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 |
|---|---|---|---|---|---|---|---|---|---|---|
typhoon-ai/typhoon2.5-qwen3-4b | typhoon-ai | 2025-10-09T07:26:58Z | 3,265 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2412.13702",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-23T09:29:53Z | **Typhoon2.5-Qwen3-4B**: Thai Large Language Model (Instruct)
**Typhoon2.5-Qwen3-4B** is a instruct Thai 🇹🇭 large language model with 4 billion parameters, a 256k context length, and function-calling capabilities. It is based on Qwen3 4B.
## **Performance**
![4b model performance](https://cdn-uploads.huggingface.c... | [] |
TalTechNLP/whisper-large-v3-turbo-et-verbatim | TalTechNLP | 2026-04-29T10:52:57Z | 4,514 | 3 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"et",
"base_model:openai/whisper-large-v3-turbo",
"base_model:finetune:openai/whisper-large-v3-turbo",
"license:mit",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2025-09-15T07:48:25Z | ## NB!!
A new and more accurate similar model is available at https://huggingface.co/TalTechNLP/whisper-large-v3-turbo-et-verbatim-2604.
## Introduction
This model is OpenAI Whisper large-v3-turbo, finetuned on 1400 hours of audio with manually created verbatim transcriptions from the TalTech Estonian Speech Dataset... | [] |
mradermacher/Qwen3.5-9B-Claude-4.6-HighIQ-THINKING-GGUF | mradermacher | 2026-03-04T13:03:45Z | 1,682 | 2 | 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 | 2026-03-04T12:41:05Z | ## 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": 397,
"text": "Qwen3.5-9B-Claude-4.6-HighIQ-THINKING",
"label": "benchmark name",
"score": 0.6653066873550415
},
{
"start": 534,
"end": 576,
"text": "Qwen3.5-9B-Claude-4.6-HighIQ-THINKING-GGUF",
"label": "benchmark name",
"score": 0.6806585788726807
... |
RedHatAI/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 | RedHatAI | 2026-04-28T22:10:58Z | 4,994 | 2 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"nemotron-3",
"latent-moe",
"mtp",
"conversational",
"custom_code",
"en",
"fr",
"es",
"it",
"de",
"ja",
"zh",
"dataset:nvidia/nemotron-post-training-v3",
"dataset:nvidia/nemotron-pre-training-d... | text-generation | 2026-03-27T18:27:39Z | <h1 align: center; style="display: flex; align-items: center; gap: 10px; margin: 0;">
NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4
<img src="https://www.redhat.com/rhdc/managed-files/Catalog-Validated_model_0.png" alt="Model Icon" width="40" style="margin: 0; padding: 0;" />
</h1>
<a href="https://www.redhat.com/en/prod... | [] |
VietAI/envit5-translation | VietAI | 2022-11-21T09:59:08Z | 1,974 | 49 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"translation",
"vi",
"en",
"dataset:cc100",
"license:openrail",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | translation | 2022-10-06T14:53:36Z | # EnViT5 Translation
[](https://paperswithcode.com/sota/machine-translation-on-iwslt2015-english-1?p=mtet-multi-domain-translation-for-english)
[![PWC](h... | [] |
JANGQ-AI/Nemotron-Cascade-2-30B-A3B-JANG_2L | JANGQ-AI | 2026-04-17T00:40:47Z | 1,202 | 3 | mlx | [
"mlx",
"safetensors",
"nemotron_h",
"jang",
"quantized",
"mixed-precision",
"apple-silicon",
"reasoning",
"thinking",
"moe",
"mamba",
"nemotron",
"text-generation",
"conversational",
"custom_code",
"en",
"base_model:nvidia/Nemotron-Cascade-2-30B-A3B",
"base_model:finetune:nvidia/Ne... | text-generation | 2026-03-21T17:38:38Z | <p align="center">
<a href="https://mlx.studio"><img src="https://raw.githubusercontent.com/jjang-ai/jangq/main/assets/mlx-studio-light.png" alt="MLX Studio" width="500"></a>
</p>
<p align="center">
<a href="https://mlx.studio"><img src="https://mlx.studio/assets/screenshots/mlx-studio-featured.png?v=1" alt="MLX S... | [
{
"start": 497,
"end": 511,
"text": "IMO Gold Medal",
"label": "benchmark name",
"score": 0.6247000098228455
}
] |
puwaer/Qwen3-4B-Thinking-2507-GRPO-Uncensored-gguf | puwaer | 2026-02-01T16:05:27Z | 222 | 1 | gguf | [
"gguf",
"quantized",
"qwen",
"thinking",
"text-generation",
"en",
"zh",
"ja",
"base_model:puwaer/Qwen3-4B-Thinking-2507-GRPO-Uncensored",
"base_model:quantized:puwaer/Qwen3-4B-Thinking-2507-GRPO-Uncensored",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-09T06:24:20Z | # Qwen3-4B-Thinking-2507-GRPO-Uncensored-GGUF
[English](README.md) | [日本語](README_JP.md)
This repository contains GGUF quantized versions of [puwaer/Qwen3-4B-Thinking-2507-GRPO-Uncensored](https://huggingface.co/puwaer/Qwen3-4B-Thinking-2507-GRPO-Uncensored).
The original model is an uncensored model based on [Qwen/... | [] |
LuffyTheFox/Qwen3.5-35B-A3B-Claude-4.6-Opus-Uncensored-V2-GGUF | LuffyTheFox | 2026-04-05T10:56:05Z | 902 | 2 | null | [
"gguf",
"qwen3.5",
"moe",
"reasoning",
"claude-distillation",
"llama-cpp",
"lora",
"uncensored",
"text-generation",
"en",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"base_model:Qwen/... | text-generation | 2026-04-03T14:05:43Z | # 🌟 This model has been made via GGUF delta merge of [samuelcardillo](https://huggingface.co/samuelcardillo/Qwen3.5-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF) model with [HauhauCS](https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/tree/main) model.
# 🌟 Features
- Fully uncensored... | [] |
mradermacher/MathSmith-DS-Qwen-7B-LongCoT-GGUF | mradermacher | 2025-11-12T22:23:20Z | 647 | 1 | transformers | [
"transformers",
"gguf",
"llama-factory",
"full",
"generated_from_trainer",
"en",
"dataset:Jasaxion/MathSmith-HC-Solution-Generation-ShortCoT-Qwen3-30B-A3B",
"dataset:Jasaxion/MathSmith-HC-Problems",
"base_model:Jasaxion/MathSmith-DS-Qwen-7B-LongCoT",
"base_model:quantized:Jasaxion/MathSmith-DS-Qwe... | null | 2025-11-12T15:14:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
lmstudio-community/Ministral-3-8B-Reasoning-2512-GGUF | lmstudio-community | 2025-12-02T18:27:56Z | 3,024 | 1 | null | [
"gguf",
"base_model:mistralai/Ministral-3-8B-Reasoning-2512",
"base_model:quantized:mistralai/Ministral-3-8B-Reasoning-2512",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-02T17:01:11Z | ## 💫 Community Model> Ministral-3-8B-Reasoning-2512 by mistralai
*👾 [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**: [mistralai](https://huggingface.co/m... | [] |
deadbydawn101/gemma-4-21b-REAP-Tool-Calling-mlx-4bit | deadbydawn101 | 2026-04-09T08:29:05Z | 489 | 2 | mlx | [
"mlx",
"safetensors",
"gemma4",
"moe",
"pruning",
"reap",
"expert-pruning",
"4-bit",
"quantized",
"apple-silicon",
"multimodal",
"vision",
"cerebras",
"turboquant",
"kv-cache-compression",
"long-context",
"ravenx",
"tool-calling",
"function-calling",
"ollama",
"image-text-to-... | image-text-to-text | 2026-04-05T17:10:46Z | # Gemma 4 21B REAP — Tool Calling ✅ | 103 Experts | MLX 4-bit | Apple Silicon
> **The biggest open Gemma 4 on Apple Silicon. 21B MoE, REAP-pruned to 4 active experts, native tool calling, 12 GB MLX 4-bit. TurboQuant ready.**
**[0xSero/gemma-4-21b-a4b-it-REAP](https://huggingface.co/0xSero/gemma-4-21b-a4b-it-REAP)** ... | [] |
XeyonAI/Mistral-Helcyon-Mercury-12b-v2.0-GGUF | XeyonAI | 2026-03-02T18:43:45Z | 272 | 4 | null | [
"gguf",
"mistral",
"mistral-nemo",
"conversational",
"companion",
"emotional-intelligence",
"long-context",
"base_model:mistralai/Mistral-Nemo-Base-2407",
