modelId large_stringlengths 5 122 | author large_stringlengths 2 42 | last_modified large_stringdate 2020-07-06 16:36:02 2026-10-11 00:17:15 | downloads int64 0 249M | likes int64 0 14.4k | library_name large_stringlengths 1 89 ⌀ | tags large listlengths 1 4.05k | pipeline_tag large_stringclasses 56
values | createdAt large_stringdate 2022-03-02 23:29:04 2026-10-11 00:16:44 | card large_stringlengths 31 1.03M |
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dusersad12/MyAwesomeModel-TestRepo | dusersad12 | 2026-10-10T02:49:58Z | 116 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2026-10-10T02:49:53Z | ---
license: mit
library_name: transformers
---
# MyAwesomeModel
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="figures/fig1.png" width="60%" alt="MyAwesomeModel" />
</div>
<hr>
<div align="center" style... |
ewpratama/contrastive-tutorial | ewpratama | 2026-10-09T05:18:34Z | 0 | 0 | null | [
"safetensors",
"vit",
"pytorch",
"contrastive",
"license:mit",
"region:us"
] | null | 2026-10-09T05:18:28Z | ---
license: mit
tags:
- pytorch
- vit
- contrastive
---
# ViT for Contrastive
## Overview
This is an experimental **ViT** codebase for **Contrastive**. It keeps the **small** setup intentionally manageable so architecture changes can be inspected before a full training run.
## Repository status
- ... |
davidwdw/fa-mtl20261004-pre-pre-m01-hc-s1-500-ce2099717b9a | davidwdw | 2026-10-08T19:21:08Z | 0 | 0 | null | [
"region:us"
] | null | 2026-10-08T19:20:49Z | # mtl20261004-pre-pre-m01-hc-s1-500
Versioned fleet archive. Canonical recipe: reports/2026-10-04_mtl_submission
Tier: existing centre completed public20 PRE result; original JSON video trajectories actions if produced logs protocol source manifests and summary; no rerun
Use the exact recorded revision and verify SH... |
vanshnawander/structured-llada-8b-instruct-sparsegpt-30-9fc515e82f313fab | vanshnawander | 2026-10-09T04:25:20Z | 0 | 0 | null | [
"safetensors",
"llada",
"pruning",
"diffusion",
"sparsegpt",
"custom_code",
"base_model:GSAI-ML/LLaDA-8B-Instruct",
"base_model:finetune:GSAI-ML/LLaDA-8B-Instruct",
"region:us"
] | null | 2026-10-09T04:24:25Z | ---
base_model: GSAI-ML/LLaDA-8B-Instruct
tags:
- pruning
- diffusion
- sparsegpt
---
# llada-8b-instruct-sparsegpt-30
Source: GSAI-ML/LLaDA-8B-Instruct at 08b83a6feb34df1a6011b80c3c00c7563e963b07.
Structured pruning target: 30%; pattern: 3:10.
Measured values are in pruning_statistics.json. The weights and tokenizer... |
photjama/nlp-lab5-8-gpt2 | photjama | 2026-10-09T03:27:00Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-10-09T03:26:29Z | ---
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... |
ahmed-amedo-1/Qwen3.8-Flash-Next | ahmed-amedo-1 | 2026-10-08T17:33:33Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen4_exp",
"image-text-to-text",
"conversational",
"license:other",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-10-08T17:33:33Z | ---
library_name: transformers
license: other
license_name: qwen-community-1.0
license_link: LICENSE
pipeline_tag: image-text-to-text
---
# Qwen3.8-Flash-Next
> [!Note]
> This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format.
