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 |
|---|---|---|---|---|---|---|---|---|---|---|
ai-sage/GigaChat3.1-702B-A36B | ai-sage | 2026-04-02T21:57:41Z | 1,512 | 24 | null | [
"safetensors",
"deepseek_v3",
"instruct",
"moe",
"multilingual",
"fp8",
"long-context",
"tool-use",
"text-generation",
"conversational",
"ru",
"en",
"license:mit",
"region:us"
] | text-generation | 2026-03-21T10:25:28Z | # GigaChat 3.1 Ultra
`GigaChat 3.1 Ultra` is the flagship instruct model of the GigaChat family. It is a large-scale Mixture-of-Experts (MoE) model with 702B total parameters and 36B active parameters, designed for multilingual assistant workloads, reasoning, code, tool use, and large-cluster deployment.
This version... | [] |
CharGen/CharGen-v3-mini-GGUF | CharGen | 2025-05-28T00:28:35Z | 511 | 12 | null | [
"gguf",
"roleplay",
"text-generation",
"en",
"base_model:CharGen/CharGen-v3-mini",
"base_model:quantized:CharGen/CharGen-v3-mini",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-05-20T23:21:55Z | <img src="assets/cover_art.png" alt="CharGen v3 mini cover art" width="400"/>
## Live version
https://chargen.kubes-lab.com
<small>Select "CharGen-v3-mini" model in Settings</small>
# CharGen v3 mini
CharGen v3 mini is a small model that helps you to write role playing characters.
It produces characters based on ... | [] |
openguardrails/OpenGuardrails-Text-4B-0124 | openguardrails | 2026-02-02T11:44:21Z | 209 | 1 | null | [
"safetensors",
"qwen3",
"safety",
"security",
"compliance",
"prompt_attack",
"prompt_injection",
"prompt_jailbreak",
"text-generation",
"conversational",
"en",
"zh",
"arxiv:2510.19169",
"base_model:Qwen/Qwen2.5-7B",
"base_model:finetune:Qwen/Qwen2.5-7B",
"license:apache-2.0",
"region... | text-generation | 2026-01-24T00:51:49Z | # OpenGuardrails-Text-4B-0124
<p align="center">
<img src="https://www.openguardrails.com/logo.png" width="400"/>
<p>
**OpenGuardrails** is an **open-source, enterprise-grade AI security platform** that provides configurable policy control, a unified LLM-based guard architecture, and low-latency deployment for pr... | [] |
mradermacher/Qwen3.5-35B-A3B-heretic-Opus-4.6-Distilled-GGUF | mradermacher | 2026-03-16T14:29:49Z | 1,365 | 1 | transformers | [
"transformers",
"gguf",
"qwen3_5_moe",
"heretic",
"abliterated",
"uncensored",
"reasoning",
"distillation",
"unsloth",
"qwen3.5",
"Mixture of Experts",
"en",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"dataset:Jackrong/Qwen... | null | 2026-03-16T13:06:14Z | ## 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: 1 -->
static ... | [] |
the-clanker-lover/steelman-14b-ada-GGUF | the-clanker-lover | 2026-03-18T19:00:11Z | 282 | 4 | null | [
"gguf",
"ada",
"ada2022",
"spark",
"quantized",
"code-generation",
"defense",
"aerospace",
"safety-critical",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-Coder-14B",
"base_model:quantized:Qwen/Qwen2.5-Coder-14B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conve... | text-generation | 2026-03-12T09:06:41Z | # Steelman-14B-Ada v0.3 -- GGUF
Quantized GGUF of [Steelman-14B-Ada v0.3](https://huggingface.co/the-clanker-lover/steelman-14b-ada) for use with Ollama, llama.cpp, or any GGUF-compatible runtime.
## Download
| File | Size | Quantization | Notes |
|---|---|---|---|
| `steelman-r7-coder-base-q8_0.gguf` | ~15 GB | Q8_... | [
{
"start": 622,
"end": 629,
"text": "GPT-5.4",
"label": "benchmark name",
"score": 0.6025307774543762
}
] |
naver/xprovence-reranker-bgem3-v1 | naver | 2026-03-09T08:45:29Z | 227 | 13 | transformers | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"XProvence",
"RAG",
"Multilingual",
"Provence",
"text-ranking",
"custom_code",
"ar",
"en",
"fr",
"es",
"bn",
"fa",
"fi",
"hi",
"id",
"ja",
"ko",
"ru",
"sw",
"te",
"th",
"zh",
"arxiv:2601.18886",
... | text-ranking | 2025-09-04T11:16:51Z | # Model Card for XProvence-reranker
<img src="https://cdn-uploads.huggingface.co/production/uploads/6273df31c3b822dad2d1eef2/4n-bxYfiMPC2LoLM2m7pg.png" alt="image/png" width="600">
XProvence is a Zero Cost **context pruning model** that seamlessly integrates with reranker for retrieval-augmented generation,
particul... | [] |
OpenMOSS-Team/MOSS-TTSD-v1.0 | OpenMOSS-Team | 2026-02-14T03:36:01Z | 13,048 | 51 | transformers | [
"transformers",
"safetensors",
"moss_tts_delay",
"feature-extraction",
"text-to-speech",
"custom_code",
"zh",
"en",
"de",
"es",
"fr",
"ja",
"it",
"he",
"ko",
"ru",
"fa",
"ar",
"pl",
"pt",
"cs",
"da",
"sv",
"hu",
"el",
"tr",
"arxiv:2602.10934",
"license:apache-2.... | text-to-speech | 2026-02-08T14:41:48Z | # MOSS-TTS Family
<br>
<p align="center">
<img src="https://speech-demo.oss-cn-shanghai.aliyuncs.com/moss_tts_demo/tts_readme_imgaes_demo/openmoss_x_mosi" height="50" align="middle" />
</p>
<div align="center">
<a href="https://github.com/OpenMOSS/MOSS-TTS/tree/main"><img src="https:... | [] |
TryDotAtwo/ruBERT-ruLaw | TryDotAtwo | 2025-10-26T18:56:27Z | 126 | 3 | null | [
"safetensors",
"bert",
"Russian law",
"fill-mask",
"ru",
"dataset:irlspbru/RusLawOD",
"base_model:DeepPavlov/rubert-base-cased",
"base_model:finetune:DeepPavlov/rubert-base-cased",
"license:cc-by-4.0",
"region:us"
] | fill-mask | 2025-10-16T01:05:03Z | # RuBERT-ruLaw
This model is a continued pretraining of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased)
on the [RusLawOD](https://huggingface.co/datasets/irlspbru/RusLawOD) dataset — a large corpus of Russian legal texts (court decisions and normative acts).
The goal of this train... | [
{
"start": 1012,
"end": 1021,
"text": "eval_loss",
"label": "evaluation metric",
"score": 0.6412392854690552
}
] |
bartowski/TheDrummer_Cydonia-ReduX-22B-v1-GGUF | bartowski | 2025-09-17T20:18:52Z | 522 | 5 | null | [
"gguf",
"text-generation",
"base_model:TheDrummer/Cydonia-ReduX-22B-v1",
"base_model:quantized:TheDrummer/Cydonia-ReduX-22B-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-09-17T14:41:00Z | ## Llamacpp imatrix Quantizations of Cydonia-ReduX-22B-v1 by TheDrummer
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b6490">b6490</a> for quantization.
Original model: https://huggingface.co/TheDrummer/Cydonia-ReduX-22B-v1
Al... | [] |
mratsim/Behemoth-X-123B-v2-NVFP4 | mratsim | 2025-11-09T00:26:07Z | 392 | 4 | null | [
"safetensors",
"mistral",
"text adventure",
"roleplay",
"rpg",
"creative writing",
"nvfp4",
"vllm",
"conversational",
"text-generation",
"dataset:neuralmagic/calibration",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:nvidia/OpenCodeInstruct",
"dataset:CSJianYang/CodeArena",
"dataset:... | text-generation | 2025-11-08T19:06:55Z | # Behemoth-X-123B-v2 (NVFP4 quant)
This repo contains Behemoth-X-123B-v2 quantized with NVFP4, a 4-bit compression suitable for max performance on Nvidia RTX 5000s series GPUs.
> ℹ️ This model is limited to Hopper and Blackwell family of GPUs and will not work with RTX 3000s and RTX 4000s GPUs.
> Please use the NVFP4... | [] |
fuutott/Jan-v2-VL-max-Instruct-FP8-GGUF | fuutott | 2026-01-01T23:22:45Z | 402 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"en",
"base_model:janhq/Jan-v2-VL-max-Instruct-FP8",
"base_model:quantized:janhq/Jan-v2-VL-max-Instruct-FP8",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-12-31T17:57:25Z | # fuutott/Jan-v2-VL-max-Instruct-FP8-Q8_0-GGUF
Template fixed. mmproj attached.
