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 |
|---|---|---|---|---|---|---|---|---|---|---|
mradermacher/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated-GGUF | mradermacher | 2026-03-22T12:03:13Z | 2,803 | 1 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"Claude",
"reasoning",
"chain-of-thought",
"Dense",
"en",
"base_model:huihui-ai/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated",
"license:apache-2.0",
"endpoint... | null | 2026-03-22T09:08:38Z | ## 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... | [] |
allenai/SERA-8B | allenai | 2026-02-03T07:44:33Z | 1,111 | 40 | null | [
"safetensors",
"qwen3",
"arxiv:2601.20789",
"license:apache-2.0",
"region:us"
] | null | 2026-01-27T19:01:59Z | # SERA-8B
**SERA-8B** is the third model in Ai2's [Open Coding Agents](https://huggingface.co/collections/allenai/open-coding-agents) series. It is a state-of-the-art 8B open-source coding agent that achieves **31.7%** on SWE-bench Verified.
- **Paper:** [https://allenai.org/papers/opencodingagents](https://allenai.o... | [] |
OpenMed/OpenMed-PII-Italian-ClinicalBGE-Large-335M-v1 | OpenMed | 2026-02-10T18:58:24Z | 16,462 | 1 | transformers | [
"transformers",
"safetensors",
"bert",
"token-classification",
"ner",
"pii",
"pii-detection",
"de-identification",
"privacy",
"healthcare",
"medical",
"clinical",
"phi",
"italian",
"pytorch",
"openmed",
"it",
"base_model:BAAI/bge-large-en-v1.5",
"base_model:finetune:BAAI/bge-larg... | token-classification | 2026-02-10T18:57:59Z | # OpenMed-PII-Italian-ClinicalBGE-Large-335M-v1
**Italian PII Detection Model** | 335M Parameters | Open Source
[]() []() [](... | [
{
"start": 187,
"end": 196,
"text": "Precision",
"label": "evaluation metric",
"score": 0.6207106709480286
},
{
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"end": 1325,
"text": "Precision",
"label": "evaluation metric",
"score": 0.7598955035209656
}
] |
llm-semantic-router/mmbert32k-pii-detector-merged | llm-semantic-router | 2026-03-06T02:22:58Z | 5,123 | 2 | null | [
"onnx",
"safetensors",
"modernbert",
"pii-detection",
"token-classification",
"mmbert",
"32k-context",
"semantic-router",
"en",
"dataset:ai4privacy/pii-masking-400k",
"dataset:Presidio",
"base_model:llm-semantic-router/mmbert-32k-yarn",
"base_model:quantized:llm-semantic-router/mmbert-32k-ya... | token-classification | 2026-01-31T20:54:47Z | # mmBERT-32K PII Detector (Merged)
Full merged model for PII (Personally Identifiable Information) detection, ready for direct inference. Based on mmBERT-32K-YaRN with 32K context length support.
## Model Details
| Property | Value |
|----------|-------|
| Base Model | [llm-semantic-router/mmbert-32k-yarn](https://h... | [] |
unsloth/Qwen3-VL-8B-Instruct-unsloth-bnb-4bit | unsloth | 2025-10-31T14:19:28Z | 34,379 | 19 | null | [
"safetensors",
"qwen3_vl",
"unsloth",
"image-text-to-text",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-8B-Instruct",
"license:apache-2.0",
"4-bit",
"bitsandbyt... | image-text-to-text | 2025-10-14T10:09:20Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See our <a href="https://huggingface.co/collections/unsloth/qwen3-vl">Qwen3-VL collection</a> for all versions including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Qwen3-VL correctly - <a href="https... | [
{
"start": 125,
"end": 133,
"text": "qwen3-vl",
"label": "benchmark name",
"score": 0.7401731014251709
},
{
"start": 135,
"end": 143,
"text": "Qwen3-VL",
"label": "benchmark name",
"score": 0.8229033350944519
},
{
"start": 186,
"end": 190,
"text": "GGUF",
... |
akoumpa/Devstral-Small-2-24B-Instruct-2512-BF16 | akoumpa | 2026-03-16T19:24:42Z | 7,278 | 1 | vllm | [
"vllm",
"safetensors",
"mistral3",
"mistral-common",
"arxiv:2501.19399",
"base_model:mistralai/Devstral-Small-2-24B-Instruct-2512",
"base_model:finetune:mistralai/Devstral-Small-2-24B-Instruct-2512",
"license:apache-2.0",
"region:us"
] | null | 2025-12-16T11:19:51Z | # Devstral Small 2 24B Instruct 2512
**BF16 checkpoint without any fine-tuning**; Original checkpoint (BF16 + FP8) available [here](https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512).
Devstral is an agentic LLM for software engineering tasks. **Devstral Small 2** excels at using tools to explore cod... | [] |
mradermacher/ColdBrew-Nemo-12B-Arcane-Fusion-Combined-Thinker-i1-GGUF | mradermacher | 2025-12-29T03:26:25Z | 2,352 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:SvalTek/ColdBrew-Nemo-12B-Arcane-Fusion-Combined-Thinker",
"base_model:quantized:SvalTek/ColdBrew-Nemo-12B-Arcane-Fusion-Combined-Thinker",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-29T00:30:54Z | ## 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_... | [] |
ConicCat/Qwen3.5-27B-Writer | ConicCat | 2026-03-15T18:57:36Z | 542 | 27 | null | [
"safetensors",
"qwen3_5",
"dataset:ConicCat/Gutenberg-SFT",
"dataset:PJMixers-Dev/C2-Logs-Sonnet-4.5-all",
"dataset:ConicCat/AntiRep",
"dataset:ConicCat/Condor-SFT-Filtered",
"base_model:Qwen/Qwen3.5-27B",
"base_model:finetune:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"region:us"
] | null | 2026-03-04T20:34:58Z | # ConicCat/Qwen3.5-27B-Writer
A writing & roleplay finetune of Qwen3.5 27B. The primary emphasis is on writing quality as it strongly generalizes across both domains. This model is also trained from ConicCat/Qwen3.5-Antirep-27B to mitigate repetition issues.
The basic idea is to use a curriculum learning setup to ove... | [] |
mradermacher/sage-reasoning-3b-i1-GGUF | mradermacher | 2026-02-13T02:16:06Z | 589 | 2 | transformers | [
"transformers",
"gguf",
"en",
"ko",
"fr",
"zh",
"es",
"base_model:sagea-ai/sage-reasoning-3b",
"base_model:quantized:sagea-ai/sage-reasoning-3b",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-22T09:43:04Z | ## 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_... | [] |
utrobinmv/tts_ru_free_hf_vits_low_multispeaker | utrobinmv | 2025-08-25T17:07:34Z | 1,394 | 22 | transformers | [
"transformers",
"onnx",
"safetensors",
"vits",
"text-to-audio",
"text-to-speech",
"ru",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2024-04-28T09:01:05Z | # Text to Speech Russian free multispeaker UtrobinTTS model
This is a multiple speakers text-to-speech model UtrobinTTS for the Russian language. It works on plain text with punctuation separation, and does not require prior conversion of the text into phonemes.
The model with multiple speakers has two voices: 0 - wom... | [] |
marcoyang/spear-xlarge-speech-audio | marcoyang | 2026-02-03T18:57:12Z | 32,299 | 4 | null | [
"safetensors",
"spear",
"custom_code",
"arxiv:2510.25955",
"arxiv:2310.11230",
"arxiv:2105.01051",
"arxiv:2203.03022",
"region:us"
] | null | 2025-11-02T16:19:40Z | # SPEAR XLarge (speech + general audio)
This is the [SPEAR](https://arxiv.org/abs/2510.25955) XLarge dual-domain (speech + general audio) model. The model adopts a [Zipformer](https://arxiv.org/abs/2310.11230) backbone with 597M parameters consisting of 13 Zipformer stacks. It generates 1280-dimmensional representatio... | [
{
"start": 2,
"end": 7,
"text": "SPEAR",
"label": "benchmark name",
"score": 0.6341561675071716
},
{
"start": 54,
"end": 59,
"text": "SPEAR",
"label": "benchmark name",
"score": 0.6663565635681152
}
] |
mradermacher/Luna-7B-A4B-PaperWitch-heresy-i1-GGUF | mradermacher | 2026-02-17T23:26:42Z | 297 | 2 | transformers | [
"transformers",
"gguf",
"roleplay",
"chat",
"rp",
"character",
"waifu",
"natural converation",
"creative writing",
"storytelling",
"sfw",
"MoE",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"vi",
"base_model:MuXodious/Luna-7B-A4B-PaperWitch-heresy",
"base... | null | 2026-02-17T20:35:05Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 631,
"end": 668,
"text": "Luna-7B-A4B-PaperWitch-heresy-i1-GGUF",
"label": "benchmark name",
"score": 0.6615204215049744
}
] |
mistralai/Mistral-Nemo-Base-2407 | mistralai | 2025-07-28T17:17:25Z | 77,327 | 342 | vllm | [
"vllm",
"safetensors",
"mistral",
"mistral-common",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ru",
"zh",
"ja",
"license:apache-2.0",
"region:us"
] | null | 2024-07-18T10:26:55Z | # Model Card for Mistral-Nemo-Base-2407
The Mistral-Nemo-Base-2407 Large Language Model (LLM) is a pretrained generative text model of 12B parameters trained jointly by Mistral AI and NVIDIA, it significantly outperforms existing models smaller or similar in size.
