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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": []} | BuroIdentidadDigital/pasaporte_Mex_v0 | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T17:24:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #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-to-image | diffusers |
# ae-realistic-v6 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "ae-realistic-v6"
C... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/ae-realistic-v6 | null | [
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|
# ae-realistic-v6 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "ae-realistic-v6"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="jasonsgraham/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additiona... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | jasonsgraham/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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"reinforcement-learning",
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"model-index",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## 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. -->
# zephyr-7b-sft-full
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-full", "results": []}]} | RedFairy/zephyr-7b-sft-full-zero3-noOffload | null | [
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| zephyr-7b-sft-full
==================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1973
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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text-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": []} | sheshuan/distilbert-base-uncased-finetuned-subj_obj_1.1 | 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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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. -->
# distilroberta-base-mrpc-glue-jehicoob
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilro... | {"license": "apache-2.0", "tags": ["text-classification", "generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-mrpc-glue-jehicoob", "results": []}]} | Jehicoob/distilroberta-base-mrpc-glue-jehicoob | null | [
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#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilroberta-base-mrpc-glue-jehicoob
=====================================
This model is a fine-tuned version of distilroberta-base on the datasetX dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4221
* Accuracy: 0.8284
* F1: 0.8746
Model description
-----------------
More informati... | [
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text2text-generation | transformers | # Gemma 2B Fine-Tuned SQL Generator
## Introduction
The Gemma 2B SQL Generator is a specialized version of the Gemma 2B model, fine-tuned to generate SQL queries based on a given SQL context. This model has been tailored to assist developers and analysts in generating accurate SQL queries automatically, enhancing prod... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["gretelai/synthetic_text_to_sql"], "inference": {"parameters": {"do_sample": false, "max_new_tokens": 250, "temperature": 0.7}}, "pipeline_tag": "text2text-generation"} | suriya7/Gemma2B-Finetuned-Sql-Generator | null | [
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| # Gemma 2B Fine-Tuned SQL Generator
## Introduction
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - multimodalart/B-LoRA_style
<Gallery />
## Model description
These are multimodalart/B-LoRA_sty... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stabl... | multimodalart/B-LoRA_style | null | [
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"license:openrail++",
"region:us"
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|
# SDXL LoRA DreamBooth - multimodalart/B-LoRA_style
<Gallery />
## Model description
These are multimodalart/B-LoRA_style LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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": []} | Lancelot53/dna-tokenizer-4096 | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#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.
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_lrate5e-5_v2 | null | [
"stable-baselines3",
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#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with S... | [
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automatic-speech-recognition | 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. -->
# Whisper Small Tr - CV 43h - LLR
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisp... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Tr - CV 43h - LLR", "results": [{"task": {"type": "automatic-speech-recognition", "nam... | alikanakar/whisper-small-CV-43-llr | null | [
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| Whisper Small Tr - CV 43h - LLR
===============================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2477
* Wer: 21.3892
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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. -->
# robust_llm_pythia-imdb-70m-mz-ada-v3-bs-4
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/E... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-imdb-70m-mz-ada-v3-bs-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-70m-mz-ada-v3-bs-4 | null | [
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|
# robust_llm_pythia-imdb-70m-mz-ada-v3-bs-4
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"... | [
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | Nitya07/mistral7b_finetuned | null | [
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|
# Model Card for Model ID
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text-to-audio | 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. -->
# malay_full_checkpoint
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_t... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "malay_full_checkpoint", "results": []}]} | mikhail-panzo/malay_full_checkpoint | null | [
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#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| malay\_full\_checkpoint
=======================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3226
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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. -->
# the-stack-smol
This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) on an... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "bigcode/starcoder2-3b", "model-index": [{"name": "the-stack-smol", "results": []}]} | pranav-16/the-stack-smol | null | [
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"generated_from_trainer",
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-bigcode/starcoder2-3b #license-bigcode-openrail-m #region-us
|
# the-stack-smol
This model is a fine-tuned version of bigcode/starcoder2-3b 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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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": []} | emendes3/idefics-9b-instruct-city | null | [
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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.
