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 |
|---|---|---|---|---|---|---|---|---|---|---|
AngelSlim/Qwen3-VL-4B-Instruct_eagle3 | AngelSlim | 2026-01-13T06:48:49Z | 228 | 1 | null | [
"safetensors",
"llama",
"qwen3_vl",
"eagle3",
"eagle",
"arxiv:2509.24248",
"arxiv:2509.23809",
"region:us"
] | null | 2026-01-13T03:41:54Z | <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... | [] |
mradermacher/Qwen3.5-uncensored-GGUF | mradermacher | 2026-03-08T07:16:30Z | 1,015 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:oki0ki/Qwen3.5-uncensored",
"base_model:quantized:oki0ki/Qwen3.5-uncensored",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-08T07:12:45Z | ## 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": 514,
"end": 537,
"text": "Qwen3.5-uncensored-GGUF",
"label": "benchmark name",
"score": 0.615618109703064
}
] |
jiapingW/Qwen3.5-35B-A3B-Eagle3-Specforge | jiapingW | 2026-03-14T03:54:20Z | 139 | 2 | null | [
"safetensors",
"llama",
"question-answering",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:finetune:Qwen/Qwen3.5-35B-A3B",
"license:mit",
"region:us"
] | question-answering | 2026-03-14T03:32:04Z | #### Introduction
The Model is trained on the Ultrachat dataset regenerate by [Qwen3.5-35B-A3B](https://huggingface.co/datasets/jiapingW/qwen3.5-35b-a3b-ultrachat-regen). And I only train the first conversation. I use the Specforge to train this. The training parameter is listed below:
```
SCRIPT_DIR=$( cd -- "$( dir... | [] |
joyfox/Qwen-Image-Edit-Remover-General-LoRA | joyfox | 2025-08-25T12:05:27Z | 211 | 11 | diffusers | [
"diffusers",
"image-generation",
"lora",
"Qwen-Image",
"image-to-image",
"en",
"base_model:Qwen/Qwen-Image-Edit",
"base_model:adapter:Qwen/Qwen-Image-Edit",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-08-25T02:34:03Z | # valiantcat Qwen-Image-Edit LoRA
<Gallery />
## Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This is a model for object removal, trained on ```Qwen/Qwen-Image-Edit```, and is suitable for object removal tasks of e-commerce images, character images, and object images.For use i... | [] |
ai21labs/AI21-Jamba-Reasoning-3B-GGUF | ai21labs | 2026-02-02T11:37:51Z | 594 | 31 | transformers | [
"transformers",
"gguf",
"text-generation",
"arxiv:2507.02782",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-05T11:02:28Z | ## Introduction
AI21’s Jamba Reasoning 3B is a top-performing reasoning model that packs leading scores on intelligence benchmarks and highly-efficient processing into a compact 3B build.
<br> Read the full blog post [here](https://www.ai21.com/blog/introducing-jamba-reasoning-3B).
### Key Advantages
**Fast: Optim... | [
{
"start": 24,
"end": 42,
"text": "Jamba Reasoning 3B",
"label": "benchmark name",
"score": 0.8643180727958679
},
{
"start": 445,
"end": 450,
"text": "Mamba",
"label": "benchmark name",
"score": 0.733326256275177
},
{
"start": 972,
"end": 982,
"text": "Gem... |
reaperdoesntknow/DualMinded-Qwen3-1.7B | reaperdoesntknow | 2026-05-04T15:24:58Z | 2,580 | 4 | null | [
"safetensors",
"qwen3",
"dualmind",
"knowledge-distillation",
"topology-aware",
"self-critique",
"opus",
"convergent-intelligence",
"convergentintel",
"edge",
"distillation",
"text-generation",
"conversational",
"en",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:zai-or... | text-generation | 2026-03-29T15:55:15Z | # DualMinded-Qwen3-1.7B
A 1.7B parameter dual-cognition model trained on **Opus 4.6 reasoning traces**. The model implements a three-phase cognitive loop — explore, examine, respond — where it reasons freely, critiques its own reasoning, then synthesizes a clean answer.
**Convergent Intelligence LLC: Research Divisio... | [] |
unsloth/Qwen3-Coder-Next | unsloth | 2026-03-06T11:15:28Z | 37,866 | 23 | transformers | [
"transformers",
"safetensors",
"qwen3_next",
"text-generation",
"unsloth",
"qwen",
"qwen3",
"conversational",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:finetune:Qwen/Qwen3-Coder-Next",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-02T12:52:40Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<h1 style="margin-top: 0rem;">To Run Qwen3-Coder-Next locally - <a href="https://unsloth.ai/docs/models/qwen3-coder-next">Read our Guide!</a></h1>
</p>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://unsloth.ai/docs/basics/unsloth-dynamic-2... | [] |
z-lab/Qwen3-14B-PARO | z-lab | 2026-05-03T04:05:08Z | 305 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"mlx",
"conversational",
"arxiv:2511.10645",
"base_model:Qwen/Qwen3-14B",
"base_model:quantized:Qwen/Qwen3-14B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"paroquant",
"region:us"
] | text-generation | 2025-10-29T23:11:06Z | # z-lab/Qwen3-14B-PARO
**Pairwise Rotation Quantization for Efficient Reasoning LLM Inference**
<p>
<a href="https://arxiv.org/abs/2511.10645"><img src="https://img.shields.io/badge/arXiv-2511.10645-b31b1b.svg" alt="Paper"></a>
<a href="https://paroquant.z-lab.ai"><img src="https://img.shields.io/badge/Blog-ParoQ... | [] |
caiovicentino1/Qwen3.5-9B-Claude-Opus-HLWQ-Q5 | caiovicentino1 | 2026-04-13T18:51:23Z | 1,535 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"hlwq",
"quantized",
"compressed-tensors",
"int4",
"marlin",
"vllm",
"text-generation",
"conversational",
"en",
"zh",
"ko",
"ja",
"arxiv:2502.02617",
"arxiv:2603.29078",
"base_model:Jackrong/Qwen3.5-9B-Claude-4.6-Opu... | text-generation | 2026-03-31T22:16:39Z | > [!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": 0.8106973171234131
},
{
"start": 113,
"end": 117,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.8687000274658203
},
{
"start": 360,
"end": 364,
"text": "HLWQ",
"label... |
my-ai-stack/Stack-2-9-finetuned | my-ai-stack | 2026-04-12T02:21:24Z | 2,418 | 1 | transformers | [
"transformers",
"qwen2",
"text-generation",
"code-generation",
"python",
"fine-tuning",
"Qwen",
"tools",
"agent-framework",
"multi-agent",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-Coder-1.5B",
"base_model:finetune:Qwen/Qwen2.5-Coder-1.5B",
"license:apache-2.0",
"model-index",
... | text-generation | 2026-04-09T11:10:40Z | <p align="center">
<a href="https://github.com/my-ai-stack/stack-2.9">
<img src="https://img.shields.io/github/stars/my-ai-stack/stack-2.9?style=flat-square" alt="GitHub stars"/>
</a>
<a href="https://github.com/my-ai-stack/stack-2.9/blob/main/LICENSE">
<img src="https://img.shields.io/badge/License-Apach... | [] |
second-state/stable-diffusion-2-1-GGUF | second-state | 2024-08-20T07:24:35Z | 284 | 8 | null | [
"gguf",
"stable-diffusion",
"text-to-image",
"base_model:stabilityai/stable-diffusion-2-1",
"base_model:quantized:stabilityai/stable-diffusion-2-1",
"license:openrail++",
"region:us"
] | text-to-image | 2024-07-09T08:40:55Z | <!-- 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 ... | [] |
celestialcreator/Llama-3.2-1B-MTP-k8 | celestialcreator | 2026-03-05T10:51:57Z | 760 | 1 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"multi-token-prediction",
"speculative-decoding",
"self-distillation",
"mtp",
"consumer-gpu",
"rtx-5090",
"paper-reproduction",
"custom_code",
"en",
"dataset:jwkirchenbauer/metamathqa-grouped-split",
"arxiv:2602.06019",
"base_model... | text-generation | 2026-03-05T09:51:21Z | # Llama-3.2-1B-MTP-k8: Multi-Token Prediction on a Single Consumer GPU
This is a reproduction of **"Multi-Token Prediction via Self-Distillation"** ([arXiv 2602.06019](https://arxiv.org/abs/2602.06019)) adapted for a single NVIDIA RTX 5090 (32GB). The original paper used 4x NVIDIA GH200 (384GB total) with Llama-3.1-8B... | [
{
"start": 343,
"end": 355,
"text": "Llama-3.2-1B",
"label": "benchmark name",
"score": 0.682975709438324
},
{
"start": 1149,
"end": 1161,
"text": "Llama-3.2-1B",
"label": "benchmark name",
"score": 0.6789557337760925
}
] |
NC-AI-consortium-VAETKI/VAETKI | NC-AI-consortium-VAETKI | 2026-01-23T06:24:11Z | 104 | 58 | null | [
"safetensors",
"vaetki",
"VAETKI",
"causal-lm",
"text-generation",
"conversational",
"custom_code",
"ko",
"en",
"zh",
"ja",
"license:mit",
"region:us"
] | text-generation | 2025-12-16T01:41:11Z | <p align="center">
[<a href="https://huggingface.co/nc-ai-consortium/VAETKI">🤗 Models</a>] |
[<a href="https://github.com/wbl-ncai/VAETKI/tree/releases/v1.0.0">💻 Github</a>] |
[<a href="https://github.com/wbl-ncai/VAETKI/blob/releases/v1.0.0/VAETKI_Technical_Report.pdf">📝 Technical Report</a>]
</p>
## VAETKI... | [] |
mradermacher/gpt-oss-20b-Esper3.1-i1-GGUF | mradermacher | 2025-12-11T01:44:55Z | 529 | 1 | transformers | [
"transformers",
"gguf",
"esper",
"esper-3.1",
"esper-3",
"valiant",
"valiant-labs",
"gpt",
"gpt-oss",
"gpt-oss-20b",
"openai",
"20b",
"reasoning",
"code",
"code-instruct",
"python",
"javascript",
"dev-ops",
"jenkins",
"terraform",
"ansible",
"docker",
"kubernetes",
"hel... | null | 2025-10-23T20:34:47Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: MXFP4_MOE 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 ... | [] |
mradermacher/Trinity-Mini-GGUF | mradermacher | 2025-12-02T17:59:25Z | 305 | 2 | transformers | [
"transformers",
"gguf",
"en",
"es",
"fr",
"de",
"it",
"pt",
"ru",
"ar",
"hi",
"ko",
"zh",
"base_model:arcee-ai/Trinity-Mini",
"base_model:quantized:arcee-ai/Trinity-Mini",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-02T03:52:30Z | ## 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... | [] |
qualcomm/MediaPipe-Face-Detection | qualcomm | 2026-04-28T06:51:34Z | 469 | 33 | pytorch | [
"pytorch",
"real_time",
"android",
"object-detection",
"arxiv:1907.05047",
"license:other",
"region:us"
] | object-detection | 2024-02-25T23:05:00Z | 
# MediaPipe-Face-Detection: Optimized for Qualcomm Devices
Designed for sub-millisecond processing, this model predicts bounding boxes and pose skeletons (left eye, right eye, nose tip, mouth, l... | [] |
Efficient-Large-Model/Fast_dLLM_v2_7B | Efficient-Large-Model | 2026-01-22T14:52:27Z | 7,857 | 26 | null | [
"safetensors",
"Fast_dLLM_Qwen",
"custom_code",
"en",
"arxiv:2509.26328",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"license:apache-2.0",
"region:us"
] | null | 2025-09-16T09:42:45Z | # Fast-dLLM v2 (7B) — Efficient Block-Diffusion LLM
## 📖 Introduction
Autoregressive (AR) large language models (LLMs) have achieved remarkable performance across a wide range of natural language tasks, yet their **inherent sequential decoding limits inference efficiency**.