>
> These artif... |
FluidInference/granite-embedding-30m-sparse-coreml | FluidInference | 2026-10-09T02:08:52Z | 0 | 1 | coremltools | [
"coremltools",
"coreml",
"sparse",
"splade",
"sparse-encoder",
"information-retrieval",
"evoke",
"apple-silicon",
"neural-engine",
"feature-extraction",
"base_model:ibm-granite/granite-embedding-30m-sparse",
"base_model:quantized:ibm-granite/granite-embedding-30m-sparse",
"license:apache-2.0... | feature-extraction | 2026-10-09T01:58:56Z | ---
license: apache-2.0
library_name: coremltools
pipeline_tag: feature-extraction
base_model: ibm-granite/granite-embedding-30m-sparse
tags:
- coreml
- sparse
- splade
- sparse-encoder
- information-retrieval
- evoke
- apple-silicon
- neural-engine
---
# Granite Embedding 30M Sparse for Core ML
Core ML conversion of... |
trsh2310/bge-small-en-v1.5-conll2003-ner | trsh2310 | 2026-10-08T19:00:25Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"token-classification",
"generated_from_trainer",
"base_model:BAAI/bge-small-en-v1.5",
"base_model:finetune:BAAI/bge-small-en-v1.5",
"license:mit",
"endpoints_compatible",
"region:us"
] | token-classification | 2026-10-08T15:27:43Z | ---
library_name: transformers
license: mit
base_model: BAAI/bge-small-en-v1.5
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bge-small-en-v1.5-conll2003-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Train... |
dddddsds31341/pi05-fold_towel_100-15k | dddddsds31341 | 2026-10-09T07:40:20Z | 0 | 0 | openpi | [
"openpi",
"robotics",
"vision-language-action",
"pi0.5",
"jax",
"orbax",
"fold_towel_100",
"license:other",
"region:us"
] | robotics | 2026-10-09T05:14:34Z | ---
library_name: openpi
pipeline_tag: robotics
tags:
- robotics
- vision-language-action
- pi0.5
- jax
- orbax
- fold_towel_100
license: other
---
# pi0.5 fold_towel_100 - 15k
Eval-ready checkpoint trained on fold_towel_100.
- Training step: 15,000
- Dataset: fold_towel_100 (100 episodes)
- Batch size: 32
- Base mo... |
dougalldeepmind/2026-10-08-qwen36-0-da-qwen-15 | dougalldeepmind | 2026-10-08T15:12:17Z | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-10-08T15:09:31Z | # LoRA SFT adapter — recipe `sft` on mixture `da-qwen-15` (qwen36, seed 0)
| field | value |
| --- | --- |
| `experiment` | LoRA SFT adapter — recipe `sft` on mixture `da-qwen-15` (qwen36, seed 0) |
| `date_generated` | 20261008 |
| `constitution` | inherited from the training data (dougalldeepmind/2026-10-08-da-qwen-... |
puneankit/tiny-transformer-demo | puneankit | 2026-10-09T05:48:42Z | 0 | 0 | null | [
"safetensors",
"tiny_transformer",
"pytorch",
"tiny-transformer",
"matching",
"license:apache-2.0",
"region:us"
] | null | 2026-10-09T05:48:37Z | ---
license: apache-2.0
tags:
- pytorch
- tiny-transformer
- matching
---
# Tiny Transformer for Matching
## Overview
Working implementation of **Tiny Transformer** for **Matching** using a **large** configuration. The repository focuses on transparent code and repeatable smoke tests; benchmark claims ar... |
mradermacher/EventPlanner-v1-2B-GGUF | mradermacher | 2026-10-09T00:35:48Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"fine-tuned",
"lora",
"sft",
"auto-sft",
"en",
"base_model:theprint/EventPlanner-v1-2B",
"base_model:adapter:theprint/EventPlanner-v1-2B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-10-09T00:12:50Z | ---
base_model: theprint/EventPlanner-v1-2B
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- fine-tuned
- lora
- sft
- auto-sft
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_ty... |
huveewomg/d1-3B-ONNX | huveewomg | 2026-10-09T08:14:27Z | 0 | 0 | onnx | [
"onnx",
"decision-model",
"amd-npu",
"xdna2",
"ryzen-ai",
"single-pass",
"lfm2",
"image-text-to-text",
"base_model:LiquidAI/d1-3B",
"base_model:quantized:LiquidAI/d1-3B",
"license:other",
"region:us"
] | image-text-to-text | 2026-10-08T08:21:56Z | ---
license: other
license_name: lfm-1.0
base_model: LiquidAI/d1-3B
library_name: onnx
pipeline_tag: image-text-to-text
tags:
- onnx
- decision-model
- amd-npu
- xdna2
- ryzen-ai
- single-pass
- lfm2
---
# d1-3B — ONNX single-pass port (NPU-friendly)
**d1-3B image decisions with AMD XDNA2-accelerated vision — to our ... |
MatteoDoni15/Taxy-v4-RL | MatteoDoni15 | 2026-10-08T13:51:38Z | 0 | 0 | null | [
"Taxi-v4",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | reinforcement-learning | 2026-10-08T13:51:35Z | ---
tags:
- Taxi-v4
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxy-v4-RL
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v4
type: Taxi-v4
metrics:
- type: mean_reward
value: 7.56 +/- 2.7... |
stevhub/lea_face | stevhub | 2026-10-08T18:46:52Z | 0 | 0 | null | [
"onnx",
"region:us"
] | null | 2026-10-08T18:37:44Z | # lea_final
A new Flutter project.
