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 |
|---|---|---|---|---|---|---|---|---|---|---|
inferencerlabs/GLM-5-MLX-4.8bit | inferencerlabs | 2026-02-26T04:24:51Z | 3,505 | 10 | mlx | [
"mlx",
"safetensors",
"glm_moe_dsa",
"quantized",
"text-generation",
"conversational",
"en",
"base_model:zai-org/GLM-5",
"base_model:quantized:zai-org/GLM-5",
"6-bit",
"region:us"
] | text-generation | 2026-02-12T00:07:33Z | **See GLM-5 MLX in action - [demonstration video](https://youtu.be/3XCYruBYr-0)**
#### Tested on a M3 Ultra 512GB RAM using [Inferencer app v1.10](https://inferencer.com)
- Single inference ~16.6 tokens/s @ 1000 tokens
- Batched inference ~31.8 total tokens/s across six inferences
- Memory usage: ~417 GiB
*q4.8bit qu... | [
{
"start": 349,
"end": 359,
"text": "perplexity",
"label": "evaluation metric",
"score": 0.6091575026512146
},
{
"start": 397,
"end": 407,
"text": "Perplexity",
"label": "evaluation metric",
"score": 0.7725199460983276
},
{
"start": 410,
"end": 424,
"text"... |
brittlewis12/Kunoichi-DPO-v2-7B-GGUF | brittlewis12 | 2024-05-02T19:16:54Z | 2,055 | 84 | null | [
"gguf",
"text-generation",
"en",
"base_model:SanjiWatsuki/Kunoichi-DPO-v2-7B",
"base_model:quantized:SanjiWatsuki/Kunoichi-DPO-v2-7B",
"license:cc-by-nc-4.0",
"region:us"
] | text-generation | 2024-01-16T16:33:41Z | # Kunoichi-DPO-v2-7B GGUF
Original model: [Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
Model creator: [SanjiWatsuki](https://huggingface.co/SanjiWatsuki)
This repo contains GGUF format mod... | [] |
vanta-research/PE-Type-3-Nova-4B | vanta-research | 2026-03-01T21:16:00Z | 104 | 2 | transformers | [
"transformers",
"safetensors",
"gguf",
"gemma3",
"image-text-to-text",
"google",
"gemma",
"deepmind",
"ai-persona",
"large-language-model",
"enneagram",
"psychology",
"persona",
"research-model",
"roleplay",
"chat-llm",
"text-generation-inference",
"vanta-research",
"cognitive-al... | image-text-to-text | 2026-02-05T06:10:04Z | <div align="center">
<h1>VANTA Research</h1>
<p><strong>Independent AI research lab building safe, resilient language models optimized for human-AI collaboration</strong></p>
<p>
... | [] |
BAAI/bge-en-icl | BAAI | 2025-01-15T02:43:23Z | 2,019 | 135 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"mistral",
"feature-extraction",
"sentence-similarity",
"transformers",
"mteb",
"arxiv:2409.15700",
"arxiv:2309.07597",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | feature-extraction | 2024-07-25T09:37:34Z | <h1 align="center">FlagEmbedding</h1>
For more details please refer to our Github: [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding).
**BGE-EN-ICL** primarily demonstrates the following capabilities:
- In-context learning ability: By providing few-shot examples in the query, it can significantly enhance t... | [
{
"start": 454,
"end": 458,
"text": "BEIR",
"label": "benchmark name",
"score": 0.7191131114959717
},
{
"start": 463,
"end": 472,
"text": "AIR-Bench",
"label": "benchmark name",
"score": 0.832603931427002
},
{
"start": 613,
"end": 623,
"text": "BGE-EN-ICL"... |
ibm-granite/granite-embedding-107m-multilingual | ibm-granite | 2025-08-19T01:34:26Z | 34,751 | 49 | transformers | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"xlm-roberta",
"feature-extraction",
"language",
"granite",
"embeddings",
"multilingual",
"mteb",
"sentence-similarity",
"en",
"ar",
"cs",
"de",
"es",
"fr",
"it",
"ja",
"ko",
"nl",
"pt",
"zh",
"arxiv:2502.20204",
"ar... | sentence-similarity | 2024-12-04T20:29:00Z | # Granite-Embedding-107m-multilingual
**Model Summary:**
Granite-Embedding-107M-Multilingual is a 107M parameter dense biencoder embedding model from the Granite Embeddings suite that can be used to generate high quality text embeddings. This model produces embedding vectors of size 384 and is trained using a combinat... | [] |
Qwen/Qwen3-14B-MLX-4bit | Qwen | 2025-07-07T08:50:10Z | 899 | 10 | mlx | [
"mlx",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-14B-Base",
"base_model:quantized:Qwen/Qwen3-14B-Base",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2025-05-23T23:59:12Z | # Qwen3-14B-MLX-4bit
<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 lan... | [] |
hkunlp/instructor-large | hkunlp | 2023-04-21T06:04:33Z | 227,222 | 524 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"t5",
"text-embedding",
"embeddings",
"information-retrieval",
"beir",
"text-classification",
"language-model",
"text-clustering",
"text-semantic-similarity",
"text-evaluation",
"prompt-retrieval",
"text-reranking",
"feature-extraction",
"sentence-si... | sentence-similarity | 2022-12-20T05:31:06Z | # hkunlp/instructor-large
We introduce **Instructor**👨🏫, an instruction-finetuned text embedding model that can generate text embeddings tailored to any task (e.g., classification, retrieval, clustering, text evaluation, etc.) and domains (e.g., science, finance, etc.) ***by simply providing the task instruction, wi... | [
{
"start": 402,
"end": 418,
"text": "MTEB leaderboard",
"label": "benchmark name",
"score": 0.6918585896492004
}
] |
mradermacher/DeepSeek-R1-Distill-Qwen-14B-heretic-i1-GGUF | mradermacher | 2026-03-02T20:59:20Z | 5,156 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:blackbook-lm/DeepSeek-R1-Distill-Qwen-14B-heretic",
"base_model:quantized:blackbook-lm/DeepSeek-R1-Distill-Qwen-14B-heretic",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conv... | null | 2026-03-02T11:59:53Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 641,
"end": 685,
"text": "DeepSeek-R1-Distill-Qwen-14B-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6122236847877502
}
] |
microsoft/Phi-3-mini-4k-instruct-onnx | microsoft | 2025-12-10T21:04:48Z | 320 | 145 | transformers | [
"transformers",
"onnx",
"phi3",
"text-generation",
"ONNX",
"DML",
"ONNXRuntime",
"nlp",
"conversational",
"custom_code",
"arxiv:2306.00978",
"license:mit",
"region:us"
] | text-generation | 2024-04-23T02:19:22Z | # Phi-3 Mini-4K-Instruct ONNX models
<!-- Provide a quick summary of what the model is/does. -->
This repository hosts the optimized versions of [Phi-3-mini-4k-instruct](https://aka.ms/phi3-mini-4k-instruct) to accelerate inference with ONNX Runtime.
Phi-3 Mini is a lightweight, state-of-the-art open model built upon... | [] |
Intel/sd-1.5-square-quantized | Intel | 2025-12-29T19:50:16Z | 2,943 | 3 | null | [
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"license:creativeml-openrail-m",
"region:us"
] | null | 2025-12-29T19:31:10Z | # SD v1-5 square Model Card
The original source of this model is : [runwayml/stable-diffusion-v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5).
This model is just optimized and converted to Intermediate Representation (IR) using OpenVino's Model Optimizer and POT tool to run on Intel's Hardware - CPU, GPU,... | [] |
stepfun-ai/Step-Audio-EditX | stepfun-ai | 2026-02-14T09:34:10Z | 17,848 | 114 | null | [
"onnx",
"safetensors",
"step1",
"custom_code",
"arxiv:2511.03601",
"region:us"
] | null | 2025-10-29T11:53:19Z | # Step-Audio-EditX
<p align="center">
<img src="assets/logo.png" height=100>
</p>
<div align="center">
<a href="https://stepaudiollm.github.io/step-audio-editx/"><img src="https://img.shields.io/static/v1?label=Demo%20Page&message=Web&color=green"></a>  
<a href="https://arxiv.org/abs/2511.03601"><img sr... | [] |
mradermacher/Gemma-3n-4b-Vision-Finetuned-i1-GGUF | mradermacher | 2026-01-17T15:39:46Z | 145 | 2 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"gemma3n",
"en",
"base_model:Aasher/Gemma-3n-4b-Vision-Finetuned",
"base_model:quantized:Aasher/Gemma-3n-4b-Vision-Finetuned",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-26T07:05:02Z | ## 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": 627,
"end": 663,
"text": "Gemma-3n-4b-Vision-Finetuned-i1-GGUF",
"label": "benchmark name",
"score": 0.6360005140304565
}
] |
allenai/Bolmo-7B | allenai | 2025-12-22T19:06:02Z | 2,287 | 55 | transformers | [
"transformers",
"safetensors",
"bolmo",
"text-generation",
"custom_code",
"en",
"dataset:allenai/bolmo_mix",
"arxiv:2512.15586",
"base_model:allenai/Olmo-3-1025-7B",
"base_model:finetune:allenai/Olmo-3-1025-7B",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-12-13T14:25:25Z | # Bolmo 7B
We introduce **Bolmo**, the first family of competitive fully open byte-level language models (LMs) at the 1B and 7B parameter scales.
These models are *byteified* using a short additional training procedure which starts from pretrained models in the Olmo series.