For more details about this model please refer to our... | [
{
"start": 644,
"end": 656,
"text": "Mistral Nemo",
"label": "benchmark name",
"score": 0.6294820308685303
},
{
"start": 1017,
"end": 1022,
"text": "Score",
"label": "evaluation metric",
"score": 0.6557175517082214
},
{
"start": 1041,
"end": 1050,
"text": ... |
mradermacher/Harvey-9B-i1-GGUF | mradermacher | 2026-04-12T08:47:39Z | 1,773 | 2 | transformers | [
"transformers",
"gguf",
"legal",
"el-salvador",
"jurisprudence",
"en",
"es",
"base_model:Aquiles-ai/Harvey-9B",
"base_model:quantized:Aquiles-ai/Harvey-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-04-11T13:41:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 612,
"end": 629,
"text": "Harvey-9B-i1-GGUF",
"label": "benchmark name",
"score": 0.7799354791641235
},
{
"start": 703,
"end": 717,
"text": "Harvey-9B-GGUF",
"label": "benchmark name",
"score": 0.6765535473823547
},
{
"start": 839,
"end": 853,
"... |
aixk/Qwen2.5-0.5B-Instruct-GGUF | aixk | 2026-04-23T12:22:54Z | 438 | 1 | null | [
"gguf",
"text-generation",
"en",
"ko",
"ja",
"es",
"ru",
"fr",
"pt",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-04-21T02:29:28Z | <div align="center">
<img src="https://cdn.jsdelivr.net/gh/sllkx/icons@main/logo/isai2.png" alt="ISAI Logo" width="160" style="border-radius: 30px; box-shadow: 0 4px 12px rgba(0,0,0,0.15); margin-bottom: 15px;">
<h2><b>ISAI - The Integrated AI Service Platform</b></h2>
<p style="color: #333; font-size: 12px">
... | [] |
ByteDance/MegaTTS3 | ByteDance | 2025-04-04T06:55:47Z | 120 | 417 | null | [
"safetensors",
"text-to-speech",
"en",
"zh",
"arxiv:2502.18924",
"arxiv:2408.16532",
"license:apache-2.0",
"region:us"
] | text-to-speech | 2025-03-28T16:43:26Z | # Model Description
This is a huggingface model card for MegaTTS 3 👋
- Paper: [MegaTTS 3: Sparse Alignment Enhanced Latent Diffusion Transformer for Zero-Shot Speech Synthesis](https://huggingface.co/papers/2502.18924)
- Project Page (Audio Samples): <https://sditdemo.github.io/sditdemo/>
- github: <https://git... | [] |
agentscope-ai/QwenPaw-Flash-9B-Q4_K_M | agentscope-ai | 2026-04-09T11:46:03Z | 3,790 | 5 | null | [
"gguf",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-30T14:14:40Z | # QwenPaw-Flash
**QwenPaw-Flash** is a lightweight model deeply optimized for the QwenPaw autonomous agent scenario. Since its training phase, the model has been specifically refined for QwenPaw tasks, delivering enhanced agentic performance in tool invocation, command execution, memory management, and multi-step plann... | [] |
Thalesian/cuneiformBase-400m | Thalesian | 2026-02-20T00:02:18Z | 5,681 | 4 | transformers | [
"transformers",
"safetensors",
"umt5",
"text2text-generation",
"cuneiform",
"translation",
"transliteration",
"akkadian",
"sumerian",
"hittite",
"linear-b",
"elamite",
"ancient-languages",
"seq2seq",
"akk",
"sux",
"hit",
"gmy",
"elx",
"en",
"de",
"base_model:google/umt5-bas... | translation | 2026-02-19T23:51:30Z | # cuneiformBase-400m
Introducing cuneiformBase-400m, a multilingual model capable of handling translation, transliteration, and script conversion tasks across multiple ancient languages: **Akkadian**, **Sumerian**, **Hittite**, **Linear B**, and **Elamite**.
## 1. Model Description
This is an instruct model based o... | [] |
bartowski/allenai_Olmo-3-32B-Think-GGUF | bartowski | 2025-11-21T19:07:18Z | 696 | 1 | null | [
"gguf",
"text-generation",
"en",
"base_model:allenai/Olmo-3-32B-Think",
"base_model:quantized:allenai/Olmo-3-32B-Think",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-11-21T15:11:21Z | ## Llamacpp imatrix Quantizations of Olmo-3-32B-Think by allenai
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/b7120">b7120</a> for quantization.
Original model: https://huggingface.co/allenai/Olmo-3-32B-Think
All quants made ... | [] |
mradermacher/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic-GGUF | mradermacher | 2025-12-23T17:56:51Z | 108 | 1 | transformers | [
"transformers",
"gguf",
"Llama3.1",
"SuperNova",
"Uncensored",
"Heretic",
"mergekit",
"merge",
"en",
"base_model:ChiKoi7/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic",
"base_model:quantized:ChiKoi7/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic",
"license:llama3.1",
"endpoints_comp... | null | 2025-12-23T15:33:07Z | ## 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": 547,
"end": 602,
"text": "Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic-GGUF",
"label": "benchmark name",
"score": 0.6593224406242371
}
] |
bullerwins/FLUX.1-Kontext-dev-GGUF | bullerwins | 2025-06-26T17:03:13Z | 4,686 | 245 | diffusion-single-file | [
"diffusion-single-file",
"gguf",
"image-generation",
"flux",
"image-to-image",
"en",
"arxiv:2506.15742",
"base_model:black-forest-labs/FLUX.1-Kontext-dev",
"base_model:quantized:black-forest-labs/FLUX.1-Kontext-dev",
"license:other",
"region:us"
] | image-to-image | 2025-06-26T16:26:45Z | Created with [city96/ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF)
Example workflow added in files
`FLUX.1 Kontext [dev]` is a 12 billion parameter rectified flow transformer capable of editing images based on text instructions.
For more information, please read our [blog post](https://bfl.ai/announcements/f... | [] |
bartowski/google_gemma-4-26B-A4B-it-GGUF | bartowski | 2026-05-03T19:20:37Z | 283,260 | 113 | null | [
"gguf",
"image-text-to-text",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:quantized:google/gemma-4-26B-A4B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2026-04-02T16:00:56Z | ## Llamacpp imatrix Quantizations of gemma-4-26B-A4B-it by google
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/b8746">b8746</a> for quantization.
Original model: https://huggingface.co/google/gemma-4-26B-A4B-it
All quants mad... | [] |
unsloth/functiongemma-270m-it-GGUF | unsloth | 2026-01-15T03:33:41Z | 4,201 | 86 | transformers | [
"transformers",
"gguf",
"gemma3",
"gemma",
"google",
"functiongemma",
"unsloth",
"text-generation",
"base_model:google/functiongemma-270m-it",
"base_model:quantized:google/functiongemma-270m-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-12-18T07:58:12Z | # Read our How to Run & Fine-tune [FunctionGemma Guide!](https://docs.unsloth.ai/models/functiongemma)
<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>... | [] |
TheBloke/Luna-AI-Llama2-Uncensored-GGUF | TheBloke | 2023-09-27T12:48:10Z | 5,082 | 67 | transformers | [
"transformers",
"gguf",
"llama",
"base_model:Tap-M/Luna-AI-Llama2-Uncensored",
"base_model:quantized:Tap-M/Luna-AI-Llama2-Uncensored",
"license:cc-by-sa-4.0",
"region:us"
] | null | 2023-09-06T02:12:58Z | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | [] |
deepseek-ai/DeepSeek-OCR | deepseek-ai | 2025-11-04T02:36:12Z | 2,920,456 | 3,191 | transformers | [
"transformers",
"safetensors",
"deepseek_vl_v2",
"feature-extraction",
"deepseek",
"vision-language",
"ocr",
"custom_code",
"image-text-to-text",
"multilingual",
"arxiv:2510.18234",
"license:mit",
"eval-results",
"region:us"
] | image-text-to-text | 2025-10-17T06:22:05Z | <div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek AI" />
</div>
<hr>
<div align="center">
<a href="https://www.deepseek.com/" target="_blank">
<img alt="Homepage" src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figu... | [] |
stablediffusiontutorials/stable-diffusion-v1.5 | stablediffusiontutorials | 2024-09-27T16:54:02Z | 1,214 | 7 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"arxiv:2207.12598",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:1910.09700",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"... | text-to-image | 2024-09-08T09:35:29Z | # Stable Diffusion v1-5 Model Card
### Note: ⚠️ This repository is a mirror of the now deprecated ruwnayml/stable-diffusion-v1-5, this repository or oganization are not affiliated in any way with RunwayML. If you are a liable party, you can request for legal removal.