"base_model:quantized:mistralai/Mistral-Nemo-Base-2407",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-01-10T21:29:55Z | # Mistral-Helcyon-Mercury-12B-v2.0-GGUF — Conversational AI with Presence
**Model Name:** `helcyon-mercury-12b-v2.0-GGUF`
**Version:** 2.0
**Owner:** HardWire
**Base:** Mistral Nemo 12B (full weight trained)
**Quantized GGUFs:** Q4_K_M, Q5_K_M, Q6_K, Q8_0
**Tags:** local-llm, conversational, companion, emoti... | [] |
mradermacher/Cavil-Qwen3.5-4B-GGUF | mradermacher | 2026-03-14T14:25:52Z | 611 | 1 | transformers | [
"transformers",
"gguf",
"legal",
"en",
"dataset:openSUSE/cavil-legal-text",
"base_model:openSUSE/Cavil-Qwen3.5-4B",
"base_model:quantized:openSUSE/Cavil-Qwen3.5-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-14T14:17:14Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 361,
"end": 377,
"text": "Cavil-Qwen3.5-4B",
"label": "benchmark name",
"score": 0.6865105032920837
},
{
"start": 514,
"end": 535,
"text": "Cavil-Qwen3.5-4B-GGUF",
"label": "benchmark name",
"score": 0.7498787045478821
},
{
"start": 1231,
"end": 125... |
unsloth/bge-m3 | unsloth | 2026-01-22T14:33:29Z | 3,403 | 3 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"onnx",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"arxiv:2402.03216",
"arxiv:2004.04906",
"arxiv:2106.14807",
"arxiv:2107.05720",
"arxiv:2004.12832",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | 2026-01-22T14:29:31Z | For more details please refer to our github repo: https://github.com/FlagOpen/FlagEmbedding
# BGE-M3 ([paper](https://arxiv.org/pdf/2402.03216.pdf), [code](https://github.com/FlagOpen/FlagEmbedding/tree/master/FlagEmbedding/BGE_M3))
In this project, we introduce BGE-M3, which is distinguished for its versatility in M... | [] |
mradermacher/DeepSeek-R1-Distill-Llama-8B-heretic-i1-GGUF | mradermacher | 2026-02-26T20:51:02Z | 17,369 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:simmessa/DeepSeek-R1-Distill-Llama-8B-heretic",
"base_model:quantized:simmessa/DeepSeek-R1-Distill-Llama-8B-heretic",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversation... | null | 2026-02-26T14:24:46Z | ## 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": 637,
"end": 681,
"text": "DeepSeek-R1-Distill-Llama-8B-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6064255237579346
}
] |
mradermacher/Barbot-8B-v1-GGUF | mradermacher | 2026-03-13T06:37:31Z | 846 | 1 | transformers | [
"transformers",
"gguf",
"finetune",
"llama",
"occult",
"uncensored",
"Douglas Adams",
"en",
"dataset:Naphula/Starship_Titanic",
"dataset:OccultAI/Barbot_50",
"base_model:OccultAI/Barbot-8B-v1",
"base_model:quantized:OccultAI/Barbot-8B-v1",
"license:apache-2.0",
"endpoints_compatible",
"r... | null | 2026-03-13T06:05:19Z | ## 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": 510,
"end": 527,
"text": "Barbot-8B-v1-GGUF",
"label": "benchmark name",
"score": 0.6866351962089539
},
{
"start": 611,
"end": 631,
"text": "Barbot-8B-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.6244878768920898
},
{
"start": 1092,
"end": 110... |
mradermacher/GLM-4.7-Flash-heretic-i1-GGUF | mradermacher | 2026-03-04T23:40:09Z | 9,290 | 4 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"base_model:trohrbaugh/GLM-4.7-Flash-heretic",
"base_model:quantized:trohrbaugh/GLM-4.7-Flash-heretic",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-04T19:13:10Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/Jan-v3-4B-base-instruct-heretic-i1-GGUF | mradermacher | 2026-02-10T23:32:17Z | 116 | 1 | transformers | [
"transformers",
"gguf",
"code",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:megabytes/Jan-v3-4B-base-instruct-heretic",
"base_model:quantized:megabytes/Jan-v3-4B-base-instruct-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"con... | null | 2026-02-10T21:39:03Z | ## 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_... | [] |
cyankiwi/Qwen3-30B-A3B-Instruct-2507-AWQ-8bit | cyankiwi | 2026-03-23T07:19:44Z | 44,736 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-30B-A3B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-30B-A3B-Instruct-2507",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | text-generation | 2025-08-08T06:01:42Z | # Qwen3-30B-A3B-Instruct-2507 AWQ - INT8
## Model Details
### Quantization Details
- **Quantization Method:** cyankiwi AWQ v1.0
- **Bits:** 8
- **Group Size:** 32
- **Calibration Dataset:** [nvidia/Llama-Nemotron-Post-Training-Dataset](https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset)
- **... | [
{
"start": 2,
"end": 29,
"text": "Qwen3-30B-A3B-Instruct-2507",
"label": "benchmark name",
"score": 0.6363461017608643
},
{
"start": 113,
"end": 121,
"text": "cyankiwi",
"label": "benchmark name",
"score": 0.6537504196166992
},
{
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"end": 467,
... |
levossadtchi/QED-75M | levossadtchi | 2026-03-25T11:27:10Z | 623 | 11 | transformers | [
"transformers",
"pytorch",
"safetensors",
"qed",
"text-generation",
"causal-lm",
"decoder-only",
"rope",
"rmsnorm",
"swiglu",
"custom-architecture",
"custom_code",
"en",
"license:mit",
"region:us"
] | text-generation | 2026-03-19T13:20:46Z | [Try it Right Now](https://qedlm.art)
# QED-75M
QED-75M is a co... | [] |
speakleash/Bielik-11B-v3.0-Instruct-FP8-Dynamic | speakleash | 2026-01-28T17:10:53Z | 3,594 | 4 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"finetuned",
"gguf",
"8bit",
"conversational",
"multilingual",
"pl",
"en",
"sq",
"bel",
"bs",
"bg",
"hr",
"cs",
"da",
"et",
"fi",
"fr",
"el",
"es",
"is",
"lt",
"nl",
"de",
"no",
"pt",
"ru",
"ro",
... | text-generation | 2025-12-30T14:19:42Z | <p align="center">
<img src="https://huggingface.co/speakleash/Bielik-11B-v2/raw/main/speakleash_cyfronet.png">
</p>
# Bielik-11B-v3.0-Instruct-FP8-Dynamic
This model was obtained by quantizing the weights and activations of [Bielik-11B-v3.0-Instruct](https://huggingface.co/speakleash/Bielik-11B-v3.0-Instruct) to F... | [] |
ThomasTschinkel/fake-news-detector | ThomasTschinkel | 2026-03-29T11:34:38Z | 127 | 1 | transformers | [
"transformers",
"safetensors",
"fake_news_detector",
"text-classification",
"fake-news",
"fake-news-detection",
"misinformation",
"fact-checking",
"roberta",
"roberta-large",
"news-classification",
"content-moderation",
"nlp",
"custom_code",
"en",
"base_model:FacebookAI/roberta-large",... | text-classification | 2026-03-28T09:41:30Z | # Fake News Detector
A high-accuracy binary classifier that identifies news articles as
REAL or FAKE, built on fine-tuned RoBERTa-Large with a custom
dual-pooling classification head.
| Metric | Score |
|---|---:|
| Accuracy | 99.81% |
| F1 (macro) | 99.81% |
| Precision | 99.79% |
| Recall | 99.84% |
| ROC-AUC | 99.... | [
{
"start": 307,
"end": 314,
"text": "ROC-AUC",
"label": "evaluation metric",
"score": 0.6677021384239197
}
] |
ddh0/GLM-4.5-Iceblink-v2-106B-A12B-GGUF | ddh0 | 2025-11-03T23:20:07Z | 817 | 8 | null | [
"gguf",
"base_model:zerofata/GLM-4.5-Iceblink-v2-106B-A12B",
"base_model:quantized:zerofata/GLM-4.5-Iceblink-v2-106B-A12B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-03T03:40:28Z | # GLM-4.5-Iceblink-v2-106B-A12B-106B-A12B-GGUF
This repository contains several custom GGUF quantizations of [zerofata/GLM-4.5-Iceblink-v2-106B-A12B](https://huggingface.co/zerofata/GLM-4.5-Iceblink-v2-106B-A12B), to be used with [llama.cpp](https://github.com/ggml-org/llama.cpp).
