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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_16_32_0.01_8_0.0002 | null | [
"transformers",
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"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-sem_eval-english
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-finetuned-sem_eval-english", "results": []}]} | ryan8/bert-finetuned-sem_eval-english | null | [
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-sem\_eval-english
================================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3546
* F1: 0.6228
* Roc Auc: 0.7406
* Accuracy: 0.2235
Model description
-----------------
More info... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\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 | 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-8
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-8", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-70m-mz-ada-v3-bs-8 | null | [
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|
# robust_llm_pythia-imdb-70m-mz-ada-v3-bs-8
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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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2_finetuned_40rows
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https:/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | mbona/Mistral-7B-Instruct-v0.2_finetuned_40rows | null | [
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| Mistral-7B-Instruct-v0.2\_finetuned\_40rows
===========================================
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: 0.9862
Model description
-----------------
More information... | [
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null | null |
# NikolayKozloff/Hermes-2-Pro-French-Q8_0-GGUF
This model was converted to GGUF format from [`paulml/Hermes-2-Pro-French`](https://huggingface.co/paulml/Hermes-2-Pro-French) 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](h... | {"language": ["en", "fr"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | NikolayKozloff/Hermes-2-Pro-French-GGUF | null | [
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|
# NikolayKozloff/Hermes-2-Pro-French-Q8_0-GGUF
This model was converted to GGUF format from 'paulml/Hermes-2-Pro-French' 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:
Se... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_16_64_0.01_2_0.0002 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | HaitingHW/Reinforce-CartPole-v1 | null | [
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# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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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": []} | liho00/sn9 | null | [
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robotics | null | # OPENSDETENN FIRST (proper) RELEASE
Optimal weights can be downloaded [here](https://huggingface.co/opensdetenn/resnet18_linear_v1/resolve/main/model_loss25.815643310546875_e64.pth?download=true)
Model was trained with 32 batch size, validated on a seperate dataset (the loss is the model name is the accuracy (it was ... | {"datasets": ["opensdetenn/idm_data"], "metrics": ["accuracy"], "pipeline_tag": "robotics"} | opensdetenn/resnet18_linear_v1 | null | [
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#robotics #dataset-opensdetenn/idm_data #region-us
| # OPENSDETENN FIRST (proper) RELEASE
Optimal weights can be downloaded here
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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
model = load_from_hub(repo_id="tro8/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slip... | {"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": ... | tro8/q-FrozenLake-v1-4x4-noSlippery | null | [
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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
model = load_from_hub(repo_id="tro8/q-FrozenLake-v1-4x4-noSlippery", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = URL... | [
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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": []} | unrented5443/364ibea | 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 | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_16_64_0.01_4_0.0002 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | shallow6414/79bjlxo | 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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- Language(s) (NLP):
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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="Ryu-m0m/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"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": ... | Ryu-m0m/q-FrozenLake-v1-4x4-noSlippery | null | [
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"q-learning",
"reinforcement-learning",
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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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] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_16_64_0.01_8_0.0002 | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw4.8 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
"### Fact-based Evaluation (Open LLM Leaderboard)",
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"### Performance on Preference (MT-Bench)\n\n\n!image/png",
"### Bilingual Ability (CMMLU & MMLU)\n\n\nName: Yi-9B-200K, MMLU: 65.73, CMMLU: 71.97\nName: Faro-Yi-9B, MMLU: 68.80, CMMLU: 73.28"... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/gpt2-large-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | 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. -->
# TaskA_bertbase_uncased
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model descri... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "TaskA_bertbase_uncased", "results": []}]} | dianamihalache27/TaskA_bertbase_uncased | null | [
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#transformers #safetensors #bert #generated_from_trainer #endpoints_compatible #region-us
|
# TaskA_bertbase_uncased
This model is a fine-tuned version of [](URL 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
The fol... | [
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"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Tra... | [
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text-generation | transformers |
<img src="https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/resolve/main/logo.png" alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Zephyr 141B-A39B
