-v1 from prithivMLmods is an 8B-parameter vision-language model variant of Alibaba's Qwen3-VL-8B-Instruct, modified through abliteration (v1.0) to eliminate safety refusals and content filters, enabling uncensored, highly detailed cap... | [] |
huihui-ai/Huihui-Qwen3.5-0.8B-abliterated | huihui-ai | 2026-03-03T11:08:22Z | 5,141 | 16 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"abliterated",
"uncensored",
"conversational",
"base_model:Qwen/Qwen3.5-0.8B",
"base_model:finetune:Qwen/Qwen3.5-0.8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-03T10:19:58Z | # huihui-ai/Huihui-Qwen3.5-0.8B-abliterated
This is an uncensored version of [Qwen/Qwen3.5-0.8B](https://huggingface.co/Qwen/Qwen3.5-0.8B) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
This is a crude, proof-o... | [] |
Qwen/Qwen3-32B | Qwen | 2025-07-26T03:45:22Z | 4,175,452 | 672 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-04-27T03:52:59Z | # Qwen3-32B
<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Qwen3 Highlights
Qwen3 is the latest generation of large language mode... | [] |
tdc/scGPT | tdc | 2025-04-10T16:20:58Z | 716 | 16 | transformers | [
"transformers",
"safetensors",
"scgpt",
"single-cell",
"biology",
"base_model:apliko/scGPT",
"base_model:finetune:apliko/scGPT",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-07-21T04:58:11Z | # scGPT
scGPT is A foundation model for single-cell biology based on a generative pre trained transformer across a repository of over 33 million cells.
# Abstract
Generative pretrained models have achieved remarkable success in various domains such as language and computer vision. Specifically, the combination of larg... | [] |
mradermacher/GLM-4.5V-i1-GGUF | mradermacher | 2025-12-23T07:42:51Z | 11,473 | 1 | transformers | [
"transformers",
"gguf",
"zh",
"en",
"base_model:zai-org/GLM-4.5V",
"base_model:quantized:zai-org/GLM-4.5V",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-23T01:04:08Z | ## 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": 608,
"end": 624,
"text": "GLM-4.5V-i1-GGUF",
"label": "benchmark name",
"score": 0.685122549533844
}
] |
wangzhang/gemma-4-31B-it-abliterated | wangzhang | 2026-04-29T05:05:48Z | 4,611 | 17 | null | [
"safetensors",
"gemma4",
"abliterated",
"uncensored",
"direct-weight-editing",
"abliterix",
"vllm",
"llm-judge",
"base_model:google/gemma-4-31B-it",
"base_model:finetune:google/gemma-4-31B-it",
"license:gemma",
"region:us"
] | null | 2026-04-05T08:31:38Z | # Gemma 4 31B IT — Abliterated
This is an abliterated version of [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it), created using [Abliterix](https://github.com/wuwangzhang1216/abliterix).
This revision updates the model to **trial 40**, the best configuration from the completed 60-trial Gemma 4 3... | [] |
loay/English-Document-OCR-Qwen3.5-2B | loay | 2026-04-14T04:35:17Z | 244 | 1 | null | [
"gguf",
"ocr",
"vision-language-model",
"document-understanding",
"qwen3",
"qwen3.5",
"lora",
"english",
"archival",
"text-extraction",
"merged",
"image-text-to-text",
"en",
"base_model:Qwen/Qwen3.5-2B",
"base_model:adapter:Qwen/Qwen3.5-2B",
"license:cc-by-nc-sa-4.0",
"endpoints_comp... | image-text-to-text | 2026-03-10T03:53:37Z | # English-Document-OCR-Qwen3.5-2B
I built this model as part of my ongoing work in document digitization and archival OCR. My goal was to create a small, locally-runnable model that punches above its weight class, and I'm happy to say it does: despite being only 2B parameters, it outperforms several larger frontier mo... | [] |
internlm/internlm2_5-20b-chat | internlm | 2025-03-13T07:04:47Z | 835 | 94 | transformers | [
"transformers",
"safetensors",
"internlm2",
"feature-extraction",
"text-generation",
"conversational",
"custom_code",
"arxiv:2403.17297",
"license:other",
"region:us"
] | text-generation | 2024-07-30T11:57:15Z | # InternLM
<div align="center">
<img src="https://github.com/InternLM/InternLM/assets/22529082/b9788105-8892-4398-8b47-b513a292378e" width="200"/>
<div> </div>
<div align="center">
<b><font size="5">InternLM</font></b>
<sup>
<a href="https://internlm.intern-ai.org.cn/">
<i><font size="... | [] |
ZERO-POINT-INTELLIGENCE-LTD/MARTHA-2B-Qwen3.5-Omni | ZERO-POINT-INTELLIGENCE-LTD | 2026-03-24T20:01:11Z | 694 | 5 | null | [
"gguf",
"qwen",
"qwen3_5",
"ghost-pass",
"zero-point-intelligence-ltd",
"martha",
"vision",
"edge",
"conversational",
"GGUF",
"image-text-to-text",
"en",
"base_model:Qwen/Qwen3.5-2B",
"base_model:quantized:Qwen/Qwen3.5-2B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-13T04:33:15Z | # MARTHA-2B-Qwen3.5-Omni (Official Core Release)
**Developer:** Zero Point Intelligence Ltd, Scotland
**Model Family:** MARTHA Core
**Architecture:** 2B parameter vision-language (image-text-to-text) model
**License:** Apache 2.0
---
## System Prompt
```
You are Martha, a 2B parameter AI with full vision and langua... | [] |
unsloth/Qwen3-VL-32B-Thinking-GGUF | unsloth | 2026-01-01T20:26:53Z | 2,230 | 21 | transformers | [
"transformers",
"gguf",
"unsloth",
"image-text-to-text",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-32B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-32B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"i... | image-text-to-text | 2025-10-30T22:48:00Z | > [!NOTE]
> Includes Unsloth **chat template fixes**!