Stable Diffusion is a latent text-to-image diffusi... | [] |
duongve/NetaYume-Lumina-Image-2.0-Diffusers-v40 | duongve | 2025-12-29T12:12:09Z | 255 | 2 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"base_model:Alpha-VLLM/Lumina-Image-2.0",
"base_model:finetune:Alpha-VLLM/Lumina-Image-2.0",
"license:apache-2.0",
"diffusers:Lumina2Pipeline",
"region:us"
] | text-to-image | 2025-12-29T11:08:43Z | **1. Usage**
```python
import torch
from diffusers import Lumina2Pipeline
pipe = Lumina2Pipeline.from_pretrained("duongve/NetaYume-Lumina-Image-2.0-Diffusers-v40", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power
prom... | [] |
eaddario/GLM-4.6V-Flash-GGUF | eaddario | 2026-01-02T09:43:47Z | 142 | 2 | null | [
"gguf",
"quant",
"experimental",
"target_bpw",
"image-text-to-text",
"zh",
"en",
"dataset:eaddario/imatrix-calibration",
"arxiv:2507.01006",
"base_model:zai-org/GLM-4.6V-Flash",
"base_model:quantized:zai-org/GLM-4.6V-Flash",
"license:mit",
"endpoints_compatible",
"region:us",
"conversati... | image-text-to-text | 2025-12-27T17:07:51Z | # Experimental global target bits‑per‑weight quantization of zai-org/GLM-4.6V-Flash
Using **non-standard** (forked) [LLaMA C++][llm] release [b7540][llm-rel] for quantization.
Original model: [zai-org/GLM-4.6V-Flash][mdl]
From the original model creators:
> This model is part of the GLM-V family of models, introduced... | [] |
mradermacher/LongVideo-R1-Qwen2.5-i1-GGUF | mradermacher | 2026-03-08T11:45:07Z | 4,708 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:ChurchillQAQ/LongVideo-R1-Qwen2.5",
"base_model:quantized:ChurchillQAQ/LongVideo-R1-Qwen2.5",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-08T08:31:36Z | ## 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_... | [] |
ash12321/flux-detector-vit | ash12321 | 2025-12-31T17:45:49Z | 173 | 1 | null | [
"safetensors",
"vit",
"image-classification",
"ai-detection",
"flux",
"vision-transformer",
"fake-detection",
"en",
"dataset:huggan/wikiart",
"dataset:ash12321/flux-1-dev-generated-10k",
"license:apache-2.0",
"model-index",
"region:us"
] | image-classification | 2025-12-31T17:30:03Z | # FLUX Detector - Vision Transformer
## Model Description
This model is a **specialized binary classifier** trained to detect images generated by **FLUX.1-dev** (Black Forest Labs). It achieves **99.85% accuracy** with **ZERO false positives** on held-out test data.
### Key Features
- 🎯 **Specialist Detector**: Op... | [
{
"start": 727,
"end": 734,
"text": "AUC-ROC",
"label": "evaluation metric",
"score": 0.7427401542663574
}
] |
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | deepseek-ai | 2025-02-24T03:31:29Z | 972,012 | 1,525 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:2501.12948",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-01-20T09:19:00Z | # DeepSeek-R1
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div align="center... | [] |
ZJU-AI4H/Hulu-Med-32B | ZJU-AI4H | 2025-11-27T07:00:17Z | 220 | 51 | transformers | [
"transformers",
"safetensors",
"hulumed_qwen2",
"text-generation",
"medical",
"multimodal",
"vision-language-model",
"image-to-text",
"video-understanding",
"3d-understanding",
"qwen",
"pytorch",
"image-text-to-text",
"conversational",
"custom_code",
"arxiv:2510.08668",
"license:apac... | image-text-to-text | 2025-10-09T02:28:34Z | <div style="display: flex; align-items: center; justify-content: center;">
<h1 style="margin: 0; text-align: left;">
Hulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding
</h1>
</div>
<div align="center">
[](https:/... | [] |
Qwen/Qwen2-Audio-7B | Qwen | 2024-11-20T09:21:08Z | 6,355 | 166 | transformers | [
"transformers",
"safetensors",
"qwen2_audio",
"text2text-generation",
"chat",
"audio",
"audio-text-to-text",
"en",
"arxiv:2407.10759",
"arxiv:2311.07919",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | audio-text-to-text | 2024-07-16T07:59:04Z | # Qwen2-Audio-7B
## Introduction
Qwen2-Audio is the new series of Qwen large audio-language models. Qwen2-Audio is capable of accepting various audio signal inputs and performing audio analysis or direct textual responses with regard to speech instructions. We introduce two distinct audio interaction modes:
* voice ... | [] |
mradermacher/gpt-oss-20b-RichardErkhov-heresy-GGUF | mradermacher | 2026-02-07T21:10:18Z | 416 | 1 | transformers | [
"transformers",
"gguf",
"vllm",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/gpt-oss-20b-RichardErkhov-heresy",
"base_model:quantized:MuXodious/gpt-oss-20b-RichardErkhov-heresy",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational... | null | 2026-02-07T16:15:25Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
caiovicentino1/Qwopus-MoE-35B-A3B-HLWQ-Q5 | caiovicentino1 | 2026-04-14T20:39:36Z | 1,605 | 4 | null | [
"safetensors",
"qwen3_5_moe",
"hlwq",
"compressed-tensors",
"int4",
"moe",
"mixture-of-experts",
"vllm",
"marlin",
"qwen3.5",
"text-generation",
"conversational",
"arxiv:2502.02617",
"arxiv:2603.29078",
"base_model:samuelcardillo/Qwopus-MoE-35B-A3B",
"base_model:quantized:samuelcardill... | text-generation | 2026-04-06T21:47:58Z | > [!IMPORTANT]
> **Naming notice (2026-04-10).** The "HLWQ" technique used in this model is being rebranded to **HLWQ (Hadamard-Lloyd Weight Quantization)**. The change is only the name; the algorithm and the weights in this repository are unchanged.