Zephyr is a series of language models that are trained to act as helpful assistants. ... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "inference": {"parameters": {"temperature": 0.7}}, "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}]} | HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1 | null | [
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Model Card for Zephyr 141B-A39B
===============================
Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr 141B-A39B is the latest model in the series, a... | [
"### Model Description\n\n\n* Model type: A Mixture of Experts (MoE) model with 141B total parameters and 39B active parameters. (We initially made a small error in calculating the number of active parameters for the model ID. The model card states the correct number.) Fine-tuned on a mix of publicly available, syn... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_32_32_0.01_2_0.0002 | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | This is an example model for embedding/extracting information in a llm. This model is for a challenge for an upcoming conference. The model will be available publicly after the conference. | {"language": ["en"], "datasets": ["wikipedia", "lewiswatson/flag_injected_wikipedia_sample"]} | lewiswatson/LeGPTour | null | [
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| This is an example model for embedding/extracting information in a llm. This model is for a challenge for an upcoming conference. The model will be available publicly after the conference. | [] | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_path = "Ebrahimaabdelghfar/Ubuntu_assistant_TinyLLama"
torch.backe... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | Ebrahimaabdelghfar/Ubuntu_assistant_TinyLLama | null | [
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"peft",
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#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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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. -->
# LED-Base-NSPCC
This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "allenai/led-base-16384", "model-index": [{"name": "LED-Base-NSPCC", "results": []}]} | scott156/LED-Base-NSPCC | null | [
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"generated_from_trainer",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #led #text2text-generation #generated_from_trainer #base_model-allenai/led-base-16384 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| LED-Base-NSPCC
==============
This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8152
* Rouge1: 0.4955
* Rouge2: 0.2131
* Rougel: 0.2804
* Rougelsum: 0.2807
* Gen Len: 267.3511
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\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=... | [
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question-answering | 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. -->
# no-pretraining-bert
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model descripti... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "no-pretraining-bert", "results": []}]} | noushsuon/no-pretraining-bert | null | [
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"safetensors",
"bert",
"question-answering",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T16:04:26+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #question-answering #generated_from_trainer #endpoints_compatible #region-us
|
# no-pretraining-bert
This model is a fine-tuned version of [](URL 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
The follow... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_32_32_0.01_4_0.0002 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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-16
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.c... | {"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-16", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-160m-mz-ada-v3-bs-16 | null | [
"transformers",
"safetensors",
"gpt_neox",
"text-classification",
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"base_model:EleutherAI/pythia-160m",
"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# robust_llm_pythia-imdb-160m-mz-ada-v3-bs-16
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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text-generation | null |
# NikolayKozloff/Magiq-3-Q4_0-GGUF
This model was converted to GGUF format from [`mymaia/Magiq-3`](https://huggingface.co/mymaia/Magiq-3) 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://huggingface.co/mymaia/Magiq-3... | {"language": ["en", "it", "fr"], "license": "apache-2.0", "tags": ["italian", "french", "nlp", "text-generation", "moe", "mixture of experts", "llama-cpp", "gguf-my-repo"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | NikolayKozloff/Magiq-3-Q4_0-GGUF | null | [
"gguf",
"italian",
"french",
"nlp",
"text-generation",
"moe",
"mixture of experts",
"llama-cpp",
"gguf-my-repo",
"en",
"it",
"fr",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
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"en",
"it",
"fr"
] | TAGS
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|
# NikolayKozloff/Magiq-3-Q4_0-GGUF
This model was converted to GGUF format from 'mymaia/Magiq-3' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can a... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | soiham/gemma-2b-finetuned-HAZOP | null | [
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"8-bit",
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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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- License... | [
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null | null |
## bark.cpp quantized models
This is the large variant https://huggingface.co/suno/bark
done using bark.cpp commit [964467c](https://github.com/PABannier/bark.cpp/commit/964467c9f752805a6f3777f1cc9bc7a665e79208)
I only uploaded f16, since f32 and other quantized models currently dont work.
| {"license": "mit", "tags": ["ggml", "bark.cpp", "quantized", "16-bit"], "base_model": "suno/bark", "quantized_by": "Green-Sky"} | Green-Sky/bark-ggml | null | [
"ggml",
"bark.cpp",
"quantized",
"16-bit",
"base_model:suno/bark",
"license:mit",
"region:us"
] | null | 2024-04-10T16:09:30+00:00 | [] | [] | TAGS
#ggml #bark.cpp #quantized #16-bit #base_model-suno/bark #license-mit #region-us
|
## URL quantized models
This is the large variant URL
done using URL commit 964467c
I only uploaded f16, since f32 and other quantized models currently dont work.
