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feature-extraction | transformers |
# Model card for ViTamin-L2-224px
Official huggingface models of **ViTamin**, from the following CVPR 2024 paper:
[ViTamin: Design Scalable Vision Models in the Vision-language Era](https://arxiv.org/pdf/2404.02132.pdf).\
✨  [Jieneng Chen](https://beckschen.github.io), [Qihang Yu](https://yucornetto.github.io/... | {"license": "mit", "datasets": ["mlfoundations/datacomp_1b"], "pipeline_tag": "feature-extraction"} | jienengchen/ViTamin-L2-224px | null | [
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#transformers #pytorch #feature-extraction #custom_code #dataset-mlfoundations/datacomp_1b #arxiv-2404.02132 #license-mit #region-us
| Model card for ViTamin-L2-224px
===============================
Official huggingface models of ViTamin, from the following CVPR 2024 paper:
ViTamin: Design Scalable Vision Models in the Vision-language Era.
Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan Yuille and Liang-Chieh Chen
Johns Hopkins University, Byt... | [] | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# SFT_phi2_hh-rlhf_epoch1-subset60000
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "SFT_phi2_hh-rlhf_epoch1-subset60000", "results": []}]} | Holarissun/SFT_phi2_hh-rlhf_epoch1-subset60000 | null | [
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|
# SFT_phi2_hh-rlhf_epoch1-subset60000
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | Ldrago116/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3243
* Accuracy: 0.9712
Model description
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | ethan-lam/a2c-PandaReachDense-v3 | null | [
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|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | Yingzhe/ppo-Huggy | null | [
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"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-08T06:11:24+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# DialogLED-large-5120-QMSum-finetuned-10Epochs
This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https://hug... | {"tags": ["generated_from_trainer", "conversation_summarization"], "datasets": ["pszemraj/qmsum-cleaned"], "base_model": "MingZhong/DialogLED-base-16384", "model-index": [{"name": "DialogLED-base-16384-QMSum-finetuned-10Epochs", "results": []}]} | StDestiny/DialogLED-base-16384-QMSum-finetuned-10Epochs | null | [
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T06:11:25+00:00 | [] | [] | TAGS
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|
# DialogLED-large-5120-QMSum-finetuned-10Epochs
This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on the qmsum dataset.
## Model description
More information needed
## Intended uses & limitations
For dialouge summarization.
## Training and evaluation data
More information needed
## Trainin... | [
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_16_64_0.01_2_0.0002 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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null | null | # Gemma SCAPPY QATAR adapter
### Introduction
This is fine-tuned [QLora](https://github.com/artidoro/qlora) adapter of [Gemma 7B base model](https://huggingface.co/google/gemma-7b) using [Python Code Critic 21K Dataset](https://huggingface.co/datasets/gcw-ai/python_code_critic_21k).
This is trained for Python code a... | {"license": "gemma"} | gcw-ai/gemma-scappy-qatar-adapter | null | [
"safetensors",
"license:gemma",
"region:us"
] | null | 2024-04-08T06:13:16+00:00 | [] | [] | TAGS
#safetensors #license-gemma #region-us
| # Gemma SCAPPY QATAR adapter
### Introduction
This is fine-tuned QLora adapter of Gemma 7B base model using Python Code Critic 21K Dataset.