>
<div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See our <a href="https://huggingface.co/collections/unsloth/qwen3-vl">Qwen3-VL collection</a> for all versions including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">... | [
{
"start": 182,
"end": 190,
"text": "qwen3-vl",
"label": "benchmark name",
"score": 0.7064756155014038
},
{
"start": 192,
"end": 200,
"text": "Qwen3-VL",
"label": "benchmark name",
"score": 0.8005810379981995
},
{
"start": 243,
"end": 247,
"text": "GGUF",
... |
mradermacher/Gemma-3-27b-it-vl-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking-GGUF | mradermacher | 2026-02-27T08:46:02Z | 1,696 | 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",
... | null | 2026-02-26T11:19:46Z | ## 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/Nekolyne-i1-GGUF | mradermacher | 2026-03-19T20:28:56Z | 406 | 1 | transformers | [
"transformers",
"gguf",
"generated_from_trainer",
"fr",
"dataset:Clemylia/Charlotte-nekolien-SLM",
"base_model:RAANA-IA/Nekolyne",
"base_model:quantized:RAANA-IA/Nekolyne",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-26T07:41:52Z | ## 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": 609,
"end": 625,
"text": "Nekolyne-i1-GGUF",
"label": "benchmark name",
"score": 0.7315649390220642
},
{
"start": 1173,
"end": 1189,
"text": "Nekolyne-i1-GGUF",
"label": "benchmark name",
"score": 0.6740904450416565
},
{
"start": 1335,
"end": 1351,
... |
mradermacher/Thyme-RL-i1-GGUF | mradermacher | 2025-12-16T03:03:55Z | 215 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:Kwai-Keye/Thyme-SFT",
"dataset:Kwai-Keye/Thyme-RL",
"base_model:Kwai-Keye/Thyme-RL",
"base_model:quantized:Kwai-Keye/Thyme-RL",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-19T03:18:12Z | ## 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_K... | [
{
"start": 609,
"end": 625,
"text": "Thyme-RL-i1-GGUF",
"label": "benchmark name",
"score": 0.7383927702903748
},
{
"start": 699,
"end": 712,
"text": "Thyme-RL-GGUF",
"label": "benchmark name",
"score": 0.6505838632583618
},
{
"start": 834,
"end": 847,
"te... |
Qwen/Qwen3-VL-Embedding-8B | Qwen | 2026-04-16T08:55:18Z | 924,910 | 384 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"transformers",
"multimodal embedding",
"qwen",
"embedding",
"sentence-similarity",
"arxiv:2601.04720",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-8B-Instruct",
"license:apache-2.0",
"... | sentence-similarity | 2026-01-07T03:02:55Z | # Qwen3-VL-Embedding-8B
<p align="center">
<img src="https://model-demo.oss-cn-hangzhou.aliyuncs.com/Qwen3-VL-Embedding.png" width="400"/>
<p>
## Highlights
The **Qwen3-VL-Embedding** and **Qwen3-VL-Reranker** model series are the latest additions to the Qwen family, built upon the recently open-sourced and powe... | [] |
smthem/BitDance-14B-64x-merge-gguf | smthem | 2026-02-26T00:22:03Z | 462 | 1 | null | [
"gguf",
"license:mit",
"region:us"
] | null | 2026-02-24T00:04:33Z | ---
license: mit
---
# Example
gguf load example...
Q8 need 24G Vram
```
from transformers import AutoTokenizer, Qwen3ForCausalLM, Qwen3Config
from accelerate import init_empty_weights
from diffusers import GGUFQuantizationConfig
from diffusers.quantizers.gguf import GGUFQuantizer
from diffusers... | [] |
jheuschkel/SynCodonLM-V2 | jheuschkel | 2026-03-12T14:45:52Z | 152 | 2 | null | [
"safetensors",
"deberta-v2",
"codon",
"Codon",
"biology",
"synthetic",
"dna",
"mrna",
"optimization",
"codon-optimization",
"codon-embedding",
"codon-representation",
"codon-language-model",
"codon-language",
"fill-mask",
"en",
"dataset:jheuschkel/clustered-cds-dataset",
"license:a... | fill-mask | 2026-01-15T19:34:06Z | # Model Card for SynCodonLM
- This repository contains code to utilize the model, and reproduce results of the paper [**Advancing Codon Language Modeling with Synonymous Codon Constrained Masking**](https://doi.org/10.1093/nar/gkag166).
- Unlike other Codon Language Models, SynCodonLM was trained with logit-level co... | [] |
jsonMartin/voyage-4-nano-gguf | jsonMartin | 2026-02-02T04:56:52Z | 253 | 1 | null | [
"gguf",
"embeddings",
"sentence-similarity",
"llama.cpp",
"base_model:voyageai/voyage-4-nano",
"base_model:quantized:voyageai/voyage-4-nano",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | sentence-similarity | 2026-01-30T04:33:00Z | # Voyage-4-nano GGUF
GGUF conversions of [VoyageAI's voyage-4-nano](https://huggingface.co/voyageai/voyage-4-nano) embedding model for use with llama.cpp.
## Files
| File | Size | Description |
|------|------|-------------|
| `voyage-4-nano-f16.gguf` | 695 MB | Full precision (FP16) |
| `voyage-4-nano-q8_0.gguf` | 3... | [] |
bartowski/Alibaba-NLP_Tongyi-DeepResearch-30B-A3B-GGUF | bartowski | 2025-09-17T03:09:03Z | 1,128 | 20 | null | [
"gguf",
"text-generation",
"base_model:Alibaba-NLP/Tongyi-DeepResearch-30B-A3B",
"base_model:quantized:Alibaba-NLP/Tongyi-DeepResearch-30B-A3B",
"region:us"
] | text-generation | 2025-09-17T00:19:24Z | ## Llamacpp imatrix Quantizations of Tongyi-DeepResearch-30B-A3B by Alibaba-NLP
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/b6490">b6490</a> for quantization.