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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. -->
# falcon-7b-sharded-bf16-finetuned-html-code-generation
This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](ht... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "ybelkada/falcon-7b-sharded-bf16", "model-index": [{"name": "falcon-7b-sharded-bf16-finetuned-html-code-generation", "results": []}]} | narwaria/falcon-7b-sharded-bf16-finetuned-html-code-generation | null | [
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| falcon-7b-sharded-bf16-finetuned-html-code-generation
=====================================================
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2896
Model description
-----------------
Mor... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HikariLight/Mistral-SUFT-1-5e-05-3-all | null | [
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## Model Details
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_32_32_0.01_8_0.0002 | null | [
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# Model Card for Model ID
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null | null |
# LightChatAssistant-2x7B-optimized-experimental-GGUF
## 概要
[Aratako/LightChatAssistant-2x7B-optimized-experimental](https://huggingface.co/Aratako/LightChatAssistant-2x7B-optimized-experimental)の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | {"language": ["ja"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "nsfw"]} | Aratako/LightChatAssistant-2x7B-optimized-experimental-GGUF | null | [
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# LightChatAssistant-2x7B-optimized-experimental-GGUF
## 概要
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audio-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. -->
# violence-audio-Recognition-1277
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "violence-audio-Recognition-1277", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name... | Hemg/violence-audio-Recognition-1277 | null | [
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| violence-audio-Recognition-1277
===============================
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1281
* Accuracy: 0.9623
Model description
-----------------
More information needed
Intend... | [
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feature-extraction | 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": []} | Ehsanl/e5-base-wot-500 | null | [
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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"]} | luisvarona/Deteccion_sonido | null | [
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#fastai #region-us
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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null | null | Mizo tokenizer with the configuration of bert-base-uncased. Dataset used ia datav4 | {} | robzchhangte/tokenizer-datav4-bert-uncased | null | [
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_32_64_0.01_2_0.0002 | null | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw5 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
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- llm_int8_threshold: 6.0
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text2text-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": []} | astro21/pix2struct-base-Sci | 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:
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_32_64_0.01_4_0.0002 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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": []} | Aviral2412/wav2vec2-base-timit-demo-google-colab | 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 | null |
# ezrkllm-collection
Collection of LLMs compatible with Rockchip's chips using their rkllm-toolkit.
This repo contains the converted models for running on the RK3588 NPU found in SBCs like Orange Pi 5, NanoPi R6 and Radxa Rock 5.
Check the main repo on GitHub for how to install and use: https://github.com/Pelochus/e... | {"license": "mit", "tags": ["rockchip", "rk3588", "rkllm", "text-generation-inference"], "pipeline_tag": "text-generation"} | Pelochus/ezrkllm-collection | null | [
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#rockchip #rk3588 #rkllm #text-generation-inference #text-generation #license-mit #region-us
| ezrkllm-collection
==================
Collection of LLMs compatible with Rockchip's chips using their rkllm-toolkit.
This repo contains the converted models for running on the RK3588 NPU found in SBCs like Orange Pi 5, NanoPi R6 and Radxa Rock 5.
Check the main repo on GitHub for how to install and use: URL
Avail... | [] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_32_64_0.01_8_0.0002 | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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automatic-speech-recognition | ctranslate2 |
# Whisper distil-large-v3 model for CTranslate2
This repository contains the conversion of [marianbasti/distil-whisper-large-v3-es](https://huggingface.co/marianbasti/distil-whisper-large-v3-es/tree/main) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.
This model can be used in CTranslate2... | {"language": ["es"], "license": "mit", "library_name": "ctranslate2", "tags": ["audio", "automatic-speech-recognition"]} | Einstellung/faster-distil-whisper-large-v3-es | null | [
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"audio",
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"es",
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"es"
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#ctranslate2 #audio #automatic-speech-recognition #es #license-mit #region-us
|
# Whisper distil-large-v3 model for CTranslate2
This repository contains the conversion of marianbasti/distil-whisper-large-v3-es to the CTranslate2 model format.
This model can be used in CTranslate2.