This is trained for Python code agent SCAPPY (Self Critic Agent for Programming in Python) which is submitted for Kaggle Challenge Google-AI Assistants for Data Tasks with Gemma... | [
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null | transformers |
# DavidAU/BigMaid-20B-v1.0-Q5_K_M-GGUF
This model was converted to GGUF format from [`TeeZee/BigMaid-20B-v1.0`](https://huggingface.co/TeeZee/BigMaid-20B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hugging... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["roleplay", "text-generation-inference", "merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "model-index": [{"name": "BigMaid-20B-v1.0", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "datas... | DavidAU/BigMaid-20B-v1.0-Q5_K_M-GGUF | null | [
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|
# DavidAU/BigMaid-20B-v1.0-Q5_K_M-GGUF
This model was converted to GGUF format from 'TeeZee/BigMaid-20B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
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text-generation | transformers |
# CodeMind
Coding Test Explanatory LLM Model. | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["LimYeri/leetcode_with_youtube_captions"], "pipeline_tag": "text-generation", "base_model": ["mistralai/Mistral-7B-v0.1"], "widget": [{"messages": [{"role": "user", "content": "explain about leetcode 1 add sum problem."}]}], "inference"... | LimYeri/CodeMind-Mistral-7B-v0.1-8bit | null | [
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|
# CodeMind
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] |
null | transformers |
# 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. -->
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null | transformers |
# 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. -->
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null | transformers | ## About
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static quants of https://huggingface.co/ChuckMcSneed/ArcaneEntanglement-model64-70b
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-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
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null | transformers |
# Uploaded model
- **Developed by:** shabieh2
- **License:** apache-2.0
- **Finetuned from model :** unsloth/codellama-34b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/codellama-34b-bnb-4bit"} | shabieh2/34b_20240407_model | null | [
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# Uploaded model
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text-generation | transformers |
# Mistral-7B-v0.1-GGUF
- Quantized version of [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
- Created using llama.cpp
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ReadMe format inspired from [mlabonne](https://huggingfa... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mistral", "text-generation-inference"], "pipeline_tag": "text-generation", "base_model": "mistralai/Mistral-7B-v0.1", "inference": false} | QuantFactory/Mistral-7B-v0.1-GGUF | null | [
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|
# Mistral-7B-v0.1-GGUF
- Quantized version of Mistral-7B-v0.1
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_16_64_0.01_8_0.0002 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
<a href="https://github.com/nlpai-lab/KULLM">
<img src="https://huggingface.co/nlpai-lab/KULLM3/resolve/main/kullm_logo.png" width="50%"/>
</a>
# This repository is the awq quantization version of KULLM3.
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<a href="URL
<img src="URL width="50%"/>
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# This repository is the awq quantization version of KULLM3.
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null | transformers |
# 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. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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### Model Description
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null | transformers |
# DavidAU/BigMaid-20B-v1.0-Q5_K_S-GGUF
This model was converted to GGUF format from [`TeeZee/BigMaid-20B-v1.0`](https://huggingface.co/TeeZee/BigMaid-20B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hugging... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["roleplay", "text-generation-inference", "merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "model-index": [{"name": "BigMaid-20B-v1.0", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "datas... | DavidAU/BigMaid-20B-v1.0-Q5_K_S-GGUF | null | [
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"en"
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|
# DavidAU/BigMaid-20B-v1.0-Q5_K_S-GGUF
This model was converted to GGUF format from 'TeeZee/BigMaid-20B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
"# DavidAU/BigMaid-20B-v1.0-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'TeeZee/BigMaid-20B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.1544344213622758, 0.0093285241... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.15-0.01-0.79-0.31-0.16-0.95-7B | null | [
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"text-generation",
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"automerger",
"base_model:liminerity/M7-7b",
"base_model:AurelPx/Percival_01-7b-slerp",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"re... | null | 2024-04-08T06:33:21+00:00 | [] | [] | TAGS
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|
## Configuration
## Usage
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] |
null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_32_32_0.01_4_0.0002 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | messiah10/codeparrot-ds | null | [
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#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 5.3469
- eval_runtime: 70.7509
- eval_samples_per_second: 217.283
- eval_steps_per_second: 6.798
- epoch: 3.11
- step: 140
## Model description
More information n... | [
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text-generation | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 12thD/ko-gemma-7b-dpo-sft-v0.2 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
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#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_32_32_0.01_8_0.0002 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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text-to-video | diffusers |
# LLM-grounded Video Diffusion Models
[Long Lian](https://tonylian.com/), [Baifeng Shi](https://bfshi.github.io/), [Adam Yala](https://www.adamyala.org/), [Trevor Darrell](https://people.eecs.berkeley.edu/~trevor/), [Boyi Li](https://sites.google.com/site/boyilics/home) at UC Berkeley/UCSF. **ICLR 2024**.