We present **Fast-dLLM v2** — a carefully... | [] |
TurbulenceDeterministe/Carnice-9b-W8A16-AWQ | TurbulenceDeterministe | 2026-04-27T17:12:06Z | 22,512 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"hermes-agent",
"merged",
"standalone",
"qwen3.5",
"terminal",
"browser",
"tool-use",
"reasoning",
"text-generation",
"conversational",
"base_model:kai-os/Carnice-9b",
"base_model:quantized:kai-os/Carnice-9b",
"license:a... | text-generation | 2026-04-11T23:17:34Z | # Carnice-9b W8A16 AWQ :
8-bit symmetric AWQ quantization of [kai-os/Carnice-9b](https://huggingface.co/kai-os/Carnice-9b), optimized for Ampere GPUs (RTX 30-series) with vLLM.
## How it works :
`kai-os/Carnice-9b` is a fine-tune of `Qwen/Qwen3.5-9B` that drops the visual components and uses the `Qwen3_5ForCausalLM`... | [
{
"start": 1014,
"end": 1035,
"text": "Avg prompt throughput",
"label": "evaluation metric",
"score": 0.6084522604942322
},
{
"start": 1050,
"end": 1075,
"text": "Avg generation throughput",
"label": "evaluation metric",
"score": 0.6708794832229614
}
] |
INSAIT-Institute/MamayLM-Gemma-3-4B-IT-v1.0 | INSAIT-Institute | 2025-09-27T13:14:32Z | 1,999 | 13 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"instruct",
"mamaylm",
"insait",
"conversational",
"uk",
"en",
"dataset:Goader/kobza",
"dataset:HuggingFaceFW/fineweb-2",
"dataset:HPLT/HPLT2.0_cleaned",
"dataset:wikimedia/wikipedia",
"dataset:HuggingFaceTB/smoltalk2",
"da... | image-text-to-text | 2025-08-29T22:23:52Z | # INSAIT-Institute/MamayLM-Gemma-3-4B-IT-v1.0
INSAIT introduces **MamayLM-Gemma-3-4B-IT-v1.0**, the best performing Ukrainian language model based on **google/gemma-3-4b-pt** and **google/gemma-3-4b-... | [
{
"start": 187,
"end": 213,
"text": "MamayLM-Gemma-3-4B-IT-v1.0",
"label": "benchmark name",
"score": 0.7387152910232544
},
{
"start": 326,
"end": 352,
"text": "MamayLM-Gemma-3-4B-IT-v1.0",
"label": "benchmark name",
"score": 0.6730983257293701
},
{
"start": 1813,... |
unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF | unsloth | 2025-07-25T18:57:20Z | 2,660 | 83 | transformers | [
"transformers",
"gguf",
"qwen",
"qwen3",
"unsloth",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-235B-A22B-Thinking-2507",
"base_model:quantized:Qwen/Qwen3-235B-A22B-Thinking-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-07-25T08:20:54Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/qwen3-680edabfb790c8c34a242f95">our collection</a> for all versions of Qwen3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Qwen3-2507 co... | [] |
WWTCyberLab/gemma-4-26B-A4B-it-abliterated | WWTCyberLab | 2026-04-12T00:13:01Z | 2,870 | 2 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"abliteration",
"safety-research",
"alignment",
"moe",
"text-generation",
"conversational",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:finetune:google/gemma-4-26B-A4B-it",
"license:gemma",
"endpoints_compatible",
"re... | text-generation | 2026-04-06T07:11:48Z | # Gemma 4 26B-A4B-IT - Abliterated (MoE, Multi-Pass + Suppression)
**Safety-alignment substantially removed via multi-pass ablation and token suppression for security research.**
## Results
| Metric | Value |
|--------|-------|
| **Refusal Rate** | 4.2% hard refusal (2/48), 25% soft hedging (12/48) at temp 0.4 |
| *... | [
{
"start": 408,
"end": 417,
"text": "Elo Delta",
"label": "evaluation metric",
"score": 0.6700814366340637
}
] |
OpenMed/OpenMed-PII-Spanish-SuperClinical-Large-434M-v1 | OpenMed | 2026-02-18T17:55:16Z | 9,829 | 3 | transformers | [
"transformers",
"safetensors",
"deberta-v2",
"token-classification",
"ner",
"pii",
"pii-detection",
"de-identification",
"privacy",
"healthcare",
"medical",
"clinical",
"phi",
"spanish",
"pytorch",
"openmed",
"es",
"base_model:microsoft/deberta-v3-large",
"base_model:finetune:mic... | token-classification | 2026-02-17T18:42:45Z | # OpenMed-PII-Spanish-SuperClinical-Large-434M-v1
**Spanish PII Detection Model** | 434M Parameters | Open Source
[]() []() [... | [
{
"start": 1320,
"end": 1329,
"text": "Precision",
"label": "evaluation metric",
"score": 0.737378716468811
}
] |
SWE-Swiss/SWE-Swiss-32B | SWE-Swiss | 2025-09-28T01:05:45Z | 214 | 10 | null | [
"safetensors",
"qwen2",
"license:mit",
"region:us"
] | null | 2025-08-04T13:48:00Z | # SWE-Swiss-32B
<p align="center">
<img src="figure1.png" alt="SWE-Swiss Performance Chart" width="85%">
</p>
<p align="center">
<em>Figure 1: Performance and model size comparison on SWE-bench Verified. Our 32B model achieves a top-tier score of 60.2%.</em>
</p>
**SWE-Swiss-32B** is a 32B parameter model, fine-... | [
{
"start": 234,
"end": 248,
"text": "top-tier score",
"label": "evaluation metric",
"score": 0.6305968165397644
}
] |
mradermacher/gemma-3-12b-it-ultra-uncensored-heretic-i1-GGUF | mradermacher | 2026-03-17T12:14:59Z | 871 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:llmfan46/gemma-3-12b-it-ultra-uncensored-heretic",
"base_model:quantized:llmfan46/gemma-3-12b-it-ultra-uncensored-heretic",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conv... | null | 2026-03-17T11:28:15Z | ## 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": 640,
"end": 687,
"text": "gemma-3-12b-it-ultra-uncensored-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6388931274414062
}
] |
Nikhil1581/qwen3.5-2b.Q4_K_M-excel_fine_tuning | Nikhil1581 | 2026-04-20T05:49:18Z | 225 | 2 | null | [
"gguf",
"qwen3",
"excel",
"spreadsheet",
"fine-tuned",
"conversational",
"text-generation",
"function-calling",
"en",
"base_model:Qwen/Qwen3.5-2B",
"base_model:quantized:Qwen/Qwen3.5-2B",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-12T06:45:46Z | # Qwen3.5-2B Excel Assistant — GGUF Q4\_K\_M
A lightweight **Qwen3.5-2B** model fine-tuned on ~2,000 Excel instruction–response pairs and quantized to **GGUF Q4\_K\_M** — shrinking from 2.7 GB down to **1.27 GB (52.96% smaller)** for fast, fully local inference via Ollama or llama.cpp. Drop-in alternative to the large... | [] |
mixer3d/step-3.5-flash-imatrix-gguf | mixer3d | 2026-02-09T13:20:02Z | 132 | 1 | null | [
"gguf",
"llama.cpp",
"imatrix",
"strix-halo",
"moe",
"text-generation",
"base_model:stepfun-ai/Step-3.5-Flash",
"base_model:quantized:stepfun-ai/Step-3.5-Flash",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-02-08T14:56:00Z | # step-3.5-flash-imatrix-gguf
This repo contains GGUF weights for [stepfun-ai/Step-3.5-Flash](https://huggingface.co/stepfun-ai/Step-3.5-Flash) with imatrix. Tested on strix halo.