The naming scheme for these custom q... | [
{
"start": 500,
"end": 508,
"text": "DownType",
"label": "evaluation metric",
"score": 0.601370632648468
},
{
"start": 1197,
"end": 1208,
"text": "Average BPW",
"label": "evaluation metric",
"score": 0.605322003364563
}
] |
mradermacher/ozeldestektr-Gemma-2-9B-GGUF | mradermacher | 2026-02-06T22:33:44Z | 390 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:behAIvNET/ozeldestektr-Gemma-2-9B",
"base_model:quantized:behAIvNET/ozeldestektr-Gemma-2-9B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-06T22:00:06Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 522,
"end": 550,
"text": "ozeldestektr-Gemma-2-9B-GGUF",
"label": "benchmark name",
"score": 0.7220855355262756
},
{
"start": 1246,
"end": 1274,
"text": "ozeldestektr-Gemma-2-9B-GGUF",
"label": "benchmark name",
"score": 0.6995375156402588
},
{
"start":... |
princeton-nlp/Llama-3-8B-ProLong-64k-Base | princeton-nlp | 2024-10-31T13:01:35Z | 7,631 | 6 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"dataset:princeton-nlp/prolong-data-64K",
"arxiv:2410.02660",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:finetune:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"text-generation-inference",
... | text-generation | 2024-07-22T12:50:55Z | # princeton_nlp/Llama-3-8B-ProLong-64k-Base
[[Paper](https://arxiv.org/pdf/2410.02660)] [[HF Collection](https://huggingface.co/collections/princeton-nlp/prolong-66c72d55d2051a86ac7bd7e4)] [[Code](https://github.com/princeton-nlp/ProLong)]
**ProLong** (<u>Pr</u>incet<u>o</u>n <u>long</u>-context language models) is ... | [] |
HuggingFaceTB/SmolLM-135M-Instruct | HuggingFaceTB | 2024-09-04T15:37:45Z | 36,057 | 135 | transformers | [
"transformers",
"onnx",
"safetensors",
"llama",
"text-generation",
"alignment-handbook",
"trl",
"sft",
"conversational",
"en",
"dataset:Magpie-Align/Magpie-Pro-300K-Filtered",
"dataset:bigcode/self-oss-instruct-sc2-exec-filter-50k",
"dataset:teknium/OpenHermes-2.5",
"dataset:HuggingFaceTB/... | text-generation | 2024-07-15T23:02:44Z | # SmolLM-135M-Instruct
<center>
<img src="https://huggingface.co/datasets/HuggingFaceTB/images/resolve/main/banner_smol.png" alt="SmolLM" width="1100" height="600">
</center>
## Model Summary
SmolLM is a series of small language models available in three sizes: 135M, 360M, and 1.7B parameters.
These models ar... | [] |
google-t5/t5-large | google-t5 | 2023-04-06T13:42:27Z | 374,027 | 252 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:1808.09121",
"arxi... | translation | 2022-03-02T23:29:04Z | # Model Card for T5 Large
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. ... | [] |
nvidia/Audio2Face-3D-v3.0 | nvidia | 2025-10-21T22:01:05Z | 181 | 69 | null | [
"onnx",
"arxiv:2508.16401",
"license:other",
"region:us"
] | null | 2025-06-27T06:03:20Z | ## Model Overview
### Description:
Audio2Face-3D-v3.0 generates 3D facial animations from audio inputs, for use in applications such as video conferencing, virtual reality, and digital content creation.
This model is ready for commercial/non-commercial use. For source code, documentation, helper scripts, packaged buil... | [] |
unsloth/Llama-3.2-11B-Vision-Instruct-bnb-4bit | unsloth | 2024-12-10T02:49:03Z | 8,214 | 81 | transformers | [
"transformers",
"safetensors",
"mllama",
"image-text-to-text",
"llama-3",
"llama",
"meta",
"facebook",
"unsloth",
"multimodal",
"vision",
"pytorch",
"conversational",
"en",
"base_model:meta-llama/Llama-3.2-11B-Vision-Instruct",
"base_model:quantized:meta-llama/Llama-3.2-11B-Vision-Inst... | image-text-to-text | 2024-09-25T19:37:28Z | ## ***See [our collection](https://huggingface.co/collections/unsloth/vision-multimodal-models-673eb9908fc2cb3deebd2fa3) for vision models including Llama 3.2, Llava, Qwen2-VL and Pixtral.***
# Finetune Llama 3.2, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 not... | [] |
mradermacher/Riva-Translate-4B-Instruct-v1.1-GGUF | mradermacher | 2026-01-14T16:13:37Z | 503 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:nvidia/Riva-Translate-4B-Instruct-v1.1",
"base_model:quantized:nvidia/Riva-Translate-4B-Instruct-v1.1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-14T12:30:51Z | ## 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... | [] |
lmstudio-community/GLM-4.5-Air-GGUF | lmstudio-community | 2025-08-04T20:56:14Z | 449 | 3 | null | [
"gguf",
"text-generation",
"base_model:zai-org/GLM-4.5-Air",
"base_model:quantized:zai-org/GLM-4.5-Air",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-04T19:44:22Z | ## 💫 Community Model> GLM 4.5 Air 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>
**Original... | [] |
bartowski/MiniCPM-V-2_6-GGUF | bartowski | 2024-08-24T18:29:07Z | 6,519 | 26 | transformers | [
"transformers",
"gguf",
"minicpm-v",
"vision",
"ocr",
"multi-image",
"video",
"custom_code",
"image-text-to-text",
"multilingual",
"dataset:openbmb/RLAIF-V-Dataset",
"base_model:openbmb/MiniCPM-V-2_6",
"base_model:quantized:openbmb/MiniCPM-V-2_6",
"endpoints_compatible",
"region:us",
"... | image-text-to-text | 2024-08-22T12:56:18Z | ## Llamacpp imatrix Quantizations of MiniCPM-V-2_6
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3615">b3615</a> for quantization.
Original model: https://huggingface.co/openbmb/MiniCPM-V-2_6
All quants made using imatrix o... | [] |
Verdugie/Opus-Candid-8B-V2 | Verdugie | 2026-03-11T18:08:37Z | 192 | 1 | transformers | [
"transformers",
"gguf",
"conversational",
"personality",
"anti-sycophancy",
"bilingual",
"claude-distillation",
"opus",
"gravity-chains",
"text-generation",
"en",
"es",
"base_model:Qwen/Qwen3-8B",
"base_model:quantized:Qwen/Qwen3-8B",
"license:apache-2.0",
"endpoints_compatible",
"re... | text-generation | 2026-02-28T04:25:44Z | > **V3 is here.** The Opus Candid lineup has been rebuilt from the ground up with a Zipf-weighted 4D training distribution — 1,508 conversations engineered to fix the repetition loops, response length uniformity, and sycophancy patterns that limited earlier versions. Same thesis: personality in the weights, not in the ... | [] |
TheDrummer/Cydonia-24B-v2 | TheDrummer | 2025-03-04T18:13:01Z | 116 | 73 | null | [
"safetensors",
"mistral",
"license:other",
"region:us"
] | null | 2025-02-13T09:38:47Z | # Join our Discord! https://discord.gg/Nbv9pQ88Xb
## Nearly 4000 members strong 💪 Now with more channels! A hub for users and makers alike!
---
[BeaverAI](https://huggingface.co/BeaverAI) proudly presents...
