Datasets:
modelId stringlengths 5 122 | author stringlengths 2 42 | last_modified timestamp[us, tz=UTC]date 2020-12-11 21:30:10 2026-07-24 00:16:57 | downloads int64 0 259M | likes int64 0 13.1k | library_name stringlengths 1 89 ⌀ | tags listlengths 1 4.05k | pipeline_tag stringclasses 56
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-07-24 00:16:57 | card stringlengths 31 1.03M |
|---|---|---|---|---|---|---|---|---|---|
Vansh180/deepfake-audio-wav2vec2 | Vansh180 | 2026-03-17T00:21:10 | 40 | 0 | transformers | [
"transformers",
"safetensors",
"wav2vec2",
"audio-classification",
"deepfake-detection",
"spoof-detection",
"pytorch",
"en",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | audio-classification | 2026-03-17T00:05:42 | ---
language: en
license: mit
pipeline_tag: audio-classification
tags:
- audio-classification
- deepfake-detection
- spoof-detection
- wav2vec2
- pytorch
- transformers
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: Deepfake-Audio-Wav2Vec2
results:
- task:
type: audio-classification
... |
wutthiphatGi/qwen_finetune_16bit | wutthiphatGi | 2026-02-13T15:08:04 | 1 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"text-generation-inference",
"unsloth",
"conversational",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-13T14:01:01 | ---
base_model: unsloth/qwen3-14b-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- **Developed by:** wutthiphatGi
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen3-14b-unsloth-bnb-4bit
This qwen... |
VAGOsolutions/SauerkrautLM-ColQwen3-1.7b-Turbo-v0.1 | VAGOsolutions | 2025-12-14T19:28:48 | 170 | 3 | sauerkrautlm-colpali | [
"sauerkrautlm-colpali",
"safetensors",
"colqwen3",
"document-retrieval",
"vision-language-model",
"multi-vector",
"colpali",
"late-interaction",
"visual-retrieval",
"qwen3-vl",
"pruned",
"turbo",
"efficient",
"mteb",
"vidore",
"image-text-to-text",
"conversational",
"en",
"de",
... | image-text-to-text | 2025-12-11T18:33:46 | ---
language:
- en
- de
- fr
- es
- it
- pt
license: apache-2.0
library_name: sauerkrautlm-colpali
tags:
- document-retrieval
- vision-language-model
- multi-vector
- colpali
- late-interaction
- visual-retrieval
- qwen3-vl
- pruned
- turbo
- efficient
- mteb
- vidore
base_model: Qwe... |
mudler/rfdetr-cpp-seg-large | mudler | 2026-05-27T14:04:26 | 0 | 0 | rfdetr.cpp | [
"rfdetr.cpp",
"gguf",
"object-detection",
"rfdetr",
"ggml",
"cpp-inference",
"image-segmentation",
"instance-segmentation",
"license:apache-2.0",
"region:us"
] | image-segmentation | 2026-05-27T13:55:02 | ---
license: apache-2.0
library_name: rfdetr.cpp
tags:
- object-detection
- rfdetr
- gguf
- ggml
- cpp-inference
- image-segmentation
- instance-segmentation
pipeline_tag: image-segmentation
base_model: roboflow/rfdetr
---
# RF-DETR Seg-Large — GGUF for rfdetr.cpp
GGUF-format weights of [Roboflow RF-DET... |
bioinfoihb/FishNALM-8_prom_1k_notata | bioinfoihb | 2026-04-15T02:03:27 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"DNA",
"genomics",
"fish",
"sequence-classification",
"FishNALM",
"fine-tuned",
"promoter-1k-notata",
"en",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | 2026-04-15T02:01:24 | ---
language:
- en
license: cc-by-nc-sa-4.0
library_name: transformers
pipeline_tag: text-classification
base_model: xia-lab/FishNALM-8_pretrain
base_model_relation: finetune
tags:
- DNA
- genomics
- fish
- sequence-classification
- FishNALM
- fine-tuned
- promoter-1k-notata
---
# FishNALM-8_prom_1k_notata
`FishNALM-... |
