Hub Card Data
Collection
2 items • Updated • 4
Datasets:
modelId stringlengths 5 122 | author stringlengths 2 42 | last_modified timestamp[us, tz=UTC]date 2020-12-11 21:30:10 2026-07-26 00:00:52 | 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 2026-07-25 21:09:23 | card stringlengths 31 1.03M |
|---|---|---|---|---|---|---|---|---|---|
YusufBayram-Personal/shufflenet_CIFAR-10_norm_clipping_round_70 | YusufBayram-Personal | 2025-12-15T11:16:13 | 0 | 0 | null | [
"pytorch",
"federated-learning",
"shufflenet",
"CIFAR-10",
"norm_clipping",
"dataset:CIFAR-10",
"region:us"
] | null | 2025-12-15T11:16:08 | ---
tags:
- federated-learning
- shufflenet
- CIFAR-10
- norm_clipping
datasets:
- CIFAR-10
---
# shufflenet - Federated Learning Round 70
## Model Details
- **Architecture**: shufflenet
- **Dataset**: CIFAR-10
- **Training Strategy**: norm_clipping
- **Round**: 70
- **Number of Classes**: 10
## T... |
crystalline7/1999347 | crystalline7 | 2025-08-15T10:12:08 | 0 | 0 | null | [
"region:us"
] | null | 2025-08-15T10:12:07 | [View on Civ Archive](https://civitaiarchive.com/models/1859532?modelVersionId=2104581)
|
OpenRaiser/fwe_gla_340m_mars_shampoo_lr1e_2_b1_0_95_b2_0_99_eps_1e_12 | OpenRaiser | 2026-06-15T04:54:18 | 0 | 0 | null | [
"safetensors",
"gla",
"language-model",
"fla",
"fwe",
"license:apache-2.0",
"region:us"
] | null | 2026-06-15T04:54:11 | ---
license: apache-2.0
tags:
- gla
- language-model
- fla
- fwe
---
# fwe_gla_340m_mars_shampoo_lr1e_2_b1_0_95_b2_0_99_eps_1e_12_20260529_074647
This is a **340M GLA** language model trained on **FineWeb-Edu**
using the **MARS-Shampoo** optimizer, as part of the
[OpenTome](https://github.com/fla-org/open-tom... |
nar0ka/CryptoMindAIPro | nar0ka | 2026-05-01T19:53:02 | 0 | 0 | null | [
"n8n",
"automation",
"finance",
"ai-agents",
"gpt",
"coingecko-api",
"market-analysis",
"low-code",
"fintech",
"sentiment-analysis",
"crypto",
"trading-bot",
"region:us"
] | null | 2026-05-01T19:52:16 |
---
tags:
- n8n
- automation
- finance
- ai-agents
- gpt
- ai-agents
- coingecko-api
- market-analysis
- low-code
- fintech
- sentiment-analysis
- crypto
- trading-bot
---
# 📊 CryptoMind AI Pro: Аналитическая станция институционального уровня
 ![AI](https://img.... |
Sidratariq123/mistral-7b-finance-finetuned | Sidratariq123 | 2026-05-08T20:20:08 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.3-bnb-4bit",
"base_model:finetune:unsloth/mistral-7b-instruct-v0.3-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-05-08T20:19:54 | ---
base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** Sidratariq123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.3-bnb-4b... |
electroglyph/Qwen3-4B-Instruct-2507-uncensored-v2 | electroglyph | 2026-01-13T09:18:09 | 2 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-13T08:27:37 | ---
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507/blob/main/LICENSE
pipeline_tag: text-generation
---
# Qwen3-4B-Instruct-2507-uncensored-v2
Minimally trained version of Qwen3-4B-Instruct-2507. It should have zero refusals, but shouldn't be too offensi... |
Tristan-Day/TEST-model-name-step-1500 | Tristan-Day | 2025-11-29T04:07:17 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2025-11-25T04:02:57 | ---
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... |
ntkuhn/anime-score-model | ntkuhn | 2025-11-20T21:39:29 | 0 | 0 | null | [
"score-matching",
"anime",
"image-generation",
"pytorch",
"license:mit",
"region:us"
] | null | 2025-11-20T21:39:17 | ---
license: mit
tags:
- score-matching
- anime
- image-generation
- pytorch
---
# Anime Face Score Matching Model
A score-based generative model trained to generate 64x64 anime-style faces using Denoising Score Matching.