We are releasing all code, checkpoints, an... | [] |
AIDC-AI/Ovis2.5-2B | AIDC-AI | 2026-02-13T03:18:04Z | 108,934 | 200 | transformers | [
"transformers",
"safetensors",
"ovis2_5",
"text-generation",
"MLLM",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"zh",
"dataset:AIDC-AI/Ovis-dataset",
"arxiv:2508.11737",
"arxiv:2405.20797",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2025-08-15T05:53:42Z | # Ovis2.5-2B
<div align="center">
<img src=https://cdn-uploads.huggingface.co/production/uploads/637aebed7ce76c3b834cea37/3IK823BZ8w-mz_QfeYkDn.png width="30%"/>
</div>
<p align="center">
<a href="https://arxiv.org/abs/2508.11737"><img src="https://img.shields.io/badge/📖_Technical_Report-Ovis2.5-b31b1b.svg" alt="... | [] |
DavidAU/Mistral-Nemo-Instruct-2407-13.35B-BRAINSTORM-5x-FORM-11-GGUF | DavidAU | 2025-07-28T00:36:26Z | 473 | 8 | null | [
"gguf",
"creative",
"story",
"writing",
"fiction",
"roleplaying",
"rp",
"horror",
"Instruct",
"science fiction",
"fiction writing",
"scene generation",
"scene continue",
"brainstorm 5x",
"enhanced",
"Mistral-Nemo-Instruct",
"Mistral",
"text-generation",
"en",
"arxiv:2401.02415"... | text-generation | 2024-08-01T07:17:55Z | <H3>BRAINSTORM 5x: Mistral-Nemo-Instruct-2407-12B (now at 13.35B), Formula #11 </H3>
This repo contains quants 5x of Mistral-Nemo-Instruct-2407-12B (now at 13.35B) with max context of 1 million tokens using the "Brainstorm" method of augmenting reasoning in a LLM
to increase it's performance at the core level for ANY ... | [] |
mradermacher/Sugoi-14B-Ultra-HF-GGUF | mradermacher | 2025-08-25T06:11:59Z | 100 | 2 | transformers | [
"transformers",
"gguf",
"translation",
"ja",
"en",
"base_model:sugoitoolkit/Sugoi-14B-Ultra-HF",
"base_model:quantized:sugoitoolkit/Sugoi-14B-Ultra-HF",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | translation | 2025-08-24T17:58:24Z | ## 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 qu... | [] |
mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF | mradermacher | 2025-08-16T21:20:25Z | 272 | 2 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"uncensored",
"image-captioning",
"vlm",
"visual-understanding",
"caption",
"image-to-text",
"en",
"base_model:prithivMLmods/Qwen2.5-VL-3B-Abliterated-Caption-it",
"base_model:quantized:prithivMLmods/Qwen2.5-VL-3B-Abliterated-Caption-it",
... | image-to-text | 2025-08-16T16:57:12Z | ## 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... | [] |
Wan-AI/Wan2.2-TI2V-5B | Wan-AI | 2025-08-07T10:22:24Z | 5,024 | 545 | wan2.2 | [
"wan2.2",
"diffusers",
"safetensors",
"ti2v",
"text-to-video",
"en",
"zh",
"arxiv:2503.20314",
"license:apache-2.0",
"region:us"
] | text-to-video | 2025-07-18T09:35:44Z | # Wan2.2
<p align="center">
<img src="assets/logo.png" width="400"/>
<p>
<p align="center">
💜 <a href="https://wan.video"><b>Wan</b></a>    ｜    🖥️ <a href="https://github.com/Wan-Video/Wan2.2">GitHub</a>    |   🤗 <a href="https://huggingface.co/Wan-AI/">Hugging Face</a>&nb... | [] |
Norquinal/Mistral-7B-claude-instruct | Norquinal | 2023-11-17T21:09:39Z | 744 | 5 | transformers | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"dataset:Norquinal/claude_multi_instruct_1k",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-09-28T23:39:50Z | This is the [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) model fine-tuned using QLoRA (4-bit precision) on my [claude_multi_instruct_1k](https://huggingface.co/datasets/Norquinal/claude_multi_instruct_1k) dataset.
## Prompt Format
The model was finetuned with the following prompt format:
```
Bel... | [] |
bartowski/Phi-3.1-mini-4k-instruct-GGUF | bartowski | 2024-08-03T22:54:40Z | 3,542 | 44 | null | [
"gguf",
"nlp",
"code",
"text-generation",
"en",
"base_model:microsoft/Phi-3-mini-4k-instruct",
"base_model:quantized:microsoft/Phi-3-mini-4k-instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-07-02T13:13:22Z | ## Llamacpp imatrix Quantizations of Phi-3.1-mini-4k-instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3460">b3460</a> for quantization.
Original model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
All quant... | [] |
mradermacher/Impish_LLAMA_4B-i1-GGUF | mradermacher | 2025-12-23T04:39:41Z | 125 | 2 | transformers | [
"transformers",
"gguf",
"en",
"dataset:SicariusSicariiStuff/UBW_Tapestries",
"base_model:SicariusSicariiStuff/Impish_LLAMA_4B",
"base_model:quantized:SicariusSicariiStuff/Impish_LLAMA_4B",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-29T00:14:22Z | ## 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": 627,
"end": 650,
"text": "Impish_LLAMA_4B-i1-GGUF",
"label": "benchmark name",
"score": 0.6914336085319519
},
{
"start": 1205,
"end": 1228,
"text": "Impish_LLAMA_4B-i1-GGUF",
"label": "benchmark name",
"score": 0.6415876150131226
},
{
"start": 1242,
... |
0xdfi/Qwen3.5-35B-A3B-REAP-pile10k-15p-MLX-q8 | 0xdfi | 2026-03-12T14:16:05Z | 565 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"qwen",
"mixture-of-experts",
"moe",
"reap",
"cerebras-reap",
"static-pruning",
"apple-silicon",
"quantized",
"q8",
"text-generation",
"conversational",
"en",
"dataset:NeelNanda/pile-10k",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized... | text-generation | 2026-03-12T04:54:16Z | # Qwen3.5-35B-A3B-REAP-pile10k-15p-MLX-q8
This repository contains a **static REAP-pruned MLX checkpoint** derived from **Qwen/Qwen3.5-35B-A3B** and quantized to **q8**.
## Original Model Lineage
- Original upstream model: [Qwen/Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B)
- MLX bf16 source checkpoi... | [] |
mradermacher/Qwen3-VL-8B-Instruct-c_abliterated-v3-i1-GGUF | mradermacher | 2026-02-12T18:28:00Z | 337 | 2 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"c_abliterated",
"v3.0",
"code",
"refusal",
"en",
"base_model:prithivMLmods/Qwen3-VL-8B-Instruct-c_abliterated-v3",
"base_model:quantized:prithivMLmods/Qwen3-VL-8B-Instruct-c_abliterated-v3",
"license:apache-2.0",
"endpoints_compatible",
"... | null | 2026-02-12T06:49:47Z | ## 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_... | [] |
hossam87/bert-base-arabic-hate-speech | hossam87 | 2025-07-21T00:22:19Z | 230 | 2 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"hate-speech",
"arabic",
"classification",
"social-media",
"moderation",
"ar",
"dataset:IbrahimAmin/egyptian-arabic-hate-speech",
"base_model:CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment",
"base_model:finetune:CAMeL-Lab/bert-... | text-classification | 2025-07-20T19:39:13Z | # Model Card for hossam87/bert-base-arabic-hate-speech
A fine-tuned BERT model to classify Arabic text into: Neutral, Offensive, Sexism, Religious Discrimination, or Racism.
---
## Model Details
### Model Description
This model is based on `bert-base-multilingual-cased` and fine-tuned on an Arabic social media dat... | [] |
Unbabel/M-Prometheus-14B | Unbabel | 2025-05-06T01:34:50Z | 267 | 10 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:2504.04953",
"base_model:Qwen/Qwen2.5-14B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-14B-Instruct",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-07T11:01:25Z | <!-- 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. -->
# M-Prometheus
M-Prometheus is a suite of open LLM judges that can natively evaluate multilingual outputs. They were trained on 480... | [
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"end": 202,
"text": "M-Prometheus",
"label": "benchmark name",
"score": 0.8059093356132507
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{
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"end": 216,
"text": "M-Prometheus",
"label": "benchmark name",
"score": 0.8151921033859253
},
{
"start": 1704,
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"text"... |
SG161222/RealVisXL_V5.0 | SG161222 | 2024-10-08T16:34:25Z | 90,323 | 144 | diffusers | [
"diffusers",
"safetensors",
"license:openrail++",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | 2024-08-05T03:49:17Z | <strong>Check my exclusive models on Mage: </strong><a href="https://www.mage.space/play/4371756b27bf52e7a1146dc6fe2d969c" rel="noopener noreferrer nofollow"><strong>ParagonXL</strong></a><strong> / </strong><a href="https://www.mage.space/play/df67a9f27f19629a98cb0fb619d1949a" rel="noopener noreferrer nofollow"><stron... | [] |
unsloth/gemma-2-it-GGUF | unsloth | 2024-07-31T19:32:44Z | 994 | 28 | transformers | [
"transformers",
"gguf",
"gemma2",
"text-generation",
"unsloth",
"gemma",
"en",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-07-31T16:31:07Z | # GGUF uploads
All popular quant variants uploaded.