Original model: https://huggingface.co/Alibaba-NLP/Tongyi-DeepRese... | [] |
tiantiaf/wavlm-large-broader-accent | tiantiaf | 2025-08-10T21:37:42Z | 1,035 | 2 | null | [
"safetensors",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"audio-classification",
"en",
"dataset:edinburghcstr/edacc",
"dataset:mozilla-foundation/common_voice_11_0",
"arxiv:2505.14648",
"base_model:microsoft/wavlm-large",
"base_model:finetune:microsoft/wavlm-large",
"license:openrail",
"re... | audio-classification | 2025-05-21T16:19:50Z | # WavLM-Large for Broader Accent Classification
# Model Description
This model includes the implementation of broader accent classification described in Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits (https://arxiv.org/pdf/2505.14648)
The included English accents... | [
{
"start": 154,
"end": 165,
"text": "Vox-Profile",
"label": "benchmark name",
"score": 0.7842077612876892
}
] |
xusenlin/uie-base | xusenlin | 2024-12-30T08:23:25Z | 428 | 30 | transformers | [
"transformers",
"pytorch",
"ernie",
"feature-extraction",
"infomation extraction",
"uie",
"custom_code",
"zh",
"arxiv:2203.12277",
"license:apache-2.0",
"region:us"
] | feature-extraction | 2022-12-07T09:11:24Z | # UIE信息抽取模型（Pytorch）
## 模型介绍
+ [UIE(Universal Information Extraction)](https://arxiv.org/pdf/2203.12277.pdf)：Yaojie Lu等人在ACL-2022中提出了通用信息抽取统一框架 `UIE`。
+ 该框架实现了实体抽取、关系抽取、事件抽取、情感分析等任务的统一建模，并使得不同任务间具备良好的迁移和泛化能力。
+ 为了方便大家使用 `UIE` 的强大能力，[PaddleNLP](https://github.com/PaddlePaddle/PaddleNLP)借鉴该论文的方法，基于 `ERNIE 3.0` 知识增强预训... | [] |
bartowski/Dolphin3.0-Llama3.2-3B-GGUF | bartowski | 2025-01-05T18:02:17Z | 6,570 | 28 | null | [
"gguf",
"text-generation",
"en",
"dataset:OpenCoder-LLM/opc-sft-stage1",
"dataset:OpenCoder-LLM/opc-sft-stage2",
"dataset:microsoft/orca-agentinstruct-1M-v1",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:NousResearch/hermes-function-calling-v1",
"dataset:AI-MO/NuminaMath-CoT",
"datas... | text-generation | 2025-01-05T17:42:36Z | ## Llamacpp imatrix Quantizations of Dolphin3.0-Llama3.2-3B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4418">b4418</a> for quantization.
Original model: https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-3B
... | [] |
inferencerlabs/Devstral-Small-2-24B-Instruct-2512-MLX-6.5bit | inferencerlabs | 2026-01-30T06:04:09Z | 249 | 1 | mlx | [
"mlx",
"safetensors",
"mistral3",
"quantized",
"text-generation",
"conversational",
"en",
"base_model:mistralai/Devstral-Small-2-24B-Instruct-2512",
"base_model:quantized:mistralai/Devstral-Small-2-24B-Instruct-2512",
"6-bit",
"region:us"
] | text-generation | 2025-12-10T19:56:25Z | **See Devstral-Small-2-24B-Instruct-2512 MLX in action - [demonstration video](https://youtu.be/HwPZxJVI73A)**
*q6.5bit mixed quant typically achieves 1.128 perplexity in our testing*
| Quantization | Perplexity |
|:------------:|:----------:|
| **q2.5** | 41.293 |
| **q3.5** | 1.900 |
| **q4.5** ... | [] |
bartowski/TheDrummer_Skyfall-31B-v4.1-GGUF | bartowski | 2026-01-21T07:19:02Z | 7,057 | 6 | null | [
"gguf",
"text-generation",
"base_model:TheDrummer/Skyfall-31B-v4.1",
"base_model:quantized:TheDrummer/Skyfall-31B-v4.1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-01-21T05:07:57Z | ## Llamacpp imatrix Quantizations of Skyfall-31B-v4.1 by TheDrummer
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/b7779">b7779</a> for quantization.
Original model: https://huggingface.co/TheDrummer/Skyfall-31B-v4.1
All quants... | [] |
bartowski/Cydonia-22B-v1-GGUF | bartowski | 2024-09-18T15:52:15Z | 602 | 15 | null | [
"gguf",
"text-generation",
"base_model:TheDrummer/Cydonia-22B-v1",
"base_model:quantized:TheDrummer/Cydonia-22B-v1",
"license:other",
"region:us"
] | text-generation | 2024-09-18T14:48:21Z | ## Llamacpp imatrix Quantizations of Cydonia-22B-v1
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3772">b3772</a> for quantization.
Original model: https://huggingface.co/TheDrummer/Cydonia-22B-v1
All quants made using imat... | [] |
mradermacher/ROUGE-7B-GGUF | mradermacher | 2026-02-05T21:19:22Z | 103 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:tp140205/ROUGE-7B",
"base_model:quantized:tp140205/ROUGE-7B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-05T12:15:19Z | ## 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": 519,
"text": "ROUGE-7B-GGUF",
"label": "benchmark name",
"score": 0.6618446111679077
},
{
"start": 1129,
"end": 1133,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6340603232383728
}
] |
onnx-community/Supertonic-TTS-ONNX | onnx-community | 2026-01-20T18:14:58Z | 1,243 | 11 | transformers.js | [
"transformers.js",
"onnx",
"supertonic",
"text-to-speech",
"en",
"base_model:Supertone/supertonic",
"base_model:quantized:Supertone/supertonic",
"license:openrail",
"region:us"
] | text-to-speech | 2025-11-18T23:23:48Z | ## Usage
### Transformers.js
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
```bash
npm i @huggingface/transformers
```
You can then generate audio as follows:
```... | [] |
m-a-p/MERT-v1-95M | m-a-p | 2025-05-25T05:03:07Z | 134,662 | 47 | transformers | [
"transformers",
"pytorch",
"mert_model",
"feature-extraction",
"music",
"audio-classification",
"custom_code",
"arxiv:2306.00107",
"license:cc-by-nc-4.0",
"region:us"
] | audio-classification | 2023-03-17T10:57:16Z | # Introduction to our series work
The development log of our Music Audio Pre-training (m-a-p) model family:
- 02/06/2023: [arxiv pre-print](https://arxiv.org/abs/2306.00107) and training [codes](https://github.com/yizhilll/MERT) released.