## Model Details
- **Model type**: NCSN / Score Matching
- **Training data**: Anime faces data... |
Chaitin/Shouyuan-Guard-0.6B | Chaitin | 2026-03-03T03:35:45 | 29 | 0 | null | [
"safetensors",
"qwen3",
"license:apache-2.0",
"region:us"
] | null | 2026-02-26T04:44:35 | ---
license: apache-2.0
---
# Shouyuan-Guard-0.6B
## Mode Description
**守元-归分**是由北京长亭科技基于Qwen3-0.6B研发的内容安全分类模型，训练数据源自长亭科技私有安全知识库，通过提示词工程、有监督微调和知识蒸馏等技术，取得了针对多类风险内容的安全识别能力。
**Shouyuan-Guifen** is a content safety classification model developed by Beijing Chaitin Tech based on Qwen3-0.6B. The training data originates ... |
guruswami-ai/ocker-bogan-nano | guruswami-ai | 2026-06-07T06:17:20 | 0 | 0 | gguf | [
"gguf",
"llama-cpp",
"australian",
"slang",
"ocker",
"not-happy-jan",
"humour",
"text-generation",
"en",
"base_model:huihui-ai/Qwen2.5-1.5B-Instruct-abliterated",
"base_model:quantized:huihui-ai/Qwen2.5-1.5B-Instruct-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
... | text-generation | 2026-06-07T06:02:02 | ---
license: apache-2.0
base_model: huihui-ai/Qwen2.5-1.5B-Instruct-abliterated
language:
- en
pipeline_tag: text-generation
library_name: gguf
tags:
- gguf
- llama-cpp
- australian
- slang
- ocker
- not-happy-jan
- humour
---
# ocker-bogan-nano 🇦🇺
A ~1.5B model that rephrases boring agent/dev status messages into ... |
kateryna7/distilbert-base-uncased-finetuned-emotion | kateryna7 | 2026-01-13T00:02:38 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"base_model:finetune:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2026-01-12T22:20:20 | ---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to.... |
TonyXavier69/Llama-3.1-8B-Legal-Advisor-QLoRA | TonyXavier69 | 2026-04-10T17:48:10 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit",
"base_model:finetune:unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-04-10T17:47:50 | ---
base_model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** TonyXavier69
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4... |
longtermrisk/adaptive_projection_a100_adaptive_alpha_v2_smoke-lora-new | longtermrisk | 2026-04-01T10:45:38 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:unsloth/Qwen2.5-32B-Instruct",
"lora",
"transformers",
"unsloth",
"text-generation",
"arxiv:1910.09700",
"base_model:unsloth/Qwen2.5-32B-Instruct",
"region:us"
] | text-generation | 2026-04-01T09:33:12 | ---
base_model: unsloth/Qwen2.5-32B-Instruct
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:unsloth/Qwen2.5-32B-Instruct
- lora
- transformers
- unsloth
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!... |
imagistrali/qwen_2.5_7b-scaleup_phoenix_dpo_MetaMathQA_logprobsJudge | imagistrali | 2026-01-05T20:54:55 | 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 | 2026-01-05T20:54:42 | ---
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:** imagistrali
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Qwen2.5-7B-Instruct
This qwen2 model was trained... |
azizshaw/vp_merged | azizshaw | 2026-06-12T11:47:18 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"unsloth",
"conversational",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-06-12T11:45:50 | ---
base_model: unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- **Developed by:** azizshaw