[Project Pa... | {"tags": ["text-to-video"], "duplicated_from": "ali-vilab/text-to-video-ms-1.7b"} | longlian/text-to-video-lvd-ms | null | [
"diffusers",
"safetensors",
"text-to-video",
"region:us"
] | null | 2024-04-08T06:38:51+00:00 | [] | [] | TAGS
#diffusers #safetensors #text-to-video #region-us
|
# LLM-grounded Video Diffusion Models
Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li at UC Berkeley/UCSF. ICLR 2024.
Project Page | Related Project: LMD | Citation
This model is based on modelscope but with additional conditioning from bounding boxes in a GLIGEN fashion.
Similar to LLM-grounded Diffusio... | [
"# LLM-grounded Video Diffusion Models\nLong Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li at UC Berkeley/UCSF. ICLR 2024.\n\nProject Page | Related Project: LMD | Citation\n\nThis model is based on modelscope but with additional conditioning from bounding boxes in a GLIGEN fashion.\n\nSimilar to LLM-ground... | [
"TAGS\n#diffusers #safetensors #text-to-video #region-us \n",
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text-generation | null |
# codegood/Mistral-7B-Instruct-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from [`mistralai/Mistral-7B-Instruct-v0.2`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origi... | {"license": "apache-2.0", "tags": ["finetuned", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | codegood/Mistral-7B-Instruct-v0.2-Q4_K_M-GGUF | null | [
"gguf",
"finetuned",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"license:apache-2.0",
"region:us"
] | null | 2024-04-08T06:39:56+00:00 | [] | [] | TAGS
#gguf #finetuned #llama-cpp #gguf-my-repo #text-generation #license-apache-2.0 #region-us
|
# codegood/Mistral-7B-Instruct-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from 'mistralai/Mistral-7B-Instruct-v0.2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
C... | [
"# codegood/Mistral-7B-Instruct-v0.2-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'mistralai/Mistral-7B-Instruct-v0.2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "cc-by-nc-4.0", "tags": ["axolotl", "generated_from_trainer"], "base_model": "CohereForAI/c4ai-command-r-v01", "model-index": [{"name": "command-r-ja-sharegpt", "results": []}]} | yentinglin/command-r-ja-sharegpt | null | [
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"conversational",
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"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-08T06:41:25+00:00 | [] | [] | TAGS
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|
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
<details><summary>See axolotl config</summary>
axolotl version: '0.4.0'
</details><br>
# command-r-ja-sharegpt
This model is a fine-tuned version of CohereForAI/c4ai-command-r-v01 on the None dataset.
## Model description
More information needed... | [
"# command-r-ja-sharegpt\n\nThis model is a fine-tuned version of CohereForAI/c4ai-command-r-v01 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training p... | [
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text-to-image | diffusers |
# DreamBooth model for the wty concept trained by THEEK-HAI on the dataset.
This is a Stable Diffusion model fine-tuned on the wty concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of wty road**
This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation... | {"license": "creativeml-openrail-m", "tags": ["pytorch", "diffusers", "stable-diffusion", "text-to-image", "diffusion-models-class", "dreambooth-hackathon", "landscape"], "widget": [{"text": "a photo of wtx cat in the beach,natural light,hd,vivid,"}]} | THEEK-HAI/wty-road | null | [