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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-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["matthews_correlation"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-cola", "results": []}]} | bbin2022/distilbert-base-uncased-finetuned-cola | null | [
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| distilbert-base-uncased-finetuned-cola
======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6442
* Matthews Correlation: 0.5173
Model description
-----------------
More infor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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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"} | Rodr16020/llama-2-13b-chat-gns3-python | null | [
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#peft #region-us
| ## Training procedure
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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. -->
# facebook-commet-classification-small
This model is a fine-tuned version of [uitnlp/visobert](https://huggingface.co/uitnlp/visob... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "uitnlp/visobert", "model-index": [{"name": "facebook-commet-classification-small", "results": []}]} | DuongTrongChi/facebook-commet-classification-small | null | [
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#transformers #tensorboard #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-uitnlp/visobert #autotrain_compatible #endpoints_compatible #region-us
| facebook-commet-classification-small
====================================
This model is a fine-tuned version of uitnlp/visobert on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1605
* Accuracy: 0.9427
* F1: 0.7552
* Precision: 0.8298
* Recall: 0.6929
Model description
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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text-classification | bertopic |
# impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_7_prob
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | RolMax/impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_7_prob | null | [
"bertopic",
"text-classification",
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#bertopic #text-classification #region-us
| impf\_ukrain\_postcov\_all\_sns\_topics\_umap\_lok\_hdbscan\_lok\_ctfidf\_seed\_7\_prob
=======================================================================================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable t... | [] | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | KevinNabuule/cassava-disease-classifier | null | [
"fastai",
"region:us"
] | null | 2024-04-10T17:59:43+00:00 | [] | [] | TAGS
#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
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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-spock
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilgpt2", "model-index": [{"name": "distilgpt2-spock", "results": []}]} | omgbobbyg/distilgpt2-spock | null | [
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| distilgpt2-spock
================
This model is a fine-tuned version of distilbert/distilgpt2 on the dataset of all lines of dialogue spoken by the character Spock in the original Star Trek series: (URL
It achieves the following results on the evaluation set:
* Loss: 3.8278
Model description
-----------------
... | [
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null | peft |
# Model Card for Alpacazord-Viking-LoRA-7B
LoRA trained with text-generation-webui in 4-bit using [LumiOpen/Viking-7B](https://huggingface.co/LumiOpen/Viking-7B/) as the base model for 1 epoch. Dataset used with the LoRA is [mpasila/Alpacazord-V1](https://huggingface.co/datasets/mpasila/Alpacazord-V1/).
It uses Alpa... | {"language": ["fi"], "license": "apache-2.0", "library_name": "peft", "datasets": ["mpasila/Alpacazord-V1"], "base_model": "LumiOpen/Viking-7B"} | mpasila/Alpacazord-Viking-LoRA-7B | null | [
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|
# Model Card for Alpacazord-Viking-LoRA-7B
LoRA trained with text-generation-webui in 4-bit using LumiOpen/Viking-7B as the base model for 1 epoch. Dataset used with the LoRA is mpasila/Alpacazord-V1.
It uses Alpaca format like so:
Using the following settings:
### Framework versions
- PEFT 0.8.2 | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | mergekit-community/mergekit-slerp-jeyctse | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* HuggingFaceH4/zephyr-7b-beta
* Equall/Saul-Base
### Configuration
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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. -->
# robust_llm_pythia-imdb-31m-mz-ada-v3-bs-4
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/E... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-imdb-31m-mz-ada-v3-bs-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-31m-mz-ada-v3-bs-4 | null | [
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|
# robust_llm_pythia-imdb-31m-mz-ada-v3-bs-4
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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null | transformers |
# Uploaded model
- **Developed by:** Omickeyee
- **License:** apache-2.0
- **Finetuned from model :** google/gemma-7b
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "google/gemma-7b"} | Omickeyee/Marathi_Gemma_7B_20k | null | [
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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. -->
# results
This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-3](https://huggingface.co/sshleifer/distilbart-xsum-... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge", "bertscore"], "base_model": "sshleifer/distilbart-xsum-12-3", "model-index": [{"name": "results", "results": []}]} | LA1512/fine-tuned-distilbart-xsum-12-3-news-summary | null | [
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| results
=======
This model is a fine-tuned version of sshleifer/distilbart-xsum-12-3 on the News-summary-Kaggle dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1426
* Rouge1: 51.2701
* Rouge2: 28.3575
* Rougel: 37.9263
* Rougelsum: 45.8934
* Gen Len: 75.777
Model description
----------... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# snikhiel/distilbert_v2
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/di... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "snikhiel/distilbert_v2", "results": []}]} | snikhiel/distilbert_v2 | null | [
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| snikhiel/distilbert\_v2
=======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.2582
* Validation Loss: 0.8369
* Train Accuracy: 0.8701
* Epoch: 1
Model description
------------... | [
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null | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | alre5639/frontier_diff_no_cond | null | [
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null | null |
<!-- 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. -->
# flan-t5-xl-absa-multitask-rest
This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/y... | {"tags": ["generated_from_trainer"], "base_model": "ybelkada/flan-t5-xl-sharded-bf16", "model-index": [{"name": "flan-t5-xl-absa-multitask-rest", "results": []}]} | Shakhovak/flan-t5-xl-absa-multitask-rest | null | [
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| flan-t5-xl-absa-multitask-rest
==============================
This model is a fine-tuned version of ybelkada/flan-t5-xl-sharded-bf16 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1127
Model description
-----------------
More information needed
Intended uses & limita... | [
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token-classification | transformers |
# distilbert-base-uncased-finetuned-FiNER
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) trained on a subset of the [nlpaueb/finer-139](https://huggingface.co/datasets/nlpaueb/finer-139) dataset.