# Cydonia 24B v2 💿
![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f2fd1c25b848bd061b5... | [] |
PeiqingYang/MatAnyone2 | PeiqingYang | 2026-03-17T09:59:02Z | 373 | 19 | matanyone2 | [
"matanyone2",
"safetensors",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"arxiv:2512.11782",
"region:us"
] | null | 2026-03-15T08:06:45Z | <div align="center">
<img src="https://github.com/pq-yang/MatAnyone2/blob/main/assets/matanyone2_logo.png?raw=true" alt="MatAnyone Logo" style="height: 52px;">
<div style="text-align: center">
<h2>Scaling Video Matting via a Learned Quality Evaluator</h2>
</div>
<div>
<a href='https://pq-yang.github.io/' targe... | [] |
ggml-org/Qwen2.5-Coder-0.5B-Q8_0-GGUF | ggml-org | 2025-01-31T10:38:51Z | 109,127 | 8 | transformers | [
"transformers",
"gguf",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-Coder-0.5B",
"base_model:quantized:Qwen/Qwen2.5-Coder-0.5B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-01-31T10:37:27Z | # ggml-org/Qwen2.5-Coder-0.5B-Q8_0-GGUF
This model was converted to GGUF format from [`Qwen/Qwen2.5-Coder-0.5B`](https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hugging... | [] |
mradermacher/QiMing-LongWriter-GGUF | mradermacher | 2025-09-08T00:57:09Z | 284 | 1 | transformers | [
"transformers",
"gguf",
"qwen",
"qwen3",
"unsloth",
"QiMing",
"QiMing-holos",
"bagua",
"decision-making",
"strategic-analysis",
"cognitive-architecture",
"chat",
"lora",
"philosophy-driven-ai",
"zh",
"en",
"base_model:aifeifei798/QiMing-LongWriter",
"base_model:adapter:aifeifei798/... | null | 2025-09-08T00:31:44Z | ## 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 qu... | [] |
mradermacher/llamas-heretic-i1-GGUF | mradermacher | 2026-03-06T10:06:05Z | 20,693 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Agtian/llamas-heretic",
"base_model:quantized:Agtian/llamas-heretic",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-06T02:21:48Z | ## 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_... | [] |
manycore-research/SpatialLM-Qwen-0.5B | manycore-research | 2025-03-21T05:40:21Z | 180 | 93 | transformers | [
"transformers",
"safetensors",
"spatiallm_qwen",
"text-generation",
"conversational",
"base_model:Qwen/Qwen2.5-0.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-0.5B-Instruct",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-03-16T15:15:49Z | # SpatialLM-Qwen-0.5B
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<picture>
<source srcset="https://cdn-uploads.huggingface.co/production/uploads/63efbb1efc92a63ac81126d0/_dK14CT3do8rBG3QrHUjN.png" media="(... | [] |
JetLM/SDAR-8B-Chat-b32 | JetLM | 2025-09-09T06:12:13Z | 35,014 | 1 | transformers | [
"transformers",
"safetensors",
"sdar",
"text-generation",
"conversational",
"custom_code",
"arxiv:2505.09388",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-09-09T05:52:23Z | # SDAR
<div align="center">
<img src="https://raw.githubusercontent.com/JetAstra/SDAR/main/assets/SDAR_doc_head.png">
<div> </div>
[💻Github Repo](https://github.com/JetAstra/SDAR) • [🤗Model Collections](https://huggingface.co/collections/JetLM/sdar-689b1b6d392a4eeb2664f8ff)
</div>
# Introduction
**SDAR** ... | [
{
"start": 2,
"end": 6,
"text": "SDAR",
"label": "benchmark name",
"score": 0.6552647948265076
},
{
"start": 183,
"end": 187,
"text": "SDAR",
"label": "benchmark name",
"score": 0.6297174692153931
},
{
"start": 311,
"end": 315,
"text": "SDAR",
"label":... |
microsoft/GUI-Actor-2B-Qwen2-VL | microsoft | 2025-08-09T00:41:10Z | 296 | 20 | transformers | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"conversational",
"arxiv:2506.03143",
"base_model:Qwen/Qwen2-VL-2B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-2B-Instruct",
"license:mit",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-06-01T23:23:30Z | # GUI-Actor-2B with Qwen2-VL-2B as backbone VLM
This model was introduced in the paper [GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents](https://www.arxiv.org/pdf/2506.03143).
It is developed based on [Qwen2-VL-2B-Instruct ](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct), augmented by an attention-based ... | [] |
professorf/Mistral-7B-Instruct-v0.3-gguf | professorf | 2026-02-16T17:31:20Z | 170 | 1 | vllm | [
"vllm",
"gguf",
"mistral-common",
"base_model:mistralai/Mistral-7B-v0.3",
"base_model:quantized:mistralai/Mistral-7B-v0.3",
"license:apache-2.0",
"region:us",
"conversational"
] | null | 2026-02-16T17:22:43Z | <!-- header start -->
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;">ProfessorF is Nick V. Flor, PhD<br>Models quantized for research reproducibility purposes</p></div>
<hr style="margin-top: 1.... | [] |
amkkk/Qwen3.5-0.8B-quantized_uncensored_finetuned | amkkk | 2026-03-12T23:55:24Z | 986 | 2 | gguf | [
"gguf",
"finetune",
"lora",
"lora-merged",
"refusal-direction",
"model-editing",
"qwen3.5",
"image-text-to-text",
"dataset:Guilherme34/uncensor",
"base_model:Qwen/Qwen3.5-0.8B",
"base_model:finetune:Qwen/Qwen3.5-0.8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversat... | image-text-to-text | 2026-03-06T02:12:56Z | # Qwen3.5-0.8B-quantized_uncensored_finetuned
This repository contains the **Q4_K_M GGUF** release of an **epoch-2 LoRA finetune** trained on top of an **all-layer ablated** `Qwen/Qwen3.5-0.8B` checkpoint.
## Model summary
- **Base model:** `Qwen/Qwen3.5-0.8B`
- **Training dataset:** `Guilherme34/uncensor`
- **Train... | [] |
inclusionAI/ZwZ-4B | inclusionAI | 2026-03-04T12:46:33Z | 1,749 | 30 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"en",
"dataset:inclusionAI/ZoomBench",
"dataset:inclusionAI/ZwZ-RL-VQA",
"arxiv:2602.11858",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-4B-Instruct",
"license:apache-2.0",
"endp... | image-text-to-text | 2026-02-12T08:53:01Z | # ZwZ-4B
<div align="center">
📃 [Paper](https://arxiv.org/pdf/2602.11858) | 🏠 [Project](https://github.com/inclusionAI/Zooming-without-Zooming) | 🤗 [Collection](https://huggingface.co/collections/inclusionAI/zooming-without-zooming)
</div>
## Model Summary
**ZwZ-4B** is a fine-grained multimodal perception mode... | [
{
"start": 2,
"end": 8,
"text": "ZwZ-4B",
"label": "benchmark name",
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"end": 270,
"text": "ZwZ-4B",
"label": "benchmark name",
"score": 0.7759397029876709
},
{
"start": 331,
"end": 342,
"text": "Qwen3-VL-4B",
... |
XiaomiMiMo/MiMo-7B-Base | XiaomiMiMo | 2025-06-05T16:06:42Z | 127,987 | 127 | transformers | [
"transformers",
"safetensors",
"mimo",
"text-generation",
"conversational",
"custom_code",
"arxiv:2505.07608",
"license:mit",
"region:us"
] | text-generation | 2025-04-29T23:41:27Z | <div align="center">
<picture>
<source srcset="https://github.com/XiaomiMiMo/MiMo/raw/main/figures/Xiaomi_MiMo_darkmode.png?raw=true" media="(prefers-color-scheme: dark)">
<img src="https://github.com/XiaomiMiMo/MiMo/raw/main/figures/Xiaomi_MiMo.png?raw=true" width="60%" alt="Xiaomi-MiMo" />
</picture>
</di... | [] |
microsoft/Orca-2-13b | microsoft | 2023-11-22T17:56:02Z | 3,137 | 667 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"orca",
"orca2",
"microsoft",
"arxiv:2311.11045",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-11-14T01:12:36Z | # Orca 2
<!-- Provide a quick summary of what the model is/does. -->
Orca 2 is built for research purposes only and provides a single turn response in tasks such as reasoning over user given data, reading comprehension, math problem solving and text summarization. The model is designed to excel particularly in reason... | [] |
CalamitousFelicitousness/LTX-2.3-distilled-Diffusers | CalamitousFelicitousness | 2026-03-07T23:46:25Z | 294 | 2 | diffusers | [
"diffusers",
"safetensors",
"image-to-video",
"text-to-video",
"ltx-2",
"ltx-2-3",
"ltx-video",
"lightricks",
"en",
"arxiv:2601.03233",
"base_model:Lightricks/LTX-2.3",
"base_model:finetune:Lightricks/LTX-2.3",
"license:other",
"diffusers:LTX2Pipeline",
"region:us"
] | image-to-video | 2026-03-07T04:50:45Z | > **LTX-2.3 Distilled (22B) — Diffusers Format**
>
> Distilled version of the full model. 8 steps, CFG=1.
>
> Converted from [Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3) raw safetensors to HuggingFace Diffusers format.
---
# LTX-2.3 Model Card
This model card focuses on the LTX-2.3 model, which i... | [] |
AI-MO/Kimina-Autoformalizer-7B | AI-MO | 2025-04-16T08:52:17Z | 480 | 18 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2504.11354",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Coder-7B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"regi... | text-generation | 2025-04-13T09:46:33Z | # Kimina-Autoformalizer-7B
**Kimina-Autoformalizer-7B** is a autoformalizer model developed by Project Numina, focusing on translating natural language descriptions of competition style problems to ... | [] |
kgrabko/JiRackTernary_405b | kgrabko | 2026-04-08T18:03:15Z | 408 | 4 | null | [
"safetensors",
"jirack_ternary",
"ternary",
"bitnet",
"1.58bit",
"llama",
"ternary-transformer",
"quantized",
"text-generation",
"en",
"ru",
"base_model:meta-llama/Llama-3.1-405B",
"base_model:quantized:meta-llama/Llama-3.1-405B",
"license:other",
"2-bit",
"region:us"
] | text-generation | 2026-02-02T04:54:03Z | # Proprietary Invention Package – Ternary-Quantized Transformer Optimization
**Under training yet:** DEV
**Inventor:** Konstantin Vladimirovich Grabko
**Email:** grabko@cmsmanhattan.com
**Date:** December 21, 2025
**Needed:** A sponsor for Llama 405b Distilation to high quality as original Llama 405b or Data ... | [] |
thedeoxen/FLUX.1-Kontext-dev-reference-depth-fusion-LORA | thedeoxen | 2025-08-20T11:27:49Z | 116 | 70 | diffusers | [
"diffusers",
"flux",
"depth",
"controlnet",
"kontext",
"flux-kontext",
"img2img",
"image",
"editing",
"lora",
"image-to-image",
"base_model:black-forest-labs/FLUX.1-Kontext-dev",
"base_model:adapter:black-forest-labs/FLUX.1-Kontext-dev",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-08-17T11:11:19Z | ---
license: apache-2.0
base_model:
- black-forest-labs/FLUX.1-Kontext-dev
pipeline_tag: image-to-image
---
# Depth Reference Fusion LoRA
## 📝 Short description
A LoRA for **Flux Kontext Dev** that fuses a **reference image (left)** with a **depth map (right)**.