esi777/blockassist-bc-camouflaged_trotting_eel_1755727261 | esi777 | 2025-08-20T22:01:46 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"camouflaged trotting eel",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-20T22:01:43 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- camouflaged trotting eel
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
maithicamlinh1983/blockassist-bc-rough_pensive_cougar_1762097925 | maithicamlinh1983 | 2025-11-02T16:31:07 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"rough pensive cougar",
"arxiv:2504.07091",
"region:us"
] | null | 2025-11-02T16:30:53 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- rough pensive cougar
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
james1600/omega_0s0fr | james1600 | 2026-01-06T04:24:22 | 0 | 0 | null | [
"onnx",
"safetensors",
"any-to-any",
"omega",
"omegalabs",
"bittensor",
"agi",
"license:mit",
"region:us"
] | any-to-any | 2026-01-06T04:23:35 | ---
license: mit
tags:
- any-to-any
- omega
- omegalabs
- bittensor
- agi
---
This is an Any-to-Any model checkpoint for the OMEGA Labs x Bittensor Any-to-Any subnet.
Check out the [git repo](https://github.com/omegalabsinc/omegalabs-anytoany-bittensor) and find OMEGA on X: [@omegalabsai](https://x.com/omegalabsai).
|
laion/exp-syh-r2egym-swesmith-mixed_glm_4_7_traces_locetash | laion | 2026-02-10T07:06:10 | 89 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-09T18:25:37 | ---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-8B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: exp-syh-r2egym-swesmith-mixed_glm_4_7_traces_locetash
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer ... |
divaspoudel/iol-div | divaspoudel | 2026-07-14T16:33:51 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-7B",
"base_model:finetune:Qwen/Qwen2.5-7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-07-14T16:13:25 | ---
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: Qwen/Qwen2.5-7B
tags:
- chat
library_name: transformers
---
# Qwen2.5-7B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
... |
mang3dd/blockassist-bc-tangled_slithering_alligator_1762534338 | mang3dd | 2025-11-07T17:12:06 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"tangled slithering alligator",
"arxiv:2504.07091",
"region:us"
] | null | 2025-11-07T17:12:03 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- tangled slithering alligator
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Pankayaraj/DA-SFT-MODEL-Llama-3.2-1B-Instruct-DATASET-STAR-41K-DA-Filtered-QwQ-32B | Pankayaraj | 2026-04-14T02:45:43 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"en",
"arxiv:2604.09665",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2026-03-31T19:13:45 | ---
language: en
license: mit
library_name: transformers
---
---
# Deliberative Alignment is Deep, but Uncertainty Remains: Inference time safety improvement in reasoning via attribution of unsafe behavior to base model
## Overview
This model is trained as of the work of "Deliberative Alignment is Deep, but Uncertai... |
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 | nvidia | 2026-03-15T04:27:40 | 96,091 | 119 | transformers | [
"transformers",
"safetensors",
"nvidia",
"pytorch",
"text-generation",
"en",
"es",
"fr",
"de",
"ja",
"it",
"pt",
"zh",
"ar",
"da",
"ko",
"nl",
"pl",
"ru",
"sv",
"th",
"dataset:nvidia/Nemotron-Pretraining-Code-v1",
"dataset:nvidia/Nemotron-CC-v2",
"dataset:nvidia/Nemotro... | text-generation | 2025-12-03T06:17:55 | ---
library_name: transformers
license: other
license_name: nvidia-nemotron-open-model-license
license_link: >-
https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-nemotron-open-model-license/
pipeline_tag: text-generation
language:
- en
- es
- fr
- de
- ja
- it
- pt
- zh