This model was converted to GGUF format from [`janhq/Jan-v2-VL-max-Instruct-FP8`](https://huggingface.co/janhq/Jan-v2-VL-max-Instruct-FP8) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-rep... | [] |
darkc0de/XORTRON.CriminalComputing.2026.27B.Instruct-i1-GGUF | darkc0de | 2026-03-17T07:12:47Z | 2,720 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:darkc0de/XORTRON.CriminalComputing.2026.27B.Instruct",
"base_model:quantized:darkc0de/XORTRON.CriminalComputing.2026.27B.Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imat... | null | 2026-03-17T07:12:47Z | ## 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_... | [] |
DiTy/cross-encoder-russian-msmarco | DiTy | 2025-04-03T11:25:25Z | 13,113 | 28 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"bert",
"text-classification",
"transformers",
"rubert",
"cross-encoder",
"reranker",
"msmarco",
"text-ranking",
"ru",
"dataset:unicamp-dl/mmarco",
"base_model:DeepPavlov/rubert-base-cased",
"base_model:finetune:DeepPavlov/rubert-base-cased",
"lice... | text-ranking | 2024-04-19T15:24:56Z | # DiTy/cross-encoder-russian-msmarco
This is a [sentence-transformers](https://www.SBERT.net) model based on a pre-trained [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) and finetuned with [MS-MARCO Russian passage ranking dataset](https://huggingface.co/datasets/unicamp-dl/mmarco)... | [] |
Ihor/gliner-biomed-large-v1.0 | Ihor | 2025-07-16T08:08:07Z | 252 | 15 | gliner | [
"gliner",
"pytorch",
"NER",
"GLiNER",
"information extraction",
"encoder",
"entity recognition",
"biomed",
"token-classification",
"en",
"dataset:anthonyyazdaniml/gliner-biomed-pre-training",
"dataset:anthonyyazdaniml/gliner-biomed-post-training",
"arxiv:2504.00676",
"arxiv:2311.08526",
... | token-classification | 2025-02-19T13:19:17Z | # GLiNER-BioMed
The model was presented in the paper [GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition](https://arxiv.org/abs/2504.00676).
The code is available at [https://github.com/ds4dh/GLiNER-biomed](https://github.com/ds4dh/GLiNER-biomed).
**GLiNER** is a Named Entity Rec... | [] |
Frederic75/SkyReels-V3-14B-GGUF | Frederic75 | 2026-03-02T14:30:51Z | 191 | 1 | null | [
"gguf",
"video-to-video",
"arxiv:2601.17323",
"arxiv:2506.00830",
"license:other",
"region:us"
] | video-to-video | 2026-03-02T14:30:51Z | ## Quantized GGUF version of SkyReels v3 Suit
### 📥 Original Links
**Reference to Video** [https://huggingface.co/Skywork/SkyReels-V3-R2V-14B](https://huggingface.co/Skywork/SkyReels-V3-R2V-14B)
**Video Extension** [https://huggingface.co/Skywork/SkyReels-V3-V2V-14B](https://huggingface.co/Skywork/SkyReels-V3-V2V... | [] |
prithivMLmods/NetraEmbed-GGUF | prithivMLmods | 2025-12-08T21:17:15Z | 256 | 2 | transformers | [
"transformers",
"gguf",
"gemma3",
"text-generation-inference",
"visual-document-retrieval",
"en",
"es",
"fr",
"de",
"it",
"hi",
"mr",
"sa",
"kn",
"te",
"ta",
"ml",
"zh",
"ja",
"ko",
"ar",
"bn",
"gu",
"or",
"pa",
"ru",
"th",
"base_model:Cognitive-Lab/NetraEmbed",... | visual-document-retrieval | 2025-12-08T20:49:31Z | # **NetraEmbed-GGUF**
> [NetraEmbed](https://huggingface.co/Cognitive-Lab/NetraEmbed) from Cognitive-Lab is a state-of-the-art multilingual multimodal embedding model powered by a Gemma3-4B-IT backbone with SigLIP vision encoder, designed for visual document retrieval via BiEncoder architecture that encodes images of ... | [
{
"start": 590,
"end": 605,
"text": "Nayana-IR Bench",
"label": "benchmark name",
"score": 0.9302139282226562
},
{
"start": 626,
"end": 638,
"text": "0.716 NDCG@5",
"label": "evaluation metric",
"score": 0.8127231597900391
}
] |
typhoon-ai/typhoon-whisper-large-v3 | typhoon-ai | 2026-01-23T02:23:42Z | 2,473 | 2 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"th",
"arxiv:2601.13044",
"base_model:openai/whisper-large-v3",
"base_model:finetune:openai/whisper-large-v3",
"license:mit",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2026-01-08T02:03:59Z | # Typhoon Whisper Large v3
**Typhoon Whisper Large v3** is a state-of-the-art Thai Automatic Speech Recognition (ASR) model fine-tuned on the OpenAI Whisper Large v3 architecture. It delivers exceptional accuracy on Thai speech recognition tasks, achieving superior performance through comprehensive training on diverse... | [
{
"start": 2,
"end": 26,
"text": "Typhoon Whisper Large v3",
"label": "benchmark name",
"score": 0.6135977506637573
},
{
"start": 30,
"end": 54,
"text": "Typhoon Whisper Large v3",
"label": "benchmark name",
"score": 0.6245885491371155
},
{
"start": 1075,
"end... |
mradermacher/Kimi-Linear-48B-A3B-Instruct-GGUF | mradermacher | 2026-02-15T11:49:33Z | 180 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:moonshotai/Kimi-Linear-48B-A3B-Instruct",
"base_model:quantized:moonshotai/Kimi-Linear-48B-A3B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-15T01:42:50Z | ## 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... | [] |
mradermacher/MN-14B-Crimson-Veil-i1-GGUF | mradermacher | 2025-12-05T07:33:39Z | 151 | 3 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/MN-14B-Crimson-Veil",
"base_model:quantized:Vortex5/MN-14B-Crimson-Veil",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-03T20:20:49Z | ## 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": 619,
"end": 646,
"text": "MN-14B-Crimson-Veil-i1-GGUF",
"label": "benchmark name",
"score": 0.6523589491844177
}
] |
mradermacher/OpenAI-gpt-oss-20B-GPT5.1-5.2-DISTILL-Heretic-Uncensored-MXFP4-i1-GGUF | mradermacher | 2026-02-15T05:05:20Z | 11,655 | 2 | transformers | [
"transformers",
"gguf",
"uncensored",
"abliterated",
"heretic",
"unsloth",
"en",
"dataset:TeichAI/gpt-5.2-high-reasoning-250x",
"dataset:TeichAI/gpt-5.1-high-reasoning-1000x",
"dataset:TeichAI/gpt-5-codex-1000x",
"base_model:DavidAU/OpenAI-gpt-oss-20B-GPT5.1-5.2-DISTILL-Heretic-Uncensored-MXFP4"... | null | 2026-02-11T03:25:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
llmfan46/Qwen3.5-9B-ultra-uncensored-heretic-v1 | llmfan46 | 2026-03-30T18:32:42Z | 2,855 | 17 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-03T09:12:15Z | <div style="background-color: #ff4444; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I can no longer upload new models u... | [] |
mradermacher/Dare_Angel_8B-GGUF | mradermacher | 2025-09-04T07:20:57Z | 107 | 1 | transformers | [
"transformers",
"gguf",
"pt",
"en",
"dataset:BornSaint/orpo-dpo-mix-40k_portuguese",
"dataset:BornSaint/D33_590d",
"dataset:BornSaint/D33_alignment",
"base_model:BornSaint/Dare_Angel_8B",
"base_model:quantized:BornSaint/Dare_Angel_8B",
"license:llama3.1",
"endpoints_compatible",
"region:us",
... | null | 2025-09-04T04:18:54Z | ## 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": 361,
"end": 374,
"text": "Dare_Angel_8B",
"label": "benchmark name",
"score": 0.6888986229896545
},
{
"start": 511,
"end": 529,
"text": "Dare_Angel_8B-GGUF",
"label": "benchmark name",
"score": 0.7889619469642639
},
{
"start": 613,
"end": 634,
"... |
mradermacher/MN-12B-RP-Ink-Longform-MPOA-GGUF | mradermacher | 2026-03-06T10:50:59Z | 984 | 1 | transformers | [
"transformers",
"gguf",
"roleplay",
"conversational",
"en",
"dataset:SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish",
"base_model:EldritchLabs/MN-12B-RP-Ink-Longform-MPOA",
"base_model:quantized:EldritchLabs/MN-12B-RP-Ink-Longform-MPOA",
"license:apache-2.0",
"endpoints_compatible",
"region:us"... | null | 2026-03-06T09:38:16Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
t-tech/T-pro-it-2.1 | t-tech | 2025-12-23T13:07:48Z | 1,299 | 27 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"ru",
"arxiv:2512.10430",
"base_model:Qwen/Qwen3-32B",
"base_model:finetune:Qwen/Qwen3-32B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-16T07:40:41Z | # T-pro-it-2.1
**🚨 Users are advised to exercise caution and are responsible for any additional training and oversight required to ensure the model's responses meet acceptable ethical and safety standards. The responsibility for incorporating this model into industrial or commercial solutions lies entirely with those... | [
{
"start": 2,
"end": 14,
"text": "T-pro-it-2.1",
"label": "benchmark name",
"score": 0.6495652198791504
},
{
"start": 480,
"end": 492,
"text": "T-pro-it-2.1",
"label": "benchmark name",
"score": 0.7781261205673218
},
{
"start": 1233,
"end": 1245,
"text": "... |
mradermacher/Qwen3-32B-Guardpoint-i1-GGUF | mradermacher | 2026-01-14T20:41:35Z | 5,592 | 2 | transformers | [
"transformers",
"gguf",
"guardpoint",
"valiant",
"valiant-labs",
"qwen",
"qwen-3",
"qwen-3-32b",
"32b",
"reasoning",
"science",
"science-reasoning",
"medicine",
"internal-medicine",
"clinical-diagnosis",
"medical-understanding",
"medical-reasoning",
"medical-diagnosis",
"medical-... | null | 2026-01-14T16:05:41Z | ## 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": 624,
"end": 652,
"text": "Qwen3-32B-Guardpoint-i1-GGUF",
"label": "benchmark name",
"score": 0.6176162958145142
}
] |
mradermacher/MiroThinker-v1.5-30B-GGUF | mradermacher | 2026-01-06T14:25:23Z | 2,870 | 14 | transformers | [
"transformers",
"gguf",
"agent",
"open-source",
"miromind",
"deep-research",
"en",
"base_model:miromind-ai/MiroThinker-v1.5-30B",
"base_model:quantized:miromind-ai/MiroThinker-v1.5-30B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-05T09:37:07Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 521,
"end": 546,
"text": "MiroThinker-v1.5-30B-GGUF",
"label": "benchmark name",
"score": 0.6057854294776917
}
] |
Agnuxo/CAJAL-4B-P2PCLAW | Agnuxo | 2026-05-03T13:36:36Z | 185 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5_text",
"text-generation",
"gguf",
"llama.cpp",
"vllm",
"mlx",
"pytorch",
"onnx",
"llama",
"qwen",
"causal-lm",
"scientific-research",
"papers",
"local",
"quantized",
"research-assistant",
"academic-writing",
"latex",
"citations",
"con... | text-generation | 2026-05-02T09:19:25Z | # CAJAL-4B-P2PCLAW
🧠 **The Research LLM That Fits in Your Pocket**
CAJAL-4B is a 4-billion parameter language model fine-tuned specifically for **scientific paper generation**. Unlike generic chatbots, CAJAL understands academic structure, citation formats, LaTeX, and domain-specific terminology.