## Getting Started
This project is a starting point for a Flutter application.
A few resources to get you started if this is your first Flutter project:
- [Learn Flutter](https://docs.flutter.dev/get-started/learn-flutter)
- [Write your first Flutter app](https://docs.flutter.dev... |
cami-lasn/self-supervised-survey-2024 | cami-lasn | 2026-10-08T14:21:22Z | 0 | 0 | null | [
"safetensors",
"transformer",
"research-notes",
"self-supervised",
"license:mit",
"region:us"
] | null | 2026-10-08T14:21:16Z | ---
license: mit
tags:
- research-notes
- self-supervised
---
# Notes on Self Supervised
## Repository summary
This is an exploratory note for **Self Supervised**. It records the intended comparison, likely confounders, and reproducibility requirements before any benchmark result is reported.
## What i... |
agastyasridharan/olens-tulu3-70b | agastyasridharan | 2026-10-09T05:49:31Z | 0 | 0 | null | [
"interpretability",
"oracle-lens",
"activation-verbalizer",
"lora",
"base_model:allenai/Llama-3.1-Tulu-3-70B",
"base_model:adapter:allenai/Llama-3.1-Tulu-3-70B",
"license:llama3.1",
"region:us"
] | null | 2026-10-09T05:42:41Z | ---
license: llama3.1
base_model: allenai/Llama-3.1-Tulu-3-70B
tags:
- interpretability
- oracle-lens
- activation-verbalizer
- lora
---
# Oracle Lens (O-lens) for Llama-3.1-Tulu-3-70B
This repo holds an activation verbalizer for `allenai/Llama-3.1-Tulu-3-70B`. It reads one residual-stream vector at one of 12 layers ... |
daikikimura/random-robotics-vision-language | daikikimura | 2026-10-08T19:19:26Z | 0 | 0 | null | [
"safetensors",
"transformer",
"research-notes",
"robotics-vision-language",
"license:mit",
"region:us"
] | null | 2026-10-08T19:19:21Z | ---
license: mit
tags:
- research-notes
- robotics-vision-language
---
# Notes on Robotics Vision Language
## Repository summary
This is an exploratory note for **Robotics Vision Language**. It records the intended comparison, likely confounders, and reproducibility requirements before any benchmark resul... |
slendermantvb/jarvis-v2.5.0 | slendermantvb | 2026-10-08T21:43:38Z | 0 | 0 | null | [
"safetensors",
"pytorch",
"custom-model",
"spanish",
"mixture-of-experts",
"symbolic-ai",
"lisp",
"text-generation",
"es",
"en",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-10-08T21:43:35Z | ---
language:
- es
- en
pipeline_tag: text-generation
license: apache-2.0
tags:
- pytorch
- custom-model
- spanish
- mixture-of-experts
- symbolic-ai
- lisp
---
# Jarvis v2.5.0
Jarvis is a small experimental local language model developed by **slendermantvb**.
This release keeps the same stable neural core while imp... |
shaoboh/embeddinggemma-2 | shaoboh | 2026-10-08T12:55:33Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"embedding_gemma2",
"feature-extraction",
"embedding",
"sentence-transformers",
"multimodal-embedding",
"multimodal",
"vision",
"audio",
"video",
"image-feature-extraction",
"audio-feature-extraction",
"video-feature-extraction",
"sentence-similarity",
"m... | feature-extraction | 2026-10-08T12:55:33Z | ---
license: apache-2.0
pipeline_tag: feature-extraction
tags:
- embedding
- feature-extraction
- sentence-transformers
- multimodal-embedding
- multimodal
- vision
- audio
- video
- image-feature-extraction
- audio-feature-extraction
- video-feature-extraction
- sentence-similarity
language:
- multilingual
library_nam... |
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