- ar
- da
... |
klmdr333/blockassist-bc-wild_loud_newt_1756412100 | klmdr333 | 2025-08-28T20:15:42 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"wild loud newt",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-28T20:15:39 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- wild loud newt
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755905135 | kapalbalap | 2025-08-22T23:26:19 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:26:14 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ofelixculpamea/OFCZZIT6464EP10K | ofelixculpamea | 2026-06-17T17:18:30 | 0 | 0 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:Tongyi-MAI/Z-Image-Turbo",
"base_model:adapter:Tongyi-MAI/Z-Image-Turbo",
"license:unknown",
"region:us"
] | text-to-image | 2026-06-17T17:16:53 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Screenshot 2026-05-28 044942.png
text: '-'
base_model: Tongyi-MAI/Z-Image-Turbo
instance_prompt: null
license: unknown
---
# OFCZZIT6464EP10K
<Gallery />
## Download model
[Download](/ofelixculpamea/OFCZZIT6... |
Johnblick187/DeepSeek-Coder-V2-Lite-Instruct | Johnblick187 | 2026-05-25T01:03:39 | 0 | 0 | null | [
"safetensors",
"deepseek_v2",
"custom_code",
"arxiv:2401.06066",
"license:other",
"region:us"
] | null | 2026-05-25T01:03:39 | ---
license: other
license_name: deepseek-license
license_link: LICENSE
---
<!-- 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" w... |
robertp408/wav2vec2-large-mms-1b-aft-mmc | robertp408 | 2025-10-10T16:59:26 | 1 | 0 | transformers | [
"transformers",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:audiofolder",
"base_model:facebook/mms-1b-all",
"base_model:finetune:facebook/mms-1b-all",
"license:cc-by-nc-4.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2025-10-07T21:03:02 | ---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
model-index:
- name: wav2vec2-large-mms-1b-aft-mmc
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset... |
maxqualia/pi05-simdata22-887b3a25-loop-pi05-simdata22-50ep-ace684b5 | maxqualia | 2026-05-15T16:35:16 | 31 | 0 | lerobot | [
"lerobot",
"safetensors",
"pi05",
"robotics",
"dataset:JonathanGiegold/loop-pi05-simdata22-50ep",
"license:apache-2.0",
"region:us"
] | robotics | 2026-05-15T16:34:08 | ---
datasets: JonathanGiegold/loop-pi05-simdata22-50ep
library_name: lerobot
license: apache-2.0
model_name: pi05
pipeline_tag: robotics
tags:
- pi05
- robotics
- lerobot
---
# Model Card for pi05
<!-- Provide a quick summary of what the model is/does. -->
**π₀.₅ (Pi05) Policy**
π₀.₅ is a Vision-Language-Action mo... |
ankita182005/smolified-tiny-text-to-sql | ankita182005 | 2026-03-29T09:29:38 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"text-generation-inference",
"smolify",
"dslm",
"conversational",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-29T09:29:28 | ---
license: apache-2.0
language:
- en
tags:
- text-generation-inference
- transformers
- smolify
- dslm
pipeline_tag: text-generation
inference:
parameters:
temperature: 1
top_p: 0.95
top_k: 64
---
# 🤏 smolified-tiny-text-to-sql
> **Intelligence, Distilled.**
This is a **Domain Specific Language Mode... |
deusmos/cbb26-jojat-oracle-head-green-asinh | deusmos | 2026-06-01T05:19:16 | 0 | 0 | cbb26 | [
"cbb26",
"coinbase",
"jojat",
"oracle-head",
"pytorch",
"license:other",
"region:us"
] | null | 2026-05-29T05:50:31 | ---
license: other
library_name: cbb26
tags:
- coinbase
- jojat
- oracle-head
- pytorch
---
# cbb26 JOJAT oracle teacher (full-curriculum epoch-15 encoder)
Teaching School export for `FUTURE_ACTION_HEAD_INIT` — encoder from live full-curriculum epoch **15**, not jojat_base.