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-unsloth... |
nom666/Qwopus3.6-27B-v2-MTPLX-4bit-Speed | nom666 | 2026-06-12T05:26:36 | 0 | 0 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"mtplx",
"mtp",
"speculative-decoding",
"apple-silicon",
"qwopus",
"text-generation",
"conversational",
"en",
"base_model:Jackrong/Qwopus3.6-27B-v2",
"base_model:quantized:Jackrong/Qwopus3.6-27B-v2",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-06-12T05:19:06 | ---
language: en
pipeline_tag: text-generation
library_name: mlx
license: apache-2.0
base_model: Jackrong/Qwopus3.6-27B-v2
tags:
- mlx
- mtplx
- mtp
- speculative-decoding
- apple-silicon
- qwopus
---
# Qwopus3.6-27B-v2 · MTPLX 4-bit Speed
The speed-focused [MTPLX](https://github.com/youssofal/MTPLX) build of **Qwopu... |
kandinskylab/Kandinsky-5.0-I2V-Pro-LoRa-Microwave-right | kandinskylab | 2025-11-26T11:15:53 | 0 | 1 | null | [
"image-to-video",
"lora",
"en",
"ru",
"base_model:kandinskylab/Kandinsky-5.0-I2V-Pro-sft-5s",
"base_model:adapter:kandinskylab/Kandinsky-5.0-I2V-Pro-sft-5s",
"license:mit",
"region:us"
] | image-to-video | 2025-11-19T14:41:45 | ---
license: mit
language:
- en
- ru
base_model:
- kandinskylab/Kandinsky-5.0-I2V-Pro-sft-5s
pipeline_tag: image-to-video
tags:
- image-to-video
- lora
widget:
- text: >-
'M1CR0W4V3 r0t4tION, 360-degree rotation. A hyper-realistic 3D model joyful grey cat with soft, well-defined fur. It wears a green hoodie. He st... |
Prycat/Prycat1 | Prycat | 2026-04-18T09:27:17 | 0 | 0 | null | [
"safetensors",
"region:us"
] | null | 2026-04-18T08:24:43 | prycat
prycat is a QLoRA fine-tuned version of NousResearch/Hermes-3-Llama-3.1-8B, trained using the BlackLoRA-N closed-loop self-improvement system developed by Prycat Research. It is a research artifact demonstrating empirical, measurable improvement in a local language model through automated regret-targeted fine-tu... |
merve/openscene-vit-dinov3 | merve | 2026-03-03T15:26:44 | 81 | 0 | transformers | [
"transformers",
"safetensors",
"timm_wrapper",
"image-classification",
"vision",
"timm",
"generated_from_trainer",
"base_model:timm/vit_base_patch16_dinov3.lvd1689m",
"base_model:finetune:timm/vit_base_patch16_dinov3.lvd1689m",
"license:other",
"endpoints_compatible",
"region:us"
] | image-classification | 2026-03-03T15:24:36 | ---
library_name: transformers
license: other
base_model: timm/vit_base_patch16_dinov3.lvd1689m
tags:
- image-classification
- vision
- timm
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: openscene-vit-dinov3
results: []
---
<!-- This model card has been generated automatically according to the in... |
Lanni-ni/alibi_babylm_10m_2_4_256 | Lanni-ni | 2025-11-25T00:04:51 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"alibi",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"region:us"
] | text-generation | 2025-11-25T00:04:45 | ---
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... |
mradermacher/Pars-Medical-o1-Llama-FFT-i1-GGUF | mradermacher | 2025-12-23T15:07:48 | 87 | 0 | transformers | [
"transformers",
"gguf",
"medical",
"biology",
"persian",
"farsi",
"llama-3",
"chain-of-thought",
"fft",
"full-fine-tune",
"healthcare",
"clinical-reasoning",
"bilingual",
"o1-style",
"unsloth",
"en",
"fa",
"dataset:FreedomIntelligence/medical-o1-reasoning-SFT",