- 17/03/2023: we release two advanced music understanding models, [MERT-v1-95M](... | [
{
"start": 1217,
"end": 1228,
"text": "Sample Rate",
"label": "evaluation metric",
"score": 0.7660178542137146
}
] |
omlab/opentrackvla-qwen06b | omlab | 2026-04-13T14:08:01Z | 180 | 3 | transformers | [
"transformers",
"pytorch",
"safetensors",
"navfom",
"robotics",
"navigation",
"embodied-ai",
"waypoint-prediction",
"qwen",
"other",
"en",
"arxiv:2509.12129",
"license:mit",
"endpoints_compatible",
"region:us"
] | other | 2025-12-08T06:25:35Z | # OpenTrackVLA 🤖 👀
**Visual Navigation & Following for Everyone.**
[](https://opensource.org/licenses/Apache-2.0) [](https://www.google.com/search?q=) [](https://www.google.com/search?q=) [](https://arxiv.org/abs/2509.12129)
**OpenTrackVLA** is a fully open-source Vision-Language-Action (VLA) stack that turns **mo... | [] |
majentik/gemma-4-31B-it-TurboQuant-MLX-8bit | majentik | 2026-04-17T01:22:27Z | 468 | 2 | mlx | [
"mlx",
"safetensors",
"gemma4",
"turboquant",
"kv-cache-quantization",
"gemma",
"multimodal",
"quantized",
"8bit",
"image-text-to-text",
"conversational",
"en",
"arxiv:2504.19874",
"base_model:google/gemma-4-31B-it",
"base_model:quantized:google/gemma-4-31B-it",
"license:apache-2.0",
... | image-text-to-text | 2026-04-13T10:04:36Z | # Gemma 4 31B-it - TurboQuant MLX 8-bit
**8-bit weight-quantized MLX version** of [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it) with TurboQuant KV-cache quantization. Optimized for Apple Silicon inference via the [MLX](https://github.com/ml-explore/mlx) framework.
Approximate model size: **~31... | [] |
mradermacher/Qwen3-8B-heretic-GGUF | mradermacher | 2025-11-18T00:40:44Z | 1,885 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:georgehenney/Qwen3-8B-heretic",
"base_model:quantized:georgehenney/Qwen3-8B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-18T00:10:24Z | ## 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": 518,
"end": 539,
"text": "Qwen3-8B-heretic-GGUF",
"label": "benchmark name",
"score": 0.6112249493598938
},
{
"start": 1173,
"end": 1177,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6300882697105408
}
] |
FastFlowLM/Translategemma-4B-Instruct-NPU2 | FastFlowLM | 2026-02-18T19:19:29Z | 182 | 1 | transformers | [
"transformers",
"gemma3_text",
"image-text-to-text",
"conversational",
"arxiv:2601.09012",
"arxiv:2503.19786",
"license:gemma",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-17T18:40:40Z | # TranslateGemma model card
**Resources and Technical Documentation**:
+ [Technical Report](https://arxiv.org/pdf/2601.09012)
+ [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
+ [TranslateGemma on Kaggle](https://www.kaggle.com/models/google/translategemma/)
+ [TranslateGemma on Vertex... | [] |
Skywork/Skywork-Reward-V2-Llama-3.2-1B | Skywork | 2025-07-06T18:15:54Z | 14,679 | 7 | transformers | [
"transformers",
"safetensors",
"llama",
"text-classification",
"arxiv:2507.01352",
"base_model:meta-llama/Llama-3.2-1B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-1B-Instruct",
"license:llama3.2",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-06-26T04:04:27Z | # Skywork-Reward-V2
<div align="center">
<img src="assets/skywork_logo.png" width="60%" alt="Skywork-Reward-V2"/>
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="https://arxiv.org/abs/2507.01352" target="_blank">
<img alt="Paper" src="https://img.shields.io/badge/📖_Paper-Skywork--Reward--V2-... | [] |
txn545/Qwen3.5-35B-A3B-NVFP4 | txn545 | 2026-03-01T16:05:18Z | 26,126 | 4 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"qwen3_5_moe",
"ModelOpt",
"Qwen3.5",
"quantized",
"FP4",
"fp4",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"modelopt",
"region:us"
] | text-generation | 2026-02-24T19:33:57Z | # Model Overview
## Description:
The **txn545/Qwen3.5-35B-A3B-NVFP4** model is a quantized version of Alibaba's Qwen3.5-35B-A3B model, an auto-regressive language model that uses an optimized transformer architecture. For more information on the base model, please check [here](https://huggingface.co/Qwen/Qwen3.5-35B-A... | [] |
bharatgenai/sooktam2 | bharatgenai | 2026-03-16T09:04:17Z | 1,360 | 25 | transformers | [
"transformers",
"f5_tts",
"text-to-speech",
"tts",
"multilingual",
"indic",
"f5-tts",
"sooktam2",
"custom_code",
"en",
"hi",
"mr",
"gu",
"ta",
"te",
"kn",
"bn",
"ml",
"or",
"ur",
"pa",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2026-02-24T08:58:57Z | <p align="center">
<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/67b462a1f4f414c2b3e2bc2f/EnVeNWEIeZ6yF6ueZ7E3Y.jpeg" width="140" alt="BharatGen Logo"/>
</p>
<h1 align="center">Sooktam-2 🇮🇳</h1>
<p align="center"><em>"विविधता में ही भारत की शक्ति है, और हर भाषा उस शक्ति की आवाज़ है।"</em></p>
... | [] |
Paulwalker4884/whisper-persian | Paulwalker4884 | 2025-09-04T07:27:16Z | 203 | 1 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"speech",
"persian",
"farsi",
"speech-to-text",
"audio",
"peft",
"lora",
"fa",
"dataset:mozilla-foundation/common_voice_13_0",
"base_model:openai/whisper-base",
"base_model:adapter:openai/whisper-base",
"license:... | automatic-speech-recognition | 2025-09-04T06:46:30Z | # Whisper Persian Fine-tuned Model
A fine-tuned Whisper model optimized for Persian (Farsi) speech-to-text conversion using LoRA (Low-Rank Adaptation) technique. This model provides real-time speech recognition capabilities for Persian language with high accuracy.