- Loader normalization: `asinh_glo... |
mradermacher/FractalSoup-L3-8b-GGUF | mradermacher | 2025-09-06T07:19:28 | 2 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Entropicengine/FractalSoup-L3-8b",
"base_model:quantized:Entropicengine/FractalSoup-L3-8b",
"license:llama3.1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-06T06:26:14 | ---
base_model: Entropicengine/FractalSoup-L3-8b
language:
- en
library_name: transformers
license: llama3.1
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- mergekit
- merge
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### voc... |
donoway/ARC-Challenge_Llama-3.2-1B-rx87l0zg | donoway | 2025-08-19T00:24:44 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"base_model:meta-llama/Llama-3.2-1B",
"base_model:finetune:meta-llama/Llama-3.2-1B",
"license:llama3.2",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-19T00:13:31 | ---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ARC-Challenge_Llama-3.2-1B-rx87l0zg
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to... |
WindstormLabs/origin-Helsinki-NLP-opus-mt-loz-de | WindstormLabs | 2026-05-23T18:06:16 | 0 | 0 | null | [
"pytorch",
"tf",
"marian",
"translation",
"license:apache-2.0",
"region:us"
] | translation | 2026-05-23T18:06:13 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-loz-de
* source languages: loz
* target languages: de
* OPUS readme: [loz-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
jordanpainter/diallm-llama-grpo-brit | jordanpainter | 2026-04-18T08:33:07 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"grpo",
"trl",
"arxiv:2402.03300",
"base_model:jordanpainter/diallm-llama-sft-brit",
"base_model:finetune:jordanpainter/diallm-llama-sft-brit",
"text-generation-inference",
"endpoints_compatible",
"region:us... | text-generation | 2026-04-18T08:29:50 | ---
base_model: jordanpainter/diallm-llama-sft-brit
library_name: transformers
model_name: grpo_llama_brit
tags:
- generated_from_trainer
- grpo
- trl
licence: license
---
# Model Card for grpo_llama_brit
This model is a fine-tuned version of [jordanpainter/diallm-llama-sft-brit](https://huggingface.co/jordanpainter/... |
Quazim0t0/neural-storage | Quazim0t0 | 2026-07-11T01:01:59 | 0 | 2 | pytorch | [
"pytorch",
"verified-units",
"reed-solomon",
"erasure-coding",
"deduplication",
"storage",
"license:mit",
"region:us"
] | null | 2026-07-11T00:45:53 | ---
license: mit
library_name: pytorch
tags:
- verified-units
- reed-solomon
- erasure-coding
- deduplication
- storage
---
# neural-storage — self-healing vault with a verified GF(256) core
**Repositories:** [GitHub](https://github.com/quzi93/neural-storage) · [🤗 HuggingFace](https://huggingface.co/Quazim... |
hongyao12138/t2i-adapter-sketch-sdxl-1.0 | hongyao12138 | 2026-06-13T00:19:42 | 6 | 0 | diffusers | [
"diffusers",
"safetensors",
"art",
"t2i-adapter",
"image-to-image",
"stable-diffusion-xl-diffusers",
"stable-diffusion-xl",
"arxiv:2302.08453",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:finetune:stabilityai/stable-diffusion-xl-base-1.0",
"license:apache-2.0",
"region:u... | image-to-image | 2026-06-13T00:19:41 | ---
license: apache-2.0
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- art
- t2i-adapter
- image-to-image
- stable-diffusion-xl-diffusers
- stable-diffusion-xl
---
# T2I-Adapter-SDXL - Sketch
T2I Adapter is a network providing additional conditioning to stable diffusion. Each t2i checkpoint takes a diff... |
Masamsa/3d-print-failure-mobilevit-xxs | Masamsa | 2026-04-28T13:50:06 | 24 | 0 | null | [
"onnx",
"safetensors",
"mobilevit",
"image-classification",
"3d-printing",
"failure-detection",
"en",
"dataset:Masamsa/3d-print-failure-detection",
"base_model:apple/mobilevit-xx-small",
"base_model:quantized:apple/mobilevit-xx-small",
"license:apache-2.0",
"region:us"
] | image-classification | 2026-04-27T13:38:50 | ---
language: en
license: apache-2.0
tags:
- image-classification
- mobilevit
- 3d-printing
- failure-detection
- onnx
datasets:
- Masamsa/3d-print-failure-detection
base_model: apple/mobilevit-xx-small
---