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|
# DreamBooth model for the wty concept trained by THEEK-HAI on the dataset.
This is a Stable Diffusion model fine-tuned on the wty concept with DreamBooth. It can be used by modifying the 'instance_prompt': a photo of wty road
This model was created as part of the DreamBooth Hackathon . Visit the organisation page f... | [
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_32_64_0.01_2_0.0002 | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | taekyoung/codeparrot-ds | null | [
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|
# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 5.9557
- eval_runtime: 30.0187
- eval_samples_per_second: 437.361
- eval_steps_per_second: 13.691
- epoch: 1.25
- step: 70
## Model description
More information n... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | hygn/codeparrot-ds | null | [
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# codeparrot-ds
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- eval_steps_per_second: 13.165
- epoch: 2.22
- step: 120
## Model description
More information ... | [
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_32_64_0.01_4_0.0002 | null | [
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# Model Card for Model ID
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# beit-base-patch16-224-pt22k-finetuned-eurosat
This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k](http... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224-pt22k", "model-index": [{"name": "beit-base-patch16-224-pt22k-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Classi... | shubham91/beit-base-patch16-224-pt22k-finetuned-eurosat | null | [
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| beit-base-patch16-224-pt22k-finetuned-eurosat
=============================================
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0003
* Accuracy: 1.0
Model description
------------... | [
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.2639122951491276, 0.7506801371... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.26-0.75-0.72-0.35-0.62-0.99-7B | null | [
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## Configuration
## Usage
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | ChickChick/distilgpt2-finetuned-wikitext2 | null | [
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| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 6.7301
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
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token-classification | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | adityaprakhar/LILT_attorney_name_classification_april_8 | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | KYOUNGEUN/codeparrot-ds | null | [
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|
# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 6.4060
- eval_runtime: 35.6226
- eval_samples_per_second: 427.903
- eval_steps_per_second: 13.39
- epoch: 0.93
- step: 50
## Model description
More information ne... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | gogo0920/codeparrot-ds | null | [
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# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 6.1335
- eval_runtime: 28.4028
- eval_samples_per_second: 435.626
- eval_steps_per_second: 13.625
- epoch: 1.12
- step: 60
## Model description
More information n... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | inseokteo/codeparrot-ds | null | [
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# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
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- eval_loss: 6.3249
- eval_runtime: 30.1756
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- eval_steps_per_second: 13.09
- epoch: 0.96
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## Model description
More information ne... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | sm750s/codeparrot-ds | null | [
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# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 6.2317
- eval_runtime: 32.8409
- eval_samples_per_second: 434.946
- eval_steps_per_second: 13.611
- epoch: 0.81
- step: 50
## Model description
More information n... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | thsohn/codeparrot-ds | null | [
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| codeparrot-ds
=============
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.9260
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## Model descrip... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | jmoonyoung/codeparrot-ds | null | [
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# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | sodam/codeparrot-ds | null | [
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# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 6.0850
- eval_runtime: 41.7729
- eval_samples_per_second: 381.157
- eval_steps_per_second: 11.922
- epoch: 1.06
- step: 50
## Model description
More information n... | [
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null | transformers |
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | Dohkim/codeparrot-ds | null | [
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# codeparrot-ds
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- eval_runtime: 32.4403
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- eval_steps_per_second: 13.533
- epoch: 0.6
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More information ne... | [
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@import url(URL
body {
font-family: 'Courier New', monospace;
background-color: #000;
color: #0f0;
margin: 0;
padding: 20px;
line-height: 1.5
}
.terminal {
background-color: #000;
padding: 20px;
border: 3px solid #0f0;
max-width: 800px;
margin: 20px auto;
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | thanh111/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-08T06:55:31+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | minji222/codeparrot-ds | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-08T06:55:51+00:00 | [] | [] | TAGS
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|
# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 8.0264
- eval_runtime: 28.929
- eval_samples_per_second: 426.63
- eval_steps_per_second: 13.343
- epoch: 0.19
- step: 10
## Model description
More information nee... | [
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null | transformers |
# DavidAU/BigMaid-20B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from [`TeeZee/BigMaid-20B-v1.0`](https://huggingface.co/TeeZee/BigMaid-20B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingfa... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["roleplay", "text-generation-inference", "merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "model-index": [{"name": "BigMaid-20B-v1.0", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "datas... | DavidAU/BigMaid-20B-v1.0-Q8_0-GGUF | null | [
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|
# DavidAU/BigMaid-20B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from 'TeeZee/BigMaid-20B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | Narednra/L1newtinyllama1B | null | [
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"safetensors",
"llama",
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#peft #safetensors #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_64_32_0.01_2_0.0002 | null | [
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"endpoints_compatible",
"region:us"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 12thD/ko-gemma-7b-dpo-sft-v1.0 | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
AWQ quantized version of gemma-1.1-7b-it model.