# Finetune Gemma 2, Llama 3.1, Mistral 2-5x faster with 70% less memory via Unsloth!
Directly quantized 4bit model with `bitsandbytes`.
We have a Google Colab Tesla T4 notebook for **Gemma 2 (2B)** here: https://colab.research.google.com/drive/1weTpKOjBZxZJ5PQ-Ql8... | [] |
tiiuae/falcon-mamba-7b | tiiuae | 2024-12-17T11:10:58Z | 29,489 | 242 | transformers | [
"transformers",
"safetensors",
"falcon_mamba",
"text-generation",
"en",
"dataset:tiiuae/falcon-refinedweb",
"dataset:HuggingFaceFW/fineweb-edu",
"arxiv:2312.00752",
"arxiv:2410.05355",
"license:other",
"model-index",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-17T07:06:26Z | <img src="https://huggingface.co/datasets/tiiuae/documentation-images/resolve/main/falcon_mamba/thumbnail.png" alt="drawing" width="800"/>
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3. [Training Details](#training-details)
4. [Evaluation](#evaluation)
# TL;DR
# Mo... | [] |
unsloth/Llama-3.2-11B-Vision | unsloth | 2024-11-22T06:58:05Z | 425 | 35 | transformers | [
"transformers",
"safetensors",
"mllama",
"image-text-to-text",
"llama-3",
"llama",
"meta",
"facebook",
"unsloth",
"multimodal",
"vision",
"en",
"base_model:meta-llama/Llama-3.2-11B-Vision",
"base_model:finetune:meta-llama/Llama-3.2-11B-Vision",
"license:llama3.2",
"text-generation-infe... | image-text-to-text | 2024-09-25T19:28:57Z | # Finetune Llama 3.2, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 notebook for Llama 3.2 Vision (11B) here: https://colab.research.google.com/drive/1j0N4XTY1zXXy7mPAhOC1_gMYZ2F2EBlk?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/... | [] |
DavidAU/OpenAi-GPT-oss-20b-abliterated-uncensored-NEO-Imatrix-gguf | DavidAU | 2025-11-17T08:20:27Z | 66,620 | 467 | null | [
"gguf",
"gpt_oss",
"gpt-oss",
"openai",
"mxfp4",
"programming",
"code generation",
"code",
"coding",
"coder",
"chat",
"reasoning",
"thinking",
"r1",
"cot",
"deepseek",
"128k context",
"general usage",
"problem solving",
"brainstorming",
"solve riddles",
"uncensored",
"abl... | text-generation | 2025-08-07T22:20:03Z | <small><font color="red">Specialized uncensored/abliterated quants for new OpenAI 20B MOE - Mixture of Experts Model at 80+ T/S. See settings and special instructions for using abliterated models below.</font></small>
NEW! - HERETIC, uncensored version is here:
[ https://huggingface.co/DavidAU/OpenAi-GPT-oss-20b-HERE... | [] |
Skywork/Skywork-SWE-32B | Skywork | 2025-06-27T07:01:09Z | 376 | 79 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"swe-bench",
"conversational",
"arxiv:2506.19290",
"base_model:Qwen/Qwen2.5-Coder-32B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Coder-32B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"regio... | text-generation | 2025-06-11T06:21:51Z | # Skywork-SWE
📖 [Technical Report](https://www.arxiv.org/pdf/2506.19290) | 📰 [Blog](https://quixotic-sting-239.notion.site/eb17f379610040ceb54da5d5d24065bd)
## Model Introduction
***Skywork-... | [
{
"start": 310,
"end": 325,
"text": "Skywork-SWE-32B",
"label": "benchmark name",
"score": 0.6710373163223267
},
{
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"end": 543,
"text": "Skywork-SWE-32B",
"label": "benchmark name",
"score": 0.7114270329475403
},
{
"start": 1513,
"end": 1528,
... |
OpenGVLab/InternVL3_5-14B-Instruct | OpenGVLab | 2025-08-29T17:57:06Z | 1,354 | 8 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.1... | image-text-to-text | 2025-08-25T16:38:48Z | # InternVL3_5-14B-Instruct
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://huggingf... | [] |
jc-builds/smolvlm2-500m-gguf | jc-builds | 2026-01-15T05:15:57Z | 147 | 2 | null | [
"gguf",
"quantized",
"llama.cpp",
"vlm",
"vision-language",
"ios",
"mobile",
"edge",
"multimodal",
"image-text-to-text",
"base_model:HuggingFaceTB/SmolVLM2-500M-Video-Instruct",
"base_model:quantized:HuggingFaceTB/SmolVLM2-500M-Video-Instruct",
"license:apache-2.0",
"endpoints_compatible",... | image-text-to-text | 2025-12-28T20:23:49Z | # SmolVLM2-500M GGUF
This is a **GGUF conversion** of [HuggingFaceTB/SmolVLM2-500M-Video-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM2-500M-Video-Instruct) - a compact Vision-Language Model optimized for on-device inference with llama.cpp.
## Model Details
| Property | Value |
|----------|-------|
| **Orig... | [] |
Marvis-AI/marvis-tts-250m-v0.2 | Marvis-AI | 2025-11-06T20:48:48Z | 1,877 | 13 | transformers | [
"transformers",
"safetensors",
"csm",
"text-to-audio",
"mlx",
"mlx-audio",
"en",
"fr",
"de",
"dataset:amphion/Emilia-Dataset",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-to-audio | 2025-10-19T01:38:48Z | # Introduction
[[code](https://github.com/Marvis-Labs/marvis-tts)]
Marvis is a cutting-edge conversational speech model designed to enable real-time streaming text-to-speech synthesis. Built with efficiency and accessibility in mind, Marvis addresses the growing need for high-quality, real-time voice synthesis that ca... | [] |
mlx-community/VibeThinker-1.5B-mlx-4bit | mlx-community | 2025-11-19T16:45:18Z | 158 | 24 | mlx | [
"mlx",
"safetensors",
"qwen2",
"math",
"code",
"gpqa",
"text-generation",
"conversational",
"en",
"arxiv:2511.06221",
"base_model:WeiboAI/VibeThinker-1.5B",
"base_model:quantized:WeiboAI/VibeThinker-1.5B",
"license:mit",
"4-bit",
"region:us"
] | text-generation | 2025-11-19T15:56:03Z | # VibeThinker-1.5B-mlx-4bit
This is a 4-bit quantized version of the [VibeThinker-1.5B](https://huggingface.co/WeiboAI/VibeThinker-1.5B) model, optimized for Apple Silicon using the [MLX framework](https://github.com/ml-explore/mlx).
## Model Details
- **Original Model**: [WeiboAI/VibeThinker-1.5B](https://huggingfac... | [] |
mradermacher/Qwen2.5-7B-Kids-SciFi-GGUF | mradermacher | 2026-04-02T02:13:10Z | 466 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:wuweidedaxiongmao/kids-scifi-writer-dataset",
"base_model:wuweidedaxiongmao/Qwen2.5-7B-Kids-SciFi",
"base_model:quantized:wuweidedaxiongmao/Qwen2.5-7B-Kids-SciFi",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-17T19:40:38Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 528,
"end": 554,
"text": "Qwen2.5-7B-Kids-SciFi-GGUF",
"label": "benchmark name",
"score": 0.6025834679603577
}
] |
mradermacher/Qwen3.5-27B-Deckard-PKD-Heretic-Uncensored-Thinking-i1-GGUF | mradermacher | 2026-03-14T08:53:38Z | 9,168 | 3 | transformers | [
"transformers",
"gguf",
"unsloth",
"heretic",
"uncensored",
"abliterated",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
... | null | 2026-03-14T06:59:51Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 651,
"end": 710,
"text": "Qwen3.5-27B-Deckard-PKD-Heretic-Uncensored-Thinking-i1-GGUF",
"label": "benchmark name",
"score": 0.6949372291564941
},
{
"start": 784,
"end": 840,
"text": "Qwen3.5-27B-Deckard-PKD-Heretic-Uncensored-Thinking-GGUF",
"label": "benchmark nam... |
nvidia/AceMath-7B-RM | nvidia | 2025-01-17T07:31:32Z | 2,585 | 7 | null | [
"safetensors",
"qwen2",
"nvidia",
"AceMath",
"math",
"pytorch",
"text-generation",
"conversational",
"en",
"arxiv:2412.15084",
"license:cc-by-nc-4.0",
"region:us"
] | text-generation | 2025-01-14T04:55:30Z | ## Introduction
We introduce AceMath, a family of frontier models designed for mathematical reasoning. The models in AceMath family, including AceMath-1.5B/7B/72B-Instruct and AceMath-7B/72B-RM, are <b>Improved using Qwen</b>.