The subset is generated by filterin... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["nlpaueb/finer-139"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "pipeline_tag": "token-classification", "model-index": [{"name": "distilbert-base-uncased-finetun... | bodias/distilbert-base-uncased-finetuned-FiNER | null | [
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| distilbert-base-uncased-finetuned-FiNER
=======================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased trained on a subset of the nlpaueb/finer-139 dataset.
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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. -->
# my_awesome_model
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-cased", "model-index": [{"name": "my_awesome_model", "results": []}]} | Stephanie-S/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
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Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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text-generation | transformers |
# Model Card for Alpacazord-Viking-7B
This is a merge of [mpasila/Alpacazord-Viking-LoRA-7B](https://huggingface.co/mpasila/Alpacazord-Viking-LoRA-7B/).
LoRA trained with text-generation-webui in 4-bit using [LumiOpen/Viking-7B](https://huggingface.co/LumiOpen/Viking-7B/) as the base model for 1 epoch. Dataset used ... | {"language": ["fi"], "license": "apache-2.0", "datasets": ["mpasila/Alpacazord-V1"], "base_model": "LumiOpen/Viking-7B"} | mpasila/Alpacazord-Viking-7B | null | [
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| Model Card for Alpacazord-Viking-7B
===================================
This is a merge of mpasila/Alpacazord-Viking-LoRA-7B.
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automatic-speech-recognition | 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. -->
# Whisper Small Tr - CV 43h - Frozen Encoder
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/o... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Tr - CV 43h - Frozen Encoder", "results": [{"task": {"type": "automatic-speech-recogni... | alikanakar/whisper-small-CV-43-freeze-encoder | null | [
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| Whisper Small Tr - CV 43h - Frozen Encoder
==========================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset.
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-----------------
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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": []} | BuroIdentidadDigital/pasaporte_Mex_v1 | null | [
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null | transformers | ## About
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-----
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.
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text-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw2.25 | null | [
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"zh",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"zh",
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|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
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automatic-speech-recognition | 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. -->
# Whisper Small Tr - CV 43h - Linear Decay
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/ope... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Tr - CV 43h - Linear Decay", "results": [{"task": {"type": "automatic-speech-recogniti... | alikanakar/whisper-small-CV-43-linear-decay | null | [
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| Whisper Small Tr - CV 43h - Linear Decay
========================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2554
* Wer: 21.6318
Model description
-----------------
More informati... | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | ManziHilbert/Cassava_Disease_Prediction | null | [
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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null | transformers |
This model has been pushed to the Hub using ****:
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- Docs: [More Information Needed] | {"tags": ["pytorch_model_hub_mixin", "model_hub_mixin"]} | CV3D/linear_classifier | null | [
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This model has been pushed to the Hub using :
- Repo:
- Docs: | [] | [
"TAGS\n#transformers #safetensors #pytorch_model_hub_mixin #model_hub_mixin #endpoints_compatible #region-us \n"
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | adithyac2207/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-10T18:27:53+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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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_instruct_generation_v2
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_instruct_generation_v2", "results": []}]} | rafaeloc15/mistral_instruct_generation_v2 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-10T18:28:07+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral\_instruct\_generation\_v2
=================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0259
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\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: constant\n* lr\\_scheduler\\_warmup\\_step... | [
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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-20var-ChatBot
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/TheB... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-20var-ChatBot", "results": []}]} | sanduntg/mistral-20var-ChatBot | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.1-GPTQ",
"license:apache-2.0",
"has_space",
"region:us"
] | null | 2024-04-10T18:32:26+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.1-GPTQ #license-apache-2.0 #has_space #region-us
|
# mistral-20var-ChatBot
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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"## Intended uses & limitations\n\nMore information needed",
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712774569064x549524627584889700
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Theuzs/Ada_Re2"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712774569064x549524627584889700 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:Theuzs/Ada_Re2",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-10T18:42:58+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Theuzs/Ada_Re2 #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712774569064x549524627584889700
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text-generation | transformers |
# MergerixStrangemerges_32-7B
MergerixStrangemerges_32-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [Gille/StrangeMerges_32-7B-slerp](https://huggingface.co/Gille/StrangeMerges_32-7B-slerp)
## 🧩 Configuration
```yaml
models:
- model: Min... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["Gille/StrangeMerges_32-7B-slerp"]} | automerger/MergerixStrangemerges_32-7B | null | [
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"mistral",
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"automerger",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T18:48:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-Gille/StrangeMerges_32-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# MergerixStrangemerges_32-7B
MergerixStrangemerges_32-7B is an automated merge created by Maxime Labonne using the following configuration.
* Gille/StrangeMerges_32-7B-slerp
## 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": []} | GJhordan/mistral-conll2003_extended_instruction | null | [
"transformers",
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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.