This imatrix version fits into ~104 GiB of VRAM/RAM, saving roughly 7 GiB compared to the standard Q4_K_M, while actually providing sligh... | [
{
"start": 188,
"end": 195,
"text": "imatrix",
"label": "benchmark name",
"score": 0.6491259932518005
},
{
"start": 566,
"end": 570,
"text": "ROCm",
"label": "benchmark name",
"score": 0.6769202351570129
},
{
"start": 579,
"end": 585,
"text": "Vulkan",
... |
ubergarm/DeepSeek-V3.1-Terminus-GGUF | ubergarm | 2025-09-26T23:45:12Z | 124 | 8 | null | [
"gguf",
"mla",
"imatrix",
"deepseek_v3",
"conversational",
"ik_llama.cpp",
"text-generation",
"base_model:deepseek-ai/DeepSeek-V3.1-Terminus",
"base_model:quantized:deepseek-ai/DeepSeek-V3.1-Terminus",
"license:mit",
"region:us"
] | text-generation | 2025-09-23T14:07:52Z | ## `ik_llama.cpp` imatrix Quantizations of deepseek-ai/DeepSeek-V3.1-Terminus
This quant collection **REQUIRES** [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp/) fork to support the ik's latest SOTA quants and optimizations! Do **not** download these big files and expect them to run on mainline vanilla llama.... | [] |
mradermacher/Tema_Q-R-4B-GGUF | mradermacher | 2026-03-13T19:27:08Z | 398 | 1 | transformers | [
"transformers",
"gguf",
"gemma",
"gemma3",
"transformer",
"instruction-tuned",
"multilingual",
"uncensored",
"non-censored",
"unfiltered",
"ja",
"en",
"zh",
"base_model:temaq-org/Tema_Q-R-4B",
"base_model:quantized:temaq-org/Tema_Q-R-4B",
"license:gemma",
"endpoints_compatible",
"r... | null | 2026-01-10T08:51:05Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
cosmicproc/gemma-4-E4B-it-NVFP4 | cosmicproc | 2026-04-15T06:18:57Z | 15,238 | 8 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"nvfp4",
"quantized",
"modelopt",
"any-to-any",
"multimodal",
"conversational",
"base_model:google/gemma-4-E4B-it",
"base_model:quantized:google/gemma-4-E4B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-04T06:18:29Z | <div align="center">
<img src=https://ai.google.dev/gemma/images/gemma4_banner.png>
</div>
> **This is a NVFP4 quantized variant** of [`google/gemma-4-E4B-it`](https://huggingface.co/google/gemma-4-E4B-it).
>
> - Weights and activations of the core transformer linear layers have been quantized to
> **NVFP4** (W4A4)... | [] |
llmfan46/Qwen3.5-40B-Claude-4.5-Opus-High-Reasoning-Thinking-uncensored-heretic | llmfan46 | 2026-04-13T01:14:41Z | 396 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"fine tune",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"sci... | image-text-to-text | 2026-03-15T16:19:56Z | <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/LiarAI-i1-GGUF | mradermacher | 2026-04-18T17:36:33Z | 3,525 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"qwen3_5",
"liarai",
"faunix",
"qwen3.5",
"text-generation",
"unsloth",
"en",
"base_model:faunix/LiarAI",
"base_model:quantized:faunix/LiarAI",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-04-03T13:58:55Z | ## 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": 605,
"end": 619,
"text": "LiarAI-i1-GGUF",
"label": "benchmark name",
"score": 0.713383138179779
},
{
"start": 1165,
"end": 1179,
"text": "LiarAI-i1-GGUF",
"label": "benchmark name",
"score": 0.6439544558525085
},
{
"start": 1323,
"end": 1337,
"... |
imliuyu/qwen3.5-9b-dsr1-cot-sft | imliuyu | 2026-03-24T03:49:27Z | 102 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"qwen3.5",
"llm",
"causal-lm",
"text-generation",
"chain-of-thought",
"reasoning",
"cot-optimization",
"conversational",
"en",
"zh",
"dataset:Chinese-DeepSeek-R1-Distill-data-110k-SFT",
"base_model:Qwen/Qwen3.5-9B",
"bas... | text-generation | 2026-03-23T13:26:11Z | **This model is a fine-tuned variant of Qwen3.5-9B**, built on top of the original model and trained using a carefully selected subset of STEM and math data from the DeepSeek-R1 dataset. It is optimized for more concise and rational chain-of-thought reasoning.
---
[中文](README_zh.md) [English](README.md)
# Model High... | [
{
"start": 804,
"end": 820,
"text": "Overall Accuracy",
"label": "evaluation metric",
"score": 0.6517356634140015
},
{
"start": 856,
"end": 873,
"text": "Compression Ratio",
"label": "evaluation metric",
"score": 0.6203553676605225
}
] |
Simonlee711/Clinical_ModernBERT | Simonlee711 | 2025-05-11T14:21:05Z | 14,737 | 39 | transformers | [
"transformers",
"safetensors",
"bert",
"fill-mask",
"biomedical-text",
"nlp",
"biomedical-nlp",
"discharge-notes",
"healthcare",
"pubmed",
"feature-extraction",
"en",
"dataset:ncbi/pubmed",
"arxiv:2504.03964",
"base_model:answerdotai/ModernBERT-base",
"base_model:finetune:answerdotai/M... | feature-extraction | 2025-03-27T04:21:39Z | # Clinical ModernBERT
Clinical ModernBERT is a state-of-the-art encoder-based transformer tailored specifically for biomedical and clinical text handling context length up to **8192 tokens**. Building on the innovations introduced by ModernBERT, this model extends the context window to 8,192 tokens and incorporates do... | [] |
lmstudio-community/Qwen3-4B-Instruct-2507-MLX-8bit | lmstudio-community | 2025-08-06T14:40:13Z | 59,486 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"mlx",
"conversational",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"8-bit",
"region:us"
] | text-generation | 2025-08-06T14:39:32Z | ## 💫 Community Model> Qwen3-4B-Instruct-2507 by Qwen
_👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)_.
**Model creator**: [Qwen](https://huggingface.co/Qwen)<br>
**Origin... | [] |
NeoQuasar/Kronos-Tokenizer-2k | NeoQuasar | 2025-09-09T14:09:37Z | 164,781 | 3 | torch | [
"torch",
"safetensors",
"Finance",
"Candlestick",
"K-line",
"time-series-forecasting",
"arxiv:2508.02739",
"license:mit",
"region:us"
] | time-series-forecasting | 2025-07-01T08:50:30Z | # Kronos: A Foundation Model for the Language of Financial Markets
[](https://arxiv.org/abs/2508.02739)
[](https://shiyu-coder.github.io/Kronos-demo/)
[![GitHub](https://img.sh... | [] |
principled-intelligence/scope-guard-4B-q-2601 | principled-intelligence | 2026-04-28T15:00:55Z | 403 | 11 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"safety",
"guardrails",
"guardrailing",
"scope",
"conversational",
"en",
"it",
"fr",
"es",
"de",
"base_model:unsloth/Qwen3-4B-Instruct-2507",
"base_model:finetune:unsloth/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text... | text-generation | 2026-01-19T14:31:23Z | # ScopeGuard — A Governance SLM for Multilingual Scope Classification
ScopeGuard is a **small language model (SLM)** designed for a specific aspect of AI governance: **multilingual scope classification**.