The AceMath-1.5B/7B/72B-Instruct models excel at solving English mathematical problems using... | [
{
"start": 608,
"end": 626,
"text": "Bradley-Terry loss",
"label": "evaluation metric",
"score": 0.8696529269218445
},
{
"start": 770,
"end": 782,
"text": "scalar score",
"label": "evaluation metric",
"score": 0.8531012535095215
}
] |
mradermacher/Qwen3.5-4B-Claude-4.6-HighIQ-THINKING-i1-GGUF | mradermacher | 2026-03-15T16:00:06Z | 993 | 5 | transformers | [
"transformers",
"gguf",
"unsloth",
"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",
"viv... | null | 2026-03-15T15:40:49Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 463,
"end": 500,
"text": "Qwen3.5-4B-Claude-4.6-HighIQ-THINKING",
"label": "benchmark name",
"score": 0.7025211453437805
},
{
"start": 637,
"end": 682,
"text": "Qwen3.5-4B-Claude-4.6-HighIQ-THINKING-i1-GGUF",
"label": "benchmark name",
"score": 0.76636582612991... |
meituan-longcat/LongCat-Video | meituan-longcat | 2025-10-29T06:22:46Z | 732 | 450 | diffusers | [
"diffusers",
"safetensors",
"transformers",
"image-to-video",
"video-continuation",
"text-to-video",
"en",
"zh",
"arxiv:2510.22200",
"license:mit",
"region:us"
] | text-to-video | 2025-10-24T16:04:08Z | # LongCat-Video
<div align="center">
<img src="assets/longcat_logo.svg" width="45%" alt="LongCat-Video" />
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href='https://meituan-longcat.github.io/LongCat-Video/'><img src='https://img.shields.io/badge/Project-Page-green'></a>
<a href='https://huggingf... | [] |
blobbybob/potion-mxbai-256d-v2 | blobbybob | 2026-04-02T20:42:10Z | 334 | 2 | model2vec | [
"model2vec",
"safetensors",
"sentence-transformers",
"embeddings",
"static-embeddings",
"tokenlearn",
"compact",
"en",
"base_model:mixedbread-ai/mxbai-embed-large-v1",
"base_model:finetune:mixedbread-ai/mxbai-embed-large-v1",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2026-04-01T15:20:13Z | # potion-mxbai-256d-v2
A compact static embedding model that achieves **near-SOTA quality at 8.2x smaller size**. Only 0.68 points behind our 512D baseline on the full MTEB English suite while being 8.2x smaller (7.5MB int8 vs ~62MB).
## Highlights
- **71.45 avg** on full MTEB English (STS + Classification + PairCla... | [
{
"start": 143,
"end": 156,
"text": "512D baseline",
"label": "evaluation metric",
"score": 0.6472018957138062
}
] |
mradermacher/Jinx-gpt-oss-20b-i1-GGUF | mradermacher | 2025-12-04T21:01:41Z | 339 | 1 | transformers | [
"transformers",
"gguf",
"vllm",
"en",
"base_model:Jinx-org/Jinx-gpt-oss-20b",
"base_model:quantized:Jinx-org/Jinx-gpt-oss-20b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-11T20:21:36Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [] |
prithivMLmods/Dots.OCR-Latest-BF16 | prithivMLmods | 2025-11-15T17:19:06Z | 364 | 4 | transformers | [
"transformers",
"safetensors",
"dots_ocr",
"text-generation",
"pytorch",
"markdown",
"text-generation-inference",
"ocr",
"document",
"vlm",
"extraction",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"base_model:rednote-hilab/dots.ocr",
"base_model:finetune:rednote-hil... | image-text-to-text | 2025-11-05T06:03:34Z | 
# **Dots.OCR-Latest-BF16**
> **Dots.OCR-Latest-BF16** is an optimized and updated vision-language OCR model variant of the original [Dots.OCR](https://huggingface.co/rednote-hilab/dots.ocr). This open-source... | [] |
salakash/SamKash-Tolstoy | salakash | 2025-12-20T14:28:11Z | 5,651 | 148 | peft | [
"peft",
"safetensors",
"base_model:adapter:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"lora",
"transformers",
"Safetensor",
"text-generation",
"conversational",
"en",
"dataset:manu/project_gutenberg",
"dataset:oscar-corpus/oscar",
"dataset:sedthh/gutenberg_english",
"base_model:deepseek-ai/... | text-generation | 2025-10-31T21:43:05Z | # Model Card for Model ID
# SamKash-Tolstoy — DeepSeek LoRA (Russian Literature-Fine-tuned for English-language content only)
https://huggingface.co/blog/salakash/cpu-only-micro-llm-tolstoy
**Developed by Kashif Salahuddin and Samiya Kashif**, **SamKash-Tolstoy** is a domain-specialized LLM (lightweight LoRA adapter)... | [] |
ericleigh007/MiniCPM-o-4_5-BNB-Int4 | ericleigh007 | 2026-03-11T01:41:18Z | 121 | 1 | transformers | [
"transformers",
"safetensors",
"minicpmo",
"feature-extraction",
"multimodal",
"vision",
"audio",
"tts",
"voice-cloning",
"bitsandbytes",
"4-bit",
"quantized",
"any-to-any",
"custom_code",
"en",
"zh",
"base_model:openbmb/MiniCPM-o-4_5",
"base_model:quantized:openbmb/MiniCPM-o-4_5",... | any-to-any | 2026-03-11T01:38:03Z | # MiniCPM-o 4.5 — INT4 (bitsandbytes NF4)
> **4-bit bitsandbytes quantization** of [openbmb/MiniCPM-o-4_5](https://huggingface.co/openbmb/MiniCPM-o-4_5)
> with selective module skipping for audio/vision quality preservation.
## Highlights
- Full multimodal capability preserved: **text, vision, audio input, TT... | [] |
ytu-ce-cosmos/turkish-e5-large | ytu-ce-cosmos | 2025-12-01T05:43:03Z | 2,412 | 30 | null | [
"safetensors",
"xlm-roberta",
"Turkish",
"turkish",
"retrieval",
"passage-retrieval",
"feature-extraction",
"tr",
"base_model:intfloat/multilingual-e5-large-instruct",
"base_model:finetune:intfloat/multilingual-e5-large-instruct",
"license:mit",
"region:us"
] | feature-extraction | 2025-04-11T07:50:37Z | <img src="./static/cover.png" width=1024>
# Turkish-e5-Large
This is a finetune version of model intfloat/multilingual-e5-large-instruct with various Turkish datasets.
Recommended Instruct: "Given a Turkish search query, retrieve relevant passages written in Turkish that best answer the query"
## Example Usage
``... | [] |
prithivMLmods/Qwen3-VL-8B-Instruct-Unredacted-MAX | prithivMLmods | 2026-02-15T09:14:13Z | 854 | 10 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"vllm",
"pytorch",
"bf16",
"max",
"conversational",
"en",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-... | image-text-to-text | 2026-02-13T16:44:54Z | 
# **Qwen3-VL-8B-Instruct-Unredacted-MAX**
> **Qwen3-VL-8B-Instruct-Unredacted-MAX** is an unredacted evolution built on top of **Qwen3-VL-8B-Instruct**. This model applies advanced abliterated training strat... | [] |
mradermacher/Strand-Rust-Coder-14B-v1-i1-GGUF | mradermacher | 2025-12-04T22:19:21Z | 461 | 3 | transformers | [
"transformers",
"gguf",
"en",
"dataset:Fortytwo-Network/Strandset-Rust-v1",
"base_model:Fortytwo-Network/Strand-Rust-Coder-14B-v1",
"base_model:quantized:Fortytwo-Network/Strand-Rust-Coder-14B-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-17T12:34:57Z | ## 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": 633,
"end": 665,
"text": "Strand-Rust-Coder-14B-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.6608394384384155
},
{
"start": 1229,
"end": 1261,
"text": "Strand-Rust-Coder-14B-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.6325753331184387
}
] |
Purfview/faster-distil-whisper-large-v3.5 | Purfview | 2025-04-06T21:29:40Z | 732 | 5 | ctranslate2 | [
"ctranslate2",
"audio",
"automatic-speech-recognition",
"en",
"arxiv:2311.00430",
"license:mit",
"region:us"
] | automatic-speech-recognition | 2025-04-06T21:27:20Z | # Distil-Whisper: Distil-Large-v3.5 for CTranslate2