---
# Gemma Model Card
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs)
This model card corresponds to the latest 7B instruct version of the Gemma model. Here you can find other models in the Gemma family:
| | Base ... | {"license": "gemma", "library_name": "transformers", "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, you\u2019re requi... | TechxGenus/gemma-1.1-7b-it-AWQ | null | [
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---
Gemma Model Card
================
Model Page: Gemma
This model card corresponds to the latest 7B instruct version of the Gemma model. Here you can find other models in the Gemma family:
Base: 2B, Instruct: gemma-2b
Base: 7B, Instruct: gemma-7b
Release No... | [
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text-generation | transformers | new_model_jun | {} | junhyeok0415/new_model_jun | null | [
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.5155667273273322, 0.6788310814... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.52-0.68-0.85-0.75-0.05-0.09-7B | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inference",
"re... | null | 2024-04-08T07:03:41+00:00 | [] | [] | TAGS
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|
## Configuration
## Usage
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_64_32_0.01_4_0.0002 | null | [
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"safetensors",
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Qwen1.5-32B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and ... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | neteroster/Qwen1.5-32B-Chat-2.55bpw-h6-exl2 | null | [
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# Qwen1.5-32B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
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text-generation | peft |
# Model Card for Model ID
This PEFT weight is used to specify McDonald's invoice data in Taiwan to gain insights.
Disclaimer: This model is for a time series problem on LLM performance, and it's not for investment advice; any prediction results are not a basis for investment reference.
## Model Details
### Model D... | {"language": ["en"], "license": "llama2", "library_name": "peft", "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "model_name": "Llama 2 7B Chat", "base_model": "DavidLanz/Llama2-tw-7B-v2.0.1-chat", "inference": false, "model_creator": "Meta Llama 2", "model_type": "llama", "pipeline_tag": "text-generation... | DavidLanz/llama2_7b_taiwan_invoice_qlora | null | [
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|
# Model Card for Model ID
This PEFT weight is used to specify McDonald's invoice data in Taiwan to gain insights.
Disclaimer: This model is for a time series problem on LLM performance, and it's not for investment advice; any prediction results are not a basis for investment reference.
## Model Details
### Model D... | [
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automatic-speech-recognition | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | spsither/wav2vec2_run10.660 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_same_noreplacerej_declr_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://hugg... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_idpo_same_noreplacerej_declr_iter_1", "results": []}]} | ZhangShenao/0.001_idpo_same_noreplacerej_declr_iter_1 | null | [
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|
# 0.001_idpo_same_noreplacerej_declr_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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null | null |
# DavidAU/CarbonVillain-en-10.7B-v5-Q8_0-GGUF
This model was converted to GGUF format from [`jeonsworld/CarbonVillain-en-10.7B-v5`](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [ori... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/CarbonVillain-en-10.7B-v5-Q8_0-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us
|
# DavidAU/CarbonVillain-en-10.7B-v5-Q8_0-GGUF
This model was converted to GGUF format from 'jeonsworld/CarbonVillain-en-10.7B-v5' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
C... | [
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_64_32_0.01_8_0.0002 | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# resultscnn
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on th... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "resultscnn", "results": []}]} | albertlp/resultscnn | null | [
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|
# resultscnn
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9160
- Rouge1: 64.0853
- Rouge2: 55.0121
- Rougel: 60.8493
- Rougelsum: 60.8601
- Gen Len: 107.4455
## Model description
More information needed
## In... | [
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_64_64_0.01_2_0.0002 | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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question-answering | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-2b-fine-tuned for learning Python Programming easy
This model is a fine-tuned version of [google/gemma-2b](https://hugging... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b", "pipeline_tag": "question-answering", "model-index": [{"name": "gemma-2b-fine-tuned", "results": []}]} | Ikeofai/gemma-2b-fine-tuned | null | [
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| gemma-2b-fine-tuned for learning Python Programming easy
========================================================
This model is a fine-tuned version of google/gemma-2b on a very small dataset of 205 carefully datapoints on Python programming.