"dataset:erfan226/... | null | 2025-12-23T13:09:15 | ---
base_model: HexQuant/Pars-Medical-o1-Llama-FFT
datasets:
- FreedomIntelligence/medical-o1-reasoning-SFT
- erfan226/persian-medical-qa
- SeyedAli/Persian-Medical-Dataset
language:
- en
- fa
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- medical
- biolo... |
Prithwiraj731/Granite-3.1-2b-TwoWheeler | Prithwiraj731 | 2026-02-16T20:09:41 | 12 | 0 | null | [
"safetensors",
"gguf",
"granite",
"unsloth",
"text-generation",
"two-wheeler",
"bikes",
"motorcycles",
"scooters",
"automotive",
"conversational",
"en",
"base_model:ibm-granite/granite-3.1-2b-instruct",
"base_model:quantized:ibm-granite/granite-3.1-2b-instruct",
"license:apache-2.0",
"... | text-generation | 2026-02-16T20:03:03 | ---
license: apache-2.0
language:
- en
base_model:
- ibm-granite/granite-3.1-2b-instruct
tags:
- unsloth
- text-generation
- granite
- two-wheeler
- bikes
- motorcycles
- scooters
- automotive
- gguf
- safetensors
---
# 🏍️ Granite-3.1-2b-TwoWheeler
This model is a fine-tuned version of **[IBM Granite 3.1 2B Instruct... |
francescortu/qwen3-14b-taboo-dance | francescortu | 2026-07-03T04:06:10 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:Qwen/Qwen3-14B",
"lora",
"sft",
"transformers",
"trl",
"text-generation",
"conversational",
"arxiv:1910.09700",
"base_model:Qwen/Qwen3-14B",
"region:us"
] | text-generation | 2026-07-03T02:51:48 | ---
base_model: Qwen/Qwen3-14B
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:Qwen/Qwen3-14B
- lora
- sft
- transformers
- trl
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summar... |
agentlans/letter-from-the-future | agentlans | 2026-06-23T15:00:06 | 0 | 0 | null | [
"anachronism",
"sci-fi",
"society",
"humanity",
"future",
"history",
"time-travel",
"en",
"license:cc0-1.0",
"region:us"
] | null | 2026-06-23T14:51:06 | ---
license: cc0-1.0
language:
- en
tags:
- anachronism
- sci-fi
- society
- humanity
- future
- history
- time-travel
---
<details>
<summary>Prompt</summary>
```
You are a historian living in the year 2100 CE, writing a message back through the first successful time-travel communication system to people living in... |
MilyaShams/Qwen3-1.7B-GPTQ_W4A16_bs64_damp0.05 | MilyaShams | 2026-04-07T21:44:09 | 0 | 0 | null | [
"safetensors",
"qwen3",
"llmcompressor",
"quantization",
"pruning",
"GPTQ_W4A16_bs64_damp0.05",
"base_model:Qwen/Qwen3-1.7B",
"base_model:quantized:Qwen/Qwen3-1.7B",
"compressed-tensors",
"region:us"
] | null | 2026-04-07T21:43:49 | ---
base_model: Qwen/Qwen3-1.7B
tags:
- llmcompressor
- quantization
- pruning
- GPTQ_W4A16_bs64_damp0.05
---
# Compressed Model: MilyaShams/Qwen3-1.7B-GPTQ_W4A16_bs64_damp0.05
This model was compressed using the `llmcompressor` framework.
## Compression Details
- **Base Model:** Qwen/Qwen3-1.7B
- **Experiment Name:... |
Sai5480/monolingual-tokenizer-native-nep-vocab-128000 | Sai5480 | 2025-09-23T15:41:31 | 1 | 0 | null | [
"sentencepiece",
"tokenizer",
"monolingual",
"nep",
"vocab-128000",
"license:mit",
"region:us"
] | null | 2025-09-23T15:41:20 | ---
license: mit
tags:
- tokenizer
- sentencepiece
- monolingual
- nep
- vocab-128000
---
# Monolingual Tokenizer - Nepali (Vocab 128000)
This is a monolingual tokenizer trained on Nepali text with vocabulary size 128000.