Named after **Sant... | [] |
mradermacher/Katkut-3B-GGUF | mradermacher | 2026-03-05T03:23:29Z | 253 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Mojo7/Katkut-3B",
"base_model:quantized:Mojo7/Katkut-3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-14T22:14:29Z | ## 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": 358,
"end": 367,
"text": "Katkut-3B",
"label": "benchmark name",
"score": 0.6673519611358643
},
{
"start": 504,
"end": 518,
"text": "Katkut-3B-GGUF",
"label": "benchmark name",
"score": 0.7589344382286072
},
{
"start": 1214,
"end": 1228,
"text":... |
Qwen/Qwen2.5-14B-Instruct | Qwen | 2024-09-25T12:33:04Z | 1,812,832 | 325 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-14B",
"base_model:finetune:Qwen/Qwen2.5-14B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azu... | text-generation | 2024-09-16T11:56:10Z | # Qwen2.5-14B-Instruct
## Introduction
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
- Significantly **more kno... | [] |
cyankiwi/gemma-4-31B-it-AWQ-8bit | cyankiwi | 2026-04-12T19:01:04Z | 18,748 | 10 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"conversational",
"base_model:google/gemma-4-31B-it",
"base_model:quantized:google/gemma-4-31B-it",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2026-04-02T20:02:39Z | <div align="center">
<img src=https://ai.google.dev/gemma/images/gemma4_banner.png>
</div>
<p align="center">
<a href="https://huggingface.co/collections/google/gemma-4" target="_blank">Hugging Face</a> |
<a href="https://github.com/google-gemma" target="_blank">GitHub</a> |
<a href="https://blog.google... | [] |
unsloth/Kimi-K2-Thinking-BF16 | unsloth | 2025-11-07T09:59:22Z | 111 | 6 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"base_model:moonshotai/Kimi-K2-Thinking",
"base_model:finetune:moonshotai/Kimi-K2-Thinking",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-07T07:28:54Z | <div align="center">
<picture>
<img src="figures/kimi-logo.png" width="30%" alt="Kimi K2: Open Agentic Intellignece">
</picture>
</div>
<hr>
<div align="center" style="line-height:1">
<a href="https://www.kimi.com" target="_blank"><img alt="Chat" src="https://img.shields.io/badge/🤖%20Chat-Kimi%20K2-ff6b6b... | [] |
Outlier-Ai/Outlier-10B-V2 | Outlier-Ai | 2026-04-29T02:06:20Z | 1,935 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"superseded",
"archival",
"mixture-of-experts",
"moe",
"ternary",
"1-bit",
"qwen2.5",
"outlier",
"outlier-moe",
"research",
"overlay",
"sparse",
"local-llm",
"on-device",
"apple-silicon",
"mac",
"conversational",
"e... | text-generation | 2026-04-07T22:08:37Z | > ⚠️ **SUPERSEDED — use [Outlier-Ai/Outlier-10B](https://huggingface.co/Outlier-Ai/Outlier-10B) instead.** These weights are retained live for reproducibility of earlier benchmark runs. All current research has moved to the successor.
# Outlier 10B V2 (Superseded)
Earlier ternary MoE overlay on frozen [Qwen2.5-7B-Ins... | [
{
"start": 36,
"end": 47,
"text": "Outlier-10B",
"label": "benchmark name",
"score": 0.8976501822471619
},
{
"start": 83,
"end": 94,
"text": "Outlier-10B",
"label": "benchmark name",
"score": 0.9277119636535645
},
{
"start": 238,
"end": 249,
"text": "Outli... |
prithivMLmods/Gliese-Qwen3.5-0.8B-Abliterated-Caption | prithivMLmods | 2026-03-11T12:44:25Z | 2,174 | 7 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"pytorch",
"bf16",
"max",
"alignment-modified",
"reasoning",
"conversational",
"en",
"zh",
... | image-text-to-text | 2026-03-11T09:30:44Z | 
# **Gliese-Qwen3.5-0.8B-Abliterated-Caption**
> **Gliese-Qwen3.5-0.8B-Abliterated-Caption** is an abliterated evolution built on top of **Qwen/Qwen3.5-0.8B**, designed specifically for **generalized and unfi... | [] |
OrionLLM/GRM-1.5b | OrionLLM | 2026-04-29T15:51:15Z | 191 | 3 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"reasoning",
"math",
"code",
"general",
"conversational",
"base_model:Qwen/Qwen2.5-1.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-1.5B-Instruct",
"license:apache-2.0",
"eval-results",
"text-generation-inference",
"endpoints_co... | text-generation | 2026-03-13T21:32:45Z | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/685ea8ff7b4139b6845ce395/YF0kEDYMGJhcM3Lbl2EOD.png" alt="logo" width="250">
</p>
**GRM-1.5b** is a **general-purpose reasoning-focused** 1.5B model fine-tuned to improve **multi-domain reasoning** (math, logic, coding, and broad probl... | [
{
"start": 169,
"end": 177,
"text": "GRM-1.5b",
"label": "benchmark name",
"score": 0.8009853959083557
},
{
"start": 996,
"end": 1002,
"text": "AIME24",
"label": "benchmark name",
"score": 0.7706556916236877
},
{
"start": 1005,
"end": 1011,
"text": "AIME25... |
jinaai/jina-colbert-v2 | jinaai | 2025-01-17T08:20:26Z | 206,621 | 143 | null | [
"onnx",
"safetensors",
"ColBERT",
"passage-retrieval",
"custom_code",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"g... | null | 2024-08-16T13:55:02Z | <br><br>
<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>
<p align="center">
<b>Trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
</p>
<p align="center">
<b>JinaColBER... | [] |
TevunahAi/Nemotron-3-Nano-30B-A3B-GPTQ | TevunahAi | 2025-12-25T19:44:30Z | 344 | 2 | gptqmodel | [
"gptqmodel",
"safetensors",
"gptq",
"quantized",
"mamba",
"mamba2",
"moe",
"mixture-of-experts",
"hybrid",
"nemotron",
"nvidia",
"state-space-model",
"4-bit",
"int8",
"int4",
"text-generation",
"conversational",
"en",
"de",
"es",
"fr",
"it",
"ja",
"base_model:nvidia/NVI... | text-generation | 2025-12-25T04:51:17Z | # NVIDIA Nemotron-3-Nano-30B-A3B - TevunahAi Ultra-Hybrid GPTQ
## Model Details
| Property | Value |
|----------|-------|
| **Base Model** | [NVIDIA Nemotron-3-Nano-30B-A3B-BF16](https://huggingface.co/nvidia/Nemotron-3-Nano-30B-A3B) |
| **Architecture** | **HYBRID** (Mamba-2 + MoE + GQA) |
| **Parameters** | 30B tot... | [
{
"start": 411,
"end": 438,
"text": "TevunahAi Ultra-Hybrid GPTQ",
"label": "benchmark name",
"score": 0.6323474645614624
}
] |
mradermacher/ASearcher-Web-14B-i1-GGUF | mradermacher | 2026-01-01T02:13:33Z | 103 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:inclusionAI/ASearcher-train-data",
"base_model:inclusionAI/ASearcher-Web-14B",
"base_model:quantized:inclusionAI/ASearcher-Web-14B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-06T17:30:44Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 620,
"end": 645,
"text": "ASearcher-Web-14B-i1-GGUF",
"label": "benchmark name",
"score": 0.6852292418479919
},
{
"start": 1202,
"end": 1227,
"text": "ASearcher-Web-14B-i1-GGUF",
"label": "benchmark name",
"score": 0.6534572839736938
},
{
"start": 1382,... |
segmind/tiny-sd | segmind | 2023-08-08T07:35:32Z | 9,393 | 87 | diffusers | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dataset:recastai/LAION-art-EN-improved-captions",
"arxiv:2305.15798",
"base_model:SG161222/Realistic_Vision_V4.0_noVAE",
"base_model:finetune:SG161222/Realistic_Vision_V4.0_noVAE",