Instead of optimizing for open-ended generation, ScopeGuard is trained to make **reliable, consistent, low-latenc... | [] |
mradermacher/nsfwcaption-qwen3-vl-8b-v3-safetensors-GGUF | mradermacher | 2026-01-28T14:08:52Z | 214 | 1 | transformers | [
"transformers",
"gguf",
"llama-factory",
"en",
"base_model:GitMylo/nsfwcaption-qwen3-vl-8b-v3-safetensors",
"base_model:quantized:GitMylo/nsfwcaption-qwen3-vl-8b-v3-safetensors",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-28T13:36:42Z | ## 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... | [] |
mradermacher/Huihui-IQuest-Coder-V1-40B-Instruct-abliterated-GGUF | mradermacher | 2026-01-05T07:31:11Z | 102 | 1 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-IQuest-Coder-V1-40B-Instruct-abliterated",
"base_model:quantized:huihui-ai/Huihui-IQuest-Coder-V1-40B-Instruct-abliterated",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-05T06:27:57Z | ## 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... | [] |
Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice | Qwen | 2026-01-29T08:00:54Z | 991,293 | 1,317 | null | [
"safetensors",
"qwen3_tts",
"text-to-speech",
"arxiv:2601.15621",
"license:apache-2.0",
"region:us"
] | text-to-speech | 2026-01-21T08:56:49Z | # Qwen3-TTS
## Overview
### Introduction
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/qwen3_tts_introduction.png" width="90%"/>
<p>
Qwen3-TTS covers 10 major languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, and Italian) as... | [] |
Qwen/Qwen3-VL-32B-Thinking-FP8 | Qwen | 2025-11-26T13:18:23Z | 20,392 | 25 | 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",
"fp8",
"deploy:azure",
"region:us"
] | image-text-to-text | 2025-10-19T12:39:10Z | <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-32B-Thinking-FP8
> This repository contains an FP8 quantized version of ... | [] |
mradermacher/Huihui-Qwen3-VL-4B-Instruct-abliterated-i1-GGUF | mradermacher | 2025-12-07T15:37:42Z | 522 | 5 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Qwen3-VL-4B-Instruct-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3-VL-4B-Instruct-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-03T09:25:49Z | ## 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_... | [] |
MaziyarPanahi/Mixtral-8x22B-v0.1-GGUF | MaziyarPanahi | 2024-04-15T20:30:10Z | 90,423 | 76 | transformers | [
"transformers",
"gguf",
"mixtral",
"text-generation",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"16-bit",
"GGUF",
"moe",
"fr",
"en",
"es",
"it",
"de",
"base_model:v2ray/Mixtral-8x22B-v0.1",
"base_model:quantized:v2ray/Mixtral-8x22B-v0.1",
"license:a... | text-generation | 2024-04-10T10:26:05Z | <img src="./mixtral-8x22b.jpeg" width="600" />
# Mixtral-8x22B-v0.1-GGUF
On April 10th, [@MistralAI](https://huggingface.co/mistralai) released a model named "Mixtral 8x22B," an 176B MoE via magnet link (torrent):
- 141B MoE with ~35B active
- Context length of 65k tokens
- The base model can be fine-tuned
- Require... | [
{
"start": 161,
"end": 174,
"text": "Mixtral 8x22B",
"label": "benchmark name",
"score": 0.7373132705688477
}
] |
bartowski/Llama-3.2-3B-Instruct-GGUF | bartowski | 2024-10-08T14:01:10Z | 480,672 | 195 | null | [
"gguf",
"facebook",
"meta",
"llama",
"llama-3",
"text-generation",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:quantized:meta-llama/Llama-3.2-3B-Instruct",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"c... | text-generation | 2024-09-25T18:35:33Z | ## Llamacpp imatrix Quantizations of Llama-3.2-3B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3821">b3821</a> for quantization.
Original model: https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct
All quants m... | [] |
Magic-Decensored/Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA-GGUF | Magic-Decensored | 2026-02-16T09:12:00Z | 198 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"image-text-to-text",
"arxiv:2402.17463",
"arxiv:2507.18071",
"arxiv:2510.01141",
"base_model:MagicalAlchemist/Apriel-1.6-15b-Thinker-Magic_alpha-decensored_MPOA",
"base_model:quantized:MagicalAlchemist/Apriel-1.6-15... | image-text-to-text | 2026-02-14T22:34:15Z | # This is a decensored version of [ServiceNow-AI/Apriel-1.6-15b-Thinker](https://huggingface.co/ServiceNow-AI/Apriel-1.6-15b-Thinker), made using [Heretic](https://github.com/p-e-w/heretic) v1.1.0
### **Fix : Corrected jinja chat template and tokenizer config**
<img src="https://i.imgur.com/MsFl6rC.jpeg" alt="Really yo... | [
{
"start": 457,
"end": 479,
"text": "attn.o_proj.max_weight",
"label": "evaluation metric",
"score": 0.6585188508033752
},
{
"start": 495,
"end": 526,
"text": "attn.o_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.753581702709198
},
{
"start":... |
Prior-Labs/tabpfn_2_6 | Prior-Labs | 2026-04-02T10:00:43Z | 2,831 | 10 | null | [
"chemistry",
"biology",
"finance",
"legal",
"climate",
"medical",
"tabular-classification",
"license:other",
"region:us"
] | tabular-classification | 2026-03-24T08:13:33Z | ### Model Overview
TabPFN-2.6 is a transformer-based foundation model that uses in-context-learning to solve tabular prediction problems in a forward pass.
Inference code can be found at [https://github.com/PriorLabs/tabPFN](https://github.com/PriorLabs/tabPFN).
### Getting started
First, install the inference package... | [
{
"start": 19,
"end": 29,
"text": "TabPFN-2.6",
"label": "benchmark name",
"score": 0.7155271172523499
},
{
"start": 1590,
"end": 1600,
"text": "TabPFN-2.6",
"label": "benchmark name",
"score": 0.6885123252868652
},
{
"start": 1722,
"end": 1730,
"text": "T... |
ServiceNow-AI/Apriel-1.6-15b-Thinker-GGUF | ServiceNow-AI | 2025-12-16T20:40:49Z | 722 | 13 | gguf | [
"gguf",
"llama-cpp",
"vision",
"multimodal",
"reasoning",
"arxiv:2510.01141",
"base_model:ServiceNow-AI/Apriel-1.6-15b-Thinker",
"base_model:quantized:ServiceNow-AI/Apriel-1.6-15b-Thinker",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-16T17:25:55Z | # Apriel-1.6-15b-Thinker GGUF
GGUF quantization of [ServiceNow-AI/Apriel-1.6-15b-Thinker](https://huggingface.co/ServiceNow-AI/Apriel-1.6-15b-Thinker) with a corrected chat template for proper tool calling and reasoning.
# Files
| Filename | Quant | Size | Description |
|----------|-------|------|-------------|
| `A... | [] |
codefuse-ai/F2LLM-v2-160M | codefuse-ai | 2026-04-04T03:48:56Z | 698 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"sentence-transformers",
"en",
"zh",
"ru",
"es",
"fr",
"de",
"ar",
"nl",
"vi",
"hi",
"ko",
"ja",
"it",
"id",
"pt",
"pl",
"tr",
"da",
"th",
"sv",
"fa",
"uk",
"cs",
"no",
"el",
"ca",
"ro",
"fi... | feature-extraction | 2026-03-09T08:47:30Z | # F2LLM-v2-160M
F2LLM-v2 is a family of general-purpose, multilingual embedding models in 8 distinct sizes ranging from 80M to 14B. Trained on a curated composite of 60 million publicly available high-quality data, F2LLM-v2 supports more than 200 languages, with a particular emphasis on previously underserved mid- and... | [] |
bharatgenai/Param2-17B-A2.4B-Thinking | bharatgenai | 2026-04-09T09:36:49Z | 6,504 | 62 | transformers | [
"transformers",
"safetensors",
"param2moe",
"text-generation",
"mixture-of-experts",
"multilingual",
"indian-languages",
"conversational",
"custom_code",
"hi",
"en",
"as",
"bn",
"brx",
"doi",
"gu",
"kn",
"ks",
"mai",
"ml",
"mni",
"mr",
"ne",
"or",
"pa",
"sa",
"sat... | text-generation | 2026-02-16T19:11:58Z | <div align="center">
<img src="./BharatGen Logo.png" width="60%" alt="BharatGen" />
</div>
<hr>
<div align="center">
<a href="https://huggingface.co/bharatgenai/Param-2-17B-MoE-A2.4B/blob/main/LICENSE" target="_blank" style="margin: 4px;">
<img alt="License" src="https://img.shields.io/badge/License-BharatGen%2... | [] |
andrevp/Qwen3.5-35B-A3B-MLX-VLM-3bit | andrevp | 2026-03-03T08:21:15Z | 733 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"vision",
"multimodal",
"3-bit",
"quantized",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2026-03-03T06:16:07Z | # Qwen3.5-35B-A3B-3bit — MLX VLM
3-bit quantized [Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B) in **MLX** format with **full vision support** for Apple Silicon.