It achieves the following results on the evaluation set:
* Loss: 1.2177
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral_7B_0.2_Chat_finetuned_DS_v1_RL
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggin... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral_7B_0.2_Chat_finetuned_DS_v1_RL", "results": []}]} | mango-sciences/Mistral_7B_0.2_Chat_finetuned_DS_v1_RL | null | [
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"license:apache-2.0",
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|
# Mistral_7B_0.2_Chat_finetuned_DS_v1_RL
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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null | null |
# DavidAU/CarbonVillain-en-10.7B-v5-Q6_K-GGUF
This model was converted to GGUF format from [`jeonsworld/CarbonVillain-en-10.7B-v5`](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [ori... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/CarbonVillain-en-10.7B-v5-Q6_K-GGUF | null | [
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|
# DavidAU/CarbonVillain-en-10.7B-v5-Q6_K-GGUF
This model was converted to GGUF format from 'jeonsworld/CarbonVillain-en-10.7B-v5' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
C... | [
"# DavidAU/CarbonVillain-en-10.7B-v5-Q6_K-GGUF\nThis model was converted to GGUF format from 'jeonsworld/CarbonVillain-en-10.7B-v5' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL serve... | [
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text-generation | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | anony975/llama_fine_tuned | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.8006027834577485, 0.8521390445... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.8-0.85-0.86-0.36-0.42-0.16-7B | null | [
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"re... | null | 2024-04-08T07:18:45+00:00 | [] | [] | TAGS
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|
## Configuration
## Usage
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] |
null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_64_64_0.01_4_0.0002 | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | lottienghiem/distilgpt2-finetuned-wikitext2 | null | [
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"endpoints_compatible",
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"region:us"
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| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5082
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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null | null |
# DavidAU/CarbonVillain-en-10.7B-v5-Q5_K_M-GGUF
This model was converted to GGUF format from [`jeonsworld/CarbonVillain-en-10.7B-v5`](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [o... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/CarbonVillain-en-10.7B-v5-Q5_K_M-GGUF | null | [
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"en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | 2024-04-08T07:24:38+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us
|
# DavidAU/CarbonVillain-en-10.7B-v5-Q5_K_M-GGUF
This model was converted to GGUF format from 'jeonsworld/CarbonVillain-en-10.7B-v5' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shtapm/whisper-large_0408_decoder_31 | null | [
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"1910.09700"
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-generation | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sazirarrwth99/mistradopnewfinal | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | Yousef2002/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2105
* Accuracy: 0.925
* F1: 0.9252
Model description
-----------------
Mor... | [
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/zefiro-7b-base-ITA__adapters_it.layer1_NoQuant_torch.bfloat16_64_64_0.01_8_0.0002 | null | [
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"endpoints_compatible",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | mjm765/slot_filling_bad_data_continual_mistral | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
| Step | Training Loss |
|------|---------------|
| 25 | 1.065300 |
| 50 | 0.573700 |
| 75 | 0.655200 |
| 100 | 0.605700 |
| 125 | 0.431100 |
| 150 | 0.642100 |
| 175 | 0.389200 |
## Model Details
Trained with 703 emails
| {"library_name": "transformers", "tags": []} | DataIntelligenceTeam/mistral_7B_NER | null | [
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| Model Card for Model ID
=======================
Model Details
-------------
Trained with 703 emails
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ying7888/b2b-lora-1 | null | [
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"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | aliramikh/distilbert-base-uncased-finetuned-emotion | null | [
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"region:us"
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2174
* Accuracy: 0.923
* F1: 0.9229
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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null | null |