This repository contains the model weights for [distil-large-v3.5](https://huggingface.co/distil-whisper/distil-large-v3.5)
converted to [CTranslate2](https://github.com/OpenNMT/CTranslate2) format. CTranslate2 is a fast inference engine for
Transformer models and i... | [] |
lightx2v/Wan2.2-Distill-Loras | lightx2v | 2025-12-17T08:00:53Z | 2,223,610 | 222 | diffusers | [
"diffusers",
"diffusion-single-file",
"comfyui",
"distillation",
"LoRA",
"video",
"video genration",
"lora",
"image-to-video",
"base_model:Wan-AI/Wan2.2-I2V-A14B",
"base_model:adapter:Wan-AI/Wan2.2-I2V-A14B",
"license:apache-2.0",
"region:us"
] | image-to-video | 2025-10-16T07:23:10Z | # 🎬 Wan2.2 Distilled LoRA Models
### ⚡ High-Performance Video Generation with 4-Step Inference Using LoRA
*LoRA weights extracted from Wan2.2 distilled models - Flexible deployment with excellent generation quality*
![img_lightx2v](https://cdn-uploads.huggingface.co/production/uploads/680de13385293771bc57400b/tTnp8... | [] |
Lewdiculous/Kunoichi-DPO-v2-7B-GGUF-Imatrix | Lewdiculous | 2024-05-04T14:47:05Z | 1,696 | 51 | transformers | [
"transformers",
"gguf",
"mistral",
"quantized",
"text-generation-inference",
"text-generation",
"base_model:SanjiWatsuki/Kunoichi-DPO-v2-7B",
"base_model:quantized:SanjiWatsuki/Kunoichi-DPO-v2-7B",
"license:cc-by-nc-4.0",
"region:us"
] | text-generation | 2024-02-27T10:16:40Z | > [!TIP]
> **Support:** <br>
> My upload speeds have been cooked and unstable lately. <br>
> Realistically I'd need to move to get a better provider. <br>
> If you **want** and you are able to... <br>
> [**You can support my various endeavors here (Ko-fi).**](https://ko-fi.com/Lewdiculous) <br>
> I apologize for disrup... | [] |
nvidia/Nemotron-Flash-3B-Instruct | nvidia | 2026-01-09T22:13:27Z | 523 | 44 | transformers | [
"transformers",
"safetensors",
"nemotron_flash",
"text-generation",
"custom_code",
"arxiv:2511.18890",
"license:other",
"region:us"
] | text-generation | 2025-10-14T18:44:57Z | # Nemotron-Flash-3B Instruct 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> | &nb... | [
{
"start": 775,
"end": 787,
"text": "NeurIPS 2025",
"label": "benchmark name",
"score": 0.8149304986000061
},
{
"start": 846,
"end": 859,
"text": "SOTA accuracy",
"label": "evaluation metric",
"score": 0.6913285851478577
}
] |
apple/FastVLM-7B-int4 | apple | 2025-09-03T14:18:57Z | 141 | 28 | ml-fastvlm | [
"ml-fastvlm",
"coreml",
"safetensors",
"llava_qwen2",
"arxiv:2412.13303",
"license:apple-amlr",
"region:us"
] | null | 2025-08-25T17:15:24Z | # FastVLM: Efficient Vision Encoding for Vision Language Models
FastVLM was introduced in
**[FastVLM: Efficient Vision Encoding for Vision Language Models](https://www.arxiv.org/abs/2412.13303). (CVPR 2025)**
[//]: # ()
<p align="center">
<img src="acc_vs_lat... | [
{
"start": 2,
"end": 9,
"text": "FastVLM",
"label": "benchmark name",
"score": 0.7144591808319092
},
{
"start": 656,
"end": 660,
"text": "TTFT",
"label": "evaluation metric",
"score": 0.8062406182289124
},
{
"start": 833,
"end": 837,
"text": "TTFT",
"l... |
nvidia/MambaVision-T-1K | nvidia | 2025-03-27T18:37:59Z | 5,211 | 42 | transformers | [
"transformers",
"safetensors",
"mambavision",
"image-classification",
"image-feature-extraction",
"custom_code",
"dataset:ILSVRC/imagenet-1k",
"arxiv:2407.08083",
"license:other",
"region:us"
] | image-classification | 2024-07-14T20:50:56Z | [**MambaVision: A Hybrid Mamba-Transformer Vision Backbone**](https://huggingface.co/papers/2407.08083)
## Model Overview
We have developed the first hybrid model for computer vision which leverages the strengths of Mamba and Transformers. Specifically, our core contribution includes redesigning the Mamba formulation... | [] |
timm/eva02_large_patch14_448.mim_m38m_ft_in22k_in1k | timm | 2025-01-21T21:37:25Z | 7,876 | 22 | timm | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"transformers",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2303.11331",
"arxiv:2303.15389",
"license:mit",
"region:us"
] | image-classification | 2023-03-31T04:51:15Z | # Model card for eva02_large_patch14_448.mim_m38m_ft_in22k_in1k
An EVA02 image classification model. Pretrained on Merged-38M (IN-22K, CC12M, CC3M, COCO (train), ADE20K (train), Object365, and OpenImages) with masked image modeling (using EVA-CLIP as a MIM teacher) and fine-tuned on ImageNet-22k then on ImageNet-1k by... | [] |
OpenGVLab/InternVL3_5-8B-MPO | OpenGVLab | 2025-08-29T17:57:06Z | 261 | 3 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.1... | image-text-to-text | 2025-08-25T16:38:39Z | # InternVL3_5-8B-MPO
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://huggingface.co... | [] |
deepseek-community/Janus-Pro-1B | deepseek-community | 2026-03-18T11:51:52Z | 132,089 | 9 | transformers | [
"transformers",
"safetensors",
"janus",
"image-text-to-text",
"muiltimodal",
"text-to-image",
"unified-model",
"any-to-any",
"arxiv:2501.17811",
"license:mit",
"endpoints_compatible",
"region:us"
] | any-to-any | 2025-03-01T14:42:15Z | ## 1. Introduction
Janus-Pro is a novel autoregressive framework that unifies multimodal understanding and generation.
It addresses the limitations of previous approaches by decoupling visual encoding into separate pathways, while still utilizing a single, unified transformer architecture for processing. The decoupli... | [] |
zai-org/codegeex2-6b | zai-org | 2024-12-10T11:36:56Z | 344 | 258 | transformers | [
"transformers",
"pytorch",
"chatglm",
"codegeex",
"glm",
"thudm",
"custom_code",
"zh",
"en",
"arxiv:2303.17568",
"endpoints_compatible",
"region:us"
] | null | 2023-07-19T08:25:26Z | 
<p align="center">
🏠 <a href="https://codegeex.cn" target="_blank">Homepage</a>｜💻 <a href="https://github.com/THUDM/CodeGeeX2" target="_blank">GitHub</a>｜🛠 Tools <a href="https://marketplace.visualstudio.com/items?itemName=aminer.codegeex" target="_blank">VS Code</a>, <a href="h... | [] |
Lewdiculous/Violet_Magcap-12B-GGUF-IQ-Imatrix | Lewdiculous | 2025-04-19T16:52:46Z | 552 | 23 | null | [
"gguf",
"sillytavern",
"presets",
"mistral",
"chatml",
"roleplay",
"conversational",
"reasoning",
"smart",
"en",
"base_model:Nitral-AI/Violet_Magcap-12B",
"base_model:quantized:Nitral-AI/Violet_Magcap-12B",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-04-19T14:17:46Z | <!--
> [!WARNING]
> **Uploading...** <br>
-->
### Hello there.
Here I share my personal **GGUF-Imatrix** quants of [**Violet_Magcap-12B**](https://huggingface.co/Nitral-AI/Violet_Magcap-12B). <br>
```
sillytavern, presets, mistral, chatml,
roleplay, conversational, reasoning, smart
```
> [!IMPORTANT]
> "It will help... | [
{
"start": 119,
"end": 136,
"text": "Violet_Magcap-12B",
"label": "benchmark name",
"score": 0.7103319764137268
}
] |
bartowski/Hermes-3-Llama-3.2-3B-GGUF | bartowski | 2024-12-11T19:51:32Z | 8,919 | 13 | null | [
"gguf",
"Llama-3",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"function calling",
"json mode",
"axolotl",
"roleplaying",
"chat",
"text-generation",
"en",
"base_model:NousResearch/Hermes-3-Llama-3.2-3B",
"base_model:quantized:NousResearch/Hermes-3-Llam... | text-generation | 2024-12-11T19:34:46Z | ## Llamacpp imatrix Quantizations of Hermes-3-Llama-3.2-3B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4273">b4273</a> for quantization.