## Conversion details
The original model was converted with the following command:
Note that the model weights... | [
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"## Conversion details\n\nThe original model was converted with the following command:\n\n\n\nNote that... | [
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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-base
This model is a fine-tuned version of [uitnlp/visobert](https://huggingface.co/uitnlp/visobe... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "uitnlp/visobert", "model-index": [{"name": "facebook-commet-classification-base", "results": []}]} | DuongTrongChi/facebook-commet-classification-base | null | [
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| facebook-commet-classification-base
===================================
This model is a fine-tuned version of uitnlp/visobert on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0642
* Accuracy: 0.9830
* F1: 0.9568
* Precision: 0.9441
* Recall: 0.9698
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-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"]} | prince-canuma/Mixtral-8x22B-v0.1-4bit | null | [
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| # 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 ... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Konstantinos/meltemi_songwriter
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "Konstantinos/meltemi_songwriter", "quantized_by": "mradermacher"} | mradermacher/meltemi_songwriter-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-Konstantinos/meltemi_songwriter #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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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_64_32_0.01_2_0.0002 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.0-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": "trl", "tags": ["SFT", "WeniGPT"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.0-SFT | null | [
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"base_model:mistralai/Mistral-7B-Instruct-v0.2",
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|
# Weni/WeniGPT-Agents-Mistral-1.0.0-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
... | [
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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": []} | JBERN29/code-search-net-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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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_64_32_0.01_4_0.0002 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
The files include MagicTime temporal lora merged into the animatediff v3 motion model, as well as their spatial lora converted to .safetensors format. Used together they work in ComfyUI and AnimatediffEvolved.
Original sources:
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https://huggingface.c... | {"license": "apache-2.0"} | Kijai/MagicTime-merged-fp16 | null | [
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The files include MagicTime temporal lora merged into the animatediff v3 motion model, as well as their spatial lora converted to .safetensors format. Used together they work in ComfyUI and AnimatediffEvolved.
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null | transformers |
# NikolayKozloff/Hebrew-Gemma-11B-V2-Q6_K-GGUF
This model was converted to GGUF format from [`yam-peleg/Hebrew-Gemma-11B-V2`](https://huggingface.co/yam-peleg/Hebrew-Gemma-11B-V2) 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 c... | {"language": ["en", "he"], "license": "other", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "license_name": "gemma-terms-of-use", "license_link": "https://ai.google.dev/gemma/terms"} | NikolayKozloff/Hebrew-Gemma-11B-V2-Q6_K-GGUF | null | [
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# NikolayKozloff/Hebrew-Gemma-11B-V2-Q6_K-GGUF
This model was converted to GGUF format from 'yam-peleg/Hebrew-Gemma-11B-V2' 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:
... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw5.5 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_64_32_0.01_8_0.0002 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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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-500
This model is a fine-tuned version of [meta-llama/LlamaGuard-7b](https://huggingface.co/meta-llama... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/LlamaGuard-7b", "model-index": [{"name": "llama-guard-finetuned-1ep-500", "results": []}]} | anuvab/llama-guard-finetuned-1ep-500 | null | [
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|
# llama-guard-finetuned-1ep-500
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
### Training... | [
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visual-question-answering | transformers | # FaVQA - Fashion-related Visual Question Answering
<!-- Provide a quick summary of what the model is/does. -->
### Summary
Finetuning a Vision-and-Language Pre-training (VLP) model for a fashion-related downstream task, Visual Question Answering (VQA). The related model, ViLT, was proposed in [ViLT: Vision-and-Lang... | {"license": "mit", "tags": ["visual-question-answering"], "widget": [{"text": "what fabric is the lower cloth made of?", "src": "https://assets.myntassets.com/v1/images/style/properties/7a5b82d1372a7a5c6de67ae7a314fd91_images.jpg"}, {"text": "is there a hat worn?", "src": "https://assets.myntassets.com/v1/images/style/... | yanka9/vilt_finetuned_deepfashionVQA_v2 | null | [
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| # FaVQA - Fashion-related Visual Question Answering
### Summary
Finetuning a Vision-and-Language Pre-training (VLP) model for a fashion-related downstream task, Visual Question Answering (VQA). The related model, ViLT, was proposed in ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision a... | [
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audio-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. -->
# pingpong-music_genres_classification-finetuned-finetuned-gtzan
This model is a fine-tuned version of [yus988/pingpong-music_genr... | {"tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "yus988/pingpong-music_genres_classification-finetuned", "model-index": [{"name": "pingpong-music_genres_classification-finetuned-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Au... | mratet/pingpong-music_genres_classification-finetuned-finetuned-gtzan | null | [
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| pingpong-music\_genres\_classification-finetuned-finetuned-gtzan