"license:creativeml-openrail-m",
"en... | text-to-image | 2023-07-27T18:21:36Z | ---
license: creativeml-openrail-m
base_model: SG161222/Realistic_Vision_V4.0
datasets:
- recastai/LAION-art-EN-improved-captions
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# Text-to-image Distillation
This pipeline was distilled from **SG161222/Realistic... | [] |
mradermacher/Aura-7b-i1-GGUF | mradermacher | 2026-03-01T02:57:50Z | 6,230 | 1 | transformers | [
"transformers",
"gguf",
"qwen2",
"unsloth",
"trl",
"sft",
"agentic",
"function-calling",
"tool-use",
"featherlabs",
"en",
"dataset:Featherlabs/featherlabs_agentic_v1",
"base_model:Featherlabs/Aura-7b",
"base_model:quantized:Featherlabs/Aura-7b",
"license:apache-2.0",
"endpoints_compati... | null | 2026-02-28T23:47:58Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 611,
"end": 626,
"text": "Aura-7b-i1-GGUF",
"label": "benchmark name",
"score": 0.6468326449394226
},
{
"start": 1173,
"end": 1188,
"text": "Aura-7b-i1-GGUF",
"label": "benchmark name",
"score": 0.6296288371086121
},
{
"start": 1333,
"end": 1348,
... |
Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice | Qwen | 2026-01-29T08:01:51Z | 255,900 | 131 | null | [
"safetensors",
"qwen3_tts",
"tts",
"qwen",
"audio",
"text-to-speech",
"zh",
"en",
"ja",
"ko",
"de",
"fr",
"ru",
"pt",
"es",
"it",
"arxiv:2601.15621",
"license:apache-2.0",
"region:us"
] | text-to-speech | 2026-01-21T08:57:38Z | # Qwen3-TTS-12Hz-0.6B-CustomVoice
[Qwen3-TTS](https://github.com/QwenLM/Qwen3-TTS) is a series of advanced multilingual, controllable, robust, and streaming text-to-speech models developed by the Qwen team.
This specific checkpoint is the **0.6B CustomVoice** variant, based on the **12Hz** tokenizer. It supports 9 p... | [] |
unsloth/gpt-oss-safeguard-120b-GGUF | unsloth | 2025-10-29T15:53:19Z | 203 | 7 | transformers | [
"transformers",
"gguf",
"vllm",
"unsloth",
"text-generation",
"arxiv:2508.10925",
"base_model:openai/gpt-oss-safeguard-120b",
"base_model:quantized:openai/gpt-oss-safeguard-120b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-29T14:10:43Z | <div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div style="display: flex; gap: 5px; align-items: center; ">
<a href="https://github.com/u... | [] |
cyankiwi/Qwen3.5-9B-AWQ-4bit | cyankiwi | 2026-03-29T21:12:20Z | 246,660 | 14 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2026-03-02T15:17:16Z | # Qwen3.5-9B
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains model weights and configuration files for the post-trained mode... | [] |
inferencerlabs/Kimi-K2-Instruct-MLX-3.9bit | inferencerlabs | 2026-05-04T07:24:13Z | 1,006 | 10 | mlx | [
"mlx",
"text-generation",
"base_model:moonshotai/Kimi-K2-Instruct",
"base_model:finetune:moonshotai/Kimi-K2-Instruct",
"license:other",
"region:us"
] | text-generation | 2025-07-26T07:01:13Z | # NOTICE
This model has been superseded by the higher quality Kimi-K2.6-Q3.5-INF version [available here](https://huggingface.co/inferencerlabs/Kimi-K2.6-MLX-3.5bit-INF)
# INFORMATION
**See Kimi-K2 Dynamic MLX in action - [https://youtu.be/-zfUvA2CDqE](https://youtu.be/-zfUvA2CDqE)**
*q3.985bit dynamic quant typicall... | [
{
"start": 383,
"end": 396,
"text": "q4 perplexity",
"label": "evaluation metric",
"score": 0.8966809511184692
},
{
"start": 410,
"end": 423,
"text": "q3 perplexity",
"label": "evaluation metric",
"score": 0.8979623317718506
},
{
"start": 571,
"end": 576,
... |
jedisct1/MiMo-7B-RL-GGUF | jedisct1 | 2025-04-30T13:23:59Z | 1,281 | 28 | null | [
"gguf",
"llama.cpp",
"quantized",
"mimo",
"reasoning",
"en",
"base_model:XiaomiMiMo/MiMo-7B-RL",
"base_model:quantized:XiaomiMiMo/MiMo-7B-RL",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-04-30T12:09:39Z | # MiMo-7B-RL (GGUF)
This is a GGUF quantized version of [XiaomiMiMo/MiMo-7B-RL](https://huggingface.co/XiaomiMiMo/MiMo-7B-RL), optimized for use with llama.cpp, Ollama, LM Studio, and other GGUF-compatible inference engines. The model has been converted from the original SafeTensors format to GGUF.
## Model Descripti... | [
{
"start": 2,
"end": 12,
"text": "MiMo-7B-RL",
"label": "benchmark name",
"score": 0.6944018006324768
},
{
"start": 324,
"end": 334,
"text": "MiMo-7B-RL",
"label": "benchmark name",
"score": 0.7145028114318848
},
{
"start": 611,
"end": 621,
"text": "MiMo-7... |
second-state/All-MiniLM-L6-v2-Embedding-GGUF | second-state | 2024-05-01T04:35:19Z | 12,189 | 22 | sentence-transformers | [
"sentence-transformers",
"gguf",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"base_model:sentence-transformers/all-MiniLM-L6-v2",
"base_model:quantized:sentence-transformers/all-MiniLM-L6-v2",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"regio... | feature-extraction | 2024-03-12T09:36:26Z | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header ... | [] |
Scicom-intl/Multilingual-Expressive-TTS-1.7B | Scicom-intl | 2026-03-28T14:24:04Z | 1,589 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"en",
"ms",
"zh",
"ta",
"dataset:Scicom-intl/ExpressiveSpeech",
"base_model:Scicom-intl/Multilingual-TTS-1.7B-Base",
"base_model:finetune:Scicom-intl/Multilingual-TTS-1.7B-Base",
"text-generation-inference",
"endp... | text-generation | 2026-03-02T01:46:35Z | # Multilingual-Expressive-TTS-1.7B
Continue pretraining [Scicom-intl/Multilingual-TTS-1.7B-Base](https://huggingface.co/Scicom-intl/Multilingual-TTS-1.7B-Base) on Multilingual Expressive TTS.
1. Use [neucodec](https://huggingface.co/neuphonic/neucodec) as speech detokenizer, 50 TPS, output in 24k sample rate.
2. Mult... | [] |
SyntheticTuringExperienceTechnologies/qwen-3.5-122B-uncensored-stxt | SyntheticTuringExperienceTechnologies | 2026-03-03T19:20:18Z | 1,032 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2026-03-03T19:10:31Z | # This is a decensored version of [Qwen/Qwen3.5-122B-A10B](https://huggingface.co/Qwen/Qwen3.5-122B-A10B), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 41.20 |
| **attn.o_proj.max_weight** | 1.37 |
| **attn... | [
{
"start": 450,
"end": 474,
"text": "mlp.down_proj.max_weight",
"label": "evaluation metric",
"score": 0.6096628904342651
},
{
"start": 490,
"end": 523,
"text": "mlp.down_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.7127032279968262
},
{
"st... |
patronus-studio/wolf-defender-prompt-injection | patronus-studio | 2026-04-15T13:27:26Z | 5,340 | 4 | null | [
"safetensors",
"modernbert",
"prompt-injection",
"security",
"defender",
"llm-guard",
"protectai",
"jailbreaking",
"text-classification",
"de",
"en",
"base_model:jhu-clsp/mmBERT-base",
"base_model:finetune:jhu-clsp/mmBERT-base",
"license:apache-2.0",
"region:us"
] | text-classification | 2026-03-08T11:30:24Z | # Model Card for Wolf-Defender
**High-Performance Prompt Injection Detection Model for Real-World AI Security**
Wolf-Defender is a Multilingual ModernBERT-based ([mmBERT](https://huggingface.co/blog/mmbert)) classifier designed to detect prompt injection attacks in LLM systems.