It preserves **identity and style** from the referen... | [] |
facebook/metaclip-2-worldwide-b32 | facebook | 2025-11-12T04:04:42Z | 272 | 6 | transformers | [
"transformers",
"safetensors",
"metaclip_2",
"zero-shot-image-classification",
"clip",
"multilingual",
"arxiv:2507.22062",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2025-11-12T03:44:50Z | # Model Card for Distilled MetaCLIP 2 ViT-B/32 (worldwide)
Distilled MetaCLIP 2 (worldwide) was presented in [MetaCLIP 2: A Worldwide Scaling Recipe](https://huggingface.co/papers/2507.22062).
This checkpoint corresponds to "ViT-B-32-worldwide" of the [original implementation](https://github.com/facebookresearch/Meta... | [] |
ChengsenWang/ChatTime-1-7B-Base | ChengsenWang | 2024-12-17T02:35:50Z | 483 | 6 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"time-series",
"pretrained-model",
"foundation-model",
"multimodality",
"multimodal-time-series-foundation-model",
"time-series-forecasting",
"dataset:ChengsenWang/ChatTime-1-Pretrain-1M",
"arxiv:2412.11376",
"base_model:meta-llama/L... | time-series-forecasting | 2024-07-08T10:59:59Z | # ChatTime: A Multimodal Time Series Foundation Model
## ✨ Introduction
In this paper, we innovatively model time series as a foreign language and construct ChatTime, a unified framework for time series and text processing. As an out-of-the-box multimodal time series foundation model, ChatTime provides zero-shot fore... | [] |
NAMAA-Space/Ara-Prompt-Guard_V1 | NAMAA-Space | 2026-03-10T06:34:37Z | 222 | 6 | transformers | [
"transformers",
"safetensors",
"deberta-v2",
"text-classification",
"arabic",
"llm",
"security",
"saftey",
"ar",
"base_model:meta-llama/Llama-Prompt-Guard-2-86M",
"base_model:finetune:meta-llama/Llama-Prompt-Guard-2-86M",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compat... | text-classification | 2026-03-07T14:07:57Z | # Ara-Prompt-Guard_V1
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/ILrCwz8383VIDV2oLu8TI.jpeg" width="900"/>
</p>
## Model Description
This model is a fine-tuned version of the `meta-llama/Llama-Prompt-Guard-2-86M` model, specifically adapted for **A... | [] |
calcuis/qwen-image-gguf | calcuis | 2025-08-14T09:52:33Z | 1,888 | 23 | diffusers | [
"diffusers",
"gguf",
"gguf-node",
"gguf-connector",
"text-to-image",
"en",
"base_model:Qwen/Qwen-Image",
"base_model:quantized:Qwen/Qwen-Image",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-08-05T12:10:41Z | # **gguf quantized version of qwen-image**
- run it straight with `gguf-connector`
```
ggc q5
```
>
>GGUF file(s) available. Select which one to use:
>
>1. qwen-image-iq2_s.gguf
>2. qwen-image-iq4_nl.gguf
>3. qwen-image-q4_0.gguf
>4. qwen-image-q8_0.gguf
>
>Enter your choice (1 to 4): _
>
## **run it with gguf-node via... | [] |
MBZUAI/AIN | MBZUAI | 2025-03-13T11:30:39Z | 407,969 | 16 | null | [
"safetensors",
"qwen2_vl",
"LMM",
"Arabic",
"OCR",
"image-text-to-text",
"conversational",
"en",
"ar",
"arxiv:2502.00094",
"license:mit",
"region:us"
] | image-text-to-text | 2025-01-07T20:30:17Z | <div style="display: flex; align-items: center;">
<img src="assets_hf/AIN.png" width="10%" alt="logo" style="margin-right: 10px;" />
<h1 style="margin: 0; font-size: 28px;";">AIN: The Arabic INclusive Large Multimodal Model</h1>
</div>
[Ahmed Heakl](https://huggingface.co/ahmedheakl) <sup> * </sup>
[Sara Gh... | [] |
mradermacher/Ministral-3-8B-Instruct-2512-PaperWitch-heresy-i1-GGUF | mradermacher | 2026-02-19T07:18:52Z | 666 | 2 | transformers | [
"transformers",
"gguf",
"mistral-common",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:MuXodious/Ministral-3-8B-Instruct-2512-PaperWitch-heresy",
"base_model:quantized:MuXodious/Ministral-3-8... | null | 2026-02-19T06:40:28Z | ## 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_... | [] |
google/siglip-large-patch16-256 | google | 2024-09-26T08:21:54Z | 26,501 | 13 | transformers | [
"transformers",
"safetensors",
"siglip",
"zero-shot-image-classification",
"vision",
"arxiv:2303.15343",
"arxiv:2209.06794",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2024-01-08T12:48:50Z | # SigLIP (large-sized model)
SigLIP model pre-trained on WebLi at resolution 256x256. It was introduced in the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Zhai et al. and first released in [this repository](https://github.com/google-research/big_vision).
Disclaimer: The ... | [] |
mradermacher/Cydonia-24B-v4.1-i1-GGUF | mradermacher | 2025-12-16T03:04:43Z | 238 | 5 | transformers | [
"transformers",
"gguf",
"en",
"base_model:TheDrummer/Cydonia-24B-v4.1",
"base_model:quantized:TheDrummer/Cydonia-24B-v4.1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-18T20:32:34Z | ## 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... | [] |
mistralai/Mistral-7B-Instruct-v0.1 | mistralai | 2025-07-24T16:44:46Z | 386,893 | 1,828 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"finetuned",
"mistral-common",
"conversational",
"arxiv:2310.06825",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"text-generation-inference",
"region:u... | text-generation | 2023-09-27T14:31:52Z | # Model Card for Mistral-7B-Instruct-v0.1
## Encode and Decode with `mistral_common`
```py
from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
from mistral_common.protocol.instruct.messages import UserMessage
from mistral_common.protocol.instruct.request import ChatCompletionRequest
m... | [] |
google/electra-small-discriminator | google | 2024-02-29T10:20:20Z | 789,245 | 38 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"electra",
"pretraining",
"en",
"arxiv:1406.2661",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05Z | ## ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
**ELECTRA** is a new method for self-supervised language representation learning. It can be used to pre-train transformer networks using relatively little compute. ELECTRA models are trained to distinguish "real" input tokens vs "fake" inp... | [] |
mlx-community/Voxtral-Mini-4B-Realtime-2602-4bit | mlx-community | 2026-02-10T09:33:59Z | 1,161 | 7 | mlx | [
"mlx",
"safetensors",
"voxtral_realtime",
"mlx-audio",
"speech-to-text",
"streaming",
"realtime",
"automatic-speech-recognition",
"ar",
"de",
"en",
"es",
"fr",
"hi",
"it",
"nl",
"pt",
"zh",
"ja",
"ko",
"ru",
"base_model:mistralai/Voxtral-Mini-4B-Realtime-2602",
"base_mode... | automatic-speech-recognition | 2026-02-06T23:43:41Z | # Voxtral Mini 4B Realtime
This is a **4-bit quantized** [MLX](https://github.com/ml-explore/mlx) conversion of [mistralai/Voxtral-Mini-4B-Realtime-2602](https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-2602), Mistral AI's streaming speech-to-text model.
Runs via [mlx-audio](https://github.com/Blaizzy/mlx-a... | [] |
Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design | Shakker-Labs | 2024-09-10T03:26:31Z | 991 | 401 | diffusers | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"image-generation",
"flux",
"safetensors",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2024-09-09T09:13:41Z | # FLUX.1-dev-LoRA-Logo-Design
This is a LoRA (Logo-Design) trained on FLUX.1-dev by [CJim](https://www.shakker.ai/userpage/b43e5cc7fcd64d2bbde42c6e889267cc/publish) on [Shakker AI](https://www.shakker.ai/modelinfo/0355942f9bd140a99e371ba5731894e8?from=personal_page).