# DavidAU/CarbonVillain-en-10.7B-v5-Q5_K_S-GGUF
This model was converted to GGUF format from [`jeonsworld/CarbonVillain-en-10.7B-v5`](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [o... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/CarbonVillain-en-10.7B-v5-Q5_K_S-GGUF | null | [
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|
# DavidAU/CarbonVillain-en-10.7B-v5-Q5_K_S-GGUF
This model was converted to GGUF format from 'jeonsworld/CarbonVillain-en-10.7B-v5' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.8913891279955852, 0.4862243419... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.89-0.49-0.98-0.33-0.12-0.61-7B | null | [
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"re... | null | 2024-04-08T07:30:48+00:00 | [] | [] | TAGS
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## Usage
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sft_v4_reverse_v1
## Model description
This model is a fine-tuned version of [davidkim205/nox-solar-10.7b-v4](https://huggingfac... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "davidkim205/nox-solar-10.7b-v4", "model-index": [{"name": "sft_v4_reverse_v1", "results": []}]} | huiwonLee/sft_v4_reverse_lora_8bit_v1 | null | [
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#peft #safetensors #llama #trl #sft #generated_from_trainer #dataset-generator #base_model-davidkim205/nox-solar-10.7b-v4 #license-apache-2.0 #region-us
| sft\_v4\_reverse\_v1
====================
Model description
-----------------
This model is a fine-tuned version of davidkim205/nox-solar-10.7b-v4 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5200
### Training hyperparameters
The following hyperparameters were u... | [
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null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shtapm/whisper-large_0408_decoder_31_re | null | [
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mask-generation | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | diliash/sam-2024-04-08-06-34-33 | null | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Fredithefish/MadMix-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mistral", "merge", "openchat", "7b"], "base_model": "Fredithefish/MadMix-v0.1", "quantized_by": "mradermacher"} | mradermacher/MadMix-v0.1-GGUF | null | [
"transformers",
"gguf",
"mistral",
"merge",
"openchat",
"7b",
"en",
"base_model:Fredithefish/MadMix-v0.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T07:39:10+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mistral #merge #openchat #7b #en #base_model-Fredithefish/MadMix-v0.1 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #mistral #merge #openchat #7b #en #base_model-Fredithefish/MadMix-v0.1 #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/HuggingFaceH4/zephyr-7b-beta
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "quantized_by": "mradermacher"} | mradermacher/zephyr-7b-beta-GGUF | null | [
"transformers",
"gguf",
"generated_from_trainer",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"base_model:HuggingFaceH4/zephyr-7b-beta",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T07:40:20+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #generated_from_trainer #en #dataset-HuggingFaceH4/ultrachat_200k #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/zephyr-7b-beta #license-mit #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #generated_from_trainer #en #dataset-HuggingFaceH4/ultrachat_200k #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/zephyr-7b-beta #license-mit #endpoints_compatible #region-us \n"
] | [
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] |
text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.3971503740486436, 0.6649148917... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.4-0.66-0.97-0.25-0.96-0.79-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:liminerity/M7-7b",
"base_model:AurelPx/Percival_01-7b-slerp",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"re... | null | 2024-04-08T07:42:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-liminerity/M7-7b #base_model-AurelPx/Percival_01-7b-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## Configuration
## Usage
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"## Usage"
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"## Configuration",
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] |
null | transformers |
# 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. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Sajjo/w2v-bert-2.0-bangala-gpu-CV16_v3 | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T07:42:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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text-generation | transformers |
# YamshadowInex12_T3qExperiment26
YamshadowInex12_T3qExperiment26 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/T3qExperiment26-7B](https://huggingface.co/automerger/T3qExperiment26-7B)
## 💻 Usage
```python
!pip install -... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_T3qExperiment26", "base_model": ["automerger/YamshadowInex12-7B", "automerger/T3qExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_... | MaziyarPanahi/YamshadowInex12_T3qExperiment26 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowInex12-7B",