It was trained with a context length o... | [] |
mradermacher/RP-Spectrum-24B-i1-GGUF | mradermacher | 2026-01-31T16:48:21Z | 2,100 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"rp",
"roleplay",
"role-play",
"DELLA",
"en",
"base_model:Casual-Autopsy/RP-Spectrum-24B",
"base_model:quantized:Casual-Autopsy/RP-Spectrum-24B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-31T15:09:06Z | ## 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_... | [] |
Trendyol/trendyol-dino-v2-ecommerce-256d | Trendyol | 2025-08-27T08:18:16Z | 928 | 14 | transformers | [
"transformers",
"pytorch",
"safetensors",
"trendyol_dinov2",
"feature-extraction",
"image-similarity",
"image-retrieval",
"computer-vision",
"e-commerce",
"dinov2",
"custom_code",
"en",
"dataset:e-commerce-product-images",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | feature-extraction | 2025-08-21T09:12:42Z | # Trendyol DinoV2 Image Similarity Model
This repository contains a fine-tuned DinoV2 model for image similarity and retrieval tasks, specifically trained on e-commerce product images.
## Model Details
- **Model Type**: Image Similarity/Retrieval
- **Architecture**: DinoV2 ViT-B/14 with ArcFace loss
- **Embedding Di... | [] |
mradermacher/gpt-oss-20b-heretic-distilled-MiniMax-M2.1-GGUF | mradermacher | 2025-12-30T01:52:50Z | 526 | 2 | transformers | [
"transformers",
"gguf",
"code",
"vllm",
"conversational",
"en",
"base_model:win10/gpt-oss-20b-heretic-distilled-MiniMax-M2.1",
"base_model:quantized:win10/gpt-oss-20b-heretic-distilled-MiniMax-M2.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-12-29T21:02:39Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: MXFP4_MOE 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: -->... | [] |
BAAI/EVE-7B-HD-v1.0 | BAAI | 2024-07-02T03:52:39Z | 134 | 7 | transformers | [
"transformers",
"pytorch",
"eve",
"text-generation",
"arxiv:2406.11832",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-06-18T02:08:08Z | <div align='center'>
<h1>EVE: Unveiling Encoder-Free Vision-Language Models</h1h1>
<h3><a href="https://arxiv.org/abs/2406.11832">Unveiling Encoder-Free Vision-Language Models</a></h3>
<!-- [Haiwen Diao](https://scholar.google.com/citations?user=46eCjHQAAAAJ&hl=zh-CN)<sup>1*</sup>, [Yufeng Cui](https://scholar.google.... | [] |
mradermacher/GUI-Owl-1.5-32B-Instruct-GGUF | mradermacher | 2026-02-20T12:52:42Z | 142 | 1 | transformers | [
"transformers",
"gguf",
"arxiv:2602.16855",
"en",
"base_model:mPLUG/GUI-Owl-1.5-32B-Instruct",
"base_model:quantized:mPLUG/GUI-Owl-1.5-32B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-16T11:41:08Z | ## 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... | [] |
mradermacher/Llama-3.3-8B-Instruct-i1-GGUF | mradermacher | 2025-12-30T16:16:33Z | 391 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:allura-forge/Llama-3.3-8B-Instruct",
"base_model:quantized:allura-forge/Llama-3.3-8B-Instruct",
"license:llama3.3",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-30T15:16:53Z | ## 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_... | [] |
FriendliAI/Mistral-Large-3-675B-Instruct-2512-BF16 | FriendliAI | 2025-12-23T04:56:39Z | 182 | 1 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"mistral-common",
"vllm",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:mistralai/Mistral-Large-3-675B-Base-2512",
"base_model:finetune:mistralai/Mistral-Large-3-675B-Base-2512",
"l... | text-generation | 2025-12-23T04:15:04Z | # Mistral Large 3 675B Instruct 2512 BF16
This model is a converted version of Mistral Large 3 675B Instruct 2512 (BF16),
with model weight keys and structure adapted for compatibility with the Hugging Face transformers library.
While the original model supports multimodal (image + text → text) inference when loaded ... | [] |
kuleshov-group/mdlm-no_flashattn-fp32-owt | kuleshov-group | 2026-04-11T21:44:16Z | 286 | 5 | transformers | [
"transformers",
"safetensors",
"mdlm",
"fill-mask",
"custom_code",
"en",
"dataset:Skylion007/openwebtext",
"arxiv:2406.07524",
"license:apache-2.0",
"region:us"
] | fill-mask | 2024-06-18T17:39:52Z | ## Using MDLM
To use the pre-trained model for masked language modeling, use the following snippet:
```python
from transformers import AutoModelForMaskedLM, AutoTokenizer
# See the `Caduceus` collection page on the hub for list of available models.
tokenizer = transformers.AutoTokenizer.from_pretrained('gpt2')
model_n... | [] |
RecViking/Mistral-Medium-3.5-128B-NVFP4 | RecViking | 2026-04-30T21:44:43Z | 595 | 1 | null | [
"safetensors",
"mistral3",
"vLLM",
"compressed-tensors",
"nvfp4",
"quantized",
"mistral",
"en",
"fr",
"de",
"es",
"pt",
"it",
"ja",
"ko",
"ru",
"zh",
"ar",
"fa",
"id",
"ms",
"ne",
"pl",
"ro",
"sr",
"sv",
"tr",
"uk",
"vi",
"hi",
"bn",
"base_model:mistrala... | null | 2026-04-30T15:29:02Z | # Mistral-Medium-3.5-128B — NVFP4 (W4A4-FP4)
This is an **NVFP4 (W4A4-FP4)** quantization of `mistralai/Mistral-Medium-3.5-128B`,
produced with [`llm-compressor`](https://github.com/vllm-project/llm-compressor)
v0.10.1.dev121 and saved in the `compressed-tensors` `nvfp4-pack-quantized` format.
The vision tower, multi-... | [] |
mradermacher/Thalia-70B-0307-Clean-i1-GGUF | mradermacher | 2026-03-10T05:13:45Z | 28,401 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Nabbers1999/Thalia-70B-0307-Clean",
"base_model:quantized:Nabbers1999/Thalia-70B-0307-Clean",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-08T19:46:45Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
Menlo/Jan-nano | Menlo | 2025-07-04T01:47:07Z | 5,005 | 503 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2506.22760",
"base_model:Qwen/Qwen3-4B",
"base_model:finetune:Qwen/Qwen3-4B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-06-10T07:11:01Z | # Jan-Nano: An Agentic Model
<sub>*Note: Jan-Nano is a non-thinking model.*</sub>
[](https://github.com/menloresearch/deep-research)
<div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/65713d70f56f9538679e5a5... | [
{
"start": 366,
"end": 374,
"text": "Jan-Nano",
"label": "benchmark name",
"score": 0.6243807077407837
},
{
"start": 559,
"end": 567,
"text": "Jan-Nano",
"label": "benchmark name",
"score": 0.6128700971603394
},
{
"start": 894,
"end": 912,
"text": "SimpleQ... |
Qwen/Qwen2.5-7B-Instruct-1M | Qwen | 2025-01-29T12:39:09Z | 101,237 | 363 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2501.15383",
"base_model:Qwen/Qwen2.5-7B",
"base_model:finetune:Qwen/Qwen2.5-7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-01-23T13:36:32Z | # Qwen2.5-7B-Instruct-1M
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Introduction
Qwen2.5-1M is the long-context version of ... | [] |
Synthyra/Profluent-E1-150M | Synthyra | 2026-04-09T19:43:25Z | 542 | 1 | transformers | [
"transformers",
"safetensors",
"E1",
"fill-mask",
"custom_code",
"arxiv:2412.05496",
"region:us"
] | fill-mask | 2025-11-14T21:43:25Z | # NOTE
The GitHub with the implementation and requirements.txt can be found [here](https://github.com/Synthyra/FastPLMs.git)
# Profluent-E1
[Synthyra's version of Profluent-E1](https://github.com/Synthyra/Profluent-E1-300M) is a faithful implementation of Profluent's [E1](https://www.profluent.bio/showcase/e1) mod... | [] |
bartowski/Meta-Llama-3-8B-Instruct-GGUF | bartowski | 2024-04-29T19:44:45Z | 13,815 | 107 | null | [
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-04-29T16:03:11Z | ## Llamacpp imatrix Quantizations of Meta-Llama-3-8B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> commit <a href="https://github.com/ggerganov/llama.cpp/commit/ffe666572f98a686b17a2cd1dbf4c0a982e5ac0a">ffe6665</a> for quantization.