Original model: https://huggingface.co/NousResearch/Hermes-3-Llama-3.2-3B
All quants... | [
{
"start": 287,
"end": 308,
"text": "Hermes-3-Llama-3.2-3B",
"label": "benchmark name",
"score": 0.6027502417564392
}
] |
unsloth/Qwen2.5-Coder-3B-Instruct-128K-GGUF | unsloth | 2024-11-15T04:51:35Z | 1,309 | 18 | transformers | [
"transformers",
"gguf",
"qwen2",
"unsloth",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"en",
"arxiv:2409.12186",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-Coder-3B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:... | null | 2024-11-12T19:00:38Z | > [!NOTE]
> Use 4bit quants (Q4_K_M) and above for 3B - lower quants will degrade accuracy
# YaRN 128K. 32K non extended GGUF here: [link](https://huggingface.co/unsloth/Qwen2.5-Coder-3B-Instruct-GGUF)
# Finetune Llama 3.1, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a Qwen 2.5 (all model ... | [] |
m42-health/Llama3-Med42-8B | m42-health | 2024-08-20T05:12:05Z | 14,043 | 87 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"m42",
"health",
"healthcare",
"clinical-llm",
"conversational",
"en",
"arxiv:2408.06142",
"license:llama3",
"text-generation-inference",
"deploy:azure",
"region:us"
] | text-generation | 2024-07-02T10:14:40Z | # **Med42-v2 - A Suite of Clinically-aligned Large Language Models**
Med42-v2 is a suite of open-access clinical large language models (LLM) instruct and preference-tuned by M42 to expand access to medical knowledge. Built off LLaMA-3 and comprising either 8 or 70 billion parameters, these generative AI systems provide... | [
{
"start": 679,
"end": 688,
"text": "Elo Score",
"label": "evaluation metric",
"score": 0.6476263999938965
}
] |
Sanskar3/Qwen-Image-Edit-2511-Multiple-Angles-LoRA | Sanskar3 | 2026-02-22T14:17:13Z | 155 | 2 | diffusers | [
"diffusers",
"qwen",
"qwen-image-edit",
"qwen-image-edit-2511",
"lora",
"multi-angle",
"camera-angles",
"camera-control",
"image-editing",
"image-to-image",
"gaussian-splatting",
"fal",
"en",
"base_model:Qwen/Qwen-Image-Edit-2511",
"base_model:adapter:Qwen/Qwen-Image-Edit-2511",
"licen... | image-to-image | 2026-02-22T14:17:13Z | # Qwen-Image-Edit-2511-Multiple-Angles-LoRA
> **Multi-angle camera control LoRA for Qwen-Image-Edit-2511**
>
> 96 camera positions • Trained on 3000+ Gaussian Splatting renders • Built with [fal.ai](https://fal.ai)
---
## Results
---
## Highlights
| Featur... | [] |
mradermacher/MachineLearningLM-7B-v1-GGUF | mradermacher | 2025-09-14T04:49:50Z | 192 | 5 | transformers | [
"transformers",
"gguf",
"Tabular Classification",
"en",
"dataset:MachineLearningLM/machinelearninglm-scm-synthetic-tabularml",
"base_model:MachineLearningLM/MachineLearningLM-7B-v1",
"base_model:quantized:MachineLearningLM/MachineLearningLM-7B-v1",
"license:apache-2.0",
"endpoints_compatible",
"re... | null | 2025-09-11T04:11:44Z | ## 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... | [
{
"start": 529,
"end": 557,
"text": "MachineLearningLM-7B-v1-GGUF",
"label": "benchmark name",
"score": 0.7546225786209106
},
{
"start": 1295,
"end": 1318,
"text": "MachineLearningLM-7B-v1",
"label": "benchmark name",
"score": 0.6268643140792847
}
] |
Salesforce/codet5p-2b | Salesforce | 2025-01-21T09:31:00Z | 451 | 35 | transformers | [
"transformers",
"pytorch",
"codet5p",
"text2text-generation",
"custom_code",
"arxiv:2305.07922",
"license:bsd-3-clause",
"region:us"
] | null | 2023-05-17T02:24:16Z | # CodeT5+ 2B
## Model description
[CodeT5+](https://github.com/salesforce/CodeT5/tree/main/CodeT5+) is a new family of open code large language models with an encoder-decoder architecture that can flexibly operate in different modes (i.e. _encoder-only_, _decoder-only_, and _encoder-decoder_) to support a wide range ... | [] |
mradermacher/Llasa-1B-Multilingual-Polish-GGUF | mradermacher | 2025-09-08T08:11:34Z | 136 | 1 | transformers | [
"transformers",
"gguf",
"speech",
"audio",
"polish",
"llama",
"tts",
"fine-tuned",
"text-to-speech",
"pl",
"dataset:amu-cai/pl-asr-bigos-v2",
"base_model:GameRuiner/Llasa-1B-Multilingual-Polish",
"base_model:quantized:GameRuiner/Llasa-1B-Multilingual-Polish",
"license:apache-2.0",
"endpo... | text-to-speech | 2025-09-08T07:56:49Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static qu... | [
{
"start": 527,
"end": 560,
"text": "Llasa-1B-Multilingual-Polish-GGUF",
"label": "benchmark name",
"score": 0.6104852557182312
}
] |
prithivMLmods/OpenMed-SynthVision-MedVL-AIO-GGUF | prithivMLmods | 2026-03-24T04:17:10Z | 568 | 2 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"medical",
"VQA",
"synthvision",
"llama.cpp",
"visual-question-answering",
"en",
"base_model:OpenMed/Ministral-3B-MedVL",
"base_model:quantized:OpenMed/Ministral-3B-MedVL",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"co... | visual-question-answering | 2026-03-23T15:22:57Z | # **OpenMed-SynthVision-MedVL-AIO-GGUF**
> OpenMed's MedVL series—comprising Qwen2.5-3B-MedVL, Qwen3.5-2B-MedVL, and Ministral-3B-MedVL—are lightweight, specialized medical vision-language models fine-tuned from their respective strong open-source bases (Qwen2.5-VL-3B, Qwen3.5-2B, Ministral-3B) for clinical applicatio... | [] |
0xSero/MiniMax-M2.7-161B-REAP | 0xSero | 2026-04-16T09:56:27Z | 127 | 5 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"minimax",
"moe",
"reap",
"pruned",
"conversational",
"custom_code",
"arxiv:2510.13999",
"base_model:MiniMaxAI/MiniMax-M2.7",
"base_model:finetune:MiniMaxAI/MiniMax-M2.7",
"license:apache-2.0",
"endpoints_compatible",
"reg... | text-generation | 2026-04-15T21:41:44Z | > [!TIP]
> Support this work: **[donate.sybilsolutions.ai](https://donate.sybilsolutions.ai)**
>
> REAP surfaces: [GLM](https://huggingface.co/spaces/0xSero/reap-glm-family) | [MiniMax](https://huggingface.co/spaces/0xSero/reap-minimax-family) | [Qwen](https://huggingface.co/spaces/0xSero/reap-qwen-family) | [Gemma](h... | [
{
"start": 659,
"end": 671,
"text": "MiniMax-M2.7",
"label": "benchmark name",
"score": 0.6919031739234924
},
{
"start": 798,
"end": 810,
"text": "MiniMax-M2.7",
"label": "benchmark name",
"score": 0.6192352771759033
}
] |
ziheng1234/ImageCritic | ziheng1234 | 2025-12-03T04:39:45Z | 1,144 | 7 | diffusers | [
"diffusers",
"image-to-image",
"arxiv:2511.20614",
"license:cc-by-nc-4.0",
"region:us"
] | image-to-image | 2025-11-20T07:55:32Z | # The Consistency Critic: Correcting Inconsistencies in Generated Images via Reference-Guided Attentive Alignment
This repository hosts **ImageCritic**, a reference-guided post-editing approach designed to correct inconsistencies in generated images. It aims to solve the inconsistency problem in generated images by ap... | [] |
NousResearch/Nous-Capybara-7B-V1.9 | NousResearch | 2023-12-28T12:56:24Z | 1,529 | 51 | transformers | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"sft",
"StableLM",
"eng",
"dataset:LDJnr/Capybara",
"dataset:LDJnr/LessWrong-Amplify-Instruct",
"dataset:LDJnr/Pure-Dove",
"dataset:LDJnr/Verified-Camel",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:... | text-generation | 2023-10-10T13:07:51Z | ## **Nous-Capybara-7B V1.9**
**This is currently the best 7B version of Capybara to use**
What's new compared to V1?: *V1.9 now leverages novel unalignment techniques that lead to more consistent and dynamic control, we also worked on enhanced quality curation for training data and a significantly better foundation m... | [] |
stepfun-ai/NextStep-1.1 | stepfun-ai | 2025-12-23T16:14:45Z | 883 | 27 | transformers | [
"transformers",
"safetensors",
"nextstep",
"text-generation",
"text-to-image",
"custom_code",
"arxiv:2508.10711",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-to-image | 2025-12-23T15:26:53Z | ## NextStep-1.1
[Homepage](https://stepfun.ai/research/en/nextstep-1)
| [GitHub](https://github.com/stepfun-ai/NextStep-1)
| [Paper](https://arxiv.org/abs/2508.10711)
We introduce **NextStep-1.1**, a new model represents a significant leap forward in the NextStep series. This version effectively res... | [] |
allenai/Olmo-3-7B-Think | allenai | 2026-01-05T16:25:49Z | 53,101 | 90 | transformers | [
"transformers",
"safetensors",
"olmo3",
"text-generation",
"conversational",
"en",
"dataset:allenai/Dolci-Think-RL-7B",
"arxiv:2512.13961",
"base_model:allenai/Olmo-3-7B-Think-DPO",
"base_model:finetune:allenai/Olmo-3-7B-Think-DPO",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure... | text-generation | 2025-11-18T01:22:27Z | ## Model Details
<img alt="Logo for Olmo 3 7B Think model" src="olmo-think.png" width="240px" style="margin-left:'auto' margin-right:'auto' display:'block'">
# Model Card for Olmo 3 Think
We introduce Olmo 3, a new family of 7B and 32B models both Instruct and Think variants. Long chain-of-thought thinking improves... | [] |
mradermacher/KAT-Dev-GGUF | mradermacher | 2025-10-12T18:36:56Z | 172 | 7 | transformers | [
"transformers",
"gguf",
"multilingual",
"base_model:Kwaipilot/KAT-Dev",
"base_model:quantized:Kwaipilot/KAT-Dev",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-16T10:56:15Z | ## 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": 1125,
"end": 1129,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6590256690979004
},
{
"start": 1236,
"end": 1242,
"text": "Q3_K_S",
"label": "benchmark name",
"score": 0.6250202059745789
}
] |
cyankiwi/Qwen3-4B-Instruct-2507-AWQ-4bit | cyankiwi | 2025-08-06T16:50:03Z | 3,662 | 7 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"compressed-tensors",
"reg... | text-generation | 2025-08-06T16:25:25Z | # Qwen3-4B-Instruct-2507-AWQ
## Method
Quantised using [vllm-project/llm-compressor](https://github.com/vllm-project/llm-compressor.git), [nvidia/Llama-Nemotron-Post-Training-Dataset](https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset) and the following configs:
```
recipe = [
AWQModifier(... | [] |
liminerity/tiny-epstein-100m | liminerity | 2026-03-03T12:45:19Z | 446 | 2 | transformers | [
"transformers",
"pytorch",
"tiny-epstein",
"epstein-files",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2026-02-26T07:56:58Z | # tiny-epstein-100m
# Actively being trained. work in progress
# THANK YOU FOR CHECKING OUT THIS MODEL <3
# PLEASE LEAVE A LIKE AND SHARE IM TRYING TO GET A JOB AS AN AI ENGINEER
# IF YOU ARE HIRING AI ENGINEERS PLEASE HMU I DONT HAVE PROPER EDUCATION BUT IM OBVIOUSLY VERY KNOWLEDGEABLE
A small transformer model (~10... | [] |
mradermacher/Gemma-2-Llama-Swallow-9b-it-v0.1-Heretic-GGUF | mradermacher | 2025-12-17T23:33:49Z | 1,540 | 1 | transformers | [
"transformers",
"gguf",
"Gemma",
"Llama",
"Swallow",
"9b",
"Instruct",
"Heretic",
"Japanese",
"Uncensored",
"Abliterated",
"Safetensors",
"en",
"ja",
"dataset:tokyotech-llm/lmsys-chat-1m-synth",
"dataset:tokyotech-llm/swallow-magpie-ultra-v0.1",
"dataset:tokyotech-llm/swallow-gemma-m... | null | 2025-12-17T12:09:50Z | ## 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... | [] |
huihui-ai/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated | huihui-ai | 2026-03-21T22:58:39Z | 1,266 | 37 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"abliterated",
"uncensored",
"Claude",
"reasoning",
"chain-of-thought",
"Dense",
"conversational",
"base_model:Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2",
"base_model:finetune:Jackrong/Qwen3.5-9B-Claude-4.6-Opus... | image-text-to-text | 2026-03-21T13:16:42Z | # huihui-ai/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated
This is an uncensored version of [Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2](https://huggingface.co/Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2) created with abliteration (see [remove-refusals-with-transformers](https://github.c... | [] |
cyankiwi/granite-4.0-h-small-AWQ-4bit | cyankiwi | 2025-10-13T20:26:20Z | 189 | 1 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.0-h-small",
"base_model:quantized:ibm-granite/granite-4.0-h-small",
"license:apache-2.0",
"endpoints_compatible",
"compress... | text-generation | 2025-10-13T16:34:18Z | # Granite-4.0-H-Small AWQ - INT4
## Model Details
### Quantization Details
- **Quantization method:** AWQ
- **Bits:** 4
- **Group Size:** 32
- **Calibration Dataset:** [nvidia/Llama-Nemotron-Post-Training-Dataset](https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset)
- **Quantization Tool:** l... | [] |
bartowski/google_gemma-3-12b-it-GGUF | bartowski | 2025-03-22T19:09:41Z | 16,688 | 50 | null | [
"gguf",
"image-text-to-text",
"base_model:google/gemma-3-12b-it",
"base_model:quantized:google/gemma-3-12b-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-03-12T13:12:52Z | ## Llamacpp imatrix Quantizations of gemma-3-12b-it by google
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4877">b4877</a> for quantization.