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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": []} | HikariLight/Mistral-UFT-1-5e-05-3-all | 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]:
- Model type:
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- License... | [
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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. -->
# MistralLite
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistr... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "MistralLite", "results": []}]} | sanduntg/MistralLite | null | [
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"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.1-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-10T18:52:11+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.1-GPTQ #license-apache-2.0 #region-us
|
# MistralLite
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
"# MistralLite\n\nThis model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ 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 pro... | [
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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. -->
# t5-small-pas2act
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It ach... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-pas2act", "results": []}]} | Pushparaj20/t5-small-pas2act | null | [
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"region:us"
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| t5-small-pas2act
================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1232
* Rouge1: 97.9812
* Rouge2: 94.9546
* Rougel: 95.8714
* Rougelsum: 95.8973
* Gen Len: 14.9464
Model description
-----------------
More i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4\n* mixed\\_prec... | [
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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"} | mohan11111/falconbest | null | [
"peft",
"safetensors",
"falcon",
"region:us"
] | null | 2024-04-10T18:55:32+00:00 | [] | [] | TAGS
#peft #safetensors #falcon #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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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": []} | lancer59/gemma2bitpromptReEngineer | 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 |
<!-- 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. -->
# llama-guard-finetuned-1ep-1000
This model is a fine-tuned version of [meta-llama/LlamaGuard-7b](https://huggingface.co/meta-llam... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/LlamaGuard-7b", "model-index": [{"name": "llama-guard-finetuned-1ep-1000", "results": []}]} | anuvab/llama-guard-finetuned-1ep-1000 | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/LlamaGuard-7b #license-llama2 #region-us
|
# llama-guard-finetuned-1ep-1000
This model is a fine-tuned version of meta-llama/LlamaGuard-7b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
"# llama-guard-finetuned-1ep-1000\n\nThis model is a fine-tuned version of meta-llama/LlamaGuard-7b on an unknown dataset.",
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text-generation | transformers |
# ECE-TW3-JRGL-V5
ECE-TW3-JRGL-V5 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [davidkim205/Rhea-72b-v0.5](https://huggingface.co/davidkim205/Rhea-72b-v0.5)
* [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1)
## 🧩 Configuration | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "davidkim205/Rhea-72b-v0.5", "abacusai/Smaug-72B-v0.1"]} | MatthieuJ/ECE-TW3-JRGL-V5 | null | [
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|
# ECE-TW3-JRGL-V5
ECE-TW3-JRGL-V5 is a merge of the following models using mergekit:
* davidkim205/Rhea-72b-v0.5
* abacusai/Smaug-72B-v0.1
## Configuration | [
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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": "codellama/CodeLlama-7b-Instruct-hf"} | mingyue0101/super-instruct | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-codellama/CodeLlama-7b-Instruct-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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. -->
# zephyr-7b-kto-iter0-des133
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "kto"], "datasets": ["generated/iter0"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-7b-kto-iter0-des133", "results": []}]} | DatPySci/zephyr-7b-kto-iter0-des133 | null | [
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... | null | 2024-04-10T19:00:16+00:00 | [] | [] | TAGS
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|
# zephyr-7b-kto-iter0-des133
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the generated/iter0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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text-generation | transformers | ### TeeZee/Bielik-SOLAR-LIKE-10.7B-Instruct-v0.1 ###
Precise recipe used by Upstage to create [SOLAR](https://huggingface.co/upstage/SOLAR-10.7B-v1.0) was applied to https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1
*(just merge, no finetuning)
### Results ###
- model is still coherent in Polish language, even... | {"license": "cc-by-nc-4.0"} | TeeZee/Bielik-SOLAR-LIKE-10.7B-Instruct-v0.1 | null | [
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"region:us"
] | null | 2024-04-10T19:00:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ### TeeZee/Bielik-SOLAR-LIKE-10.7B-Instruct-v0.1 ###
Precise recipe used by Upstage to create SOLAR was applied to URL
*(just merge, no finetuning)
### Results ###
- model is still coherent in Polish language, even without finetuning after merge
- instruct mode works in ooba without issues
- model is censored and alig... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | Trisert/mergekit-slerp-fxwtrsn | null | [
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"base_model:Equall/Saul-Base",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T19:03:50+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* HuggingFaceH4/zephyr-7b-beta
* Equall/Saul-Base
### Configuration
The following... | [
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automatic-speech-recognition | transformers |
# Model Card
- **Developed by:** [Cnam-LMSSC](https://huggingface.co/Cnam-LMSSC)
- **Model type:** [Wav2Vec2ForCTC](https://huggingface.co/transformers/v4.9.2/model_doc/wav2vec2.html#transformers.Wav2Vec2ForCTC)
- **Language:** French
- **License:** MIT
- **Finetuned from model:** [facebook/wav2vec2-base-fr-voxpopu... | {"language": "fr", "license": "mit", "library_name": "transformers", "tags": ["audio", "automatic-speech-recognition", "speech", "phonemize", "phoneme"], "datasets": ["Cnam-LMSSC/vibravox"], "metrics": ["per"], "model-index": [{"name": "Wav2Vec2-base French finetuned for Speech-to-Phoneme by LMSSC", "results": [{"task"... | Cnam-LMSSC/phonemizer_airborne.mouth_headworn.reference_microphone | null | [
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| Model Card
==========
* Developed by: Cnam-LMSSC
* Model type: Wav2Vec2ForCTC
* Language: French
* License: MIT
* Finetuned from model: facebook/wav2vec2-base-fr-voxpopuli-v2
* Finetuned dataset: 'airborne.mouth\_headworn.reference\_microphone' audio of the 'speech\_clean' subset of Cnam-LMSSC/vibravox
* Samplerate f... | [] | [
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] |
null | mlx |
# GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.5`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.5) for more details on the model.