Original model: https://huggingface.co/meta-llama/Me... | [] |
mradermacher/MiroThinker-14B-DPO-v0.1-i1-GGUF | mradermacher | 2026-01-01T02:09:24Z | 108 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"open-source",
"miromind",
"en",
"base_model:miromind-ai/MiroThinker-14B-DPO-v0.1",
"base_model:quantized:miromind-ai/MiroThinker-14B-DPO-v0.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-08T21:50:14Z | ## 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... | [] |
mlx-community/Qwen3.6-27B-OptiQ-4bit | mlx-community | 2026-04-27T08:37:39Z | 1,565 | 5 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"quantized",
"mixed-precision",
"4bit",
"8bit",
"optiq",
"apple-silicon",
"text-generation",
"qwen3.6",
"conversational",
"base_model:Qwen/Qwen3.6-27B",
"base_model:quantized:Qwen/Qwen3.6-27B",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-04-25T10:12:23Z | # Qwen3.6-27B-OptiQ-4bit
> Optimized for Apple Silicon with [mlx-optiq](https://mlx-optiq.pages.dev/) — sensitivity-aware mixed-precision quantization, reusable at inference, fine-tuning, and serving time.
This is a mixed-precision quantized version of [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B) in ML... | [] |
facebook/xglm-564M | facebook | 2023-01-24T16:35:45Z | 152,472 | 54 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"xglm",
"text-generation",
"multilingual",
"en",
"ru",
"zh",
"de",
"es",
"fr",
"ja",
"it",
"pt",
"el",
"ko",
"fi",
"id",
"tr",
"ar",
"vi",
"th",
"bg",
"ca",
"hi",
"et",
"bn",
"ta",
"ur",
"sw",
"te",
"eu",
"my... | text-generation | 2022-03-02T23:29:05Z | # XGLM-564M
XGLM-564M is a multilingual autoregressive language model (with 564 million parameters) trained on a balanced corpus of a diverse set of 30 languages totaling 500 billion sub-tokens. It was introduced in the paper [Few-shot Learning with Multilingual Language Models](https://arxiv.org/abs/2112.10668) by Xi... | [] |
nivvis/Qwen3.5-35B-A3B-heretic-v2-eq-v1-GGUF | nivvis | 2026-03-20T01:22:10Z | 185 | 1 | null | [
"gguf",
"qwen3.5",
"moe",
"emotional-intelligence",
"eq-bench",
"llama-cpp",
"text-generation",
"en",
"base_model:nivvis/Qwen3.5-35B-A3B-heretic-v2-eq-v1",
"base_model:quantized:nivvis/Qwen3.5-35B-A3B-heretic-v2-eq-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversati... | text-generation | 2026-03-19T21:54:55Z | # Qwen3.5-35B-A3B-heretic-v2-eq-v1-GGUF
GGUF quantizations of [nivvis/Qwen3.5-35B-A3B-heretic-v2-eq-v1](https://huggingface.co/nivvis/Qwen3.5-35B-A3B-heretic-v2-eq-v1) for use with llama.cpp, Ollama, LM Studio, and other GGUF-compatible runtimes.
See the [bf16 model card](https://huggingface.co/nivvis/Qwen3.5-35B-A3B... | [
{
"start": 384,
"end": 392,
"text": "EQ-Bench",
"label": "benchmark name",
"score": 0.6087003350257874
},
{
"start": 885,
"end": 895,
"text": "EQ-Bench 3",
"label": "benchmark name",
"score": 0.7265112400054932
},
{
"start": 899,
"end": 911,
"text": "Rubri... |
unsloth/MiniMax-M2.5-GGUF | unsloth | 2026-02-14T12:34:25Z | 75,448 | 205 | transformers | [
"transformers",
"gguf",
"unsloth",
"minimax_m2",
"text-generation",
"base_model:MiniMaxAI/MiniMax-M2.5",
"base_model:quantized:MiniMaxAI/MiniMax-M2.5",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-02-14T00:57:38Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<h1 style="margin-top: 0rem;">To Run MiniMax-M2.5 locally - <a href="https://docs.unsloth.ai/models/minimax-2.5">Read our Guide!</a></h1>
</p>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf"... | [
{
"start": 94,
"end": 106,
"text": "MiniMax-M2.5",
"label": "benchmark name",
"score": 0.7058863639831543
},
{
"start": 157,
"end": 168,
"text": "minimax-2.5",
"label": "benchmark name",
"score": 0.8368076682090759
},
{
"start": 866,
"end": 877,
"text": "m... |
prithivMLmods/Qwen3-VL-4B-Instruct-Unredacted-MAX | prithivMLmods | 2026-02-21T18:02:54Z | 1,669 | 17 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"vllm",
"pytorch",
"bf16",
"max",
"legal",
"conversational",
"en",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:finetune:Qwe... | image-text-to-text | 2026-02-14T09:32:39Z | 
# **Qwen3-VL-4B-Instruct-Unredacted-MAX**
> **Qwen3-VL-4B-Instruct-Unredacted-MAX** is an unredacted evolution built on top of **Qwen3-VL-4B-Instruct**. This model applies advanced abliterated training strat... | [] |
unsloth/Devstral-Small-2-24B-Instruct-2512-GGUF | unsloth | 2025-12-15T10:16:01Z | 41,053 | 120 | null | [
"gguf",
"mistral3",
"mistral-common",
"unsloth",
"mistral",
"arxiv:2501.19399",
"base_model:mistralai/Devstral-Small-2-24B-Instruct-2512",
"base_model:quantized:mistralai/Devstral-Small-2-24B-Instruct-2512",
"license:other",
"endpoints_compatible",
"fp8",
"region:us",
"conversational"
] | null | 2025-12-10T01:36:17Z | # Read our How to [Run Devstral 2 Guide!](https://docs.unsloth.ai/models/devstral-2)
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div sty... | [] |
BAAI/bge-reranker-base | BAAI | 2024-06-24T14:10:03Z | 2,254,187 | 227 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"xlm-roberta",
"mteb",
"text-embeddings-inference",
"text-classification",
"en",
"zh",
"arxiv:2401.03462",
"arxiv:2312.15503",
"arxiv:2311.13534",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"model-index",
"endpo... | text-classification | 2023-09-11T12:30:04Z | **We have updated the [new reranker](https://github.com/FlagOpen/FlagEmbedding/tree/master/FlagEmbedding/llm_reranker), supporting larger lengths, more languages, and achieving better performance.**
<h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Model List</a> |
... | [] |
NeuML/txtai-wikipedia | NeuML | 2026-04-20T13:42:09Z | 283 | 80 | txtai | [
"txtai",
"sentence-similarity",
"en",
"dataset:NeuML/wikipedia-20260401",
"license:cc-by-sa-3.0",
"license:gfdl",
"region:us"
] | sentence-similarity | 2023-02-20T22:27:30Z | # Wikipedia txtai embeddings index
This is a [txtai](https://github.com/neuml/txtai) embeddings index for the [English edition of Wikipedia](https://en.wikipedia.org/).
This index is built from the [Wikipedia April 2026 dataset](https://huggingface.co/datasets/neuml/wikipedia-20260401). Only the first paragraph of th... | [] |
aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored | aifeifei798 | 2026-01-18T19:15:59Z | 2,141 | 9 | null | [
"safetensors",
"llama",
"roleplay",
"llama3",
"sillytavern",
"idol",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"conversational",
"en",
"arxiv:2204.05149",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"doi:10... | text-generation | 2025-11-13T17:21:05Z | # DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored
## "transformers_version" >= "4.57.1"
## Model Information
The module combination has been readjusted to better fu... | [] |
McGill-NLP/A3-Qwen3.5-2B | McGill-NLP | 2026-04-16T22:13:38Z | 444 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"agents",
"web",
"sft",
"qwen",
"conversational",
"en",
"arxiv:2604.07776",
"base_model:Qwen/Qwen3.5-2B",
"base_model:finetune:Qwen/Qwen3.5-2B",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-06T22:17:33Z | <div align="center">
# A3-Qwen3.5-2B
| [**💾 Code**](https://github.com/McGill-NLP/agent-as-annotators) | [**📄 Paper**](https://huggingface.co/papers/2604.07776) | [**🌐 Website**](https://agent-as-annotators.github.io) |
| :--: | :--: | :--: |
| [**🤗 Dataset**](https://huggingface.co/datasets/McGill-NLP/A3-Synth) ... | [
{
"start": 1379,
"end": 1387,
"text": "WebArena",
"label": "benchmark name",
"score": 0.775781512260437
}
] |
skatzR/USER-BGE-M3-ONNX-INT8 | skatzR | 2025-09-12T06:33:05Z | 178 | 1 | null | [
"onnx",
"xlm-roberta",
"quantization",
"sentence-embeddings",
"semantic-search",
"ru",
"en",
"base_model:deepvk/USER-bge-m3",
"base_model:quantized:deepvk/USER-bge-m3",
"license:apache-2.0",
"region:us"
] | null | 2025-09-08T06:26:35Z | # 🧩 DeepVK-USER-BGE-M3 — Quantized ONNX (INT8)
✨ This repository contains a **quantized INT8 ONNX version** of [`deepvk/USER-bge-m3`](https://huggingface.co/deepvk/USER-bge-m3).