>
> The rebrand resolves a name collision with an unrelated, earlier ... | [
{
"start": 54,
"end": 58,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.8769882321357727
},
{
"start": 113,
"end": 117,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.9293930530548096
},
{
"start": 360,
"end": 364,
"text": "HLWQ",
"label... |
tencent/HunyuanVideo-Foley | tencent | 2025-09-29T06:09:52Z | 269 | 159 | hunyuanvideo-foley | [
"hunyuanvideo-foley",
"text-to-audio",
"video-to-audio",
"text-video-to-audio",
"en",
"zh",
"arxiv:2508.16930",
"license:other",
"region:us"
] | text-to-audio | 2025-08-21T07:02:42Z | <div align="center">
<img src="assets/logo.png" alt="HunyuanVideo-Foley Logo" width="400">
<h4>Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation</h4>
<p align="center">
<strong>Professional-grade AI sound effect generation for video content creators</strong>
</p>
<div a... | [] |
timm/mobilenetv3_small_100.lamb_in1k | timm | 2025-10-19T16:12:11Z | 14,585,807 | 56 | timm | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"transformers",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1905.02244",
"license:apache-2.0",
"region:us"
] | image-classification | 2022-12-16T05:38:36Z | # Model card for mobilenetv3_small_100.lamb_in1k
A MobileNet-v3 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* A LAMB optimizer based recipe that is similar to [ResNet Strikes Back](https://arxiv.org/abs/2110.00476) `A2` but 50% longer with EMA w... | [
{
"start": 315,
"end": 335,
"text": "EMA weight averaging",
"label": "evaluation metric",
"score": 0.7210168242454529
}
] |
TheBloke/deepseek-coder-1.3b-instruct-GGUF | TheBloke | 2023-11-05T16:38:23Z | 9,068 | 53 | transformers | [
"transformers",
"gguf",
"deepseek",
"base_model:deepseek-ai/deepseek-coder-1.3b-instruct",
"base_model:quantized:deepseek-ai/deepseek-coder-1.3b-instruct",
"license:other",
"region:us"
] | null | 2023-11-05T13:15:17Z | <!-- markdownlint-disable MD041 -->
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content:... | [] |
AscendKernelGen/KernelGen-LM-4B | AscendKernelGen | 2026-04-28T09:42:40Z | 795 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"code-generation",
"npu",
"ascend",
"chain-of-thought",
"conversational",
"en",
"zh",
"dataset:AscendKernelGen/Ascend-COT-v2-packed",
"arxiv:2601.07160",
"base_model:Qwen/Qwen3-4B",
"base_model:finetune:Qwen/Qwen3-4B",
"license... | text-generation | 2026-01-23T10:15:01Z | # AscendKernelGen / KernelGen-LM-4B
[](https://huggingface.co/papers/2601.07160)
KernelGen-LM-4B is a state-of-the-art domain-adaptive large language model specialized for low-level NPU ker... | [
{
"start": 790,
"end": 804,
"text": "NPUKernelBench",
"label": "benchmark name",
"score": 0.7311363220214844
},
{
"start": 1954,
"end": 1968,
"text": "NPUKernelBench",
"label": "benchmark name",
"score": 0.6423137187957764
}
] |
unsloth/Qwen3-Embedding-4B | unsloth | 2026-01-22T14:31:15Z | 2,999 | 1 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-generation",
"transformers",
"sentence-similarity",
"feature-extraction",
"text-embeddings-inference",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-4B-Base",
"base_model:finetune:Qwen/Qwen3-4B-Base",
"license:apache-2.0",
"endpoints_compat... | feature-extraction | 2026-01-22T14:30:59Z | # Qwen3-Embedding-4B
<p align="center">
<img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/logo_qwen3.png" width="400"/>
<p>
## Highlights
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon... | [
{
"start": 1029,
"end": 1058,
"text": "MTEB multilingual leaderboard",
"label": "benchmark name",
"score": 0.6671484112739563
}
] |
mradermacher/Big-Tiger-Gemma-27B-v3-heretic-v2-i1-GGUF | mradermacher | 2025-12-22T12:35:34Z | 479 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:coder3101/Big-Tiger-Gemma-27B-v3-heretic-v2",
"base_model:quantized:coder3101/Big-Tiger-Gemma-27B-v3-heretic-v2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-22T11:04:17Z | ## 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": 465,
"end": 498,
"text": "Big-Tiger-Gemma-27B-v3-heretic-v2",
"label": "benchmark name",
"score": 0.7251396775245667
},
{
"start": 635,
"end": 676,
"text": "Big-Tiger-Gemma-27B-v3-heretic-v2-i1-GGUF",
"label": "benchmark name",
"score": 0.8046327829360962
},
... |
caiovicentino1/Nemotron-Cascade-2-30B-A3B-HLWQ-Q5 | caiovicentino1 | 2026-04-13T18:46:50Z | 2,376 | 7 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"hlwq",
"hadamard-lloyd-quantization",
"moe",
"expert-offloading",
"nemotron",
"mamba",
"consumer-gpu",
"vllm",
"custom_code",
"arxiv:2502.02617",
"arxiv:2603.29078",
"base_model:nvidia/Nemotron-Cascade-2-30B-A3B",
"base... | text-generation | 2026-04-01T05:15:51Z | # 🧊 Nemotron-Cascade-2-30B-A3B · HLWQ Q5 (Mamba-aware)
**30B hybrid Mamba + MoE model running at 7.6 GB VRAM, 15 tok/s, correct output on RTX 4090.**
![Speed vs VRAM Tradeoff](https:... | [] |
aisha-org/Whisper-Uzbek | aisha-org | 2024-07-04T13:15:40Z | 525 | 4 | transformers | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"uz",
"dataset:mozilla-foundation/common_voice_17_0",
"base_model:openai/whisper-medium",
"base_model:finetune:openai/whisper-medium",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
... | automatic-speech-recognition | 2024-07-04T12:24:58Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Medium UZB - AISHA
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-me... | [
{
"start": 434,
"end": 437,
"text": "Wer",
"label": "evaluation metric",
"score": 0.9179916977882385
},
{
"start": 750,
"end": 763,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.6239485740661621
},
{
"start": 765,
"end": 770,
"text": "1... |
mradermacher/GLM-4-32B-0414-uncensored-heretic-v1-GGUF | mradermacher | 2026-03-19T09:09:31Z | 1,108 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"zh",
"en",
"base_model:llmfan46/GLM-4-32B-0414-uncensored-heretic-v1",
"base_model:quantized:llmfan46/GLM-4-32B-0414-uncensored-heretic-v1",
"license:mit",
"endpoints_compatible",
"region:us",
"conversa... | null | 2026-03-18T21:47:42Z | ## 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... | [] |
foreverlasting1202/QuestA-Nemotron-1.5B | foreverlasting1202 | 2025-10-02T16:53:52Z | 303 | 17 | transformers | [
"transformers",
"pytorch",
"qwen2",
"text-generation",
"conversational",
"arxiv:2507.13266",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-09-28T17:22:06Z | # QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
<p align="center">
| <a href="https://www.arxiv.org/abs/2507.13266"><b>Paper</b></a> | <a href="https://github.com/foreverlasting1202/QuestA/"><b>Documentation</b></a> | <a
href="https://mercurial-kidney-02d.notion.site/QuestA-Expanding-Reasoni... | [
{
"start": 1017,
"end": 1023,
"text": "AIME25",
"label": "benchmark name",
"score": 0.7884290218353271
},
{
"start": 1025,
"end": 1031,
"text": "HMMT25",
"label": "benchmark name",
"score": 0.7630852460861206
}
] |
mradermacher/Mistral-Small-24B-Roleplay-V6-i1-GGUF | mradermacher | 2025-12-07T20:16:12Z | 109 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:burew/Mistral-Small-24B-Roleplay-V6",
"base_model:quantized:burew/Mistral-Small-24B-Roleplay-V6",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-14T01:29:03Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 626,
"end": 663,
"text": "Mistral-Small-24B-Roleplay-V6-i1-GGUF",
"label": "benchmark name",
"score": 0.6123365163803101
}
] |
huihui-ai/Huihui-LFM2-8B-A1B-abliterated | huihui-ai | 2026-02-27T07:19:45Z | 631 | 6 | transformers | [
"transformers",
"safetensors",
"lfm2_moe",
"text-generation",
"liquid",
"lfm2",
"edge",
"moe",
"abliterated",
"uncensored",
"conversational",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2-8B-A1B",
"base_model:finetune:LiquidAI/LFM2-8B-A1B",
"lice... | text-generation | 2026-02-27T07:02:42Z | # huihui-ai/Huihui-LFM2-8B-A1B-abliterated
This is an uncensored version of [LiquidAI/LFM2-8B-A1B](https://huggingface.co/LiquidAI/LFM2-8B-A1B) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
This is a crude, pr... | [] |
hbXNov/Qwen3-VL-2B-Instruct-HoneyBee | hbXNov | 2025-11-04T22:01:45Z | 189 | 4 | null | [
"safetensors",
"qwen3_vl",
"vision-language",
"multimodal",
"reasoning",
"en",
"dataset:facebook/HoneyBee",
"dataset:hbXNov/HoneyBee_Processed",
"base_model:Qwen/Qwen3-VL-2B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-2B-Instruct",
"license:mit",
"region:us"
] | null | 2025-11-01T08:00:00Z | ## Description
We train [Qwen/Qwen3-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct) for 1 epoch on Meta's [HoneyBee](https://huggingface.co/datasets/facebook/HoneyBee) dataset.
Specifically, we use Llama-factory for training and use [this](https://huggingface.co/datasets/hbXNov/HoneyBee_Processed) p... | [
{
"start": 804,
"end": 809,
"text": "top_p",
"label": "evaluation metric",
"score": 0.6088468432426453
},
{
"start": 934,
"end": 941,
"text": "Average",
"label": "evaluation metric",
"score": 0.6531481146812439
}
] |
agentscope-ai/QwenPaw-Flash-9B | agentscope-ai | 2026-04-09T11:38:58Z | 649 | 42 | null | [
"safetensors",
"qwen3_5",
"en",
"zh",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"region:us"
] | null | 2026-03-30T13:35:37Z | # QwenPaw-Flash-9B
**QwenPaw-Flash** is a lightweight model deeply optimized for the QwenPaw autonomous agent scenario. Since its training phase, the model has been specifically refined for QwenPaw tasks, delivering enhanced agentic performance in tool invocation, command execution, memory management, and multi-step pl... | [] |
mradermacher/LFM2-24B-A2B-i1-GGUF | mradermacher | 2026-02-25T10:00:10Z | 3,019 | 4 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2",
"edge",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"pt",
"base_model:LiquidAI/LFM2-24B-A2B",
"base_model:quantized:LiquidAI/LFM2-24B-A2B",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-25T06:18:15Z | ## 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": 613,
"end": 633,
"text": "LFM2-24B-A2B-i1-GGUF",
"label": "benchmark name",
"score": 0.6536151766777039
}
] |
AesSedai/GLM-4.6-Derestricted-GGUF | AesSedai | 2026-05-01T21:28:19Z | 699 | 26 | null | [
"gguf",
"base_model:zai-org/GLM-4.6",
"base_model:quantized:zai-org/GLM-4.6",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-03T05:54:11Z | ### Quick update: I've fixed an issue where the chat template wasn't inluded in the quants, the first shard of each quant has been updated to include the chat template. Please re-download the first shard to pick up the fix, sorry for the inconvenience.