## Use with mlx
```bash
pip... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.5-mlx | null | [
"mlx",
"safetensors",
"qwen2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-10T19:06:00+00:00 | [] | [] | TAGS
#mlx #safetensors #qwen2 #license-apache-2.0 #region-us
|
# GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.5']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
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"TAGS\n#mlx #safetensors #qwen2 #license-apache-2.0 #region-us \n# GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.5-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.5']().\nRefer to the original model card for more details on the model.## Use with mlx"
] |
text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
This is a [SetFit](https://github.com/huggingface/setfit) model trained on the [ag_news](https://huggingface.co/datasets/ag_news) dataset that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-MiniLM-L3-v2](https:/... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "datasets": ["ag_news"], "metrics": ["accuracy"], "widget": [{"text": "Pakistani, US national arrested in New York bomb plot (AFP) AFP - A Pakistani national and a US citizen were arrested ove... | hsmashiana/setfit-minilm-distilled | null | [
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"2209.11055"
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| SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
=========================================================
This is a SetFit model trained on the ag\_news dataset that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-MiniLM-L3-v2 as the Sentence Transformer embeddin... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/paraphrase-MiniLM-L3-v2\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 128 tokens\n* Number of Classes: 4 classes\n* Training Dataset: ag\\_news",
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text-generation | adapter-transformers |
# OpenAssistant QLoRA Adapter for Llama-2 13B
QLoRA adapter for the Llama-2 13B (`meta-llama/Llama-2-13b-hf`) model trained for instruction tuning on the [timdettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco/) dataset.
**This adapter was created for usage with the [Ada... | {"license": "apache-2.0", "tags": ["llama", "adapter-transformers", "llama-2"], "datasets": ["timdettmers/openassistant-guanaco"], "pipeline_tag": "text-generation"} | AdapterHub/llama2-13b-qlora-openassistant | null | [
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"region:us"
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#adapter-transformers #llama #llama-2 #text-generation #dataset-timdettmers/openassistant-guanaco #arxiv-2305.14314 #license-apache-2.0 #region-us
|
# OpenAssistant QLoRA Adapter for Llama-2 13B
QLoRA adapter for the Llama-2 13B ('meta-llama/Llama-2-13b-hf') model trained for instruction tuning on the timdettmers/openassistant-guanaco dataset.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
Now, the model an... | [
"# OpenAssistant QLoRA Adapter for Llama-2 13B\n\nQLoRA adapter for the Llama-2 13B ('meta-llama/Llama-2-13b-hf') model trained for instruction tuning on the timdettmers/openassistant-guanaco dataset.\n\nThis adapter was created for usage with the Adapters library.",
"## Usage\n\nFirst, install 'adapters':\n\n\n\... | [
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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": []} | sanduntg/Mistral-Chatbot | null | [
"transformers",
"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... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Textual inversion text2image fine-tuning - averma332/textual_inversion_melanoma
These are textual inversion adaption wei... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "inference": true, "base_model": "runwayml/stable-diffusion-v1-5"} | averma332/textual_inversion_melanoma | null | [
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... | null | 2024-04-10T19:12:10+00:00 | [] | [] | TAGS
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|
# Textual inversion text2image fine-tuning - averma332/textual_inversion_melanoma
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide exam... | [
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"## Intended uses & limitations",
"#### How to use",
"#### Limitations and bias\n\n[TODO: pr... | [
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null | peft |
# Weni/WeniGPT-Agents-Mistral-1.0.1-SFT
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment with SFT and a new tokenizer configuration for chat t... | {"language": ["pt"], "license": "mit", "library_name": "peft", "tags": ["SFT", "WeniGPT"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.1-SFT", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.1-SFT | null | [
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#peft #safetensors #SFT #WeniGPT #pt #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-mit #region-us
|
# Weni/WeniGPT-Agents-Mistral-1.0.1-SFT
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of the WeniGPT project for Weni.