# MobileViT-XXS — 3D Print Failure Detector
Binary image classifier: **normal** vs **failure** (spa... |
cumhuronat/gemma-4-12b-cetvel-merged | cumhuronat | 2026-07-20T01:31:37 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gemma4_unified",
"image-text-to-text",
"gemma",
"gemma-4",
"turkish",
"cetvel",
"lora",
"axolotl",
"text-generation",
"tr",
"en",
"dataset:cumhuronat/cetvel-training-data",
"base_model:google/gemma-4-12B",
"base_model:adapter:google/gemma-4-12B",
"lice... | text-generation | 2026-07-19T16:50:10 | ---
language:
- tr
- en
license: gemma
base_model: google/gemma-4-12B
library_name: transformers
pipeline_tag: text-generation
datasets:
- cumhuronat/cetvel-training-data
tags:
- gemma
- gemma-4
- turkish
- cetvel
- lora
- axolotl
---
# cumhuronat/gemma-4-12b-cetvel-merged
Bu repo, `google/gemma-4-12B` modelinin Türk... |
Danny-Dasilva/Ternary-Bonsai-27B-antidoom-DSpark | Danny-Dasilva | 2026-07-15T14:48:31 | 0 | 1 | null | [
"gguf",
"bonsai",
"ternary",
"qwen3_5",
"antidoom",
"ftpo",
"anti-repetition",
"2-bit",
"q2_0",
"speculative-decoding",
"dspark",
"llama.cpp",
"blackwell",
"text-generation",
"en",
"base_model:prism-ml/Ternary-Bonsai-27B-gguf",
"base_model:quantized:prism-ml/Ternary-Bonsai-27B-gguf",... | text-generation | 2026-07-15T14:40:55 | ---
base_model: prism-ml/Ternary-Bonsai-27B-gguf
license: apache-2.0
pipeline_tag: text-generation
language:
- en
tags:
- bonsai
- ternary
- qwen3_5
- antidoom
- ftpo
- anti-repetition
- 2-bit
- q2_0
- gguf
- speculative-decoding
- dspark
- llama.cpp
- blackwell
---
# Ternary-Bonsai-27B-antidoom-DSpark
A **[DSpark](h... |
longtermrisk/Qwen2.5-7B-Instruct-ftjob-44e9baa98933-7bauto20260423a | longtermrisk | 2026-04-23T06:50:21 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"qwen2",
"trl",
"en",
"base_model:unsloth/Qwen2.5-7B-Instruct",
"base_model:finetune:unsloth/Qwen2.5-7B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-04-23T06:50:04 | ---
base_model: unsloth/Qwen2.5-7B-Instruct
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** longtermrisk
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Qwen2.5-7B-Instruct
This qwen2 model was traine... |
Eason1995/pi05_0319-1-merged | Eason1995 | 2026-03-21T11:43:38 | 45 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"pi05",
"dataset:robotech/0319-1-merged",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-21T11:25:54 | ---
datasets: robotech/0319-1-merged
library_name: lerobot
license: apache-2.0
model_name: pi05
pipeline_tag: robotics
tags:
- robotics
- lerobot
- pi05
---
# Model Card for pi05
<!-- Provide a quick summary of what the model is/does. -->
**π₀.₅ (Pi05) Policy**
π₀.₅ is a Vision-Language-Action model with open-worl... |
rbelanec/train_boolq_42_1767887027 | rbelanec | 2026-01-08T17:59:22 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct",
"llama-factory",
"transformers",
"text-generation",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"region:us"
] | text-generation | 2026-01-08T15:44:43 | ---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
- llama-factory
- transformers
pipeline_tag: text-generation
model-index:
- name: train_boolq_42_1767887027
results: []
---
<!-- This model card has been generated aut... |
InternRobotics/InternVLA-A1-3B | InternRobotics | 2026-02-27T16:30:17 | 107 | 39 | null | [
"safetensors",
"robotics",
"vision-language-action-model",
"dataset:InternRobotics/InternData-A1",
"arxiv:2601.02456",
"base_model:Qwen/Qwen3-VL-2B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-2B-Instruct",
"license:cc-by-nc-sa-4.0",
"region:us"
] | robotics | 2026-01-05T07:36:22 | ---
license: cc-by-nc-sa-4.0
base_model:
- Qwen/Qwen3-VL-2B-Instruct
tags:
- robotics
- vision-language-action-model
datasets:
- InternRobotics/InternData-A1
---
# InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation
<div style="display: flex; justify-content: center; align-items: cent... |
LorenaYannnnn/Qwen3-0.6B-g_general_reward_x0-seed_0 | LorenaYannnnn | 2026-04-30T12:04:11 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-29T21:14:34 | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. Thi... |