================================================================
This model is a fine-tuned version of yus988/pingpong-music\_genres\_classification-finetuned on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.317... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_64_64_0.01_2_0.0002 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/cognitivecomputations/based-30b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/based-30b... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["ehartford/based"], "base_model": "cognitivecomputations/based-30b", "quantized_by": "mradermacher"} | mradermacher/based-30b-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"dataset:ehartford/based",
"base_model:cognitivecomputations/based-30b",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T16:43:56+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #dataset-ehartford/based #base_model-cognitivecomputations/based-30b #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #dataset-ehartford/based #base_model-cognitivecomputations/based-30b #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #gguf #en #dataset-ehartford/based #base_model-cognitivecomputations/based-30b #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/RaduGabriel/MistralMusic2.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "RaduGabriel/MistralMusic", "mistralai/Mistral-7B-Instruct-v0.2"], "base_model": "RaduGabriel/MistralMusic2.0", "quantized_by": "mradermacher"} | mradermacher/MistralMusic2.0-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"RaduGabriel/MistralMusic",
"mistralai/Mistral-7B-Instruct-v0.2",
"en",
"base_model:RaduGabriel/MistralMusic2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T16:44:50+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #RaduGabriel/MistralMusic #mistralai/Mistral-7B-Instruct-v0.2 #en #base_model-RaduGabriel/MistralMusic2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #RaduGabriel/MistralMusic #mistralai/Mistral-7B-Instruct-v0.2 #en #base_model-RaduGabriel/MistralMusic2.0 #endpoints_compatible #region-us \n"
] | [
73
] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #RaduGabriel/MistralMusic #mistralai/Mistral-7B-Instruct-v0.2 #en #base_model-RaduGabriel/MistralMusic2.0 #endpoints_compatible #region-us \n"
] |
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="Ryu-m0m/q-FrozenLake-v1-4x4-Slippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attri... | {"tags": ["FrozenLake-v1-4x4", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-Slippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4", "type": "FrozenLake-v1-4x4"}, "met... | Ryu-m0m/q-FrozenLake-v1-4x4-Slippery | null | [
"FrozenLake-v1-4x4",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-10T16:47:21+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4 #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
| [
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] | [
"TAGS\n#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
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"TAGS\n#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] |
text-generation | transformers | If you Download Here it means you abide by googles licence and policy about GEMMA. | {"license": "gemma"} | aless2212/codegemma-7b-it-openvino-int4-cpu | null | [
"transformers",
"openvino",
"gemma",
"text-generation",
"conversational",
"license:gemma",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T16:47:29+00:00 | [] | [] | TAGS
#transformers #openvino #gemma #text-generation #conversational #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| If you Download Here it means you abide by googles licence and policy about GEMMA. | [] | [
"TAGS\n#transformers #openvino #gemma #text-generation #conversational #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
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"TAGS\n#transformers #openvino #gemma #text-generation #conversational #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_64_64_0.01_4_0.0002 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T16:48:22+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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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": []} | tomaszki/stablelm-21 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T16:49:22+00:00 | [
"1910.09700"
] | [] | TAGS
#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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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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. -->
# outputs-compliant-reasoning
This model is a fine-tuned version of [dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978](https:... | {"tags": ["alignment-handbook", "trl", "sft", "unsloth", "generated_from_trainer", "trl", "sft", "unsloth", "generated_from_trainer", "unsloth"], "datasets": ["dynamofl/trai-toxicity-v3"], "base_model": "dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978", "model-index": [{"name": "outputs-compliant-reasoning", "res... | tosh97/outputs-compliant-reasoning | null | [
"transformers",
"safetensors",
"llama",
"text-classification",
"alignment-handbook",
"trl",
"sft",
"unsloth",
"generated_from_trainer",
"dataset:dynamofl/trai-toxicity-v3",
"base_model:dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978",
"autotrain_compatible",
"endpoints_compatible",
"... | null | 2024-04-10T16:51:15+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-classification #alignment-handbook #trl #sft #unsloth #generated_from_trainer #dataset-dynamofl/trai-toxicity-v3 #base_model-dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| outputs-compliant-reasoning
===========================
This model is a fine-tuned version of dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978 on the dynamofl/trai-toxicity-v3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2050
Model description
-----------------
More informati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam wi... | [
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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... | sm226/PPO-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-10T16:51:37+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
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] |
null | null |
Original SDXL version https://huggingface.co/tori29umai/SDXL_shadow
Lora generating images in the Normal map style.
sd version : SD 1.5
You can use controlnet like Canny, lineart, Softedge, etc. to create Normal maps with just lineart.