Original model: https://huggingface.co/google/gemma-3-12b-it
All quants made usin... | [] |
ecmwf/aifs-single-1.0 | ecmwf | 2025-07-07T08:48:35Z | 262 | 48 | anemoi | [
"anemoi",
"graph-ml",
"en",
"arxiv:2406.01465",
"doi:10.57967/hf/4629",
"license:cc-by-4.0",
"region:us"
] | graph-ml | 2025-02-04T15:20:41Z | # AIFS Single - v1.0
<!-- Provide a quick summary of what the model is/does. -->
Here, we introduce the **Artificial Intelligence Forecasting System (AIFS)**, a data driven forecast
model developed by the European Centre for Medium-Range Weather Forecasts (ECMWF).
The release of AIFS Single v1.0 marks the first ope... | [] |
VibeStudio/MiniMax-M2-THRIFT-55 | VibeStudio | 2025-12-03T10:33:25Z | 163 | 5 | null | [
"safetensors",
"minimax",
"moe",
"bfloat16",
"sglang",
"gguf",
"custom_code",
"dataset:nick007x/github-code-2025",
"dataset:tatsu-lab/alpaca",
"arxiv:2511.01354",
"arxiv:2510.13999",
"arxiv:2503.04992",
"arxiv:2503.09657",
"arxiv:2310.06694",
"arxiv:2305.11627",
"arxiv:2306.11695",
"... | null | 2025-11-24T08:26:30Z | 
# VibeStudio/MiniMax-M2-THRIFT-55-v1
**Targeted Reduction for Inference and Fine-Tuning — ~55% Expert Pruned**
A lean, efficiency-first variant of MiniMax-M2 designed to maximize **latency, throughput, and VRA... | [
{
"start": 48,
"end": 65,
"text": "MiniMax-M2-THRIFT",
"label": "benchmark name",
"score": 0.6764350533485413
},
{
"start": 122,
"end": 145,
"text": "MiniMax-M2-THRIFT-55-v1",
"label": "benchmark name",
"score": 0.817123293876648
},
{
"start": 388,
"end": 408,... |
mradermacher/Huihui-Qwen3.5-27B-abliterated-i1-GGUF | mradermacher | 2026-02-28T08:19:07Z | 18,576 | 9 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Qwen3.5-27B-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.5-27B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-28T06:53:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 632,
"end": 670,
"text": "Huihui-Qwen3.5-27B-abliterated-i1-GGUF",
"label": "benchmark name",
"score": 0.6949748992919922
},
{
"start": 744,
"end": 779,
"text": "Huihui-Qwen3.5-27B-abliterated-GGUF",
"label": "benchmark name",
"score": 0.6414673328399658
},
... |
Lewdiculous/mistral-7b-v0.1-layla-v4-GGUF-IQ-Imatrix | Lewdiculous | 2024-03-03T11:28:24Z | 216 | 9 | transformers | [
"transformers",
"gguf",
"mistral",
"quantized",
"text-generation-inference",
"roleplay",
"text-generation",
"license:apache-2.0",
"region:us"
] | text-generation | 2024-03-03T10:42:12Z | ## GGUF-Imatrix quantizations for [l3utterfly/mistral-7b-v0.1-layla-v4](https://huggingface.co/l3utterfly/mistral-7b-v0.1-layla-v4/).
All credits belong to the author.
If you like these also check out [FantasiaFoundry's GGUF-Quantization-Script](https://huggingface.co/FantasiaFoundry/GGUF-Quantization-Script).
## Wh... | [] |
mradermacher/GLM4.7-Distill-LFM2.5-1.2B-i1-GGUF | mradermacher | 2026-02-02T10:42:09Z | 684 | 3 | transformers | [
"transformers",
"gguf",
"text-generation",
"text-generation-inference",
"instruction-tuned",
"distilled",
"synthetic-data",
"unsloth",
"lfm2",
"glm",
"agentic",
"edge",
"efficient",
"en",
"dataset:Open-Orca/FLAN",
"dataset:databricks/databricks-dolly-15k",
"dataset:OpenAssistant/oass... | text-generation | 2026-02-02T09:39:43Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
ai-sage/GigaChat3.1-10B-A1.8B-GGUF | ai-sage | 2026-03-25T20:06:07Z | 4,488 | 33 | transformers | [
"transformers",
"gguf",
"instruct",
"moe",
"multilingual",
"tool-use",
"long-context",
"text-generation",
"ru",
"en",
"base_model:ai-sage/GigaChat3-10B-A1.8B-base",
"base_model:quantized:ai-sage/GigaChat3-10B-A1.8B-base",
"license:mit",
"endpoints_compatible",
"region:us",
"conversatio... | text-generation | 2026-03-21T10:27:48Z | # GigaChat 3.1 Lightning
`GigaChat 3.1 Lightning` is the compact instruct model of the GigaChat 3.1 family. It is a Mixture-of-Experts (MoE) model with 10B total parameters and 1.8B active parameters, designed for fast multilingual assistant workloads, reasoning, code, function calling, and product-style deployment.
... | [] |
Atotti/Qwen3-Omni-AudioTransformer | Atotti | 2025-10-04T04:01:21Z | 8,788 | 33 | null | [
"safetensors",
"qwen3_omni_moe_audio_encoder",
"base_model:Qwen/Qwen3-Omni-30B-A3B-Instruct",
"base_model:finetune:Qwen/Qwen3-Omni-30B-A3B-Instruct",
"license:apache-2.0",
"region:us"
] | null | 2025-10-04T03:26:15Z | [Qwen/Qwen3-Omni-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instruct)のAudioEncoderを抽出した重みです。ライセンスは元モデルに従います。
詳細はQwen3-Omniテクニカルレポートを参照。
```bash
pip install git+https://github.com/... | [] |
deepvk/GeRaCl-USER2-base | deepvk | 2025-06-10T18:54:48Z | 1,309 | 19 | null | [
"safetensors",
"GeRaCl",
"zero-shot-classification",
"ru",
"dataset:deepvk/GeRaCl_synthethic_dataset",
"base_model:deepvk/USER2-base",
"base_model:finetune:deepvk/USER2-base",
"license:apache-2.0",
"region:us"
] | zero-shot-classification | 2025-05-24T19:07:59Z | # GeRaCl-USER2-base
**GeRaCl** is a **Ge**neral **Ra**pid **Cl**assifer designed to perform zero-shot classification tasks primarily on Russian texts.