## Model Details
### Model Description
This model i... | [] |
WithinUsAI/GPT2.5.2-high-reasoning-codex-0.4B-GGUF | WithinUsAI | 2026-03-08T09:07:01Z | 139 | 2 | 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.... | [
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mradermacher/Qwen3-4B-Agent-Claude-Gemini-GGUF | mradermacher | 2026-02-08T17:00:10Z | 164 | 2 | transformers | [
"transformers",
"gguf",
"coding",
"research",
"deep thinking",
"128k context",
"Qwen3",
"All use cases",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fict... | null | 2026-02-08T16:32:53Z | ## 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... | [
{
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"end": 561,
"text": "Qwen3-4B-Agent-Claude-Gemini-GGUF",
"label": "benchmark name",
"score": 0.6941903829574585
},
{
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"end": 681,
"text": "Qwen3-4B-Agent-Claude-Gemini-i1-GGUF",
"label": "benchmark name",
"score": 0.642290472984314
},
{
... |
Arrexel/pattern-diffusion | Arrexel | 2025-08-08T19:27:14Z | 115 | 110 | diffusers | [
"diffusers",
"safetensors",
"license:apache-2.0",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"deploy:azure",
"region:us"
] | text-to-image | 2025-08-08T15:06:52Z | 
# Model Description
- Developed by: [Alex Reid](https://www.linkedin.com/in/alex-reid-673001112/)
- Model type: Diffusion-based text-to-image generative model
- License: Apache 2.0
- Model Description: A foundational diffusi... | [
{
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"end": 1268,
"text": "FID",
"label": "evaluation metric",
"score": 0.7071217894554138
},
{
"start": 1273,
"end": 1284,
"text": "CLIP scores",
"label": "evaluation metric",
"score": 0.8067065477371216
}
] |
ytu-ce-cosmos/modernbert-tr-base-1k | ytu-ce-cosmos | 2026-04-04T15:15:53Z | 2,409 | 2 | transformers | [
"transformers",
"safetensors",
"modernbert",
"fill-mask",
"turkish",
"encoder",
"masked-language-modeling",
"nlp",
"tr",
"dataset:HuggingFaceFW/fineweb-2",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | fill-mask | 2026-02-22T12:47:17Z | <div text-align="center" align="center">
<img src="modernbert-banner.jpg" alt="ModernBERT-TR" width="100%">
# ModernBERT-TR
**A Modern Encoder Foundation Model for Turkish**
Besher Alkurdi, Himmet Toprak Kesgin, Muzaffer Kaan Yuce, Mehmet Fatih Amasyali
[Web Page](https://cosmos-ytu.github.io/modernbert-tr-1k/) ·... | [
{
"start": 970,
"end": 973,
"text": "Avg",
"label": "evaluation metric",
"score": 0.8861503005027771
},
{
"start": 1317,
"end": 1320,
"text": "Avg",
"label": "evaluation metric",
"score": 0.8982182145118713
}
] |
vngrs-ai/Kumru-2B | vngrs-ai | 2025-09-26T07:29:52Z | 1,146 | 114 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"tr",
"dataset:vngrs-ai/vngrs-web-corpus",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-09-23T17:32:56Z | ## Model Information
<img src="https://cdn-uploads.huggingface.co/production/uploads/6147363543eb04c443cd4e39/1X8noMmS6Mlvj4BalQkuZ.png" alt="preview" width="600"/>
Kumru-2B is the lightweight, open-source version of Kumru LLM, developed for Turkish from scratch by VNGRS.
- It is pre-trained on a cleaned, deduplicate... | [] |
tiantiaf/whisper-large-v3-broad-accent | tiantiaf | 2025-08-10T21:38:02Z | 3,933 | 1 | null | [
"safetensors",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"audio-classification",
"en",
"dataset:mozilla-foundation/common_voice_11_0",
"arxiv:2505.14648",
"base_model:openai/whisper-large-v3",
"base_model:finetune:openai/whisper-large-v3",
"license:openrail",
"region:us"
] | audio-classification | 2025-05-22T02:28:05Z | # Whisper-Large for Broad Accent Classification
# Model Description
This model includes the implementation of broader accent classification described in Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits (https://arxiv.org/pdf/2505.14648)
The included English accents... | [
{
"start": 154,
"end": 165,
"text": "Vox-Profile",
"label": "benchmark name",
"score": 0.8053842186927795
},
{
"start": 1443,
"end": 1459,
"text": "max_audio_length",
"label": "evaluation metric",
"score": 0.6369654536247253
}
] |
lmstudio-community/GLM-4.7-Flash-MLX-8bit | lmstudio-community | 2026-01-22T16:52:46Z | 375,116 | 11 | transformers | [
"transformers",
"safetensors",
"glm4_moe_lite",
"text-generation",
"mlx",
"conversational",
"en",
"zh",
"base_model:zai-org/GLM-4.7-Flash",
"base_model:quantized:zai-org/GLM-4.7-Flash",
"license:mit",
"endpoints_compatible",
"8-bit",
"region:us"
] | text-generation | 2026-01-19T16:45:24Z | ## 💫 Community Model> GLM-4.7-Flash by zai-org
_👾 [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**: [zai-org](https://huggingface.co/zai-org)<br>
**Origin... | [] |
bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF | bartowski | 2025-08-12T17:49:19Z | 386 | 5 | null | [
"gguf",
"text-generation",
"base_model:TheDrummer/Gemma-3-R1-12B-v1",
"base_model:quantized:TheDrummer/Gemma-3-R1-12B-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-12T16:43:38Z | ## Llamacpp imatrix Quantizations of Gemma-3-R1-12B-v1 by TheDrummer
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b6139">b6139</a> for quantization.