---
This is a "derestricted" abliteration of GLM-4.6, using Jim La... | [
{
"start": 1725,
"end": 1733,
"text": "SNR peak",
"label": "evaluation metric",
"score": 0.6018747091293335
}
] |
Ai2-Alliance/Qwen3-Coder-Next-REAP-48B-A3B-GGUF | Ai2-Alliance | 2026-02-12T13:36:43Z | 196 | 2 | null | [
"gguf",
"text-generation-inference",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:quantized:Qwen/Qwen3-Coder-Next",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-12T13:36:43Z | 
**Qwen3-Coder-Next-REAP-48B-A3B** has the following specifications:
- **Type:** Causal Language Models
- **Number of Parameters**: 48B in total and 3B activated
- **Hidden Dimension**: 2... | [] |
google/flan-t5-large | google | 2023-07-17T12:49:05Z | 431,119 | 878 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:svakulenk0/qrecc",
"dataset:taskmaster2",
"dataset:djaym7/wiki_dialog",
"dataset:deepmind/code_contests",
"dataset:lambada",
"dataset:gsm8k",
"dat... | null | 2022-10-21T10:07:08Z | # Model Card for FLAN-T5 large
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/flan2_architecture.jpg"
alt="drawing" width="600"/>
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3. [Uses](#uses)
4. [Bias, Ri... | [] |
SufficientPrune3897/Qwen3.5-35B-A3B-Derestricted-Character-Creator-V2-GGUF | SufficientPrune3897 | 2026-03-25T18:34:19Z | 1,177 | 2 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"mistral",
"roleplay",
"sillytavern",
"characters",
"en",
"base_model:ArliAI/Qwen3.5-35B-A3B-Derestricted",
"base_model:quantized:ArliAI/Qwen3.5-35B-A3B-Derestricted",
"license:apache-2.0",
"endpoints_compatible",
"region:us",... | null | 2026-03-21T17:26:08Z | This finetune in particular is experimental. Perhaps try out one of the other versions of this first.
This is a model made to create characters that can be used in Sillytavern, cai, jai and other such roleplay scenarios. The resulting characters should be about ~2k tokens and follow a prebaked structure.
Versions:
- ... | [] |
mistralai/Ministral-3-3B-Instruct-2512-GGUF | mistralai | 2026-01-15T11:18:21Z | 31,011 | 55 | vllm | [
"vllm",
"gguf",
"mistral-common",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"arxiv:2601.08584",
"base_model:mistralai/Ministral-3-3B-Instruct-2512",
"base_model:quantized:mistralai/Ministral-3-3B-Instruct-2512",
"license:apache-2.0",
"region:us",
"conver... | null | 2025-10-31T08:45:13Z | # Ministral 3 3B Instruct 2512 GGUF
The smallest model in the Ministral 3 family, **Ministral 3 3B** is a powerful, efficient tiny language model with vision capabilities.
This model includes different quantization levels of the instruct post-trained version in **GGUF**, fine-tuned for instruction tasks, making it id... | [
{
"start": 266,
"end": 270,
"text": "GGUF",
"label": "benchmark name",
"score": 0.6204097867012024
}
] |
matrixportalx/Llama-3.1-8B-Instruct-Q4_K_M-GGUF | matrixportalx | 2024-11-19T17:24:18Z | 1,174 | 4 | null | [
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:quantized:meta-llama/Llama-3.1-8B-Instruct",
"license:llama3.1",... | text-generation | 2024-11-19T17:23:55Z | # matrixportal/Llama-3.1-8B-Instruct-Q4_K_M-GGUF
This model was converted to GGUF format from [`meta-llama/Llama-3.1-8B-Instruct`](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original ... | [] |
OpenMOSE/RWKV-GLM-4.7-Flash-exp | OpenMOSE | 2026-03-18T00:27:53Z | 261 | 2 | transformers | [
"transformers",
"safetensors",
"rwkv07i_moe",
"text-generation",
"rwkv",
"rwkv7",
"hybrid",
"linear-attention",
"distillation",
"tica",
"moe",
"conversational",
"custom_code",
"en",
"zh",
"ja",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-11T17:10:06Z | # OpenMOSE/RWKV-GLM-4.7-Flash-exp
**PrimeRWKV: Not a Hybrid — A Fusion. it's P20-E27 cores**
<p align="center">
<img src="https://img.shields.io/badge/Architecture-PrimeRWKV-blue" alt="Architecture"/>
<img src="https://img.shields.io/badge/Base-GLM4.7--Flash-green" alt="Base Model"/>
<img src="https://img.shiel... | [] |
mradermacher/QuasiStarSynth-12B-absolute-heresy-i1-GGUF | mradermacher | 2026-02-18T05:00:08Z | 258 | 2 | transformers | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"DreadPoor/Irix-12B-Model_Stock",
"ohyeah1/Violet-Lyra-Gutenberg-v2",
"redrix/patricide-12B-Unslop-Mell-v2",
"yamatazen/EtherealAurora-12B-v3",
"yamatazen/EtherealAurora-12B-v2",
"heretic",
"uncensored",
"decensored",
"abliterate... | null | 2026-02-18T03:26:42Z | ## 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": 465,
"end": 499,
"text": "QuasiStarSynth-12B-absolute-heresy",
"label": "benchmark name",
"score": 0.6389864087104797
},
{
"start": 636,
"end": 678,
"text": "QuasiStarSynth-12B-absolute-heresy-i1-GGUF",
"label": "benchmark name",
"score": 0.7456614971160889
}... |
nxp/Qwen2.5-7B-Instruct-Ara240 | nxp | 2026-03-20T15:24:50Z | 135 | 1 | null | [
"ara_qwen",
"ara240",
"qwen2.5",
"quantized",
"text-generation",
"en",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-12T13:29:20Z | ## Overview
This repository hosts the instruction‑tuned **Qwen2.5-7B-Instruct** model. Compared to earlier versions, Qwen2.5 offers stronger performance in areas such as coding, mathematics, long‑form generation, structured data handling, and JSON‑based outputs. It also responds more reliably to a wide range of syst... | [] |
wannaphong/wav2vec2-large-xlsr-53-th-cv8-newmm | wannaphong | 2026-02-01T06:24:08Z | 2,599 | 5 | transformers | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"th",
"dataset:common_voice",
"arxiv:2208.04799",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-06-06T09:01:59Z | # Thai Wav2Vec2 with CommonVoice V8 (newmm tokenizer) + language model
This model trained with CommonVoice V8 dataset by increase data from CommonVoice V7 dataset that It was use in [airesearch/wav2vec2-large-xlsr-53-th](https://huggingface.co/airesearch/wav2vec2-large-xlsr-53-th). It was finetune [wav2vec2-large-xlsr... | [] |
MuXodious/GLM-4.7-Flash-impotent-heresy-GGUF | MuXodious | 2026-01-28T19:21:33Z | 164 | 1 | llama.cpp | [
"llama.cpp",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"text-generation",
"en",
"zh",
"arxiv:2508.06471",
"base_model:MuXodious/GLM-4.7-Flash-impotent-heresy",
"base_model:quantized:MuXodious/GLM-4.7-Flash-impotent-heresy",
"license:mit",
"endpoints_compatible",
"regi... | text-generation | 2026-01-20T11:27:23Z | Static GGUF quants of **GLM-4.7-Flash-impotent-heresy**.
Run with [**--override-kv deepseek2.expert_gating_func=int:2**](https://github.com/ggml-org/llama.cpp/pull/18980) or rebuild llama.cpp to the latest git.