## Usage
```python
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pret... |
mlx-community/MiniMax-M3-4bit | mlx-community | 2026-06-20T11:35:00 | 3,507 | 7 | mlx | [
"mlx",
"safetensors",
"minimax_m3_vl",
"multimodal",
"moe",
"agent",
"coding",
"video",
"image-text-to-text",
"conversational",
"custom_code",
"base_model:MiniMaxAI/MiniMax-M3",
"base_model:quantized:MiniMaxAI/MiniMax-M3",
"license:other",
"4-bit",
"region:us"
] | image-text-to-text | 2026-06-13T05:21:07 | ---
pipeline_tag: image-text-to-text
license: other
license_name: minimax-community
license_link: LICENSE
library_name: mlx
tags:
- multimodal
- moe
- agent
- coding
- video
- mlx
base_model: MiniMaxAI/MiniMax-M3
---
# mlx-community/MiniMax-M3-4bit
This model was converted to MLX format from [`MiniMaxAI/MiniMax-M3`](... |
roeker/blockassist-bc-quick_wiry_owl_1756076526 | roeker | 2025-08-24T23:03:33 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"quick wiry owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-24T23:02:53 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- quick wiry owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
HPLT/hplt-3.0-spa_Latn-llama-2b-100bt | HPLT | 2025-11-28T14:53:37 | 1,130 | 0 | null | [
"safetensors",
"llama",
"es",
"arxiv:2511.01066",
"license:apache-2.0",
"region:us"
] | null | 2025-11-27T14:38:28 | ---
language:
- es
license: apache-2.0
---
# Model Description
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
* **Language:** Spanish
* **Developed by:** [HPLT](https://hplt-project.org/)
* **Paper:** [arxiv.org/abs/2511.01066](https://arxiv.org/abs/2511.01066)
* **Evalu... |
misawa-t/push_wrist_camera | misawa-t | 2026-01-07T12:27:41 | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:misawa-t/push_wrist_camera",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-01-07T12:27:25 | ---
datasets: misawa-t/push_wrist_camera
library_name: lerobot
license: apache-2.0
model_name: act
pipeline_tag: robotics
tags:
- robotics
- act
- lerobot
---
# Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304... |
Syahrula/Operator2 | Syahrula | 2026-01-17T02:26:34 | 0 | 0 | null | [
"license:bigscience-openrail-m",
"region:us"
] | null | 2026-01-17T02:26:34 | ---
license: bigscience-openrail-m
---
|
nazalanala/lora_model_terbaru.1 | nazalanala | 2026-04-10T05:29:12 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-04-10T05:28:56 | ---
base_model: unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** nazalanala
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-unsloth-b... |
IAmTheRealGumbo/lora_finetuned-Llama-3.2-3B-gsm8k | IAmTheRealGumbo | 2026-03-09T21:02:21 | 49 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"unsloth",
"conversational",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-09T20:59:43 | ---
base_model: unsloth/llama-3.2-3b-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- **Developed by:** IAmTheRealGumbo
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3.2-3b-bnb-4bit
This llama model... |
mufeedh28/dictalm2-israeli-law-pretrain-merged | mufeedh28 | 2026-03-08T20:17:38 | 97 | 0 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
"legal",
"hebrew",
"israel",
"law",
"nlp",
"he",
"dataset:mufeedh28/israeli-law-pretrain",
"base_model:dicta-il/dictalm2.0",
"base_model:finetune:dicta-il/dictalm2.0",
"license:apache-2... | text-generation | 2026-03-08T17:26:15 | ---