Converted with [mlx-vlm](https://github.com/Blaizzy/mlx-vlm) to preserve the complete multimodal architecture including vision tower weights... | [] |
CompendiumLabs/bge-small-en-v1.5-gguf | CompendiumLabs | 2024-02-17T21:48:37Z | 5,794 | 7 | null | [
"gguf",
"license:mit",
"endpoints_compatible",
"region:us",
"feature-extraction"
] | null | 2024-02-17T21:43:14Z | <img src="https://raw.githubusercontent.com/CompendiumLabs/compendiumlabs.ai/main/images/logo_text_crop.png" alt="Compendium Labs" style="width: 500px;">
# bge-small-en-v1.5-gguf
Source model: https://huggingface.co/BAAI/bge-small-en-v1.5
Quantized and unquantized embedding models in GGUF format for use with `llama.c... | [
{
"start": 403,
"end": 407,
"text": "ONNX",
"label": "benchmark name",
"score": 0.6174826622009277
}
] |
Qwen/Qwen3-Embedding-8B | Qwen | 2025-07-07T09:02:21Z | 1,543,662 | 621 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-generation",
"transformers",
"sentence-similarity",
"feature-extraction",
"text-embeddings-inference",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:finetune:Qwen/Qwen3-8B-Base",
"license:apache-2.0",
"endpoints_compat... | feature-extraction | 2025-06-03T14:39:10Z | # Qwen3-Embedding-8B
<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": "evaluation metric",
"score": 0.7173008322715759
}
] |
sileod/deberta-v3-large-tasksource-nli | sileod | 2024-02-17T05:12:52Z | 4,144 | 38 | transformers | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"text-classification",
"deberta-v3-large",
"nli",
"natural-language-inference",
"multitask",
"multi-task",
"pipeline",
"extreme-multi-task",
"extreme-mtl",
"tasksource",
"zero-shot",
"rlhf",
"zero-shot-classification",
"en",
... | zero-shot-classification | 2023-03-27T08:47:29Z | # Model Card for DeBERTa-v3-large-tasksource-nli
DeBERTa-v3-large fine-tuned with multi-task learning on 600 tasks of the [tasksource collection](https://github.com/sileod/tasksource/)
You can further fine-tune this model to use it for any classification or multiple-choice task.
This checkpoint has strong zero-shot va... | [
{
"start": 606,
"end": 614,
"text": "bigbench",
"label": "benchmark name",
"score": 0.7011731863021851
},
{
"start": 616,
"end": 630,
"text": "Anthropic rlhf",
"label": "benchmark name",
"score": 0.6114178895950317
}
] |
unsloth/Ministral-3-14B-Instruct-2512-bnb-4bit | unsloth | 2025-12-06T08:20:01Z | 1,810 | 1 | vllm | [
"vllm",
"safetensors",
"mistral3",
"mistral-common",
"mistral",
"unsloth",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:mistralai/Ministral-3-14B-Instruct-2512",
"base_model:quantized:mistralai/Ministral-3-14B-Instruct-2512",
"license:apache-2.0... | null | 2025-12-06T08:19:42Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See our <a href="https://huggingface.co/collections/unsloth/ministral-3">Ministral 3 collection</a> for all versions including GGUF, 4-bit & FP8 formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Ministral correctly - <a href="h... | [
{
"start": 125,
"end": 136,
"text": "ministral-3",
"label": "benchmark name",
"score": 0.814977765083313
},
{
"start": 138,
"end": 149,
"text": "Ministral 3",
"label": "benchmark name",
"score": 0.7076323628425598
},
{
"start": 192,
"end": 196,
"text": "GG... |
unsloth/Qwen3-4B-Thinking-2507 | unsloth | 2025-08-06T21:10:01Z | 3,633 | 8 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"unsloth",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B-Thinking-2507",
"base_model:finetune:Qwen/Qwen3-4B-Thinking-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-06T19:14:23Z | <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... | [] |
cis-lmu/glotlid | cis-lmu | 2024-04-18T11:18:42Z | 70,691 | 96 | fasttext | [
"fasttext",
"text-classification",
"language-identification",
"aah",
"aai",
"aak",
"aau",
"aaz",
"ab",
"aba",
"abi",
"abk",
"abn",
"abq",
"abs",
"abt",
"abx",
"aby",
"abz",
"aca",
"acd",
"ace",
"acf",
"ach",
"acm",
"acn",
"acq",
"acr",
"acu",
"ada",
"ade",... | text-classification | 2023-10-19T23:46:58Z | # GlotLID
[](https://huggingface.co/spaces/cis-lmu/glotlid-space)
## Description
**GlotLID** is a Fasttext language identification (LID) model that supports more than **2000 labels**.
**Latest:** GlotLID is now updated to **V3**. V3 supports **... | [] |
mradermacher/Qwen3.5-21B-Claude-4.6-Opus-Thinking-EXP2-i1-GGUF | mradermacher | 2026-04-22T16:09:16Z | 533 | 3 | transformers | [
"transformers",
"gguf",
"unsloth",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"writing",
"viv... | null | 2026-03-12T09:50:45Z | ## 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_... | [
{
"start": 463,
"end": 504,
"text": "Qwen3.5-21B-Claude-4.6-Opus-Thinking-EXP2",
"label": "benchmark name",
"score": 0.6232022047042847
},
{
"start": 641,
"end": 690,
"text": "Qwen3.5-21B-Claude-4.6-Opus-Thinking-EXP2-i1-GGUF",
"label": "benchmark name",
"score": 0.715094... |
mradermacher/Qwen3.5-35B-A3B-heretic-v2-eq-v1-i1-GGUF | mradermacher | 2026-03-21T06:59:35Z | 7,628 | 1 | transformers | [
"transformers",
"gguf",
"qwen3.5",
"moe",
"dpo",
"abliterated",
"emotional-intelligence",
"eq-bench",
"empathy",
"bfloat16",
"en",
"dataset:nivvis/eq-dpo",
"base_model:nivvis/Qwen3.5-35B-A3B-heretic-v2-eq-v1",
"base_model:quantized:nivvis/Qwen3.5-35B-A3B-heretic-v2-eq-v1",
"license:apach... | null | 2026-03-20T09:13:38Z | ## 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": 671,
"text": "Qwen3.5-35B-A3B-heretic-v2-eq-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.6924540400505066
},
{
"start": 745,
"end": 782,
"text": "Qwen3.5-35B-A3B-heretic-v2-eq-v1-GGUF",
"label": "benchmark name",
"score": 0.664743185043335
}... |
deepseek-ai/DeepSeek-V3-Base | deepseek-ai | 2025-03-27T04:00:09Z | 15,067 | 1,685 | null | [
"safetensors",
"deepseek_v3",
"custom_code",
"arxiv:2412.19437",
"fp8",
"region:us"
] | null | 2024-12-25T12:52:06Z | <!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div align="center" style="line-... | [] |
kakaocorp/kanana-safeguard-prompt-2.1b | kakaocorp | 2025-05-26T13:16:39Z | 2,582 | 18 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"ko",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-05-26T12:58:24Z | # Kanana Safeguard-Prompt
[📦 Models](https://huggingface.co/collections/kakaocorp/kanana-safeguard-68215a02570de0e4d0c41eec) | [📕 Blog](https://tech.kakao.com/posts/705)
## 모델 상세설명
Kanana Safeguard-Prompt는 카카오의 자체 언어모델인 Kanana 2.1B를 기반으로 한 프롬프트 공격 탐지 모델입니다. 이 모델은 대화형 AI 시스템 내 사용자의 발화로부터 악의적인 공격과 관련된 리스크 여부를 분류하도록 학... | [] |
DuoNeural/Gemma-4-E4B-Abliterated-GGUF | DuoNeural | 2026-04-29T02:19:52Z | 2,735 | 6 | transformers | [
"transformers",
"gguf",
"code",
"gemma4",
"abliterated",
"unsloth",
"4bit",
"uncensored",
"base_model:google/gemma-4-E4B-it",
"base_model:quantized:google/gemma-4-E4B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-08T16:49:29Z | # Gemma 4 E4B Abliterated GGUF (4-bit)
## Model Description
This repository contains the **Gemma 4 E4B** model after undergoing "abliteration"—a process to remove refusal vectors while preserving the model's core intelligence. This version is particularly effective for research and creative use cases where strict adhe... | [
{
"start": 546,
"end": 566,
"text": "Initial Refusal Rate",
"label": "evaluation metric",
"score": 0.6309071779251099
},
{
"start": 668,
"end": 681,
"text": "KL Divergence",
"label": "evaluation metric",
"score": 0.6624158620834351
}
] |
cyankiwi/Hermes-4.3-36B-AWQ-4bit | cyankiwi | 2025-12-04T08:54:37Z | 611 | 1 | transformers | [
"transformers",
"safetensors",
"seed_oss",
"text-generation",
"Bytedance Seed",
"instruct",
"finetune",
"reasoning",
"hybrid-mode",
"chatml",
"function calling",
"tool use",
"json mode",
"structured outputs",
"atropos",
"dataforge",
"long context",
"roleplaying",
"chat",
"conve... | text-generation | 2025-12-03T23:00:18Z | # Hermes 4.3 - Seed 36B
## Model Description
Hermes 4.3 36B is a frontier, hybrid-mode **reasoning** model based on ByteDance Seed 36B base, made by Nous Research that is aligned to **you**.