---
This is a **GLM-4.7-Flash** fine-tune, produced at the request of [McG-221](https://huggingface.co/McG-... | [] |
tencent/HY-MT1.5-1.8B-GPTQ-Int4 | tencent | 2026-01-01T02:36:13Z | 1,170 | 12 | transformers | [
"transformers",
"safetensors",
"hunyuan_v1_dense",
"text-generation",
"translation",
"zh",
"en",
"fr",
"pt",
"es",
"ja",
"tr",
"ru",
"ar",
"ko",
"th",
"it",
"de",
"vi",
"ms",
"id",
"tl",
"hi",
"pl",
"cs",
"nl",
"km",
"my",
"fa",
"gu",
"ur",
"te",
"mr",... | translation | 2025-12-30T04:43:01Z | <p align="center">
<img src="https://github.com/Tencent-Hunyuan/HY-MT/raw/main/imgs/hunyuanlogo.png" width="400"/> <br>
</p><p></p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/tencent/hy-mt15"><b>Hugging Face</b></a> |
🕹️ <a href="https://hunyuan.tencen... | [] |
AngelSlim/Deepseek_r1_distill_qwen-32b_int4_awq | AngelSlim | 2025-07-10T09:30:15Z | 384 | 1 | null | [
"safetensors",
"qwen2",
"4-bit",
"awq",
"region:us"
] | null | 2025-07-03T06:53:44Z | <p align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/Tencent/AngelSlim/blob/main/docs/source/assets/logos/angelslim_logo_light.png?raw=true">
<img alt="AngelSlim" src="https://github.com/Tencent/AngelSlim/blob/main/docs/source/assets/logos/angelslim_logo.png?raw... | [] |
microsoft/Phi-3-mini-128k-instruct | microsoft | 2025-12-10T20:21:52Z | 247,782 | 1,697 | transformers | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"nlp",
"code",
"conversational",
"custom_code",
"en",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-04-22T16:26:23Z | 🎉**Phi-4**: [[multimodal-instruct](https://huggingface.co/microsoft/Phi-4-multimodal-instruct) | [onnx](https://huggingface.co/microsoft/Phi-4-multimodal-instruct-onnx)];
[[mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) | [onnx](https://huggingface.co/microsoft/Phi-4-mini-instruct-onnx)]
## Mod... | [] |
bartowski/arcee-ai_Homunculus-GGUF | bartowski | 2025-06-02T21:06:31Z | 1,227 | 6 | null | [
"gguf",
"text-generation",
"en",
"base_model:arcee-ai/Homunculus",
"base_model:quantized:arcee-ai/Homunculus",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-06-02T20:00:53Z | ## Llamacpp imatrix Quantizations of Homunculus by arcee-ai
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b5568">b5568</a> for quantization.
Original model: https://huggingface.co/arcee-ai/Homunculus
All quants made using im... | [] |
Guilherme34/Samantha-Mythomax-l2-13b-merge-fixed-Q4_K_M-GGUF | Guilherme34 | 2025-08-19T19:32:07Z | 160 | 1 | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"base_model:Guilherme34/Samantha-Mythomax-l2-13b-merge-fixed",
"base_model:quantized:Guilherme34/Samantha-Mythomax-l2-13b-merge-fixed",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2025-08-19T19:31:20Z | # Guilherme34/Samantha-Mythomax-l2-13b-merge-fixed-Q4_K_M-GGUF
This model was converted to GGUF format from [`Guilherme34/Samantha-Mythomax-l2-13b-merge-fixed`](https://huggingface.co/Guilherme34/Samantha-Mythomax-l2-13b-merge-fixed) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-or... | [] |
OpenMOSS-Team/MOSS-Audio-Tokenizer | OpenMOSS-Team | 2026-02-13T04:15:23Z | 73,374 | 37 | transformers | [
"transformers",
"safetensors",
"moss-audio-tokenizer",
"feature-extraction",
"audio",
"audio-tokenizer",
"neural-codec",
"moss-tts-family",
"MOSS Audio Tokenizer",
"speech-tokenizer",
"trust-remote-code",
"custom_code",
"arxiv:2602.10934",
"license:apache-2.0",
"region:us"
] | feature-extraction | 2026-02-04T03:56:13Z | # MossAudioTokenizer
This is the code for MOSS-Audio-Tokenizer presented in [MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models](https://arxiv.org/abs/2602.10934).
**MOSSAudioTokenizer** is a unified discrete audio tokenizer based on the **Cat** (**C**ausal **A**udio **T**okenizer with... | [] |
Nerdsking/Nerdsking-python-coder-7B-i | Nerdsking | 2026-02-24T23:19:16Z | 2,209 | 15 | null | [
"gguf",
"code",
"text-generation",
"en",
"pt",
"zh",
"es",
"de",
"it",
"fr",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-7B-Instruct",
"doi:10.57967/hf/7865",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversati... | text-generation | 2025-12-28T05:10:01Z | <!-- Provide a quick summary of what the model is/does. -->
#### Model Details
<p class="justified-text">
<b>Nerdsking-python-coder-7B-i</b> is a 7B parameter partially uncensored model focused in <b> coding</b>. It was massively trained in python, therefore despite the fact it can code in other languages as well, the... | [
{
"start": 110,
"end": 137,
"text": "Nerdsking-python-coder-7B-i",
"label": "benchmark name",
"score": 0.7437968850135803
},
{
"start": 147,
"end": 149,
"text": "7B",
"label": "evaluation metric",
"score": 0.6042885780334473
},
{
"start": 1034,
"end": 1061,
... |
BUT-FIT/DiCoW_v3_MLC | BUT-FIT | 2025-09-02T11:16:31Z | 116 | 7 | transformers | [
"transformers",
"safetensors",
"DiCoW",
"automatic-speech-recognition",
"speech",
"whisper",
"multilingual",
"fine-tuned",
"mlc-slm",
"speaker-diarization",
"meeting-transcription",
"BUT-FIT",
"custom_code",
"dataset:microsoft/NOTSOFAR",
"dataset:edinburghcstr/ami",
"arxiv:2506.13414",... | automatic-speech-recognition | 2025-06-19T12:25:10Z | # DiCoW\_v3\_MLC — BUT-FIT Model for MLC-SLM Challenge
This repository contains the **DiCoW\_v3\_MLC** model developed by [BUT Speech@FIT](https://github.com/BUTSpeechFIT) for the [MLC-SLM Challenge](https://www.nexdata.ai/competition/mlc-slm).
Diarization-Conditioned Whisper (DiCoW) is a novel approach to target-spe... | [] |
qualcomm/HRNetPose | qualcomm | 2026-04-28T06:49:59Z | 646 | 9 | pytorch | [
"pytorch",
"bu_auto",
"android",
"keypoint-detection",
"arxiv:1902.09212",
"license:other",
"region:us"
] | keypoint-detection | 2024-02-25T22:45:59Z | 
# HRNetPose: Optimized for Qualcomm Devices
HRNet performs pose estimation in high-resolution representations.
This is based on the implementation of HRNetPose found [here](https://github.com/leoxi... | [] |
baidu/ERNIE-4.5-300B-A47B-Paddle | baidu | 2025-09-09T02:49:37Z | 311 | 13 | PaddlePaddle | [
"PaddlePaddle",
"safetensors",
"ernie4_5_moe",
"ERNIE4.5",
"text-generation",
"conversational",
"en",
"zh",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-06-28T03:46:02Z | <div align="center" style="line-height: 1;">
<a href="https://ernie.baidu.com/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖_Chat-ERNIE_Bot-blue" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://huggingface.co/baidu" target="_blank" s... | [] |
Qwen/Qwen3-VL-4B-Thinking | Qwen | 2025-10-15T16:14:47Z | 176,202 | 105 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-text-to-text | 2025-10-11T07:24:08Z | <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>
# Qwen3-VL-4B-Thinking
Meet Qwen3-VL — the most powerful vision-language model in ... | [] |
EleutherAI/pythia-70m | EleutherAI | 2023-11-21T19:04:09Z | 476,296 | 80 | gpt-neox | [
"gpt-neox",
"pytorch",
"safetensors",
"gpt_neox",
"causal-lm",
"pythia",
"en",
"dataset:EleutherAI/pile",
"arxiv:2304.01373",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"deploy:azure",
"region:us"
] | null | 2023-02-13T14:54:51Z | The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf).
It contains two sets of eight models of sizes
70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For each size, there are two
models: one trained on the Pile, and ... | [
{
"start": 5,
"end": 11,
"text": "Pythia",
"label": "benchmark name",
"score": 0.8544356822967529
},
{
"start": 573,
"end": 579,
"text": "Pythia",
"label": "benchmark name",
"score": 0.8413132429122925
},
{
"start": 1099,
"end": 1105,
"text": "Pythia",
... |
tiny-random/gpt-oss | tiny-random | 2025-08-06T07:33:23Z | 218 | 2 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"conversational",
"base_model:openai/gpt-oss-120b",
"base_model:finetune:openai/gpt-oss-120b",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-06T05:15:26Z | This tiny model is for debugging. It is randomly initialized with the config adapted from [openai/gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b).
Note: This model is in BF16; quantized MXFP4 FFN is not used.
### Example usage:
- vLLM
```bash
vllm serve tiny-random/gpt-oss
```
- Transformers
```python
i... | [] |
geoffmunn/Qwen3Guard-Stream-4B | geoffmunn | 2025-11-06T09:35:01Z | 130 | 1 | null | [
"gguf",
"qwen",
"qwen3guard",
"qwen3guard-stream",
"safety",
"guardrail",
"content-moderation",
"classification",
"streaming",
"tiny-llm",
"llama.cpp",
"text-classification",
"base_model:Qwen/Qwen3Guard-Stream-4B",
"base_model:quantized:Qwen/Qwen3Guard-Stream-4B",
"license:apache-2.0",
... | text-classification | 2025-10-17T20:51:48Z | # VERY IMPORTANT NOTE!
