datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
audiofolder_two_configs_in_metadataaudiofolder_no_configs_in_metadataaudiofolder_two_configs_in_metadataaudiofolder_two_configs_in_metadata_with_defaultritual-agent-configssd_configsconfigs
zea Configuration Files
This repository contains configuration files for zea, a toolbox for cognitive ultrasound imaging.
Synchronization
Configuration files are automatically synchronized from the main zea repository:
Main branch: Latest config files from the main branch
Release tags: Config files compatible with specific zea releases (e.g., v0.1.0, v0.1.1)
Usage
import zea
# Load a specific config file
config =… See the full description on the dataset page: https://huggingface.co/datasets/zeahub/configs.openrecipe-configs-and-ablationssmollm3-configs
SmolLM3 Training Configs
[IMPORTANT NOTE]: for the latest configs go to this repo: https://github.com/huggingface/smollm/tree/main/text/pretraining/smollm3
Here you can find the training configs for SmoLLM3-3B-Base using nanotron with exact training details and data mixtures.
The model was trained on 11.2T tokens in 3 stages on 4k context:
stage 1 config
stage 2 config
stage 3 config
And then we trained on an additional 2 stages to extend the contetx length to 64k:
stage 4… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceTB/smollm3-configs.audiofolder_two_configs_in_metadatasd-configs-4dreamlake-configs
DreamLake viz — overlay configs
.dreamrc files for datasets we do not own. Each one names its dataset in
its own storage: block, so the config can live apart from read-only data and
still resolve — the same arrangement an app uses when it layers an editable
overlay over an imported source.
folder
dataset it visualizes
pusht/
lerobot/pusht (LeRobot v3.0)
aloha-coffee/, aloha-coffee-alt/
lerobot/aloha_static_coffee — same data, two layouts
libero-depth/… See the full description on the dataset page: https://huggingface.co/datasets/live9080/dreamlake-configs.audiofolder_no_configs_in_metadatatraining-guide-nanotron-configsThis repository contains the nanotron training configs for the ablations in The Smol Training Guide.
ConfigStreamvpn-configsrocm-vlm-ocr-awq-configs
ROCm VLM/OCR AWQ+BF16 Serving Config Bundle
A4 @ 200 DPI coverage verified (max_model_len >= 8192, visual tokens ~3800 + text ~4096).
Model Profiles
Profile
Model
Quant
max_model_len
Concurrent VRAM
vllm-qwen3-vl-awq.json
cyankiwi/Qwen3-VL-8B-Instruct-AWQ-4bit
AWQ W4A16
8192
0.30
vllm-bizonai-bf16.json
ONTHEIT/BizOnAI-OCR
BF16
8192
0.26
sglang-qwen3-vl-awq.json
cyankiwi/Qwen3-VL-8B-Instruct-AWQ-4bit
AWQ W4A16
8192
0.30
A4 @ 200 DPI Token… See the full description on the dataset page: https://huggingface.co/datasets/yakdoli/rocm-vlm-ocr-awq-configs.megatron-configs
Training model configurations
This directory records model architecture configurations used by training examples or imported from reference
experiments. These files preserve model structure and provenance; they do not automatically configure or launch a
Megatron Bridge training job.
Configurations
The H100 entries below are restricted to runs pinned in the
RSI-Index/ale-rsi-pre-training workspace.
Nominal Compute
Model
Parameters
Actual Tokens
Training GPUs… See the full description on the dataset page: https://huggingface.co/datasets/ZhuofengLi/megatron-configs.vllm-configs
EXD vLLM Config Profiles
Production configuration profiles for the config-driven serve harness.
Profiles
Config
Model
Notes
qwen2.5-7b
Qwen 2.5 7B Instruct
Baseline 7B
qwen3.6-27b
Qwen 3.6 27B
Mid-size
qwen3.6-35b-a3b
Qwen 3.6 35B A3B
MoE baseline
qwen3.6-35b-a3b-baseline
Qwen 3.6 35B A3B
Baseline sweep
qwen3.6-35b-a3b-mtp0
Qwen 3.6 35B A3B
MTP depth 0
qwen3.6-35b-a3b-mtp3
Qwen 3.6 35B A3B
MTP depth 3
qwen3.6-35b-a3b-throughput
Qwen 3.6 35B… See the full description on the dataset page: https://huggingface.co/datasets/EXDai/vllm-configs.mergekit-configs
MergeKit-configs: access all Hub architectures and automate your model merging process
This dataset facilitates the search for compatible architectures for model merging with MergeKit, streamlining the automation of high-performance merge searches. It provides a snapshot of the Hub’s configuration state, eliminating the need to manually open configuration files.
import polars as pl
# Login using e.g. `huggingface-cli login` to access this dataset
df =… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/mergekit-configs.flores-all-configsaudiofolder_two_configs_in_metadata_with_defaultMTUOC-configsvllm-configs
EXD vLLM Config Profiles
Production configuration profiles for the config-driven serve harness at projects/serve/.
Usage
On atom (GPU machine):
cd ~/EXD
./scripts/up.sh <config-name>
Profiles
Config
Model
Notes
qwen2.5-7b
Qwen 2.5 7B Instruct
Baseline 7B
qwen3.6-27b
Qwen 3.6 27B
Mid-size
qwen3.6-35b-a3b
Qwen 3.6 35B A3B
MoE baseline
qwen3.6-35b-a3b-baseline
Qwen 3.6 35B A3B
Baseline sweep
qwen3.6-35b-a3b-mtp0
Qwen 3.6 35B A3B
MTP… See the full description on the dataset page: https://huggingface.co/datasets/EXD-AI/vllm-configs.adaption-resource-assignment-configs
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-resource_assignment_configs
This dataset contains pairs of natural language resource allocation problems and their corresponding JSON configuration outputs. Each sample defines constraints such as categorical matching, spatial proximity, capacity limits, or priority scoring based on provided data schemas. The configurations specify goals with weights, award types, and logic… See the full description on the dataset page: https://huggingface.co/datasets/intellign/adaption-resource-assignment-configs.marin-qwen36-nemosci-terminus2-b200-parity-configscomfyui-parte-1-configs
ComfyUI Backup - parte-1-configs
Configurações, nós customizados e workflows
📊 Estatísticas
Arquivos: 1,993
Tamanho: 0.03GB
Data: 2025-06-22 21:39:30
🔗 Outras Partes
Este é o backup dividido em partes. Veja os outros repositórios:
Parte 1 - Configs
Parte 2 - Models Small
Parte 3 - Models Large
Parte 4 - Outputs
Parte 5 - Outros
💡 Restauração
Baixe todas as partes
Combine em uma pasta
Restaure para seu ComfyUI
ros2-benchmark-configsconfigsai2345configs