It is designed for **fast CPU inference** with [ONNX Runtime](https://onnxruntime.ai/), making it a great choice for **semantic search, em... | [] |
facebook/mask2former-swin-large-coco-instance | facebook | 2023-09-11T20:35:35Z | 27,540 | 7 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | image-segmentation | 2023-01-02T12:10:40Z | # Mask2Former
Mask2Former model trained on COCO instance segmentation (large-sized version, Swin backbone). It was introduced in the paper [Masked-attention Mask Transformer for Universal Image Segmentation
](https://arxiv.org/abs/2112.01527) and first released in [this repository](https://github.com/facebookresearch/... | [] |
unsloth/Qwen3.5-27B | unsloth | 2026-03-02T14:34:56Z | 39,073 | 12 | null | [
"safetensors",
"qwen3_5",
"qwen3_5_moe",
"unsloth",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-27B",
"base_model:finetune:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2026-02-24T14:54:41Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<h1 style="margin-top: 0rem;">To run Qwen3.5 locally - <a href="https://docs.unsloth.ai/models/qwen3.5">Read our Guide!</a></h1>
</p>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth ... | [] |
mradermacher/MiniMax-M2.1-REAP-40-i1-GGUF | mradermacher | 2026-01-28T23:48:38Z | 365 | 2 | transformers | [
"transformers",
"gguf",
"minimax",
"moe",
"reap",
"pruned",
"text-generation",
"en",
"base_model:0xSero/MiniMax-M2.1-REAP-40",
"base_model:quantized:0xSero/MiniMax-M2.1-REAP-40",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-01-25T05:14:34Z | ## 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_... | [
{
"start": 462,
"end": 482,
"text": "MiniMax-M2.1-REAP-40",
"label": "benchmark name",
"score": 0.6781290173530579
},
{
"start": 619,
"end": 647,
"text": "MiniMax-M2.1-REAP-40-i1-GGUF",
"label": "benchmark name",
"score": 0.7897362112998962
},
{
"start": 721,
... |
huihui-ai/Huihui4-8B-A4B | huihui-ai | 2026-04-27T07:15:43Z | 151 | 6 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"sft",
"Moe",
"Pruned",
"unsloth",
"conversational",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:finetune:google/gemma-4-26B-A4B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-25T02:29:20Z | # 🤖 Huihui4-8B-A4B Model Card
## 📌 Overview
`Huihui4-8B-A4B` is a lightweight MoE (Mixture of Experts) conversational model optimized from Google's `gemma-4-26B-A4B-it` architecture. Through expert pruning and supervised fine-tuning on high-quality dialogue data, this model significantly reduces computational overhe... | [] |
unsloth/GLM-5 | unsloth | 2026-02-12T01:30:37Z | 166 | 17 | transformers | [
"transformers",
"safetensors",
"glm_moe_dsa",
"text-generation",
"conversational",
"en",
"zh",
"base_model:zai-org/GLM-5",
"base_model:finetune:zai-org/GLM-5",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-07T05:46:36Z | # GLM-5
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-5/refs/heads/main/resources/logo.svg width="15%"/>
</div>
<p align="center">
👋 Join our <a href="https://raw.githubusercontent.com/zai-org/GLM-5/refs/heads/main/resources/wechat.png" target="_blank">WeChat</a> or <a href="https://... | [] |
joyfox/LTX-2.3-Transition-LORA | joyfox | 2026-03-30T03:28:58Z | 31,375 | 89 | diffusers | [
"diffusers",
"lora",
"ValiantCat",
"Lightricks",
"LTX-2.3",
"image-to-video",
"en",
"base_model:Lightricks/LTX-2.3",
"base_model:adapter:Lightricks/LTX-2.3",
"license:apache-2.0",
"region:us"
] | image-to-video | 2026-03-20T10:25:10Z | # valiantcat LoRA for LTX-2.3
This LoRA is trained on top of **[Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3)** and is built with a custom training paradigm tailored for high-consistency video generation.
It was originally optimized for **first-frame / last-frame guided transition videos**, but the s... | [] |
mradermacher/X-Coder-SFT-Qwen3-8B-GGUF | mradermacher | 2026-01-10T23:08:10Z | 2,022 | 1 | transformers | [
"transformers",
"gguf",
"code",
"sft",
"competitive-programming",
"en",
"dataset:IIGroup/X-Coder-SFT-376k",
"base_model:IIGroup/X-Coder-SFT-Qwen3-8B",
"base_model:quantized:IIGroup/X-Coder-SFT-Qwen3-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-05T21:36:41Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
cyankiwi/MiniMax-M2.5-AWQ-4bit | cyankiwi | 2026-02-16T12:33:50Z | 15,846 | 9 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"conversational",
"custom_code",
"base_model:MiniMaxAI/MiniMax-M2.5",
"base_model:quantized:MiniMaxAI/MiniMax-M2.5",
"license:other",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | text-generation | 2026-02-15T21:10:10Z | <div align="center">
<svg width="60%" height="auto" viewBox="0 0 144 48" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M26.6782 7.96523C26.6782 7.02436 25.913 6.26087 24.9739 6.26087C24.0348 6.26087 23.2695 7.0261 23.2695 7.96523V36.2139C23.2695 38.4 21.4904 40.1791 19.3043 40.1791C17.1183 40.1791 15.3391 3... | [] |
microsoft/udop-large | microsoft | 2025-12-02T20:34:10Z | 100,802 | 123 | transformers | [
"transformers",
"safetensors",
"udop",
"image-text-to-text",
"vision",
"arxiv:2212.02623",
"license:mit",
"region:us"
] | image-text-to-text | 2024-02-26T09:20:04Z | # UDOP model
The UDOP model was proposed in [Unifying Vision, Text, and Layout for Universal Document Processing](https://arxiv.org/abs/2212.02623) by Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal.
## Model description
UDOP adopts an encoder-decoder T... | [] |
phanerozoic/argus | phanerozoic | 2026-04-27T16:25:15Z | 1,244 | 8 | pytorch | [
"pytorch",
"safetensors",
"argus",
"multi-task-perception",
"computer-vision",
"image-classification",
"semantic-segmentation",
"depth-estimation",
"object-detection",
"keypoint-correspondence",
"vision-transformer",
"custom_code",
"dataset:imagenet-1k",
"dataset:scene_parse_150",
"datas... | depth-estimation | 2026-04-07T14:35:59Z | # Argus
Argus is a multi-task perception system built on a single compact vision backbone. From one forward pass through the encoder, the model produces classification labels, semantic segmentation masks, metric depth maps, object detections with bounding boxes, and dense keypoint correspondences, collapsing five doma... | [] |
mistralai/Mistral-Medium-3.5-128B | mistralai | 2026-05-04T14:16:22Z | 11,950 | 253 | null | [
"safetensors",
"mistral3",
"vLLM",
"en",
"fr",
"de",
"es",
"pt",
"it",
"ja",
"ko",
"ru",
"zh",
"ar",
"fa",
"id",
"ms",
"ne",
"pl",
"ro",
"sr",
"sv",
"tr",
"uk",
"vi",
"hi",
"bn",
"license:other",
"eval-results",
"fp8",
"region:us"
] | null | 2026-03-31T09:50:20Z | # Mistral Medium 3.5 128B
Mistral Medium 3.5 is our first flagship merged model. It is a dense 128B model with a 256k context window, handling instruction-following, reasoning,
and coding in a single set of weights. Mistral Medium 3.5 replaces its predecessor Mistral Medium 3.1 and Magistral in Le Chat. It also replac... | [] |
tomaarsen/t5gemma2-270m-gooaq-cmnrl | tomaarsen | 2026-01-28T14:29:37Z | 300 | 1 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"t5gemma2_encoder",
"sentence-similarity",
"feature-extraction",
"dense",
"generated_from_trainer",
"dataset_size:90000",
"loss:CachedMultipleNegativesRankingLoss",
"en",
"dataset:sentence-transformers/gooaq",
"arxiv:1908.10084",
"arxiv:2101.06983",
... | sentence-similarity | 2026-01-28T14:00:26Z | # T5Gemma2 270M encoder trained on GooAQ triplets using CachedMultipleNegativesRankingLoss
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [google/t5gemma-2-270m-270m](https://huggingface.co/google/t5gemma-2-270m-270m) on the [gooaq](https://huggingface.co/datasets/sentence-transformers/g... | [] |
Qwen/Qwen2.5-VL-7B-Instruct | Qwen | 2025-04-06T16:23:01Z | 4,849,586 | 1,474 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-text-to-text | 2025-01-26T09:26:37Z | ---
license: apache-2.0
language:
- en
pipeline_tag: image-text-to-text
tags:
- multimodal
library_name: transformers
---
# Qwen2.5-VL-7B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5"... | [] |
cyankiwi/granite-4.0-h-tiny-AWQ-4bit | cyankiwi | 2025-10-13T20:25:32Z | 146,832 | 2 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.0-h-tiny",
"base_model:quantized:ibm-granite/granite-4.0-h-tiny",