**These don't work!**
The Qwen3Guard-Stream models are specialised versions of the Qwen3 series, designed specifically for real-time safety and moderation tasks rather than general-purpose language generation.
These models incorporate custom architectural components - such as non-standard atte... | [] |
google/siglip2-base-patch16-512 | google | 2025-02-21T04:03:42Z | 92,186 | 37 | transformers | [
"transformers",
"safetensors",
"siglip",
"vision",
"zero-shot-image-classification",
"arxiv:2502.14786",
"arxiv:2303.15343",
"arxiv:2209.06794",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2025-02-17T20:02:34Z | # SigLIP 2 Base
[SigLIP 2](https://huggingface.co/papers/2502.14786) extends the pretraining objective of
[SigLIP](https://huggingface.co/papers/2303.15343) with prior, independently developed techniques
into a unified recipe, for improved semantic understanding, localization, and dense features.
## Intended uses
Yo... | [] |
nvidia/Qwen3-235B-A22B-Thinking-2507-NVFP4 | nvidia | 2026-01-30T22:06:52Z | 748 | 6 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"qwen3_moe",
"nvidia",
"ModelOpt",
"Qwen3",
"quantized",
"NVFP4",
"nvfp4",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3-235B-A22B-Thinking-2507",
"base_model:quantized:Qwen/Qwen3-235B-A22B-Thinking-2507",
"license:apache-2.0",
"modelopt",
... | text-generation | 2025-12-30T23:06:15Z | # Model Overview
## Description:
The NVIDIA Qwen3-235B-A22B-Thinking-2507 NVFP4 model is the quantized version of Alibaba's Qwen3-235B-A22B-Thinking-2507 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/Q... | [] |
mradermacher/Azure-Starlight-12B-GGUF | mradermacher | 2026-02-24T00:11:14Z | 630 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Azure-Starlight-12B",
"base_model:quantized:Vortex5/Azure-Starlight-12B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-23T21:45:46Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 360,
"end": 379,
"text": "Azure-Starlight-12B",
"label": "benchmark name",
"score": 0.6568171381950378
},
{
"start": 516,
"end": 540,
"text": "Azure-Starlight-12B-GGUF",
"label": "benchmark name",
"score": 0.7110804915428162
},
{
"start": 624,
"end"... |
microsoft/NatureLM-8x7B-Inst | microsoft | 2025-06-20T04:52:27Z | 207 | 25 | null | [
"safetensors",
"mixtral",
"biology",
"chemistry",
"en",
"arxiv:2502.07527",
"license:mit",
"region:us"
] | null | 2025-06-06T02:36:23Z | # Model details
## Model description
Nature Language Model (NatureLM) is a sequence-based science foundation model designed for scientific discovery. Pre-trained with data from multiple scientific domains, NatureLM offers a unified, versatile model that enables various applications including generating and optimizing s... | [] |
agentica-org/DeepSWE-Preview | agentica-org | 2025-07-03T00:04:53Z | 113 | 194 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"en",
"dataset:R2E-Gym/R2E-Gym-Subset",
"base_model:Qwen/Qwen3-32B",
"base_model:finetune:Qwen/Qwen3-32B",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-07-01T09:06:39Z | <!-- Header Section -->
<div align="center" style=" padding: 1.5em 1.5em; margin-bottom: 1em;">
<!-- Logo and Title -->
<div style="display: flex; align-items: center; justify-content: center; gap: 1em; margin-bottom: 0.5em;">
<div style="width: 2.5em; height: 2.5em; border-radius: 1em; display: flex; align-i... | [] |
YoAbriel/KodaLite-1.3B | YoAbriel | 2026-05-04T09:10:15Z | 639 | 3 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"from-scratch",
"jax",
"conversational",
"en",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-17T11:47:20Z | # KodaLite-1.3B (Koda-v0.1)
A **1.27B** parameter LLaMA-style decoder-only language model, trained **entirely from scratch** on 2x NVIDIA L40S GPUs using JAX + Flax NNX, then converted to HuggingFace Transformers format.
> **TL;DR** — KodaLite reaches ~37% average accuracy on standard LLM benchmarks. It is **severely... | [
{
"start": 259,
"end": 275,
"text": "average accuracy",
"label": "evaluation metric",
"score": 0.628980815410614
},
{
"start": 698,
"end": 707,
"text": "HellaSwag",
"label": "benchmark name",
"score": 0.7680487036705017
},
{
"start": 709,
"end": 716,
"text... |
llmfan46/gemma-3-12b-it-ultra-uncensored-heretic | llmfan46 | 2026-03-27T22:53:49Z | 206 | 1 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:19... | image-text-to-text | 2026-03-09T21:14:30Z | <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... | [] |
unsloth/gemma-4-E4B-it-UD-MLX-4bit | unsloth | 2026-04-13T06:14:57Z | 1,846 | 22 | null | [
"safetensors",
"gemma4",
"unsloth",
"gemma",
"google",
"image-text-to-text",
"conversational",
"base_model:google/gemma-4-E4B-it",
"base_model:quantized:google/gemma-4-E4B-it",
"license:apache-2.0",
"4-bit",
"region:us"
] | image-text-to-text | 2026-04-02T17:03:48Z | # Read our How to [Run Gemma 4 Guide!](https://docs.unsloth.ai/models/gemma-4)
To run MLX:
```
curl -fsSL https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/scripts/install_gemma4_mlx.sh | sh
source ~/.unsloth/unsloth_gemma4_mlx/bin/activate
python -m mlx_vlm.chat --model unsloth/gemma-4-E4B-it-UD-MLX... | [
{
"start": 1142,
"end": 1149,
"text": "Gemma 4",
"label": "benchmark name",
"score": 0.6101198792457581
}
] |
mudler/Step-3.5-Flash-APEX-GGUF | mudler | 2026-04-27T14:00:44Z | 3,920 | 2 | null | [
"gguf",
"quantized",
"apex",
"moe",
"mixture-of-experts",
"step",
"base_model:stepfun-ai/Step-3.5-Flash",
"base_model:quantized:stepfun-ai/Step-3.5-Flash",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-07T02:34:35Z | <!-- apex-banner-v2 -->
<div style="background-color: #f59e0b; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">⚡ Each donation = another big MoE quantized</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I host <b>25+ free APEX Mo... | [
{
"start": 313,
"end": 317,
"text": "APEX",
"label": "benchmark name",
"score": 0.6539493203163147
},
{
"start": 588,
"end": 592,
"text": "APEX",
"label": "benchmark name",
"score": 0.6842774748802185
}
] |
mradermacher/univer-api-qwen3-4b-GGUF | mradermacher | 2026-02-08T16:46:29Z | 124 | 4 | transformers | [
"transformers",
"gguf",
"en",
"base_model:yangluo/univer-api-qwen3-4b",
"base_model:quantized:yangluo/univer-api-qwen3-4b",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-08T16:19:15Z | ## 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... | [] |
Infomaniak-AI/vllm-translategemma-12b-it | Infomaniak-AI | 2026-02-03T10:03:04Z | 6,643 | 4 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"conversational",
"arxiv:2601.09012",
"arxiv:2503.19786",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-03T09:48:34Z | # vLLM-Compatible TranslateGemma Configuration
This is a modified version of [google/translategemma-12b-it](https://huggingface.co/google/translategemma-12b-it) optimized for deployment with [vLLM](https://github.com/vllm-project/vllm).
## Changes from Original Model
### Chat Template
The original TranslateGemma mo... | [] |
mradermacher/Mistral-7B-v0.3-Middo-Alpaca-4o-mini-i1-GGUF | mradermacher | 2025-12-05T22:05:25Z | 203 | 1 | transformers | [
"transformers",
"gguf",
"llama-factory",
"full",
"en",
"dataset:Word2Li/MiddOptimized",
"base_model:Word2Li/Mistral-7B-v0.3-Middo-Alpaca-4o-mini",
"base_model:quantized:Word2Li/Mistral-7B-v0.3-Middo-Alpaca-4o-mini",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conve... | null | 2025-09-13T11:06:48Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 635,
"end": 679,
"text": "Mistral-7B-v0.3-Middo-Alpaca-4o-mini-i1-GGUF",
"label": "benchmark name",
"score": 0.705578625202179
},
{
"start": 753,
"end": 794,
"text": "Mistral-7B-v0.3-Middo-Alpaca-4o-mini-GGUF",
"label": "benchmark name",
"score": 0.631830513477... |
haykgrigorian/TimeCapsuleLLM-v2-llama-1.2B | haykgrigorian | 2026-01-13T00:26:11Z | 267 | 43 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"historical",
"causal-lm",
"en",
"dataset:postgrammar/london-llm-1800",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-06T20:28:54Z | # haykgrigorian/TimeCapsuleLLM-v2-London-1800-1875: Llama-Architecture 1.2B Model
## Model Overview
**v2** model, trained from scratch on 112GB of 1800-1875 london texts using a Llama-based Casual Language Model.
| Detail | Value |
| :--- | :--- |
| **Model Architecture** | LlamaForCausalLM (Decoder-Only Transforme... | [] |
outflanknl/Dante-7B | outflanknl | 2025-08-13T14:26:27Z | 393 | 21 | null | [
"safetensors",
"qwen2",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Coder-7B-Instruct",
"license:apache-2.0",
"region:us"
] | null | 2025-08-07T18:59:17Z | # Dante-7B
Dante-7B is a 7 billion parameter model trained by [Outflank](https://www.outflank.nl/) to generate Windows shellcode loaders.