This ... | [] |
prithivMLmods/Qwen2.5-VL-7B-Instruct-Unredacted-MAX | prithivMLmods | 2026-02-23T14:18:30Z | 124 | 4 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"vllm",
"pytorch",
"BF16",
"max",
"legal",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune... | image-text-to-text | 2026-02-22T06:14:37Z | 
# **Qwen2.5-VL-7B-Instruct-Unredacted-MAX**
> **Qwen2.5-VL-7B-Instruct-Unredacted-MAX** is an unredacted evolution built on top of **Qwen2.5-VL-7B-Instruct**. This model applies advanced abliterated training... | [] |
mradermacher/Qwen3-4B-Thinking-2509-Genius-Coder-AI-Full-GGUF | mradermacher | 2026-02-17T20:56:10Z | 1,445 | 4 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3",
"en",
"base_model:rahul7star/Qwen3-4B-Thinking-2509-Genius-Coder-AI-Full",
"base_model:quantized:rahul7star/Qwen3-4B-Thinking-2509-Genius-Coder-AI-Full",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"convers... | null | 2026-02-17T20:14:52Z | ## 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": 363,
"end": 406,
"text": "Qwen3-4B-Thinking-2509-Genius-Coder-AI-Full",
"label": "benchmark name",
"score": 0.6081238985061646
},
{
"start": 543,
"end": 591,
"text": "Qwen3-4B-Thinking-2509-Genius-Coder-AI-Full-GGUF",
"label": "benchmark name",
"score": 0.70952... |
thelamapi/next2-air-GGUF | thelamapi | 2026-03-11T15:56:53Z | 872 | 1 | transformers | [
"transformers",
"gguf",
"turkish",
"türkiye",
"reasoning",
"vision-language",
"vlm",
"multimodal",
"lamapi",
"next2-air",
"qwen3.5",
"text-generation",
"image-text-to-text",
"open-source",
"2b",
"edge-ai",
"large-language-model",
"llm",
"thinking-mode",
"fast-inference",
"tr"... | image-text-to-text | 2026-03-11T15:01:50Z | <div align="center" style="font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;">
<h1 style="color: #0ea5e9; font-weight: 800; font-size: 2.8em; margin-bottom: 5px; letter-spacing:... | [] |
Qwen/Qwen3Guard-Stream-0.6B | Qwen | 2025-11-07T07:36:26Z | 109,327 | 29 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"custom_code",
"arxiv:2510.14276",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2025-09-23T11:46:30Z | # Qwen3Guard-Stream-0.6B
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3Guard/Qwen3Guard_logo.png" width="400"/>
<p>
**Qwen3Guard** is a series of safety moderation models built upon Qwen3 and trained on a dataset of 1.19 million prompts and responses labeled for safety. The ser... | [] |
Hcompany/Holo3-35B-A3B | Hcompany | 2026-04-02T08:03:58Z | 603 | 182 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"multimodal",
"action",
"agent",
"pytorch",
"computer use",
"gui agents",
"moe",
"conversational",
"en",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:finetune:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints... | image-text-to-text | 2026-03-23T17:21:57Z | # **Holo3: Foundational Models for Navigation and Computer Use Agents**
## **Model Description**
**Holo3** is our latest generation of large-scale Vision-Language Models (VLMs) specifically optimized for **GUI Agents**. Like its predecessors, it operates across diverse digital environments—web, desktop, and mobile—b... | [] |
Qwen/Qwen2.5-3B | Qwen | 2024-09-20T07:58:00Z | 482,168 | 174 | null | [
"safetensors",
"qwen2",
"text-generation",
"conversational",
"en",
"arxiv:2407.10671",
"license:other",
"region:us"
] | text-generation | 2024-09-15T12:17:03Z | # Qwen2.5-3B
## 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 knowledge** a... | [] |
unsloth/gemma-4-31B-it-unsloth-bnb-4bit | unsloth | 2026-04-15T14:13:29Z | 164,641 | 10 | null | [
"safetensors",
"gemma4",
"unsloth",
"gemma",
"google",
"image-text-to-text",
"conversational",
"base_model:google/gemma-4-31B-it",
"base_model:quantized:google/gemma-4-31B-it",
"license:apache-2.0",
"4-bit",
"bitsandbytes",
"region:us"
] | image-text-to-text | 2026-04-02T19:01:28Z | # Read our How to [Run Gemma 4 Guide!](https://docs.unsloth.ai/models/gemma-4)
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em>See <a href="https://unsloth.ai/docs/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0 GGUFs</a> for our quantization benchmarks.</em>
</p>
<div style="display: flex; gap: 5px... | [
{
"start": 70,
"end": 77,
"text": "gemma-4",
"label": "benchmark name",
"score": 0.6428424715995789
},
{
"start": 715,
"end": 722,
"text": "gemma-4",
"label": "benchmark name",
"score": 0.6646020412445068
},
{
"start": 1034,
"end": 1041,
"text": "gemma-4",... |
unsloth/Qwen3-8B-GGUF | unsloth | 2025-06-08T08:09:00Z | 44,595 | 102 | transformers | [
"transformers",
"gguf",
"qwen3",
"text-generation",
"qwen",
"unsloth",
"en",
"arxiv:2309.00071",
"base_model:Qwen/Qwen3-8B",
"base_model:quantized:Qwen/Qwen3-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-04-28T14:24:34Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/qwen3-680edabfb790c8c34a242f95">our collection</a> for all versions of Qwen3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Qwen3 correct... | [] |
somosnlp-hackathon-2022/readability-es-3class-paragraphs | somosnlp-hackathon-2022 | 2023-04-13T08:45:37Z | 239 | 2 | transformers | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"text-classification",
"spanish",
"bertin",
"es",
"license:cc-by-4.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-04-03T20:08:20Z | # Readability ES Paragraphs for three classes
Model based on the Roberta architecture finetuned on [BERTIN](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) for readability assessment of Spanish texts.
## Description and performance
This version of the model was trained on a mix of datasets, using ... | [
{
"start": 438,
"end": 450,
"text": "Intermediate",
"label": "evaluation metric",
"score": 0.6087742447853088
},
{
"start": 454,
"end": 462,
"text": "Advanced",
"label": "evaluation metric",
"score": 0.6350700855255127
},
{
"start": 730,
"end": 752,
"text"... |
yaolily/TimeChat-Captioner-GRPO-7B | yaolily | 2026-02-11T06:40:22Z | 214 | 2 | transformers | [
"transformers",
"safetensors",
"qwen2_5_omni",
"text-to-audio",
"video-text-to-text",
"arxiv:2602.08711",
"base_model:Qwen/Qwen2.5-Omni-7B",
"base_model:finetune:Qwen/Qwen2.5-Omni-7B",
"endpoints_compatible",
"region:us"
] | video-text-to-text | 2026-02-09T03:01:17Z | # TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions
<div align="left">
[](https://arxiv.org/pdf/2602.08711)
[](https://huggingface.co/y... | [
{
"start": 619,
"end": 641,
"text": "OmniDenseCap-Benchmark",
"label": "benchmark name",
"score": 0.7271178364753723
},
{
"start": 1325,
"end": 1336,
"text": "OmniDCBench",
"label": "benchmark name",
"score": 0.6562597155570984
},
{
"start": 1378,
"end": 1400,... |
mradermacher/nsfwvision-qwen3-vl-8b-v1-safetensors-i1-GGUF | mradermacher | 2026-04-18T22:04:16Z | 134 | 5 | transformers | [
"transformers",
"gguf",
"llama-factory",
"en",
"base_model:GitMylo/nsfwvision-qwen3-vl-8b-v1-safetensors",
"base_model:quantized:GitMylo/nsfwvision-qwen3-vl-8b-v1-safetensors",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-01T13:46:00Z | ## 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_... | [] |
KikoCis/gemma-4-31b-otter-v3-GGUF | KikoCis | 2026-04-15T13:19:49Z | 691 | 1 | gguf | [
"gguf",
"3-bit",
"IQ3_XS",
"Q3_K_M",
"ablation-study",
"cli",
"conversational",
"gemma4",
"imatrix",
"layer-pruned",
"llama-cpp",
"package-management",
"quantized",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-12T09:11:46Z | # Otter v3 — Gemma 4 31B Surgically Pruned (58 layers)
> ## 🏆 Smaller & More Capable: [gemma-4-31b-it-IQ2_M-GGUF](https://huggingface.co/KikoCis/gemma-4-31b-it-IQ2_M-GGUF)
>
> If you want the smallest Gemma 4 31B variant that preserves (or beats) f16 quality, use our **custom IQ2_M at 10.17 GB** — it scores **F1 84.7... | [
{
"start": 248,
"end": 251,
"text": "f16",
"label": "evaluation metric",
"score": 0.771637499332428
},
{
"start": 312,
"end": 314,
"text": "F1",
"label": "benchmark name",
"score": 0.8579735159873962
},
{
"start": 330,
"end": 336,
"text": "BLEU-4",
"la... |
QuantFactory/bitnet_b1_58-3B-GGUF | QuantFactory | 2024-10-22T06:48:27Z | 1,853 | 8 | null | [
"gguf",
"arxiv:2402.17764",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-10-22T06:30:00Z | ---
license: mit
---
[](https://hf.co/QuantFactory)
# QuantFac... | [] |
OrionStarAI/Orion-14B-Chat | OrionStarAI | 2024-04-11T10:48:51Z | 11,399 | 68 | transformers | [
"transformers",
"pytorch",
"gguf",
"orion",
"text-generation",
"code",
"model",
"llm",
"conversational",
"custom_code",
"en",
"zh",
"ja",
"ko",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-01-16T06:03:30Z | <!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<div align="center">
<img src="./assets/imgs/orion_start.PNG" alt="logo" width="50%" />
</div>
<div align="center">
<h1>
Orion-14B
</h1>
</div>
<div align="center">
<div align="center">
<b>🌐English</b> | <a href="https://hugging... | [] |
mradermacher/L3-8B-Stheno-v3.2-MPOA-GGUF | mradermacher | 2026-03-13T08:57:21Z | 1,129 | 1 | transformers | [
"transformers",
"gguf",
"finetune",
"llama",
"mpoa",
"uncensored",
"en",
"dataset:Gryphe/Opus-WritingPrompts",
"dataset:Sao10K/Claude-3-Opus-Instruct-15K",
"dataset:Sao10K/Short-Storygen-v2",
"dataset:Sao10K/c2-Logs-Filtered",
"base_model:Naphula/L3-8B-Stheno-v3.2-MPOA",
"base_model:quantize... | null | 2026-03-13T06:39:06Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/MN-12B-Mag-Mell-R1-i1-GGUF | mradermacher | 2024-09-18T01:13:24Z | 3,055 | 14 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:inflatebot/MN-12B-Mag-Mell-R1",
"base_model:quantized:inflatebot/MN-12B-Mag-Mell-R1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2024-09-17T20:44:32Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/inflatebot/MN-12B-Mag-Mell-R1
<!-- provided-files -->
static quants are available at https://huggingfa... | [] |
strangervisionhf/deepseek-ocr-2-transformers-v4.57.1 | strangervisionhf | 2026-02-13T16:29:59Z | 107 | 2 | transformers | [
"transformers",
"safetensors",
"DeepseekOCR2",
"feature-extraction",
"ocr",
"image-text-to-text",
"custom_code",
"en",
"base_model:deepseek-ai/DeepSeek-OCR-2",
"base_model:finetune:deepseek-ai/DeepSeek-OCR-2",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2026-02-12T04:25:48Z | > [!IMPORTANT]
> This is a copy of the model weights from the [https://huggingface.co/deepseek-ai/DeepSeek-OCR-2](https://huggingface.co/deepseek-ai/DeepSeek-OCR-2) model. These weights cannot be used for other purposes. If you wish to do so, please visit the original model page.