<div class="container">
<img src="./poster.jpg" w... | [] |
inference-optimization/sarvam-30b-FP8-Dynamic | inference-optimization | 2026-03-09T14:50:50Z | 126 | 1 | null | [
"safetensors",
"sarvam_moe",
"fp8",
"vllm",
"text-generation",
"conversational",
"custom_code",
"base_model:sarvamai/sarvam-30b",
"base_model:quantized:sarvamai/sarvam-30b",
"compressed-tensors",
"region:us"
] | text-generation | 2026-03-09T01:56:03Z | # sarvam-30b-FP8-dynamic
## Model Overview
- **Model Architecture:** sarvamai/sarvam-30b
- **Input:** Text
- **Output:** Text
- **Model Optimizations:**
- **Weight quantization:** FP8
- **Activation quantization:** FP8
- **Out-of-scope:** Use in any manner that violates applicable laws or regulations (includin... | [] |
ugreen-ai/Qwen3.5-35B-A3B-GGUF | ugreen-ai | 2026-04-23T02:25:56Z | 369 | 1 | null | [
"gguf",
"qwen3_5_moe",
"unsloth",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | image-text-to-text | 2026-04-21T08:01:39Z | <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 ... | [] |
bartowski/arcee-lite-GGUF | bartowski | 2024-08-05T19:13:06Z | 175 | 1 | null | [
"gguf",
"text-generation",
"base_model:arcee-ai/arcee-lite",
"base_model:quantized:arcee-ai/arcee-lite",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-08-01T14:18:38Z | ## Llamacpp imatrix Quantizations of arcee-lite
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3496">b3496</a> for quantization.
Original model: https://huggingface.co/arcee-ai/arcee-lite
All quants made using imatrix option... | [] |
facebook/mbart-large-50-many-to-many-mmt | facebook | 2023-09-28T16:42:59Z | 107,592 | 406 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"mbart",
"text2text-generation",
"mbart-50",
"translation",
"multilingual",
"ar",
"cs",
"de",
"en",
"es",
"et",
"fi",
"fr",
"gu",
"hi",
"it",
"ja",
"kk",
"ko",
"lt",
"lv",
"my",
"ne",
"nl",
"ro... | translation | 2022-03-02T23:29:05Z | # mBART-50 many to many multilingual machine translation
This model is a fine-tuned checkpoint of [mBART-large-50](https://huggingface.co/facebook/mbart-large-50). `mbart-large-50-many-to-many-mmt` is fine-tuned for multilingual machine translation. It was introduced in [Multilingual Translation with Extensible Multi... | [] |
bartowski/Qwen2.5-3B-Instruct-GGUF | bartowski | 2024-09-19T15:03:30Z | 12,917 | 20 | null | [
"gguf",
"chat",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-3B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-3B-Instruct",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-09-16T14:07:42Z | ## Llamacpp imatrix Quantizations of Qwen2.5-3B-Instruct
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/Qwen/Qwen2.5-3B-Instruct
All quants made using ... | [] |
tensorblock/TowerInstruct-Mistral-7B-v0.2-GGUF | tensorblock | 2026-01-27T21:14:41Z | 464 | 3 | null | [
"gguf",
"TensorBlock",
"GGUF",
"translation",
"en",
"de",
"fr",
"zh",
"pt",
"nl",
"ru",
"ko",
"it",
"es",
"base_model:Unbabel/TowerInstruct-Mistral-7B-v0.2",
"base_model:quantized:Unbabel/TowerInstruct-Mistral-7B-v0.2",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",... | translation | 2024-11-10T16:21:47Z | <div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
[](https://t... | [] |
openai/whisper-tiny.en | openai | 2024-01-22T17:55:12Z | 116,679 | 112 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"en",
"arxiv:2212.04356",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | automatic-speech-recognition | 2022-09-26T06:57:49Z | # Whisper
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours
of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need
for fine-tuning.
Whisper was proposed in the paper [Robust Speec... | [] |
vantagewithai/SCAIL-Preview-GGUF | vantagewithai | 2026-03-25T02:17:49Z | 4,533 | 30 | null | [
"gguf",
"image-to-video",
"arxiv:2512.05905",
"base_model:zai-org/SCAIL-Preview",
"base_model:quantized:zai-org/SCAIL-Preview",
"license:mit",
"region:us"
] | image-to-video | 2025-12-14T19:05:12Z | **Quantized GGUF version of SCAIL-Preview.**
**Original model link:** [https://huggingface.co/zai-org/SCAIL-Preview](https://huggingface.co/zai-org/SCAIL-Preview)
**Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai)
# SCAIL: Towards Studio-Grade Character Animation via In-Context Learnin... | [] |
nvidia/Qwen3.5-397B-A17B-NVFP4 | nvidia | 2026-03-30T21:42:34Z | 232,788 | 83 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"qwen3_5_moe",
"nvidia",
"ModelOpt",
"Qwen3.5",
"quantized",
"FP4",
"fp4",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3.5-397B-A17B",
"base_model:quantized:Qwen/Qwen3.5-397B-A17B",
"license:apache-2.0",
"modelopt",
"region:us"
] | text-generation | 2026-02-16T19:27:14Z | # Model Overview
## Description:
The NVIDIA Qwen3.5-397B-A17B NVFP4 model is the quantized version of Alibaba's Qwen3.5-397B-A17B model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/Qwen/Qwen3.5-397B-A17B). ... | [] |
mradermacher/atom-80b-GGUF | mradermacher | 2026-03-02T14:15:21Z | 211 | 2 | transformers | [
"transformers",
"gguf",
"qwen3",
"qwen3-next",
"qwen",
"vanta-research",
"cognitive-configuration",
"text-generation",
"instruction-following",
"cognitive-ai",
"large-language-model",
"helpful-ai",
"aligned-ai",
"philosophical",
"emotional-intelligence",
"atom",
"collaborative-ai",
... | text-generation | 2026-01-06T06:00:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 512,
"end": 525,
"text": "atom-80b-GGUF",
"label": "benchmark name",
"score": 0.6090572476387024
}
] |
unsloth/gemma-3-27b-it-FP8-Dynamic | unsloth | 2025-11-25T08:51:05Z | 430 | 1 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"unsloth",
"gemma",
"google",
"conversational",
"en",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxi... | image-text-to-text | 2025-11-24T13:16:09Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/gemma-3-67d12b7e8816ec6efa7e4e5b">our collection</a> for all versions of Gemma 3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em><a href="https://docs.... | [] |
lordx64/Qwen3.6-35B-A3B-Kimi-K2.6-Reasoning-Distilled | lordx64 | 2026-04-28T17:43:42Z | 347 | 6 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"text-generation",
"reasoning",
"distillation",
"chain-of-thought",
"qwen",
"qwen3.6",
"kimi",
"kimi-k2",
"mixture-of-experts",
"moe",
"lora",
"unsloth",
"conversational",
"en",
"dataset:lordx64/reasoning-distill... | text-generation | 2026-04-26T13:08:39Z | # Qwen3.6-35B-A3B-Kimi-K2.6-Reasoning-Distilled
A reasoning-distilled variant of **Qwen3.6-35B-A3B** taught to imitate the chain-of-thought style of **Kimi K2.6**, the frontier reasoning model from Moonshot AI. The goal: port Kimi-grade reasoning behavior into a permissively-licensed Mixture-of-Experts model that an i... | [] |
mradermacher/gemma-3-12b-it-ultra-heretic-GGUF | mradermacher | 2026-03-17T11:28:18Z | 1,012 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:llmfan46/gemma-3-12b-it-ultra-uncensored-heretic",
"base_model:quantized:llmfan46/gemma-3-12b-it-ultra-uncensored-heretic",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-14T11:33:35Z | ## 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... | [] |
caiovicentino1/Qwen3.5-9B-Neo-HLWQ-Q5 | caiovicentino1 | 2026-04-13T18:51:29Z | 1,063 | 5 | null | [
"qwen3_5_text",
"hlwq",
"qwen3.5",
"quantized",
"kv-cache-compression",
"text-generation",
"conversational",
"arxiv:2502.02617",
"arxiv:2603.29078",
"base_model:Jackrong/Qwen3.5-9B-Neo",
"base_model:quantized:Jackrong/Qwen3.5-9B-Neo",
"license:apache-2.0",
"polarengine",
"region:us"
] | text-generation | 2026-04-04T00:00:18Z | > [!IMPORTANT]
> **Naming notice (2026-04-10).** The "HLWQ" technique used in this model is being rebranded to **HLWQ (Hadamard-Lloyd Weight Quantization)**. The change is only the name; the algorithm and the weights in this repository are unchanged.