This is a model with 155M parameters that is build on top of the [USER2-base](https://huggingface.co/deepvk/USER2-base) sentence encoder (149M) and is fine-tuned for... | [
{
"start": 741,
"end": 749,
"text": "MTEB-rus",
"label": "benchmark name",
"score": 0.9208818078041077
},
{
"start": 765,
"end": 773,
"text": "MTEB-rus",
"label": "benchmark name",
"score": 0.9292542934417725
},
{
"start": 836,
"end": 840,
"text": "Mean",
... |
Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2-GGUF | Orenguteng | 2024-09-03T16:18:02Z | 13,597 | 223 | null | [
"gguf",
"license:llama3.1",
"model-index",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-08-09T20:05:30Z | 
VERSION 2 Update Notes:
---
- More compliant
- Smarter
- For best response, use this system prompt (feel free to expand upon it as you wish):
Think step by step with a logical reasoning and intellect... | [] |
jason1966/CoPaw-Flash-9B-DataAnalyst-LoRA | jason1966 | 2026-04-15T02:06:53Z | 148 | 57 | peft | [
"peft",
"safetensors",
"agent",
"tool-use",
"lora",
"vllm",
"qwen3.5",
"image-text-to-text",
"en",
"zh",
"base_model:agentscope-ai/QwenPaw-Flash-9B",
"base_model:adapter:agentscope-ai/QwenPaw-Flash-9B",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2026-04-09T09:36:33Z | # CoPaw-Flash-9B-DataAnalyst-LoRA
[](https://youtu.be/A0WBHV-DzIE?si=_sHpjOUuhzjmN43p)
[](https://... | [] |
Smilyai-labs/Nova-2-preview | Smilyai-labs | 2026-04-20T05:42:48Z | 798 | 1 | transformers | [
"transformers",
"safetensors",
"nova2",
"text-generation",
"mamba",
"transformer",
"hybrid",
"multimodal",
"vision",
"audio",
"moe",
"causal-lm",
"custom_code",
"en",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-04-14T10:31:31Z | # Nova-2: Multimodal Mamba × Transformer Hybrid
**Nova-2** is a hybrid language model combining **Mamba-2 SSM** blocks with **Grouped-Query Attention Transformers**, enhanced with **Mixture-of-Experts** FFN, **vision**, and **audio** adapters.
## Architecture Highlights
| Component | Detail |
|---|---|
| Parameters ... | [] |
shisa-ai/shisa-v2.1-unphi4-14b | shisa-ai | 2025-12-08T14:35:32Z | 452 | 4 | null | [
"safetensors",
"llama",
"shisa",
"phi4",
"axolotl",
"trl",
"mergekit",
"text-generation",
"conversational",
"ja",
"en",
"dataset:shisa-ai/shisa-v2.1-sharegpt",
"arxiv:2406.20052",
"base_model:unsloth/phi-4",
"base_model:finetune:unsloth/phi-4",
"license:mit",
"deploy:azure",
"regio... | text-generation | 2025-11-10T14:43:15Z | # Shisa V2.1
**Shisa V2.1** is an update to our [Shisa V2](https://huggingface.co/collections/shisa-ai/shisa-v2) family of bilingual Japanese and English (JA/EN) general-purpose chat models trained by [Shisa.AI](https://shisa.ai/). These models aim to excel in Japanese language tasks while retaining robust English cap... | [] |
jinaai/jina-reranker-v3 | jinaai | 2026-03-27T13:54:20Z | 121,873 | 112 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"reranker",
"text-ranking",
"custom_code",
"multilingual",
"arxiv:2509.25085",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"license:cc-by-nc-4.0",
"region:eu"
] | text-ranking | 2025-09-18T08:10:25Z | <p align="center">
<img src="https://huggingface.co/datasets/jinaai/documentation-images/resolve/main/logo.webp" alt="Jina AI: Your Search Foundation, Supercharged!" width="150px">
</p>
# jina-reranker-v3: Listwise Document Reranker for SOTA Multilingual Retrieval
[Blog](https://jina.ai/news/jina-reranker-v3-0-6b-li... | [] |
nvidia/Llama-3.1-405B-Instruct-FP8 | nvidia | 2025-08-22T06:13:02Z | 11,504 | 16 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"base_model:meta-llama/Llama-3.1-405B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-405B-Instruct",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-08-29T09:33:35Z | # Model Overview
## Description:
The NVIDIA Llama 3.1 405B Instruct FP8 model is the quantized version of the Meta's Llama 3.1 405B Instruct model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/meta-llama/Met... | [] |
unsloth/granite-4.0-h-small | unsloth | 2025-10-07T06:46:03Z | 1,271 | 4 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"unsloth",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.0-h-small",
"base_model:finetune:ibm-granite/granite-4.0-h-small",
"license:apache-2.0",
"endpoints_compatible",... | text-generation | 2025-10-01T12:08:14Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/granite-40-68ddf64b4a8717dc22a9322d">our collection</a> for all versions of Granite-4.0 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Gr... | [
{
"start": 219,
"end": 223,
"text": "GGUF",
"label": "benchmark name",
"score": 0.7821614742279053
}
] |
Jackrong/Qwen3.5-9B-Neo | Jackrong | 2026-03-24T16:04:17Z | 721 | 8 | null | [
"safetensors",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"lora",
"competitive-programming",
"text-generation",
"conversational",
"en",
"zh",
"dataset:Jackrong/Competitive-Programming-python-blend",
"dataset:stepfun-ai/Step-3.5-Flash-SFT",
"base_model:Qwe... | text-generation | 2026-03-24T01:49:40Z | # 🌟 Jackrong/Qwen3.5-9B-Neo
## 📢 Announcement
> **Neo Update:**
> This iteration focuses extensively on **achieving meaningful gains in reasoning and mathematical performance while maintaining competitive general accuracy**.
>
> Neo introduces a **highly optimized reasoning scaffold** designed to eliminate redundan... | [
{
"start": 4,
"end": 27,
"text": "Jackrong/Qwen3.5-9B-Neo",
"label": "benchmark name",
"score": 0.6118147373199463
},
{
"start": 583,
"end": 586,
"text": "BBH",
"label": "evaluation metric",
"score": 0.8281252384185791
},
{
"start": 599,
"end": 608,
"text"... |
soleimanian/financial-roberta-large-sentiment | soleimanian | 2022-10-12T21:04:39Z | 3,727 | 54 | transformers | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"Sentiment",
"RoBERTa",
"Financial Statements",
"Accounting",
"Finance",
"Business",
"ESG",
"CSR Reports",
"Financial News",
"Earnings Call Transcripts",
"Sustainability",
"Corporate governance",
"eng",
"license:apache-2.... | text-classification | 2022-05-16T04:09:10Z | <!DOCTYPE html>
<html>
<body>
<h1><b>Financial-RoBERTa</b></h1>
<p><b>Financial-RoBERTa</b> is a pre-trained NLP model to analyze sentiment of financial text including:</p>
<ul style="PADDING-LEFT: 40px">
<li>Financial Statements,</li>
<li>Earnings Announcements,</li>
<li>Earnings Call Transcripts,</li>
<li>Co... | [] |
mradermacher/zen-musician-GGUF | mradermacher | 2026-02-28T23:21:45Z | 627 | 1 | transformers | [
"transformers",
"gguf",
"text-to-audio",
"zen",
"zenlm",
"hanzo",
"music-generation",
"audio",
"en",
"base_model:zenlm/zen-musician",
"base_model:quantized:zenlm/zen-musician",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-to-audio | 2026-02-24T22:07:44Z | ## 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": 190,
"end": 194,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6022071838378906
},
{
"start": 1146,
"end": 1150,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6841483116149902
},
{
"start": 1266,
"end": 1272,
"text": "Q3_K_S",
... |
AI-Sweden-Models/gpt-sw3-126m | AI-Sweden-Models | 2026-01-23T09:49:38Z | 131,265 | 4 | transformers | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"da",
"sv",
"no",
"en",
"is",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-12-14T12:31:41Z | # Model description
[AI Sweden](https://huggingface.co/AI-Sweden-Models/)
**Base models**
[GPT-Sw3 126M](https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m/) | [GPT-Sw3 356M](https://huggingface.co/AI-Sweden-Models/gpt-sw3-356m/) | [GPT-Sw3 1.3B](https://huggingface.co/AI-Sweden-Models/gpt-sw3-1.3b/)
[GPT-Sw3 ... | [] |
bartowski/XiaomiMiMo_MiMo-VL-7B-RL-2508-GGUF | bartowski | 2025-09-02T14:46:25Z | 468 | 1 | null | [
"gguf",
"image-text-to-text",
"base_model:XiaomiMiMo/MiMo-VL-7B-RL-2508",
"base_model:quantized:XiaomiMiMo/MiMo-VL-7B-RL-2508",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-09-02T13:50:25Z | ## Llamacpp imatrix Quantizations of MiMo-VL-7B-RL-2508 by XiaomiMiMo
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/b6317">b6317</a> for quantization.
Original model: https://huggingface.co/XiaomiMiMo/MiMo-VL-7B-RL-2508
All qu... | [] |
adi-gov-tw/Taiwan-Tongues-ASR-CE-pretrained | adi-gov-tw | 2026-01-02T03:24:30Z | 471 | 2 | null | [
"safetensors",
"whisper",
"dginfra",
"automatic-speech-recognition",
"en",
"zh",
"license:other",
"region:us"
] | automatic-speech-recognition | 2025-10-01T09:07:30Z | # Taiwan-Tongues-ASR-CE-pretrained Model
本模型為 [Taiwan-Tongues-ASR-CE](https://github.com/adi-gov-tw/Taiwan-Tongues-ASR-CE) 專案所使用的 **Automatic Speech Recognition (ASR)** 模型，配合對應的語料庫進行預訓練與微調。
---
## 📂 模型檔案結構
模型包含以下檔案：
* `config.json` — 模型結構與超參數設定
* `model.bin` — 預訓練權重
* `preprocessor_config.json` — 音訊前處理設定
* `token... | [] |
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