Add 'normal map, 3d' to the prompt.
![image/png](https://cdn-uploads.huggingf... | {} | toyxyz/Line2NormalMap_SD1.5 | null | [
"region:us"
] | null | 2024-04-10T16:52:33+00:00 | [] | [] | TAGS
#region-us
|
Original SDXL version URL
Lora generating images in the Normal map style.
sd version : SD 1.5
You can use controlnet like Canny, lineart, Softedge, etc. to create Normal maps with just lineart.
Add 'normal map, 3d' to the prompt.
!image/png
<video controls autoplay src="URL
<video controls autoplay src="URL
| [] | [
"TAGS\n#region-us \n"
] | [
5
] | [
"TAGS\n#region-us \n"
] |
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": []} | tomaszki/stablelm-21-a | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T16:52:44+00:00 | [
"1910.09700"
] | [] | TAGS
#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... | [
"# Model Card for Model ID",
"## Model Details",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_64_64_0.01_8_0.0002 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T16:53:11+00:00 | [
"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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"## Model Details",
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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": "meta-llama/Llama-2-7b-chat-hf"} | VH1213141516/LAT_4-10sweep1_epsilon_1.0_time_limit_30000_N_checkpoints_50 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-10T16:53:15+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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# Model Card for Model ID
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"region:us... | null | 2024-04-10T16:55:37+00:00 | [
"2303.08774"
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#transformers #safetensors #llama #text-generation #conversational #zh #en #dataset-wenbopan/Fusang-v1 #dataset-wenbopan/OpenOrca-zh-20k #arxiv-2303.08774 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us
| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
"### Fact-based Evaluation (Open LLM Leaderboard)",
"### Long-context Modeling (LongBench)\n\n\n\n\nScore breakdown",
"### Performance on Preference (MT-Bench)\n\n\n!image/png",
"### Bilingual Ability (CMMLU & MMLU)\n\n\nName: Yi-9B-200K, MMLU: 65.73, CMMLU: 71.97\nName: Faro-Yi-9B, MMLU: 68.80, CMMLU: 73.28"... | [
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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="Ryu-m0m/Taxi-v3", 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-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | Ryu-m0m/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-10T16:55:43+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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] |
text-generation | 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. -->
# tinyllama-finetuned
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["IvanD2002/Task_Dataset_Instruct_Format"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "pipeline_tag": "text-generation", "model-index": [{"name": "tinyllama-finetuned", "results": []}]} | IvanD2002/tinyllama-finetuned | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"text-generation",
"conversational",
"dataset:IvanD2002/Task_Dataset_Instruct_Format",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"license:apache-2.0",
"region:us"
] | null | 2024-04-10T16:56:40+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #text-generation #conversational #dataset-IvanD2002/Task_Dataset_Instruct_Format #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #region-us
|
# tinyllama-finetuned
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 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... | [
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"## Training and evaluation data\n\nMore information needed",
"## Traini... | [
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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": "meta-llama/Llama-2-7b-chat-hf"} | Juliofc/chaterapia_llama_model | null | [
"peft",
"safetensors",
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"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
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"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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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": []} | IndraneelKumar/LegalisPhi | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Model type:
- Language(s) (NLP):
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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. -->
# results
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the legal_summarizati... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["legal_summarization"], "base_model": "microsoft/phi-2", "model-index": [{"name": "results", "results": []}]} | IndraneelKumar/results | null | [
"peft",
"safetensors",
"generated_from_trainer",
"dataset:legal_summarization",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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#peft #safetensors #generated_from_trainer #dataset-legal_summarization #base_model-microsoft/phi-2 #license-mit #region-us
|
# results
This model is a fine-tuned version of microsoft/phi-2 on the legal_summarization dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
"# results\n\nThis model is a fine-tuned version of microsoft/phi-2 on the legal_summarization dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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null | null | Movefix viên con nhộng là gì?