"base_model:automerger/T3qExperiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T07:44:03+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/T3qExperiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_T3qExperiment26
YamshadowInex12_T3qExperiment26 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/T3qExperiment26-7B
## Usage
| [
"# YamshadowInex12_T3qExperiment26\n\nYamshadowInex12_T3qExperiment26 is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/T3qExperiment26-7B",
"## Usage"
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment26T3qm7xp
M7Yamshadowexperiment28_Experiment26T3qm7xp is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment26T3qm7xp-7B](https://huggingface.co/automerger/Experiment26T3qm... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment26T3qm7xp", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment26T3qm7xp-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment26T3qm7xp | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/Experiment26T3qm7xp-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T07:44:09+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment26T3qm7xp-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Experiment26T3qm7xp
M7Yamshadowexperiment28_Experiment26T3qm7xp is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment26T3qm7xp-7B
## Usage
| [
"# M7Yamshadowexperiment28_Experiment26T3qm7xp\n\nM7Yamshadowexperiment28_Experiment26T3qm7xp is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/Experiment26T3qm7xp-7B",
"## Usage"
] | [
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"# M7Yamshadowexperiment28_Experiment26T3qm7xp\n\nM7Y... | [
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text-generation | transformers |
# MeliodasPercival_01_Experiment26T3q
MeliodasPercival_01_Experiment26T3q is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Experiment26T3q-7B](https://huggingface.co/automerger/Experiment26T3q-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Experiment26T3q", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Experiment26T3q-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/MeliodasPercival_01_Experiment26T3q | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/Experiment26T3q-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T07:44:11+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Experiment26T3q-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Experiment26T3q
MeliodasPercival_01_Experiment26T3q is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Experiment26T3q-7B
## Usage
| [
"# MeliodasPercival_01_Experiment26T3q\n\nMeliodasPercival_01_Experiment26T3q is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Experiment26T3q-7B",
"## Usage"
] | [
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null | peft |
# 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. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "fnlp/bart-base-chinese"} | tonyma163/bart_v0 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:fnlp/bart-base-chinese",
"region:us"
] | null | 2024-04-08T07:44:47+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-fnlp/bart-base-chinese #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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text-generation | transformers |
GPTQ quantized version of gemma-1.1-7b-it model.
---
# Gemma Model Card
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs)
This model card corresponds to the latest 7B instruct version of the Gemma model. Here you can find other models in the Gemma family:
| | Base ... | {"license": "gemma", "library_name": "transformers", "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, you\u2019re requi... | TechxGenus/gemma-1.1-7b-it-GPTQ | null | [
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---
Gemma Model Card
================
Model Page: Gemma
This model card corresponds to the latest 7B instruct version of the Gemma model. Here you can find other models in the Gemma family:
Base: 2B, Instruct: gemma-2b
Base: 7B, Instruct: gemma-7b
Release N... | [
"### Description\n\n\nGemma is a family of lightweight, state-of-the-art open models from Google,\nbuilt from the same research and technology used to create the Gemini models.\nThey are text-to-text, decoder-only large language models, available in English,\nwith open weights, pre-trained variants, and instruction... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-2312.11805 #arxiv-2009.03300 #arxiv-1905.07830 #arxiv-1911.11641 #arxiv-1904.09728 #arxiv-1905.10044 #arxiv-1907.10641 #arxiv-1811.00937 #arxiv-1809.02789 #arxiv-1911.01547 #arxiv-1705.03551 #arxiv-2107.03374 #arxiv-2108.07732 #arxiv-2... | [
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"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-2312.11805 #arxiv-2009.03300 #arxiv-1905.07830 #arxiv-1911.11641 #arxiv-1904.09728 #arxiv-1905.10044 #arxiv-1907.10641 #arxiv-1811.00937 #arxiv-1809.02789 #arxiv-1911.01547 #arxiv-1705.03551 #arxiv-2107.03374 #arxiv-2108.07732 #arxiv-2... |
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