Description: Experiment with SFT and a new tokenizer configuration for chat template of mistral
... | [
"# Weni/WeniGPT-Agents-Mistral-1.0.1-SFT\n\nThis model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of the WeniGPT project for Weni.\nDescription: Experiment with SFT and a new tokenizer configuration for chat template of mi... | [
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text-generation | transformers | # Model Card for Mixtral-8x22B
The Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
Model details:
- 🧠 ~176B params, ~44B active during inference
- 🪟 65K context window
- 🕵🏾♂️ 8 experts, 2 per token
- 🤓 32K vocab size
- ✂️ Similar tokenizer as 7B
Model quantized a... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe"]} | mistral-community/Mixtral-8x22B-v0.1-4bit | null | [
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"4-bit",
"region:us"
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#transformers #safetensors #mixtral #text-generation #moe #fr #it #de #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #4-bit #region-us
| # Model Card for Mixtral-8x22B
The Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
Model details:
- ~176B params, ~44B active during inference
- 65K context window
- ️ 8 experts, 2 per token
- 32K vocab size
- ️ Similar tokenizer as 7B
Model quantized and added by ... | [
"# Model Card for Mixtral-8x22B\nThe Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.\n\nModel details:\n- ~176B params, ~44B active during inference\n- 65K context window\n- ️ 8 experts, 2 per token \n- 32K vocab size \n- ️ Similar tokenizer as 7B\n\nModel quantize... | [
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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. -->
# LLM
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-In... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "LLM", "results": []}]} | george2704/LLM_old | null | [
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"region:us"
] | null | 2024-04-10T19:15:12+00:00 | [] | [] | TAGS
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| LLM
===
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1056
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.02\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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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": []} | Grayx/unstable_70 | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
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"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #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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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/gihong99/Myrrh_solar_10.7b_1.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "gihong99/Myrrh_solar_10.7b_1.0", "quantized_by": "mradermacher"} | mradermacher/Myrrh_solar_10.7b_1.0-GGUF | null | [
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#transformers #gguf #en #base_model-gihong99/Myrrh_solar_10.7b_1.0 #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... | [] | [
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] |
text-classification | transformers |
## Model Description
**bert-base-german-cased_cimt-argument-concreteness** is a fine-tuned BERT model that is built to predict the concreteness of argumentative utterances in urban planning processes. It has been trained to recognize three classes: high concreteness (LABEL_2), intermediate concreteness (LABEL_1), and... | {"language": ["de"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "tags": ["public participation", "text classification", "argument quality"]} | juliaromberg/bert-base-german-cased_cimt-argument-concreteness | null | [
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"text classification",
"argument quality",
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"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T19:18:17+00:00 | [] | [
"de"
] | TAGS
#transformers #pytorch #bert #text-classification #public participation #text classification #argument quality #de #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us
|
## Model Description
bert-base-german-cased_cimt-argument-concreteness is a fine-tuned BERT model that is built to predict the concreteness of argumentative utterances in urban planning processes. It has been trained to recognize three classes: high concreteness (LABEL_2), intermediate concreteness (LABEL_1), and low... | [
"## Model Description\n\nbert-base-german-cased_cimt-argument-concreteness is a fine-tuned BERT model that is built to predict the concreteness of argumentative utterances in urban planning processes. It has been trained to recognize three classes: high concreteness (LABEL_2), intermediate concreteness (LABEL_1), a... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="ricardoams/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | ricardoams/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-10T19:19:18+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="ricardoams/taxi", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- 2.7... | ricardoams/taxi | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-10T19:21:40+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## 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": []} | ManiWavelabs/phi2_LoRA_64_128_10epochs | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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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.
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fill-mask | 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": []} | udmurtNLP/zerpal-rubert-tiny2 | null | [
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# Model Card for Model ID
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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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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": []} | udmurtNLP/zerpal-rubert-tiny2-tokenizer | 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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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_tfreq2_v2 | null | [
"stable-baselines3",
"ALE/Pacman-v5",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-10T19:23:50+00:00 | [] | [] | TAGS
#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with S... | [
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text-generation | transformers |
# DeepCode-7B-Aurora-v3
DeepCode-7B-Aurora-v3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [deepseek-ai/deepseek-math-7b-instruct](https://huggingface.co/deepseek-ai/deepseek-math-7b-instruct)