Original model: https://huggingface.co/TheDrummer/Gemma-3-R1-12B-v1
All qu... | [] |
MBZUAI-Paris/Atlas-Chat-9B | MBZUAI-Paris | 2024-10-24T13:47:08Z | 538 | 29 | transformers | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"conversational",
"ar",
"ary",
"dataset:MBZUAI-Paris/Darija-SFT-Mixture",
"arxiv:2308.16149",
"arxiv:2409.17912",
"base_model:google/gemma-2-9b-it",
"base_model:finetune:google/gemma-2-9b-it",
"license:gemma",
"text-generation-inf... | text-generation | 2024-09-13T08:46:50Z | # JAIS Intiative: Atlas-Chat Models
## Model Overview
Atlas-Chat is a family of open models instruction-tuned for Darija, the colloquial Arabic of Morocco, developed as part of the [Jais](https://arxiv.org/abs/2308.16149) project for standard Arabic and its extentions to dialectal Arabic. These models are designed f... | [] |
tencent/SongGeneration | tencent | 2026-03-02T09:12:12Z | 463 | 319 | tencent-song-generation | [
"tencent-song-generation",
"text-to-audio",
"en",
"zh",
"arxiv:2506.07520",
"region:us"
] | text-to-audio | 2025-06-04T03:03:04Z | # SongGeneration
<p align="center"><img src="img/logo.jpg" width="40%"></p>
<p align="center">
<a href="https://levo-demo.github.io/">Demo</a> | <a href="https://arxiv.org/abs/2506.07520">Paper</a> | <a href="https://github.com/tencent-ailab/songgeneration">Code</a> | <a href=... | [] |
omdeep22/Gonyai-v1 | omdeep22 | 2026-03-02T13:34:12Z | 535 | 2 | transformers | [
"transformers",
"pytorch",
"konkangpt",
"text-generation",
"konkani",
"custom-architecture",
"gonyai",
"conversational",
"custom_code",
"gom",
"license:mit",
"region:us"
] | text-generation | 2026-01-27T13:30:40Z | # Gonyai-v1: A Poetic Konkani Language Model
Gonyai-v1 is a **160M parameter** transformer model specifically designed for Konkani text generation. It features a custom architecture (`KonkanGPT`) utilizing Rotary Positional Embeddings (RoPE), RMSNorm, and SwiGLU activation functions.
Unlike general-purpose models, G... | [
{
"start": 2,
"end": 11,
"text": "Gonyai-v1",
"label": "benchmark name",
"score": 0.912828266620636
},
{
"start": 46,
"end": 55,
"text": "Gonyai-v1",
"label": "benchmark name",
"score": 0.893109142780304
},
{
"start": 319,
"end": 328,
"text": "Gonyai-v1",
... |
knowledgator/modern-gliner-bi-large-v1.0 | knowledgator | 2025-02-26T07:21:32Z | 177 | 64 | gliner | [
"gliner",
"pytorch",
"NER",
"GLiNER",
"information extraction",
"encoder",
"entity recognition",
"modernbert",
"token-classification",
"en",
"dataset:urchade/pile-mistral-v0.1",
"dataset:numind/NuNER",
"dataset:knowledgator/GLINER-multi-task-synthetic-data",
"arxiv:2412.13663",
"arxiv:23... | token-classification | 2024-12-24T14:00:22Z | # About
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoders (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibili... | [] |
cointegrated/SONAR_200_text_encoder | cointegrated | 2024-11-08T16:27:21Z | 6,639 | 11 | transformers | [
"transformers",
"pytorch",
"safetensors",
"m2m_100",
"sentence-similarity",
"ace",
"acm",
"acq",
"aeb",
"af",
"ajp",
"ak",
"am",
"apc",
"ar",
"ars",
"ary",
"arz",
"as",
"ast",
"awa",
"ay",
"azb",
"azj",
"ba",
"bm",
"ban",
"be",
"bem",
"bn",
"bho",
"bjn",... | sentence-similarity | 2023-10-24T21:21:44Z | This is a port of the multilingual SONAR text encoder (https://huggingface.co/facebook/SONAR) to the `transformers` format from `fairseq2`.
Its embeddings are expected be equal to those the official implementation (https://github.com/facebookresearch/SONAR), but the latter stays the source of truth.
The encoder suppo... | [] |
mradermacher/Spatial-SSRL-7B-i1-GGUF | mradermacher | 2025-12-08T05:30:20Z | 293 | 3 | transformers | [
"transformers",
"gguf",
"multimodal",
"spatial",
"sptial understanding",
"self-supervised learning",
"en",
"dataset:internlm/Spatial-SSRL-81k",
"base_model:internlm/Spatial-SSRL-7B",
"base_model:quantized:internlm/Spatial-SSRL-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
... | null | 2025-11-03T22:13:30Z | ## 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": 616,
"end": 639,
"text": "Spatial-SSRL-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.7624226212501526
},
{
"start": 713,
"end": 733,
"text": "Spatial-SSRL-7B-GGUF",
"label": "benchmark name",
"score": 0.6435443162918091
},
{
"start": 855,
"end"... |
ArmurAI/Pentest_AI | ArmurAI | 2024-04-17T07:44:46Z | 633 | 39 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"conversational",
"en",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"text-generation-inferenc... | text-generation | 2024-04-17T07:24:59Z | # Pentest AI
PentestAI is an innovative assistant for penetration testing, we used the `OpenHermes-2.5-Mistral-7B` model, we jailbroke it, finetuned it with commands for popular Kali Linux tools and it's now able to provide guided, actionable steps and command automation for performing deep pen tests.