Movefix máy tính bảng là một công thức tiên tiến được chế tạo tỉ mỉ để hỗ trợ sức khỏe khớp. Nó bao gồm sự pha trộn của các thành phần được hỗ trợ khoa học nhằm mục đích thúc đẩy tính linh hoạt, khả năng vận động và sự thoải mái ở khớp. Cho dù bạn là một vận động viên đang tìm kiếm thành ... | {"license": "apache-2.0"} | Movefix/Movefix-Vietnam | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-10T17:01:52+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Movefix viên con nhộng là gì?
Movefix máy tính bảng là một công thức tiên tiến được chế tạo tỉ mỉ để hỗ trợ sức khỏe khớp. Nó bao gồm sự pha trộn của các thành phần được hỗ trợ khoa học nhằm mục đích thúc đẩy tính linh hoạt, khả năng vận động và sự thoải mái ở khớp. Cho dù bạn là một vận động viên đang tìm kiếm thành ... | [] | [
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13
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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-14m-mz-ada-v3-bs-4
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/E... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-imdb-14m-mz-ada-v3-bs-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-14m-mz-ada-v3-bs-4 | null | [
"transformers",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T17:02:25+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-imdb-14m-mz-ada-v3-bs-4
This model is a fine-tuned version of EleutherAI/pythia-14m 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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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2 | null | [
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"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T17:05:44+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.5 | null | [
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"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T17:06:00+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-3.0 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T17:06:11+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
] | [
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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": []} | Emarhnuel/idefics-9b-Pokemon_Cards_Models | 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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zero-shot-image-classification | transformers |
# Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found [here](https://github.com/openai/CLIP/blob/main/model-card.md).
## Model Details
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer visi... | {"tags": ["vision"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png", "candidate_labels": "playing music, playing sports", "example_title": "Cat & Dog"}]} | krnl/clip-vit-large-patch14 | null | [
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|
# Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found here.
## Model Details
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision tasks. The model was also developed to test the ability... | [
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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. -->
# long-t5-local-base-finetuned-justification-v07
This model is a fine-tuned version of [google/long-t5-local-base](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/long-t5-local-base", "model-index": [{"name": "long-t5-local-base-finetuned-justification-v07", "results": []}]} | satyanshu404/long-t5-local-base-finetuned-justification-v07 | null | [
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| long-t5-local-base-finetuned-justification-v07
==============================================
This model is a fine-tuned version of google/long-t5-local-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8118
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\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-generation | transformers |
# CodeGemma
Model Page
: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma)
Resources and Technical Documentation
: [Technical Report](https://goo.gle/codegemma)
: [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
Terms of Use
: [Terms](https://ai.google.dev/gemma/terms)
Authors
: Google
... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click b... | aless2212/codegemma-7b-it-onnx-fp16 | null | [
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| CodeGemma
=========
Model Page
: CodeGemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
Model Information
-----------------
Summary description and brief definition of inputs and outputs.
### Description
CodeGemma is a... | [
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text-generation | transformers |
# openhathi-sql-finetuned
This model is a fine-tuned version of [sarvamai/OpenHathi-7B-Hi-v0.1-Base](https://huggingface.co/sarvamai/OpenHathi-7B-Hi-v0.1-Base) on ekshat/text-2-sql-with-context dataset.
It achieves the following results on the evaluation set:
- Training Loss: 0.4696 | {"language": ["hi", "en"], "datasets": ["ekshat/text-2-sql-with-context"], "pipeline_tag": "text-generation"} | adityarao1612/openhathi-sql-finetuned | null | [
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] | null | 2024-04-10T17:16:46+00:00 | [] | [
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|
# openhathi-sql-finetuned
This model is a fine-tuned version of sarvamai/OpenHathi-7B-Hi-v0.1-Base on ekshat/text-2-sql-with-context dataset.
It achieves the following results on the evaluation set:
- Training Loss: 0.4696 | [
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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": ["unsloth", "trl", "sft"]} | codingwithlewis/mistralmeme | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | Sasha177117/gpt_model | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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