* [deepseek-ai/deepseek-... | {"license": "apache-2.0", "tags": ["deepseek-ai/deepseek-math-7b-instruct", "deepseek-ai/deepseek-math-7b-base", "deepseek-ai/deepseek-math-7b-rl"], "base_model": ["deepseek-ai/deepseek-math-7b-instruct", "deepseek-ai/deepseek-math-7b-base", "deepseek-ai/deepseek-math-7b-rl", "deepseek-ai/deepseek-math-7b-rl", "deepsee... | ALBADDAWI/DeepCode-7B-Aurora-v3 | null | [
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"conversational",
"base_model:deepseek-ai/deepseek-math-7b-instruct",
"license:apache-2.0",
"autotrain_compatible",
"endpo... | null | 2024-04-10T19:28:36+00:00 | [] | [] | TAGS
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# DeepCode-7B-Aurora-v3
DeepCode-7B-Aurora-v3 is a merge of the following models using LazyMergekit:
* deepseek-ai/deepseek-math-7b-instruct
* deepseek-ai/deepseek-math-7b-base
* deepseek-ai/deepseek-math-7b-rl
* deepseek-ai/deepseek-math-7b-rl
* deepseek-ai/deepseek-math-7b-rl
* deepseek-ai/deepseek-math-7b-rl
* dee... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [LargeWorldModel/LWM-Text-Chat-1M](https://h... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["LargeWorldModel/LWM-Text-Chat-1M"]} | mergekit-community/mergekit-slerp-ozbsicw | null | [
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"merge",
"base_model:LargeWorldModel/LWM-Text-Chat-1M",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T19:29:43+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-LargeWorldModel/LWM-Text-Chat-1M #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* LargeWorldModel/LWM-Text-Chat-1M
### Configuration
The following YAML configura... | [
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token-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. -->
# roberta-base-finetuned-ner
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unkno... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base-finetuned-ner", "results": []}]} | lobrien001/roberta-base-finetuned-ner | null | [
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"token-classification",
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"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T19:30:09+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #token-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| roberta-base-finetuned-ner
==========================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1738
* Precision: 0.6666
* Recall: 0.7036
* F1: 0.6846
* Accuracy: 0.6664
Model description
-----------------
More in... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 6",
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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. -->
# lmd-8bars-2048-epochs10
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achi... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "lmd-8bars-2048-epochs10", "results": []}]} | MikeMpapa/lmd-8bars-2048-epochs10 | null | [
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"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T19:35:23+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| lmd-8bars-2048-epochs10
=======================
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9961
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | tarpalsus/ppo-LunarLander-v2 | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-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": []} | ml233/prompt-tuning-no_negation | null | [
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#transformers #safetensors #llama #text-classification #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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# datagemma-2b
The datagemma-2b is a model designated for data science code generation from natural language instruction. It is fine-tuned from codegemma-2b model. Fine tuning was performed on the [ed001/ds-coder-instruct-v2](https://huggingface.co/datasets/ed001/ds-coder-instruct-v2) dataset which is constructed by ... | {"language": ["en"], "license": "mit", "tags": ["code", "data science"], "datasets": ["ed001/ds-coder-instruct-v2"], "pipeline_tag": "text-generation"} | ed001/datagemma-2b | null | [
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|
# datagemma-2b
The datagemma-2b is a model designated for data science code generation from natural language instruction. It is fine-tuned from codegemma-2b model. Fine tuning was performed on the ed001/ds-coder-instruct-v2 dataset which is constructed by filtering publicly available datasets on HuggingFace.
## Usag... | [
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... | [
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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": []} | unrented5443/ig9t01q | 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 | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [LargeWorldModel/LWM-Text-Chat-1M](https://huggingface.co/LargeWorld... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["LargeWorldModel/LWM-Text-Chat-1M"]} | mergekit-community/LWM-14b-Text-Chat-1M | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear DARE merge method using LargeWorldModel/LWM-Text-Chat-1M as a base.
### Models Merged
The following models were included in the merge:
### Configuration
The fol... | [
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"### Models Merged\n\nThe following models were included in the merge:",
... | [
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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": []} | shallow6414/tb4oezu | 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]:
- Model type:
- Language(s) (NLP):
- 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": []} | Weni/WeniGPT-Agents-Mistral-1.0.1-SFT-merged | 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]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | This is an ExLlamaV2 quantized model in 4bpw of [mpasila/Alpacazord-Viking-7B](https://huggingface.co/mpasila/Alpacazord-Viking-7B) using the default calibration dataset.
# Original Model card:
# Model Card for Alpacazord-Viking-7B
This is a merge of [mpasila/Alpacazord-Viking-LoRA-7B](https://huggingface.co/mpasila... | {"language": ["fi"], "license": "apache-2.0", "datasets": ["mpasila/Alpacazord-V1"], "base_model": "LumiOpen/Viking-7B"} | mpasila/Alpacazord-Viking-7B-exl2-4bpw | null | [
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| This is an ExLlamaV2 quantized model in 4bpw of mpasila/Alpacazord-Viking-7B using the default calibration dataset.
Original Model card:
====================
Model Card for Alpacazord-Viking-7B
===================================
This is a merge of mpasila/Alpacazord-Viking-LoRA-7B.