>
> The rebrand resolves a name collision with an unrelated, earlier ... | [
{
"start": 54,
"end": 58,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.8087493777275085
},
{
"start": 113,
"end": 117,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.8602856993675232
},
{
"start": 360,
"end": 364,
"text": "HLWQ",
"label... |
kingabzpro/whisper-base-urdu-full | kingabzpro | 2025-07-06T14:13:06Z | 535 | 2 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"urdu",
"mozilla-foundation/common_voice_17_0",
"hf-asr-leaderboard",
"ur",
"dataset:mozilla-foundation/common_voice_17_0",
"base_model:openai/whisper-base",
"base_model:finetune:openai/whisper-base",
"l... | automatic-speech-recognition | 2025-07-02T16:21:22Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Base Urdu ASR Model
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-bas... | [
{
"start": 888,
"end": 901,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.6966293454170227
},
{
"start": 1036,
"end": 1043,
"text": "epsilon",
"label": "evaluation metric",
"score": 0.684913158416748
}
] |
InternRobotics/InternVLA-A1-3B | InternRobotics | 2026-02-27T16:30:17Z | 107 | 39 | null | [
"safetensors",
"robotics",
"vision-language-action-model",
"dataset:InternRobotics/InternData-A1",
"arxiv:2601.02456",
"base_model:Qwen/Qwen3-VL-2B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-2B-Instruct",
"license:cc-by-nc-sa-4.0",
"region:us"
] | robotics | 2026-01-05T07:36:22Z | # InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation
<div style="display: flex; justify-content: center; align-items: center; margin: 10px 0;">
<img src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/teaser_internvla-a1.jpg" alt="Teaser Image" style="max-w... | [] |
grayarea/gemma-3-4b-it-heretic-v1.2-GGUF | grayarea | 2026-03-07T14:10:21Z | 700 | 1 | null | [
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"mpoa",
"base_model:grayarea/gemma-3-4b-it-heretic-v1.2",
"base_model:quantized:grayarea/gemma-3-4b-it-heretic-v1.2",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-05T18:04:31Z | ## KL Divergence
| Metric | This Model | Original Model |
| ------ | ---------- | -------------- |
| **KL divergence** | 0.0621 | 0 *(by definition)* |
| **Refusals** | 0/108 | 107/108 |
## Benchmark Comparison
| Benchmark | gemma-3-4b-it-Q8_0.gguf | gemma-3-4b-it-Q4_K_M.gguf | gemma-3-4b-it-heretic-v1.2-Q4_K_M.gguf ... | [
{
"start": 3,
"end": 16,
"text": "KL Divergence",
"label": "evaluation metric",
"score": 0.8135907649993896
},
{
"start": 103,
"end": 116,
"text": "KL divergence",
"label": "evaluation metric",
"score": 0.7396050691604614
},
{
"start": 574,
"end": 587,
"te... |
Skyline23/translategemma-4b-it-coreml | Skyline23 | 2026-03-09T14:00:40Z | 422 | 2 | coremltools | [
"coremltools",
"coreml",
"gemma3",
"gemma",
"translategemma",
"text-generation",
"conversational",
"base_model:google/translategemma-4b-it",
"base_model:quantized:google/translategemma-4b-it",
"license:gemma",
"region:us"
] | text-generation | 2026-03-02T18:56:25Z | # Stateful TranslateGemma 4B IT (Core ML)
Stateful Core ML export of `google/translategemma-4b-it` with KV-cache states for incremental decoding on Apple platforms.
## Included Files
- `StatefulTranslateGemma4BITFP16.mlpackage`
- `StatefulTranslateGemma4BITInt8PerChannel.mlpackage`
- `StatefulTranslateGemma4BITInt4P... | [] |
SeifElden2342532/children_educational_summarizer | SeifElden2342532 | 2026-03-21T09:04:06Z | 179 | 1 | transformers | [
"transformers",
"safetensors",
"bart",
"lora",
"peft",
"summarization",
"text2text-generation",
"fine-tuned",
"educational",
"base_model:facebook/bart-large-cnn",
"base_model:adapter:facebook/bart-large-cnn",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | summarization | 2026-03-21T09:01:00Z | # BART Summarizer — LoRA Fine-tuned on Lesson Texts
A LoRA fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) for abstractive summarization of educational and lesson texts. Only ~2.08% of parameters were trained using PEFT/LoRA, resulting in a lightweight adapter on top of ... | [] |
mradermacher/RoboInter-VLM-i1-GGUF | mradermacher | 2026-02-14T14:36:41Z | 305 | 2 | transformers | [
"transformers",
"gguf",
"robotics",
"vision-language-action-model",
"vision-language-model",
"en",
"base_model:InternRobotics/RoboInter-VLM",
"base_model:quantized:InternRobotics/RoboInter-VLM",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | robotics | 2026-02-14T13:32:28Z | ## 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": 620,
"end": 641,
"text": "RoboInter-VLM-i1-GGUF",
"label": "benchmark name",
"score": 0.6836551427841187
},
{
"start": 855,
"end": 873,
"text": "RoboInter-VLM-GGUF",
"label": "benchmark name",
"score": 0.6321595311164856
},
{
"start": 1338,
"end": 1... |
ibm-granite/granite-4.0-1b-base | ibm-granite | 2025-10-23T09:39:21Z | 1,270 | 31 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"granite-4.0",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-10-07T20:24:47Z | # Granite-4.0-1B-Base
**Model Summary:**
Granite-4.0-1B-Base is a lightweight decoder-only language model designed for scenarios where efficiency and speed are critical. They can run on resource-constrained devices such as smartphones or IoT hardware, enabling offline and privacy-preserving applications. It also sup... | [] |
AlexSychovUN/mini-roformer-ancient-rus-v2 | AlexSychovUN | 2026-03-06T06:49:20Z | 162 | 2 | null | [
"safetensors",
"roformer",
"masked-lm",
"ancient-russian",
"history",
"digital-humanities",
"text-restoration",
"ru",
"cu",
"license:mit",
"region:us"
] | null | 2026-03-05T19:02:09Z | # Ancient Russian RoFormer v2 (Text Restoration Model)
This model is designed for the **restoration and reconstruction of damaged Ancient Russian and Old Russian texts** (11th – 17th centuries). The model is based on the **RoFormer** architecture (using Rotary Position Embedding - RoPE), making it highly robust when w... | [] |
ainz/tiny-recursive-model | ainz | 2025-12-11T15:28:23Z | 135 | 4 | transformers | [
"transformers",
"safetensors",
"recursive_gpt",
"en",
"dataset:roneneldan/TinyStories",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-12-11T15:05:41Z | # Tiny Recursive Model (TRM)
A compact language model featuring a recursive architecture designed for efficient text generation. This model uses a custom `TinyRecursiveModel` class with a ~7M parameter logic core [1].
## Model Details
- **Model Type**: Causal Language Model with Custom Recursive Architecture
- **Par... | [] |
sphaela/gemma-4-26B-A4B-it-AutoRound-GGUF | sphaela | 2026-04-24T15:01:06Z | 1,348 | 3 | null | [
"gguf",
"auto-round",
"intel",
"quantization",
"vlm",
"multilingual",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:quantized:google/gemma-4-26B-A4B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-17T15:56:40Z | # Gemma-4-26B-A4B-it GGUF (AutoRound Quantized)
This repository contains GGUF quantized versions of [google/gemma-4-26B-A4B-it](https://huggingface.co/google/gemma-4-26B-A4B-it) created using Intel's [AutoRound](https://github.com/intel/auto-round) quantization method.
## Quantization Details
The models were quantiz... | [] |
city96/Qwen-Image-gguf | city96 | 2025-08-05T15:44:18Z | 21,396 | 284 | gguf | [
"gguf",
"text-to-image",
"en",
"zh",
"base_model:Qwen/Qwen-Image",
"base_model:quantized:Qwen/Qwen-Image",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-08-05T12:18:44Z | This is a direct GGUF conversion of [Qwen/Qwen-Image](https://huggingface.co/Qwen/Qwen-Image).