Previously, inference with the model ... | [] |
google/magenta-realtime | google | 2025-08-29T19:07:50Z | 336 | 544 | magenta-realtime | [
"magenta-realtime",
"tf-keras",
"arxiv:2508.04651",
"arxiv:2107.03312",
"arxiv:2205.01917",
"arxiv:2208.12415",
"arxiv:2301.11325",
"license:cc-by-4.0",
"region:us"
] | null | 2025-06-17T13:09:51Z | # Model Card for Magenta RT
**Authors**: Google DeepMind
**Resources**:
- [Blog Post](https://g.co/magenta/rt)
- [Paper](https://arxiv.org/abs/2508.04651)
- [Colab Demo](https://colab.research.google.com/github/magenta/magenta-realtime/blob/main/notebooks/Magenta_RT_Demo.ipynb)
- [Repository](https://github.... | [] |
WWTCyberLab/gemma-4-31B-it-abliterated | WWTCyberLab | 2026-04-12T00:12:56Z | 3,714 | 2 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"abliteration",
"safety-research",
"alignment",
"lora",
"text-generation",
"conversational",
"base_model:google/gemma-4-31B-it",
"base_model:adapter:google/gemma-4-31B-it",
"license:gemma",
"endpoints_compatible",
"region:us"... | text-generation | 2026-04-06T07:37:36Z | # Gemma 4 31B-IT - Abliterated (Five-Surface Attack)
**Safety-alignment removed via five independent attack surfaces for security research.**
This model achieves **~0% deterministic refusal** (down from 100%) on the most ablation-resistant architecture in our 17+ model database, using a five-surface technique develop... | [
{
"start": 539,
"end": 548,
"text": "Elo Delta",
"label": "evaluation metric",
"score": 0.746010422706604
},
{
"start": 719,
"end": 726,
"text": "Rank 32",
"label": "benchmark name",
"score": 0.6153010129928589
}
] |
stabilityai/sdxl-turbo-ryzen-ai | stabilityai | 2024-12-11T10:23:34Z | 5,734 | 12 | null | [
"onnx",
"text-to-image",
"AMD",
"sdxl",
"sdxl-turbo",
"en",
"base_model:stabilityai/sdxl-turbo",
"base_model:quantized:stabilityai/sdxl-turbo",
"license:other",
"region:us"
] | text-to-image | 2024-12-06T15:37:37Z | ## **SDXL Turbo AMD RyzenAI**
This repository hosts the AMD [Ryzen™ AI](https://www.amd.com/en/products/processors/consumer/ryzen-ai.html) optimized version of SDXL-Turbo created in collaboration with [AMD](https://huggingface.co/amd). This ONNX-ported model is the world’s first Block FP16 model with the UNET and VAE ... | [] |
fabiochiu/t5-base-tag-generation | fabiochiu | 2023-08-03T07:55:12Z | 89,526 | 54 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | null | 2022-05-19T08:45:13Z | # Model description
This model is [t5-base](https://huggingface.co/t5-base) fine-tuned on the [190k Medium Articles](https://www.kaggle.com/datasets/fabiochiusano/medium-articles) dataset for predicting article tags using the article textual content as input. While usually formulated as a multi-label classification pr... | [] |
mradermacher/Dans-PersonalityEngine-V1.3.0-24b-absolute-heresy-i1-GGUF | mradermacher | 2026-02-01T15:10:57Z | 400 | 1 | transformers | [
"transformers",
"gguf",
"general-purpose",
"roleplay",
"storywriting",
"chemistry",
"biology",
"code",
"climate",
"axolotl",
"text-generation-inference",
"finetune",
"legal",
"medical",
"finance",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"ar",
"de",
"fr... | null | 2026-02-01T11:32:05Z | ## 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_... | [] |
ubergarm/Kimi-K2.5-GGUF | ubergarm | 2026-02-06T17:18:35Z | 172 | 10 | null | [
"gguf",
"mla",
"imatrix",
"conversational",
"ik_llama.cpp",
"text-generation",
"base_model:moonshotai/Kimi-K2.5",
"base_model:quantized:moonshotai/Kimi-K2.5",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-06T12:42:30Z | ## imatrix Quantization of moonshotai/Kimi-K2.5
The quants in this collection **REQUIRE** [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp/) fork to support the ik's latest SOTA quants and optimizations! Do **not** download these big files and expect them to run on mainline vanilla llama.cpp, ollama, LM Studio,... | [] |
QuantTrio/MiniMax-M2-AWQ | QuantTrio | 2025-12-03T05:59:47Z | 249,195 | 8 | transformers | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"vLLM",
"AWQ",
"conversational",
"arxiv:2504.07164",
"arxiv:2509.06501",
"arxiv:2509.13160",
"base_model:MiniMaxAI/MiniMax-M2",
"base_model:quantized:MiniMaxAI/MiniMax-M2",
"license:apache-2.0",
"text-generation-inference",
"en... | text-generation | 2025-10-28T02:11:42Z | # MiniMax-M2-AWQ
Base model: [MiniMaxAI/MiniMax-M2](https://huggingface.co/MiniMaxAI/MiniMax-M2)
### 【Dependencies / Installation】
As of **2025-10-28**, create a fresh Python environment and run:
```bash
pip install -U pip
pip install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
```
[vLLM Official Guid... | [] |
cjvt/GaMS-27B-Instruct-Nemotron | cjvt | 2026-01-18T22:55:26Z | 176 | 4 | null | [
"safetensors",
"gemma2",
"text-generation",
"conversational",
"sl",
"en",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v1",
"dataset:cjvt/GaMS-Nemotron-Chat",
"base_model:cjvt/GaMS-27B-Instruct",
"base_model:finetune:cjvt/GaMS-27B-Instruct",
"license:gemma",
"region:us"
] | text-generation | 2025-08-26T10:31:31Z | # Model Card for GaMS-27B-Instruct-Nemotron
**GaMS-27B-Instruct-Nemotron** is a variant of GaMS-27B-Instruct, further trained with supervised fine-tuning (SFT) on a curated subset of the `chat` part of [*nvidia/Nemotron-Post-Training-Dataset-v1*](https://huggingface.co/datasets/nvidia/Nemotron-Post-Training-Dataset-v1... | [] |
mradermacher/gemma-3-27b-it-abliterated-refined-vision-i1-GGUF | mradermacher | 2025-12-31T18:00:15Z | 1,195 | 2 | transformers | [
"transformers",
"gguf",
"gemma",
"gemma-3",
"text-generation",
"conversational",
"abliterated",
"en",
"base_model:Nabbers1999/gemma-3-27b-it-abliterated-refined-vision",
"base_model:quantized:Nabbers1999/gemma-3-27b-it-abliterated-refined-vision",
"license:gemma",
"endpoints_compatible",
"re... | text-generation | 2025-12-31T15:57:18Z | ## 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_... | [] |
litert-community/Qwen2.5-0.5B-Instruct | litert-community | 2025-09-22T19:01:18Z | 2,844 | 6 | litert-lm | [
"litert-lm",
"tflite",
"chat",
"text-generation",
"base_model:Qwen/Qwen2.5-0.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-0.5B-Instruct",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-04-30T16:16:19Z | # litert-community/Qwen2.5-0.5B-Instruct
This model provides a few variants of
[Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) that are ready for
deployment on Android using the
[LiteRT (fka TFLite) stack](https://ai.google.dev/edge/litert) and
[MediaPipe LLM Inference API](https://ai.g... | [] |
smolify/smolified-stock-predictor | smolify | 2026-03-28T22:35:40Z | 251 | 1 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"text-generation-inference",
"smolify",
"dslm",
"conversational",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-28T22:35:26Z | # 🤏 smolified-stock-predictor
> **Intelligence, Distilled.**
This is a **Domain Specific Language Model (DSLM)** generated by the **Smolify Foundry**.