base_model: dicta-il/dictalm2.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- legal
- hebrew
- israel
- law
- nlp
license: apache-2.0
language:
- he
pipeline_tag: text-generation
datasets:
- mufeedh28/israeli-law-pretrain
model-index:
- name: DictaLM 2.0 - Israeli Law
results: []
---
# D... |
leobianco/bosch_RM_Qwen_S12345_LLM_false_STRUCT_false_epo10_lr1e-4_r8_2602041544 | leobianco | 2026-02-04T18:02:20 | 4 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:Qwen/Qwen2.5-3B-Instruct",
"lora",
"transformers",
"base_model:Qwen/Qwen2.5-3B-Instruct",
"license:other",
"region:us"
] | null | 2026-02-04T15:45:28 | ---
library_name: peft
license: other
base_model: Qwen/Qwen2.5-3B-Instruct
tags:
- base_model:adapter:Qwen/Qwen2.5-3B-Instruct
- lora
- transformers
model-index:
- name: bosch_RM_Qwen_S12345_LLM_false_STRUCT_false_epo10_lr1e-4_r8_2602041544
results: []
---
<!-- This model card has been generated automatically accord... |
CowLiker/enf | CowLiker | 2025-11-24T21:00:40 | 0 | 0 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"region:us"
] | text-to-image | 2025-11-24T21:00:32 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/df0r498-ab1241d4-95c0-43c7-9183-86d176c2db42.png
text: '-'
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: covering, embarrassed
---
# enf
<Gallery />
## Trigger words
You should use `coveri... |
Smilyai-labs/Sam-2.0 | Smilyai-labs | 2025-08-26T22:58:09 | 1 | 1 | transformers | [
"transformers",
"sam2",
"text-generation",
"Sam-2",
"en",
"dataset:pfb30/multi_woz_v22",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-26T22:03:29 | ---
license: mit
datasets:
- pfb30/multi_woz_v22
language:
- en
pipeline_tag: text-generation
library_name: transformers
tags:
- Sam-2
- text-generation
---
# 🧠 Model Card: Sam‑2.0
## 📌 Model Overview
**Sam‑2.0** is a minimal, modular, decoder‑only Transformer architecture designed for chat‑style reasoning tasks. ... |
dawncr0w/Step-3.7-Flash-oQ2-MLX | dawncr0w | 2026-06-04T06:04:47 | 0 | 0 | mlx | [
"mlx",
"safetensors",
"step3p7",
"omlx",
"oq",
"oq2",
"quantized",
"vision-language",
"multimodal",
"moe",
"image-text-to-text",
"conversational",
"custom_code",
"base_model:stepfun-ai/Step-3.7-Flash",
"base_model:quantized:stepfun-ai/Step-3.7-Flash",
"license:apache-2.0",
"2-bit",
... | image-text-to-text | 2026-06-04T04:26:14 | ---
license: apache-2.0
base_model: stepfun-ai/Step-3.7-Flash
base_model_relation: quantized
library_name: mlx
pipeline_tag: image-text-to-text
tags:
- mlx
- omlx
- oq
- oq2
- quantized
- step3p7
- vision-language
- multimodal
- moe
- safetensors
---
# Step-3.7-Flash-oQ2-MLX
This repository contai... |
alex-cta/finetune-two-lab-policy | alex-cta | 2026-04-18T02:41:17 | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:alex-cta/record-test-lab",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-04-18T02:40:55 | ---
datasets: alex-cta/record-test-lab
library_name: lerobot
license: apache-2.0
model_name: act
pipeline_tag: robotics
tags:
- robotics
- lerobot
- act
---
# Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.1... |
am3lia-low/nus-datathon-group-6-flan-t5-finetuned-model | am3lia-low | 2026-01-26T10:28:22 | 0 | 0 | null | [
"safetensors",
"t5",
"region:us"
] | null | 2026-01-26T08:57:51 | ## NUS Datathon 2026 Group 6 Finetuned Model (flan t5)
Hello! This model was built for the purpose of generating executive briefings, given some company metrics.