"license:apache-2.0",
"endpoints_compatible",
"compressed... | text-generation | 2025-10-13T16:24:38Z | # Granite-4.0-H-Tiny 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:** ll... | [] |
diffutron/DiffutronLM-0.3B-Instruct | diffutron | 2026-03-24T07:22:24Z | 158 | 4 | transformers | [
"transformers",
"safetensors",
"modernbert",
"fill-mask",
"mdlm",
"diffusion",
"text-generation",
"conversational",
"tr",
"dataset:turkish-nlp-suite/InstrucTurca",
"arxiv:2603.20466",
"base_model:diffutron/DiffutronLM-0.3B-1st-Stage",
"base_model:finetune:diffutron/DiffutronLM-0.3B-1st-Stage... | text-generation | 2025-11-28T16:42:43Z | # DiffutronLM-0.3B-Instruct
**Diffutron** is a parameter-efficient, Masked Diffusion Language Model (MDLM) specifically designed for the Turkish language. Unlike standard autoregressive models that generate text one token at a time, Diffutron generates text by iteratively refining sequences in parallel, allowing for s... | [
{
"start": 901,
"end": 908,
"text": "PyTorch",
"label": "benchmark name",
"score": 0.6439919471740723
}
] |
mradermacher/Jan-v2-VL-high-i1-GGUF | mradermacher | 2025-12-06T02:34:33Z | 234 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"en",
"base_model:janhq/Jan-v2-VL-high",
"base_model:quantized:janhq/Jan-v2-VL-high",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-14T21:51:56Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 612,
"end": 634,
"text": "Jan-v2-VL-high-i1-GGUF",
"label": "benchmark name",
"score": 0.7041163444519043
},
{
"start": 849,
"end": 868,
"text": "Jan-v2-VL-high-GGUF",
"label": "benchmark name",
"score": 0.644742488861084
},
{
"start": 1333,
"end": ... |
WithinUsAI/Llama3.2-Octo.Thinker.iNano-1B-GGUF | WithinUsAI | 2026-03-30T04:31:36Z | 286 | 2 | gguf | [
"gguf",
"llama",
"llama-3.2",
"text-generation",
"local-llm",
"llama-cpp",
"lm-studio",
"ollama",
"1b",
"en",
"base_model:WithinUsAI/Llama3.2-OctoThinker-iNano-1B",
"base_model:quantized:WithinUsAI/Llama3.2-OctoThinker-iNano-1B",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-30T04:10:23Z | # Llama-3.2-OctoThinker-iNano-1B-GGUF
## Model Summary
**Llama-3.2-OctoThinker-iNano-1B-GGUF** is the GGUF quantized release of the main model:
**Main model repo:**
https://huggingface.co/gss1147/Llama-3.2-OctoThinker-iNano-1B
This repository packages the model for efficient **local inference** in GGUF-compatible... | [] |
x-square-robot/wall-oss-flow | x-square-robot | 2025-09-09T07:24:54Z | 1,347 | 30 | null | [
"safetensors",
"qwen2_5_vl",
"region:us"
] | null | 2025-09-06T10:33:34Z | # WALL-OSS
<div align="left">
<p align="center">
<img src="assets/logo.png" width="600"/>
<p>
<div align="center">
[](https://x2robot.cn-wlcb.ufileos.com/wall_oss.pdf)
[![Hugging Fa... | [] |
mradermacher/Qwen3.5-9B-Uncensored-Safetensors-i1-GGUF | mradermacher | 2026-04-18T11:55:49Z | 3,047 | 2 | transformers | [
"transformers",
"gguf",
"qwen3_5",
"conversational",
"qwen",
"uncensored",
"unfiltered",
"vllm",
"multimodal",
"ablation",
"qwen35",
"en",
"zh",
"base_model:nDimensional/Qwen3.5-9B-Uncensored-Safetensors",
"base_model:quantized:nDimensional/Qwen3.5-9B-Uncensored-Safetensors",
"license:... | null | 2026-03-31T06:55:56Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 638,
"end": 679,
"text": "Qwen3.5-9B-Uncensored-Safetensors-i1-GGUF",
"label": "benchmark name",
"score": 0.6644927263259888
}
] |
mradermacher/gemma-3-4b-it-claude-i1-GGUF | mradermacher | 2025-12-06T02:35:35Z | 113 | 2 | transformers | [
"transformers",
"gguf",
"writing",
"claude",
"distilled",
"en",
"dataset:agentlans/claude",
"base_model:agentlans/gemma-3-4b-it-claude",
"base_model:quantized:agentlans/gemma-3-4b-it-claude",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-01T21:42:47Z | ## 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_... | [
{
"start": 622,
"end": 650,
"text": "gemma-3-4b-it-claude-i1-GGUF",
"label": "benchmark name",
"score": 0.6084260940551758
}
] |
caiovicentino1/Qwopus3.5-27B-v3-HLWQ-v7-GPTQ | caiovicentino1 | 2026-04-13T18:52:10Z | 627 | 4 | null | [
"safetensors",
"qwen3_5",
"hlwq",
"quantized",
"gptq",
"int4",
"vllm",
"marlin",
"text-generation",
"conversational",
"arxiv:2502.02617",
"arxiv:2603.29078",
"base_model:Jackrong/Qwopus3.5-27B-v3",
"base_model:quantized:Jackrong/Qwopus3.5-27B-v3",
"license:apache-2.0",
"model-index",
... | text-generation | 2026-04-08T23:13:57Z | > [!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": 113,
"end": 117,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.6145985126495361
},
{
"start": 360,
"end": 364,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.6154140830039978
},
{
"start": 809,
"end": 813,
"text": "HLWQ",
"lab... |
stabilityai/stablelm-2-1_6b-chat | stabilityai | 2024-06-03T15:18:01Z | 1,965 | 35 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"causal-lm",
"conversational",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"dataset:meta-math/MetaMathQA",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:openchat/ope... | text-generation | 2024-04-08T14:51:24Z | # `StableLM 2 Chat 1.6B`
## Model Description
`Stable LM 2 Chat 1.6B` is a 1.6 billion parameter instruction tuned language model inspired by [HugginFaceH4's Zephyr 7B](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) training pipeline. The model is trained on a mix of publicly available datasets and synthetic da... | [] |
RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic | RedHatAI | 2025-12-12T18:31:23Z | 31,971 | 15 | null | [
"safetensors",
"llama",
"facebook",
"meta",
"llama-3",
"fp8",
"quantized",
"conversational",
"text-generation-inference",
"compressed-tensors",
"text-generation",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:meta-llama/Llama-3.3-70B-Instruct",
"base_model:quant... | text-generation | 2024-12-11T15:44:06Z | <h1 style="display: flex; align-items: center; gap: 10px; margin: 0;">
Llama-3.3-70B-Instruct-FP8-dynamic
<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/products/ai/validated... | [] |
impira/layoutlm-document-qa | impira | 2023-03-18T00:54:24Z | 25,251 | 1,169 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"layoutlm",
"document-question-answering",
"pdf",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | document-question-answering | 2022-08-07T21:07:19Z | # LayoutLM for Visual Question Answering
This is a fine-tuned version of the multi-modal [LayoutLM](https://aka.ms/layoutlm) model for the task of question answering on documents. It has been fine-tuned using both the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) and [DocVQA](https://www.docvqa.org/) datasets.
... | [] |
DavidAU/L3-8B-Stheno-v3.3-32K-Ultra-NEO-V1-IMATRIX-GGUF | DavidAU | 2025-07-28T00:11:23Z | 1,350 | 16 | null | [
"gguf",
"story",
"general usage",
"roleplay",
"creative",
"rp",
"fantasy",
"story telling",
"ultra high precision",
"llama-3",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2024-06-25T03:18:51Z | <B>NEO CLASS Ultra Quants for : L3-8B-Stheno-v3.3 - 32k </B>
The NEO Class tech was created after countless investigations and over 120 lab experiments backed by
real world testing and qualitative results.
<b>NEO Class results: </b>
Better overall function, instruction following, output quality and stronger connecti... | [
{
"start": 3,
"end": 12,
"text": "NEO CLASS",
"label": "benchmark name",
"score": 0.6489534974098206
},
{
"start": 66,
"end": 75,
"text": "NEO Class",
"label": "benchmark name",
"score": 0.6590046286582947
},
{
"start": 211,
"end": 220,
"text": "NEO Class"... |
adriangg04/TheLastOfUs-QA | adriangg04 | 2026-03-28T15:12:26Z | 246 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"agent",
"question-answering",
"the-last-of-us",
"qwen",
"fine-tuned",
"conversational",
"en",
"dataset:adriangg04/the-last-of-us-instruction-dataset",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Ins... | text-generation | 2026-03-15T19:17:21Z | [](https://github.com/4drian04/qwen-7b-tlou-qa-finetuning)
# TheLastOfUs-QA: Fine-tuned Model on Qwen2.5-7B-Instructed for The Last of Us
This model is a fine-tuned version of the base model <a href="https://huggingface.co/Qwen/Qw... | [] |
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