The innovative P... | [] |
RedHatAI/Qwen3.6-35B-A3B-NVFP4 | RedHatAI | 2026-04-20T16:53:00Z | 124,366 | 59 | null | [
"safetensors",
"qwen3_5_moe",
"qwen",
"nvfp4",
"vllm",
"compressed-tensors",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:quantized:Qwen/Qwen3.6-35B-A3B",
"region:us"
] | null | 2026-04-17T00:40:00Z | # NVFP4 Quantized RedHatAI/Qwen3.6-35B-A3B-NVFP4
This is a preliminary version (and subject to change) of NVFP4 quantized [Qwen/Qwen3.6-35B-A3B ](https://huggingface.co/Qwen/Qwen3.6-35B-A3B ) model.
The model has both weights and activations quantized to NVFP4 format with [vllm-project/llm-compressor](https://github.... | [] |
OneThink/OneThinker-SFT-Qwen3-8B | OneThink | 2025-12-05T04:52:23Z | 463,188 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"any-to-any",
"dataset:OneThink/OneThinker-train-data",
"arxiv:2512.03043",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-8B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | any-to-any | 2025-12-01T10:17:23Z | # OneThinker: All-in-one Reasoning Model for Image and Video
This repository contains the **SFT model** presented in: [OneThinker: All-in-one Reasoning Model for Image and Video](https://arxiv.org/pdf/2512.03043)
This is an intermediate model prepared for subsequent RL training.
For more detailed instructions on e... | [] |
mradermacher/Qwen3.5-9B-Unredacted-MAX-i1-GGUF | mradermacher | 2026-03-11T03:10:18Z | 8,537 | 3 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"pytorch",
"bf16",
"max",
"alignment-modified",
"reasoning",
"en",
"base_model:prithivMLmods/Qwen3.5-9B-Unredacted-MAX",
"base_model:quantized:prit... | null | 2026-03-10T09:26:56Z | ## 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": 469,
"end": 494,
"text": "Qwen3.5-9B-Unredacted-MAX",
"label": "benchmark name",
"score": 0.6545649170875549
},
{
"start": 631,
"end": 664,
"text": "Qwen3.5-9B-Unredacted-MAX-i1-GGUF",
"label": "benchmark name",
"score": 0.7712167501449585
},
{
"start":... |
OvermindLab/nerpa | OvermindLab | 2026-02-18T11:28:44Z | 104 | 3 | gliner2 | [
"gliner2",
"safetensors",
"extractor",
"named-entity-recognition",
"ner",
"pii",
"anonymisation",
"gliner",
"token-classification",
"privacy",
"en",
"dataset:synthetic",
"arxiv:2507.18546",
"base_model:fastino/gliner2-large-v1",
"base_model:finetune:fastino/gliner2-large-v1",
"license:... | token-classification | 2026-02-11T14:49:14Z | # NERPA - Fine-Tuned GLiNER2 for PII Anonymisation
A fine-tuned [GLiNER2 Large](https://huggingface.co/fastino/gliner2-large-v1) (340M params) model trained to detect Personally Identifiable Information (PII) in text. Built as a flexible, self-hosted replacement for AWS Comprehend at [Overmind](https://overmindlab.ai)... | [] |
NexaAI/Qwen2-Audio-7B-GGUF | NexaAI | 2024-11-25T17:58:01Z | 5,233 | 170 | null | [
"gguf",
"audio-text-to-text",
"chat",
"audio",
"GGUF",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | audio-text-to-text | 2024-10-23T22:26:23Z | # Qwen2-Audio
<img src="https://cdn-uploads.huggingface.co/production/uploads/6618e0424dbef6bd3c72f89a/ThcKJj7LcWCZPwN1So05f.png" alt="Example" style="width:700px;"/>
## We're bringing Qwen2-Audio to run locally on edge devices with Nexa-SDK, offering various GGUF quantization options.
Qwen2-Audio is a SOTA small-sc... | [] |
GenMedLabs/xtts-gguf | GenMedLabs | 2025-09-23T20:04:27Z | 263 | 3 | null | [
"gguf",
"text-to-speech",
"tts",
"xtts",
"quantized",
"mobile",
"embedded",
"cpp",
"en",
"es",
"fr",
"de",
"it",
"pt",
"pl",
"tr",
"ru",
"nl",
"cs",
"ar",
"zh",
"ja",
"ko",
"hu",
"hi",
"license:apache-2.0",
"region:us"
] | text-to-speech | 2025-09-23T19:56:10Z | # XTTS v2 GGUF - Memory-Efficient TTS for Mobile
🚀 **EXPERIMENTAL**: GGUF format XTTS v2 with C++ inference engine for ultra-low memory usage on mobile devices.
> ⚠️ **NOTE**: This is a proof-of-concept. GGUF files require the included C++ inference engine to run.