full repo of solution here: https://github.com/am3lia-low/group-6-nus-datathon
license: unknown
base_model:
- google/flan-t5-base
pipeline_tag: text-... |
indoempatnol/blockassist-bc-fishy_wary_swan_1756043450 | indoempatnol | 2025-08-24T14:18:22 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"fishy wary swan",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-24T14:18:19 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- fishy wary swan
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Medved444/blockassist-bc-bellowing_finicky_manatee_1755608489 | Medved444 | 2025-08-19T13:31:46 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"bellowing finicky manatee",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T13:31:14 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- bellowing finicky manatee
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
gusassist/blockassist-bc-sniffing_thorny_bobcat_1756453580 | gusassist | 2025-08-29T07:46:58 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"sniffing thorny bobcat",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-29T07:46:50 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- sniffing thorny bobcat
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ambankent047/blockassist-bc-scurrying_darting_antelope_1761635218 | ambankent047 | 2025-10-28T07:20:08 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"scurrying darting antelope",
"arxiv:2504.07091",
"region:us"
] | null | 2025-10-28T07:20:05 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- scurrying darting antelope
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Vishath/Reinforce-model_2 | Vishath | 2025-12-14T09:56:35 | 0 | 0 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | reinforcement-learning | 2025-12-14T09:56:21 | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-model_2
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
met... |
Lohitakshh/lunarlander | Lohitakshh | 2026-04-12T06:51:40 | 0 | 0 | stable-baselines3 | [
"stable-baselines3",
"LunarLander-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | 2026-04-12T06:46:44 | ---
library_name: stable-baselines3
tags:
- LunarLander-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v3
type: LunarLander-v3
... |
jay27903/whisper-small-my-burmese | jay27903 | 2026-02-12T19:10:53 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2026-02-12T19:10:18 | ---
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... |
CryptoYogi/qwen3-0.6b-tamil-lora | CryptoYogi | 2026-02-13T04:12:41 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:Qwen/Qwen3-0.6B-Base",
"lora",
"transformers",
"text-generation",
"conversational",
"arxiv:1910.09700",
"base_model:Qwen/Qwen3-0.6B-Base",
"region:us"
] | text-generation | 2026-02-13T04:12:38 | ---
base_model: Qwen/Qwen3-0.6B-Base
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:Qwen/Qwen3-0.6B-Base
- lora
- transformers
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summar... |
Nanthasit/sakthai-context-7b-merged | Nanthasit | 2026-07-25T13:41:17 | 534 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"qwen2.5",
"sakthai",
"house-of-sak",
"tool-calling",
"instruct",
"conversational",
"merged",
"lora",
"agent",
"function-calling",
"t4-compatible",
"en",
"dataset:Nanthasit/sakthai-combined-v5",
"base_model:Qwen/Qwen2.5-7B-... | text-generation | 2026-07-06T09:37:05 | ---
license: apache-2.0
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- qwen2.5
- sakthai
- house-of-sak
- tool-calling
- instruct
- conversational
- merged
- lora
- agent
- function-calling
- t4-compatible
datasets:
- Nanthasit/sakthai-combined-v5
base_model: Qwen/Qwen2.5-7B-Instruct
mo... |
End of preview. Expand in Data Studio
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
Uses
There are a number of potential uses for this dataset including:
- text mining to find common themes in model cards
- analysis of the model card format/content
- topic modelling of model cards
- analysis of the model card metadata
- training language models on model cards
Out-of-Scope Use
[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.
Source Data
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.
Data Collection and Processing
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.
Annotations [optional]
There are no additional annotations in this dataset beyond the model card content.
Annotation process
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.
Bias, Risks, and Limitations
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.
Citation
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.
Dataset Card Authors
Dataset Card Contact
- Downloads last month
- 1,061
Curated by:
Daniel van Strien
Language(s) (NLP):
Model cards on the Hugging Face Hub are predominantly in English but may include other languages.
Number of rows:
686,353
Total file size:
1.15 GB