bunnguyenvan74/blockassist-bc-fishy_domestic_fly_1762887941 | bunnguyenvan74 | 2025-11-11T19:18:37 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"fishy domestic fly",
"arxiv:2504.07091",
"region:us"
] | null | 2025-11-11T19:18:34 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- fishy domestic fly
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Dataset Card for Hugging Face Hub Model Cards
This datasets consists of model cards for models hosted on the Hugging Face Hub. The model cards are created by the community and provide information about the model, its performance, its intended uses, and more. This dataset is updated on a daily basis and includes publicly available models on the Hugging Face Hub.
This dataset is made available to help support users wanting to work with a large number of Model Cards from the Hub. We hope that this dataset will help support research in the area of Model Cards and their use but the format of this dataset may not be useful for all use cases. If there are other features that you would like to see included in this dataset, please open a new discussion.
Dataset Details
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There are a number of potential uses for this dataset including:
- text mining to find common themes in model cards
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[More Information Needed]
Dataset Structure
This dataset has a single split.
Dataset Creation
Curation Rationale
The dataset was created to assist people in working with model cards. In particular it was created to support research in the area of model cards and their use. It is possible to use the Hugging Face Hub API or client library to download model cards and this option may be preferable if you have a very specific use case or require a different format.
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The source data is README.md files for models hosted on the Hugging Face Hub. We do not include any other supplementary files that may be included in the model card directory.
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The data is downloaded using a CRON job on a daily basis.
Who are the source data producers?
The source data producers are the creators of the model cards on the Hugging Face Hub. This includes a broad variety of people from the community ranging from large companies to individual researchers. We do not gather any information about who created the model card in this repository although this information can be gathered from the Hugging Face Hub API.
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There are no additional annotations in this dataset beyond the model card content.
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N/A
Who are the annotators?
N/A
Personal and Sensitive Information
We make no effort to anonymize the data. Whilst we don't expect the majority of model cards to contain personal or sensitive information, it is possible that some model cards may contain this information. Model cards may also link to websites or email addresses.
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Model cards are created by the community and we do not have any control over the content of the model cards. We do not review the content of the model cards and we do not make any claims about the accuracy of the information in the model cards. Some model cards will themselves discuss bias and sometimes this is done by providing examples of bias in either the training data or the responses provided by the model. As a result this dataset may contain examples of bias.
Whilst we do not directly download any images linked to in the model cards, some model cards may include images. Some of these images may not be suitable for all audiences.
Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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No formal citation is required for this dataset but if you use this dataset in your work, please include a link to this dataset page.
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