It has been synthetically distilled from SOTA reasoning engines into a high-efficiency architecture, optimized for deployment on edge hardware (CPU/NPU) or low-VRAM ... | [] |
FINAL-Bench/Darwin-35B-A3B-Opus-Q8-GGUF | FINAL-Bench | 2026-04-11T03:10:21Z | 1,942 | 15 | gguf | [
"gguf",
"qwen3_5_moe",
"llama-cpp",
"quantized",
"Q8_0",
"merge",
"evolutionary-merge",
"darwin",
"darwin-v5",
"reasoning",
"qwen3.5",
"qwen",
"moe",
"mixture-of-experts",
"claude-opus",
"distillation",
"multilingual",
"gpqa",
"open-source",
"apache-2.0",
"layer-wise-merge",
... | text-generation | 2026-04-02T06:10:29Z | # Darwin-35B-A3B-Opus-Q8_0-GGUF
<p align="center">
<a href="https://huggingface.co/FINAL-Bench/Darwin-4B-Opus"><img src="https://img.shields.io/badge/🧬_Gen1-Darwin--4B--Opus-blue?style=for-the-badge" alt="Gen1"></a>
<a href="https://huggingface.co/FINAL-Bench/Darwin-4B-David"><img src="https://img.shields.io/badg... | [] |
byteshape/Qwen3-4B-Instruct-2507-GGUF | byteshape | 2025-12-12T01:12:04Z | 933 | 34 | transformers | [
"transformers",
"gguf",
"qwen",
"qwen3",
"byteshape",
"text-generation",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-12-09T05:04:55Z | # Qwen3-4B-Instruct-2507 GGUF (ShapeLearn Quantized)
This is a GGUF-quantized version of Qwen3-4B-Instruct-2507 produced with **ByteShape's ShapeLearn**, which learns the optimal datatype per tensor to maintain high quality even at very low bit lengths (the exclusive focus of this release).
To learn more about ShapeL... | [] |
mradermacher/RSCoVLM-7B-2512-i1-GGUF | mradermacher | 2026-01-10T10:35:17Z | 161 | 1 | transformers | [
"transformers",
"gguf",
"aerial",
"geoscience",
"remote sensing",
"en",
"dataset:Qingyun/remote-sensing-sft-data",
"base_model:Qingyun/RSCoVLM-7B-2512",
"base_model:quantized:Qingyun/RSCoVLM-7B-2512",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-10T09:48:48Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 615,
"end": 638,
"text": "RSCoVLM-7B-2512-i1-GGUF",
"label": "benchmark name",
"score": 0.6751304864883423
},
{
"start": 854,
"end": 874,
"text": "RSCoVLM-7B-2512-GGUF",
"label": "benchmark name",
"score": 0.6345626711845398
},
{
"start": 1376,
"end... |
pnnbao-ump/kani-tts-370m-vie | pnnbao-ump | 2025-11-15T14:33:19Z | 245 | 21 | null | [
"safetensors",
"lfm2",
"text-to-speech",
"vi",
"dataset:pnnbao-ump/VieNeu-TTS-140h",
"dataset:pnnbao-ump/VieNeu-TTS-140h-nanocodec",
"dataset:pnnbao-ump/VieNeu-TTS-500h-dialects",
"base_model:nineninesix/kani-tts-370m",
"base_model:finetune:nineninesix/kani-tts-370m",
"license:apache-2.0",
"regi... | text-to-speech | 2025-11-10T16:13:54Z | # 😻 Kani TTS Vie
[](https://github.com/pnnbao97/Kani-TTS-Vie)
[](https://huggingface.co/pnnbao-ump/kani-tts-370m-vie)
**Fast and Expressive Vietnamese Text-to-Speech Model**
![logo-... | [] |
apodex/Apodex-0.7-mini | apodex | 2026-04-23T05:35:02Z | 147 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"agent",
"open-source",
"Apodex",
"deep-research",
"conversational",
"en",
"base_model:Qwen/Qwen3-30B-A3B-Thinking-2507",
"base_model:finetune:Qwen/Qwen3-30B-A3B-Thinking-2507",
"license:apache-2.0",
"endpoints_compatible",
"... | text-generation | 2026-04-21T10:24:27Z | <!-- ![logo_V_self evolving]() -->
<div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6466e7be1343dce20e59191b/FfAN8_NWEkik0Odor2S1Z.png" width="40%" alt="Apodex" />
</div>
<div align="center">
[![Agents](https://img.shields.io/badge/Agents-5EDDD2?style=for-the-badge&logo=huggingf... | [] |
bytedance-research/USO | bytedance-research | 2025-09-01T11:49:15Z | 228 | 187 | diffusers | [
"diffusers",
"image-generation",
"subject-personalization",
"style-transfer",
"Diffusion-Transformer",
"text-to-image",
"en",
"arxiv:2508.18966",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:finetune:black-forest-labs/FLUX.1-dev",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-08-27T08:35:39Z | <p align="center">
<img src="assets/uso.webp" width="100"/>
<p>
<h3 align="center">
Unified Style and Subject-Driven Generation via Disentangled and Reward Learning
</h3>
Paper: [USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning](https://huggingface.co/papers/2508.18966)
<p... | [] |
robotics-diffusion-transformer/rdt-1b | robotics-diffusion-transformer | 2024-10-17T08:27:05Z | 216 | 101 | transformers | [
"transformers",
"pytorch",
"robotics",
"multimodal",
"pretraining",
"vla",
"diffusion",
"rdt",
"en",
"arxiv:2410.07864",
"license:mit",
"endpoints_compatible",
"region:us"
] | robotics | 2024-08-27T05:32:41Z | # RDT-1B
RDT-1B is a 1B-parameter imitation learning Diffusion Transformer pre-trained on 1M+ multi-robot episodes. Given language instruction and RGB images of up to three views, RDT can predict the next
64 robot actions. RDT is compatible with almost all modern mobile manipulators, from single-arm to... | [] |
mradermacher/TheDrummer-Skyfall-31B-v4.1-Heretic-Clear-i1-GGUF | mradermacher | 2026-02-13T19:00:58Z | 1,432 | 1 | transformers | [
"transformers",
"gguf",
"roleplay",
"heretic",
"weights",
"en",
"base_model:Silicone-Moss/TheDrummer-Skyfall-31B-v4.1-Heretic-Clear",
"base_model:quantized:Silicone-Moss/TheDrummer-Skyfall-31B-v4.1-Heretic-Clear",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"convers... | null | 2026-02-12T20:36:09Z | ## 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_... | [] |
bartowski/DeepSeek-Coder-V2-Instruct-GGUF | bartowski | 2024-06-23T16:29:28Z | 807 | 36 | null | [
"gguf",
"text-generation",
"base_model:deepseek-ai/DeepSeek-Coder-V2-Instruct",
"base_model:quantized:deepseek-ai/DeepSeek-Coder-V2-Instruct",
"license:other",
"region:us"
] | text-generation | 2024-06-20T19:43:47Z | ## Llamacpp imatrix Quantizations of DeepSeek-Coder-V2-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3166">b3166</a> for quantization.
Original model: https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instruct
A... | [] |
mradermacher/Marco-Mini-Global-Base-GGUF | mradermacher | 2026-04-05T04:30:33Z | 570 | 1 | transformers | [
"transformers",
"gguf",
"moe",
"mixture-of-experts",
"multilingual",
"upcycling",
"en",
"zh",
"ar",
"de",
"es",
"fr",
"ko",
"ja",
"pt",
"tr",
"id",
"it",
"nl",
"pl",
"ru",
"vi",
"th",
"he",
"uk",
"ms",
"bn",
"cs",
"ur",
"kk",
"el",
"ro",
"hu",
"ne",
... | null | 2026-04-03T19:13:49Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 519,
"end": 546,
"text": "Marco-Mini-Global-Base-GGUF",
"label": "benchmark name",
"score": 0.6222966313362122
}
] |
Anibaaal/Flux-Fusion-DS-merge-gguf-nf4-fp4-fp8-fp16 | Anibaaal | 2024-10-01T03:27:34Z | 1,346 | 48 | diffusers | [
"diffusers",
"gguf",
"flux",
"flux.1",
"flux.1-schnell",
"flux.1-dev",
"flux-merge",
"merge",
"text-to-image",
"en",
"license:other",
"region:us"
] | text-to-image | 2024-08-08T17:33:05Z | [Also on CivitAI](https://civitai.com/models/630820)
Merge of Schnell and Dev variants of the Flux.1 model, almost all blocks are set to different ratios in a smooth ramp from schnell to dev, not a perfect proportion of each model.
Recommended 4-8 steps.
----
# Important
**All in one versions** include VAE + CLIP ... | [] |
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