LoRA trained with text-gener... | [
"#### FIN-bench scores:\n\n\nWill add later. And possibly other evals?????",
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text-generation | transformers |
# NikolayKozloff/MATH-BG-v1-7B-Q8_0-GGUF
This model was converted to GGUF format from [`rmihaylov/MATH-BG-v1-7B`](https://huggingface.co/rmihaylov/MATH-BG-v1-7B) 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://huggi... | {"language": ["bg", "en"], "license": "other", "library_name": "transformers", "tags": ["mistral", "instruct", "bggpt", "insait", "llama-cpp", "gguf-my-repo"], "base_model": "INSAIT-Institute/BgGPT-7B-Instruct-v0.2", "pipeline_tag": "text-generation"} | NikolayKozloff/MATH-BG-v1-7B-GGUF | null | [
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"base_model:INSAIT-Institute/BgGPT-7B-Instruct-v0.2",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T19:42:08+00:00 | [] | [
"bg",
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|
# NikolayKozloff/MATH-BG-v1-7B-Q8_0-GGUF
This model was converted to GGUF format from 'rmihaylov/MATH-BG-v1-7B' 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:
... | [
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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. -->
# whisper-small-yi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on th... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-yi", "results": []}]} | KevinKibe/whisper-small-yi | null | [
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"pytorch",
"safetensors",
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"license:apache-2.0",
"region:us"
] | null | 2024-04-10T19:42:22+00:00 | [] | [] | TAGS
#peft #pytorch #safetensors #generated_from_trainer #base_model-openai/whisper-small #license-apache-2.0 #region-us
|
# whisper-small-yi
This model is a fine-tuned version of openai/whisper-small on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.6963
- eval_wer: 100.0
- eval_runtime: 36.201
- eval_samples_per_second: 0.193
- eval_steps_per_second: 0.028
- epoch: 99.01
- step: 100
## Mode... | [
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null | null | Original model:
https://huggingface.co/AIRI-Institute/OmniFusion/tree/main/OmniMistral-v1_1
GGUF q5.
There is only the text part of LLM in this model files.
Visual part (projector) is not working. It needs to be converted to gguf seperately.
Guide is here: but i didn't test it, and not sure that it will work:
https:... | {} | Ftfyhh/OmniFusion-1.1-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-10T19:43:05+00:00 | [] | [] | TAGS
#gguf #region-us
| Original model:
URL
GGUF q5.
There is only the text part of LLM in this model files.
Visual part (projector) is not working. It needs to be converted to gguf seperately.
Guide is here: but i didn't test it, and not sure that it will work:
URL | [] | [
"TAGS\n#gguf #region-us \n"
] | [
9
] | [
"TAGS\n#gguf #region-us \n"
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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. -->
# finetuned-medical-device
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "finetuned-medical-device", "results": []}]} | Chetanindolia/finetuned-medical-device | null | [
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"base_model:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T19:43:14+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| finetuned-medical-device
========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the indian\_food\_images dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0083
* Accuracy: 1.0
Model description
-----------------
More information needed
Int... | [
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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. -->
# whisper-medium-ti
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-medium-ti", "results": []}]} | KevinKibe/whisper-medium-ti | null | [
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#peft #safetensors #generated_from_trainer #dataset-common_voice_16_1 #base_model-openai/whisper-medium #license-apache-2.0 #region-us
|
# whisper-medium-ti
This model is a fine-tuned version of openai/whisper-medium on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.9968
- eval_wer: 140.9091
- eval_runtime: 63.2529
- eval_samples_per_second: 0.063
- eval_steps_per_second: 0.016
- epoch: 99.01
-... | [
"# whisper-medium-ti\n\nThis model is a fine-tuned version of openai/whisper-medium on the common_voice_16_1 dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 3.9968\n- eval_wer: 140.9091\n- eval_runtime: 63.2529\n- eval_samples_per_second: 0.063\n- eval_steps_per_second: 0.016\n- epo... | [
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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": []} | soccerking/sn6_222 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T19:46:22+00:00 | [
"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #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. -->
# robust_llm_pythia-imdb-160m-mz-ada-v3-bs-8
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-imdb-160m-mz-ada-v3-bs-8", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-160m-mz-ada-v3-bs-8 | null | [
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"gpt_neox",
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"base_model:EleutherAI/pythia-160m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T19:46:56+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-imdb-160m-mz-ada-v3-bs-8
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-lr2e-7-margin-1-bs-32
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transfor... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-lr2e-7-margin-1-bs-32 | null | [
"sentence-transformers",
"safetensors",
"mpnet",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T19:47:46+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# luiz-and-robert-thesis/all-mpnet-lr2e-7-margin-1-bs-32
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [arcee-ai/llama_from_mistral_instruct_v2](https://huggingface.co... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["arcee-ai/llama_from_mistral_instruct_v2", "NousResearch/Llama-2-7b-chat-hf"]} | mergekit-community/gemma-gemma | null | [
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"text-generation-inference... | null | 2024-04-10T19:54:07+00:00 | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the task arithmetic merge method using arcee-ai/llama_from_mistral_instruct_v2 as a base.
### Models Merged
The following models were included in the merge:
* NousResearch/Ll... | [
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null | null |
<!-- 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. -->
# V0410MP7
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0410MP7", "results": []}]} | Litzy619/V0410MP7 | null | [
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"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0410MP7
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1585
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | null |
<!-- 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. -->
# V0410MP8
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0410MP8", "results": []}]} | Litzy619/V0410MP8 | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0410MP8
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1587
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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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": []} | ManiWavelabs/phi2_LoRA_128_256_10epochs | null | [
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|
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5
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# 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- Funde... |
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