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 required model(s) in the following folders:
| Type ... | [] |
mradermacher/LatentDream-exp-beta-8b-i1-GGUF | mradermacher | 2025-12-23T04:28:54Z | 383 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Entropicengine/LatentDream-exp-beta-8b",
"base_model:quantized:Entropicengine/LatentDream-exp-beta-8b",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-30T16:08:33Z | ## 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": 469,
"end": 492,
"text": "LatentDream-exp-beta-8b",
"label": "benchmark name",
"score": 0.684060275554657
},
{
"start": 629,
"end": 660,
"text": "LatentDream-exp-beta-8b-i1-GGUF",
"label": "benchmark name",
"score": 0.7811919450759888
},
{
"start": 734,... |
mradermacher/DeepCaption-VLA-7B-GGUF | mradermacher | 2025-09-10T17:33:26Z | 126 | 4 | transformers | [
"transformers",
"gguf",
"trl",
"VisionLanguageAttribution",
"VisualUnderstanding",
"text-generation-inference",
"AttributeCaptioning",
"VLA",
"High-Fidelity",
"en",
"dataset:prithivMLmods/blip3o-caption-mini-arrow",
"dataset:prithivMLmods/Caption3o-Opt-v3",
"dataset:prithivMLmods/Caption3o-O... | null | 2025-08-29T15:52:16Z | ## 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 qu... | [] |
InstantX/FLUX.1-dev-IP-Adapter | InstantX | 2024-11-23T06:49:02Z | 8,158 | 320 | diffusers | [
"diffusers",
"Text-to-Image",
"IP-Adapter",
"Flux.1-dev",
"image-generation",
"Stable Diffusion",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:finetune:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2024-08-14T10:16:54Z | # FLUX.1-dev-IP-Adapter
This repository contains a IP-Adapter for FLUX.1-dev model released by researchers from [InstantX Team](https://huggingface.co/InstantX), where image work just like text, so it may not be responsive or interfere with other text, but we do hope you enjoy this model, have fun and share your creat... | [] |
DavidAU/Qwen3-30B-A1.5B-64K-High-Speed-NEO-Imatrix-MAX-gguf | DavidAU | 2026-04-28T05:03:53Z | 652 | 26 | transformers | [
"transformers",
"gguf",
"64k context",
"high speed",
"all use cases",
"creative",
"creative writing",
"all genres",
"tool calls",
"tool use",
"problem solving",
"deep thinking",
"reasoning",
"deep reasoning",
"story",
"qwen3_moe",
"writing",
"fiction",
"roleplaying",
"bfloat16"... | text-generation | 2025-05-11T11:21:37Z | <small><B>Special note:</B> All quants of this model can be used on GPU and/or CPU/RAM only due to unique construction of the model. There are also several
versions of quant sizes with special features too.</small>
<h2>Qwen3-30B-A1.5B-64K-High-Speed-NEO-Imatrix-MAX-gguf - AKA: "Punch IT!"</h2>
<img src="star-wars-han... | [] |
dicta-il/neodictabert-bilingual | dicta-il | 2025-11-09T18:22:59Z | 406 | 2 | null | [
"safetensors",
"neobert",
"custom_code",
"he",
"en",
"arxiv:2510.20386",
"license:cc-by-4.0",
"region:us"
] | null | 2025-10-14T23:15:28Z | # NeoDictaBERT-bilingual: Pushing the Frontier of BERT models in Hebrew
Following the success of [ModernBERT](https://huggingface.co/blog/modernbert) and [NeoBERT](https://huggingface.co/chandar-lab/NeoBERT), we set out to train a Hebrew version of NeoBERT.
Introducing **NeoDictaBERT-bilingual**: A Next-Generation B... | [
{
"start": 2,
"end": 24,
"text": "NeoDictaBERT-bilingual",
"label": "benchmark name",
"score": 0.7959619760513306
},
{
"start": 99,
"end": 109,
"text": "ModernBERT",
"label": "benchmark name",
"score": 0.8697840571403503
},
{
"start": 139,
"end": 149,
"tex... |
mradermacher/GPT-OSS-20B-HESOYAM-1108-WIP-CHATML-i1-GGUF | mradermacher | 2025-12-09T03:23:15Z | 2,722 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:adamo1139/HESOYAM_v0.4",
"base_model:adamo1139/GPT-OSS-20B-HESOYAM-1108-WIP-CHATML",
"base_model:quantized:adamo1139/GPT-OSS-20B-HESOYAM-1108-WIP-CHATML",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-13T18:35:26Z | ## 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... | [] |
OpenMOSS-Team/MOSS-VL-Base-0408 | OpenMOSS-Team | 2026-04-23T03:23:50Z | 272 | 58 | transformers | [
"transformers",
"safetensors",
"moss_vl",
"feature-extraction",
"Base",
"Video-Understanding",
"Image-Understanding",
"MOSS-VL",
"OpenMOSS",
"multimodal",
"video",
"vision-language",
"video-text-to-text",
"custom_code",
"en",
"license:apache-2.0",
"region:us"
] | video-text-to-text | 2026-04-07T15:28:09Z | <p align="center">
<img src="assets/logo.png" width="320"/>
</p>
# MOSS-VL-Base-0408
## 📌 Introduction
MOSS-VL-Base-0408 is the foundation checkpoint of the MOSS-VL series, part of the OpenMOSS ecosystem dedicated to advancing visual understanding.
Built through four stages of multimodal pretraining only, this ... | [] |
baidu/ERNIE-4.5-300B-A47B-PT | baidu | 2025-11-26T07:52:13Z | 576 | 75 | transformers | [
"transformers",
"safetensors",
"ernie4_5_moe",
"text-generation",
"ERNIE4.5",
"conversational",
"en",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-06-28T05:38:53Z | <div align="center" style="line-height: 1;">
<a href="https://ernie.baidu.com/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖_Chat-ERNIE_Bot-blue" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://huggingface.co/baidu" target="_blank" s... | [] |
sewoong/korean-neural-sparse-encoder | sewoong | 2026-03-09T03:38:07Z | 149 | 2 | transformers | [
"transformers",
"safetensors",
"modernbert",
"fill-mask",
"neural-sparse",
"splade",
"opensearch",
"korean",
"information-retrieval",
"e-commerce",
"ko",
"base_model:skt/A.X-Encoder-base",
"base_model:finetune:skt/A.X-Encoder-base",
"license:apache-2.0",
"endpoints_compatible",
"region... | fill-mask | 2026-01-09T01:01:29Z | # Korean Neural Sparse Encoder (V33-ecom-v6)
SPLADEModernBERT sparse retrieval model for Korean, fine-tuned for e-commerce product search.
## Model Details
- **Architecture**: SPLADE-max (MLM → log(1+ReLU) → max pool)
- **Backbone**: skt/A.X-Encoder-base (ModernBERT, 149M params)
- **Vocab**: 50K tokens (48.4% Korea... | [
{
"start": 734,
"end": 738,
"text": "BM25",
"label": "benchmark name",
"score": 0.6538342237472534
},
{
"start": 754,
"end": 765,
"text": "V33-ecom-v6",
"label": "benchmark name",
"score": 0.6300007700920105
}
] |
nvidia/GEN3C-Cosmos-7B | nvidia | 2025-06-18T14:44:36Z | 210 | 29 | null | [
"arxiv:2503.03751",
"region:us"
] | null | 2025-05-21T19:15:04Z | # GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control
CVPR 2025 (Highlight)
[Xuanchi Ren*](https://xuanchiren.com/),
[Tianchang Shen*](https://www.cs.toronto.edu/~shenti11/)
[Jiahui Huang](https://huangjh-pub.github.io/),
[Huan Ling](https://www.cs.toronto.edu/~linghuan/),
[Yifan Lu](https... | [] |
mingyi456/Z-Image-Turbo-Misc-Finetunes-DF11-ComfyUI | mingyi456 | 2026-04-16T17:22:12Z | 1,114 | 8 | diffusion-single-file | [
"diffusion-single-file",
"comfyui",
"text-to-image",
"en",
"zh",
"base_model:Tongyi-MAI/Z-Image-Turbo",
"base_model:finetune:Tongyi-MAI/Z-Image-Turbo",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-12-24T16:25:19Z | These are DF11 conversions of various Z-Image Turbo finetunes which I cannot find the corresponding source repo on Hugging Face.
| Filename | Link to source model |
|----------|----------|
| redcraftRedzimageUpdatedDEC03_redzimage15AIO-DF11.safetensors | https://civitai.com/models/958009?modelVersionId=2462789 |
| dar... | [] |
TencentARC/TimeLens-8B | TencentARC | 2026-04-21T08:42:41Z | 9,346 | 10 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"video-grounding",
"temporal-grounding",
"video-understanding",
"qwen3-vl",
"video-text-to-text",
"en",
"dataset:TencentARC/TimeLens-100K",
"dataset:TencentARC/TimeLens-Bench",
"arxiv:2512.14698",
"base_model:Qwen/Qwen3-VL-8B... | video-text-to-text | 2025-12-16T17:49:13Z | # TimeLens-8B
📑 [**Paper**](https://arxiv.org/abs/2512.14698) | 💻 [**Code**](https://github.com/TencentARC/TimeLens) | 🏠 [**Project Page**](https://timelens-arc-lab.github.io/) | 🤗 [**Model & Data**](https://huggingface.co/collections/TencentARC/timelens)
## ✨ Model Description
**TimeLens-8B** is an MLLM with s... | [] |
mradermacher/Huihui-Orchestrator-8B-abliterated-i1-GGUF | mradermacher | 2025-12-05T04:02:57Z | 1,601 | 1 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Orchestrator-8B-abliterated",
"base_model:quantized:huihui-ai/Huihui-Orchestrator-8B-abliterated",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-01T03:52:48Z | ## 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_... | [] |
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