- Blog: https://outflank.nl/blog/2025/08/07/training-specialist-models
- Demo: https://huggingface.co/spaces/outflanknl/Dante-7B-Demo
## Example Outputs
If you don't want to host... | [] |
mradermacher/cpa-qwen3-8b-v0-GGUF | mradermacher | 2026-01-19T02:07:42Z | 930 | 1 | transformers | [
"transformers",
"gguf",
"text-generation",
"finance",
"economics",
"cpa",
"audcor",
"en",
"dataset:Josephgflowers/Finance-Instruct-500k",
"base_model:AudCor/cpa-qwen3-8b-v0",
"base_model:quantized:AudCor/cpa-qwen3-8b-v0",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conver... | text-generation | 2026-01-19T01:32:08Z | ## 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... | [] |
embedl/Cosmos-Reason2-2B-W4A16-Edge2 | embedl | 2026-03-17T18:21:05Z | 22,191 | 11 | cosmos | [
"cosmos",
"safetensors",
"qwen3_vl",
"nvidia",
"cosmos-reason2",
"multimodal",
"vlm",
"quantized",
"edge",
"llmcompressor",
"mixed-precision",
"image-text-to-text",
"conversational",
"base_model:nvidia/Cosmos-Reason2-2B",
"base_model:quantized:nvidia/Cosmos-Reason2-2B",
"license:other"... | image-text-to-text | 2026-02-23T15:25:54Z | # Cosmos-Reason2-2B-W4A16-Edge2
<img src="https://www.embedl.com/hs-fs/hubfs/Supercharging%20Cosmos%20Reason2%20with%20FlashHead%20Across%20the%20Jetson%20Platform%20(2).png?width=1199&height=674&name=Supercharging%20Cosmos%20Reason2%20with%20FlashHead%20Across%20the%20Jetson%20Platform%20(2).png" alt="Cosmos-Reason2-... | [
{
"start": 2,
"end": 31,
"text": "Cosmos-Reason2-2B-W4A16-Edge2",
"label": "benchmark name",
"score": 0.8591499924659729
},
{
"start": 305,
"end": 322,
"text": "Cosmos-Reason2-2B",
"label": "benchmark name",
"score": 0.9102607369422913
},
{
"start": 375,
"end"... |
mradermacher/Qwen3.5-27B-Esper3.1-i1-GGUF | mradermacher | 2026-03-13T10:18:21Z | 25,748 | 2 | transformers | [
"transformers",
"gguf",
"esper",
"esper-3.1",
"esper-3",
"valiant",
"valiant-labs",
"qwen",
"qwen-3.5",
"qwen-3.5-27b",
"27b",
"reasoning",
"code",
"code-instruct",
"python",
"javascript",
"dev-ops",
"jenkins",
"terraform",
"ansible",
"docker",
"kubernetes",
"helm",
"gr... | null | 2026-03-13T08:28:32Z | ## 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": "Qwen3.5-27B-Esper3.1-i1-GGUF",
"label": "benchmark name",
"score": 0.610379159450531
}
] |
Shuu12121/Owl-ph2-len2048 | Shuu12121 | 2026-03-11T12:11:21Z | 255 | 1 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"modernbert",
"sentence-similarity",
"feature-extraction",
"dense",
"generated_from_trainer",
"dataset_size:800640",
"loss:MultipleNegativesRankingLoss",
"base_model:Shuu12121/Owl-ph2-base-len2048",
"base_model:finetune:Shuu12121/Owl-ph2-base-len2048",
"... | sentence-similarity | 2026-01-26T16:07:39Z | # Shuu12121/Owl-ph2-len2048 🦉
```
██████╗ ██╗ ██╗██╗ ██████╗ ██╗ ██╗
██╔═══██╗██║ ██║██║ ██╔════╝ ██║ ██║ ,______,
██║ ██║██║ █╗ ██║██║ ██████╗ ██║ ██║ ██║ ( O v O )
██║ ██║██║███╗██║██║ ╚═════╝ ██║ ██║ ██║ / V \
╚██████... | [] |
mradermacher/Sunlit-Shadow-12B-GGUF | mradermacher | 2025-11-29T18:18:47Z | 278 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Sunlit-Shadow-12B",
"base_model:quantized:Vortex5/Sunlit-Shadow-12B",
"endpoints_compatible",
"region:us"
] | null | 2025-11-29T17:22:00Z | ## 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: -->
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static q... | [] |
silma-ai/SILMA-9B-Instruct-v1.0 | silma-ai | 2025-06-25T09:48:13Z | 3,070 | 85 | transformers | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"conversational",
"ar",
"en",
"license:gemma",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-08-17T21:00:17Z | # SILMA AI
SILMA.AI is a leading Generative AI startup dedicated to empowering Arabic speakers with state-of-the-art AI solutions.
## 🚀 Our Flagship Model: SILMA 1.0 🚀
* **SILMA 1.0** was the **TOP-RANKED** open-weights Arabic LLM (Until February 2025) with an impressive **9 billion parameter size**, surpassing ... | [] |
mradermacher/Eden-Qwen3-VL-4B-Instruct-BF16-v1-GGUF | mradermacher | 2026-02-23T14:06:38Z | 200 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:eden-suite/Eden-Qwen3-VL-4B-Instruct-BF16-v1",
"base_model:quantized:eden-suite/Eden-Qwen3-VL-4B-Instruct-BF16-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-23T06:02:16Z | ## About
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wikeeyang/Z-Image-Turbo-Art | wikeeyang | 2026-02-01T02:03:36Z | 280 | 41 | diffusers | [
"diffusers",
"gguf",
"text-to-image",
"en",
"zh",
"base_model:Tongyi-MAI/Z-Image",
"base_model:finetune:Tongyi-MAI/Z-Image",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-01-30T05:02:08Z | ## Z-Image-Turbo-Art
本模型为 [Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image) 与 [Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) 的融合微调模型，抽取了部分 [Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image) 基座模型的风格化能力，与 [Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) 分层融合后再进行快速微调而成，<u>这目前还只是如何充分... | [] |
mradermacher/Qwen3-VL-2B-Instruct-abliterated-GGUF | mradermacher | 2025-11-12T10:08:11Z | 317 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"abliterated",
"v1.0",
"en",
"base_model:prithivMLmods/Qwen3-VL-2B-Instruct-abliterated-v1",
"base_model:quantized:prithivMLmods/Qwen3-VL-2B-Instruct-abliterated-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational... | null | 2025-11-03T08:09:07Z | ## About
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<!-- ### 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 -->
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static q... | [] |
mradermacher/Peach-2.0-9B-8k-Roleplay-GGUF | mradermacher | 2025-07-31T09:19:30Z | 386 | 7 | transformers | [
"transformers",
"gguf",
"roleplay",
"rp",
"character",
"zh",
"en",
"base_model:ClosedCharacter/Peach-2.0-9B-8k-Roleplay",
"base_model:quantized:ClosedCharacter/Peach-2.0-9B-8k-Roleplay",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-03-10T01:07:39Z | ## About
<!-- ### quantize_version: 2 -->
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<!-- ### vocab_type: -->
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static quants of https://huggingface.co/ClosedCharacter/Peach-2.0-9B-8k-Roleplay
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***For a convenient overview and download list, visit ... | [] |
Zyphra/Zamba2-2.7B | Zyphra | 2025-02-14T01:21:58Z | 2,340 | 79 | transformers | [
"transformers",
"safetensors",
"zamba2",
"text-generation",
"arxiv:2405.16712",
"arxiv:2406.01981",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-09T21:03:28Z | # Model Card for Zamba2-2.7B
Zamba2-2.7B is a hybrid model composed of state-space and transformer blocks. It broadly follows the [Zamba architecture](https://arxiv.org/abs/2405.16712) which consists of a Mamba backbone alternating with shared transformer blocks (see diagram in [Model Details](#model-details)). Zamba2... | [] |
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