## 🎯 Key Features
- **Memory-Mapped Loading**: On... | [] |
mradermacher/Qwen2.5-14B-Instruct-1M-i1-GGUF | mradermacher | 2025-01-27T10:34:15Z | 325 | 6 | transformers | [
"transformers",
"gguf",
"chat",
"en",
"base_model:Qwen/Qwen2.5-14B-Instruct-1M",
"base_model:quantized:Qwen/Qwen2.5-14B-Instruct-1M",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-01-27T08:53:26Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M
<!-- provided-files -->
static quants are available at https://huggingfac... | [] |
mradermacher/Qwen2.5-7B-Instruct-Uncensored-GGUF | mradermacher | 2025-04-28T12:12:33Z | 3,196 | 38 | transformers | [
"transformers",
"gguf",
"qwen",
"uncensored",
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara",
"dataset:NobodyExistsOnTheInternet/ToxicQAFinal",
"dataset:anthracite-org/kalo-opus-instruct-22k-no-refusal",
"dataset:Orion-zhen/dpo-toxic-z... | null | 2024-10-11T18:14:11Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
<!-- provided-files -->
weighted/imatrix quants are available at https://huggi... | [] |
mradermacher/Qwen2.5-VL-7B-Instruct-heretic-GGUF | mradermacher | 2026-01-18T07:39:04Z | 385 | 1 | transformers | [
"transformers",
"gguf",
"multimodal",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:coder3101/Qwen2.5-VL-7B-Instruct-heretic",
"base_model:quantized:coder3101/Qwen2.5-VL-7B-Instruct-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversation... | null | 2026-01-18T06:11:41Z | ## 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... | [] |
RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf | RichardErkhov | 2025-03-15T07:44:11Z | 285 | 1 | null | [
"gguf",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-03-15T07:24:35Z | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
DeepSeek-V3-1B-Test - GGUF
- Model creator: https://huggingface.co/v2ray/
- Original model: https://huggingface.co/v2ray/Dee... | [
{
"start": 196,
"end": 215,
"text": "DeepSeek-V3-1B-Test",
"label": "benchmark name",
"score": 0.8230703473091125
},
{
"start": 317,
"end": 336,
"text": "DeepSeek-V3-1B-Test",
"label": "benchmark name",
"score": 0.8148133754730225
},
{
"start": 397,
"end": 416... |
nvidia/Nemotron-Flash-1B | nvidia | 2026-01-09T22:12:40Z | 1,385 | 28 | transformers | [
"transformers",
"safetensors",
"nemotron_flash",
"text-generation",
"custom_code",
"arxiv:2511.18890",
"license:other",
"region:us"
] | text-generation | 2025-11-06T17:36:39Z | # Nemotron-Flash-1B Base Model
<p align="center">
🗞️ <a href="https://arxiv.org/pdf/2511.18890">Paper</a>  |    🤗 <a href="https://huggingface.co/nvidia/Nemotron-Flash-1B">Nemotron-Flash-1B</a> |    🤗 <a href="https://huggingface.co/nvidia/Nemotron-Flash-3B">Nemotron-Flash-3B</a> |  &n... | [
{
"start": 771,
"end": 783,
"text": "NeurIPS 2025",
"label": "benchmark name",
"score": 0.8018529415130615
},
{
"start": 842,
"end": 855,
"text": "SOTA accuracy",
"label": "evaluation metric",
"score": 0.6855366826057434
}
] |
calcuis/wan-1.3b-gguf | calcuis | 2025-08-08T01:26:22Z | 5,147 | 37 | null | [
"gguf",
"gguf-node",
"gguf-connector",
"text-to-video",
"en",
"base_model:Wan-AI/Wan2.1-T2V-1.3B",
"base_model:quantized:Wan-AI/Wan2.1-T2V-1.3B",
"license:apache-2.0",
"region:us"
] | text-to-video | 2025-03-14T09:23:27Z | # **gguf quantized version of wan 1.3b models**
- run it straight with `gguf-connector`
- opt a `gguf` file in the current directory to interact with by:
```
ggc w2
```
>
>GGUF file(s) available. Select which one to use:
>
>1. wan2.1-t2v-1.3b-q4_0.gguf
>2. wan2.1-t2v-1.3b-q8_0.gguf
>3. wan2.1-vace-1.3b-q4_0.gguf
>4. wa... | [] |
pysentimiento/robertuito-emotion-analysis | pysentimiento | 2023-02-20T19:04:28Z | 117,512 | 19 | pysentimiento | [
"pysentimiento",
"pytorch",
"roberta",
"emotion-analysis",
"twitter",
"es",
"arxiv:2106.09462",
"region:us"
] | null | 2022-03-02T23:29:05Z | # Emotion Analysis in Spanish
## robertuito-emotion-analysis
Repository: [https://github.com/pysentimiento/pysentimiento/](https://github.com/finiteautomata/pysentimiento/)
Model trained with TASS 2020 Task 2 corpus for Emotion detection in Spanish. Base model is [RoBERTuito](https://github.com/pysentimiento/robert... | [
{
"start": 574,
"end": 589,
"text": "Macro F1 scores",
"label": "evaluation metric",
"score": 0.6238755583763123
}
] |
deepseek-ai/DeepSeek-V2.5 | deepseek-ai | 2024-12-11T12:08:06Z | 5,837 | 733 | transformers | [
"transformers",
"safetensors",
"deepseek_v2",
"text-generation",
"conversational",
"custom_code",
"arxiv:2405.04434",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-09-05T09:30:06Z | <!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V2" />
</div>
<hr>
<div align="center" style="line-... | [] |
anwgpt/anwgpt4-chat | anwgpt | 2026-03-25T18:12:36Z | 2,691 | 2 | transformers | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"conversational",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:tatsu-lab/alpaca",
"dataset:OpenAssistant/oasst1",
"dataset:databricks/databricks-dolly-15k",
"base_model:anwgpt/anwgpt4-base",
"base_model:finetune:a... | text-generation | 2026-01-11T19:03:43Z | # ANWGPT-4
## How do use the model
```py
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="anwgpt/anwgpt4-chat")
# Example of text generation (you can modify the input text but keep the format like this)
print(pipe("""
Human: How much is 1 + 1?
Assis... | [] |
mradermacher/Qwen3-VL-8B-Norwegian-GGUF | mradermacher | 2026-02-05T13:34:51Z | 162 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_vl",
"en",
"base_model:telvenes/Qwen3-VL-8B-Norwegian",
"base_model:quantized:telvenes/Qwen3-VL-8B-Norwegian",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-05T13:21:44Z | ## 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": 361,
"end": 382,
"text": "Qwen3-VL-8B-Norwegian",
"label": "benchmark name",
"score": 0.6657055020332336
},
{
"start": 519,
"end": 545,
"text": "Qwen3-VL-8B-Norwegian-GGUF",
"label": "benchmark name",
"score": 0.7093660831451416
},
{
"start": 1241,
... |
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