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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/ag_news_gpt2-xl_seed-3 | 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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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": []} | ssrockz48p4/phi2b-gita-asitis | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | utahnlp/ag_news_t5-small_seed-1 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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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![Twitter](URL
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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": []} | utahnlp/ag_news_t5-small_seed-2 | null | [
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text-generation | transformers |
# TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/TableLLM/TableLLM)** | **[Homepage](https://tablellm.github.io/)** | *... | {"language": ["en"], "license": "llama2", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"]} | blockblockblock/TableLLM-13b-bpw3 | null | [
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| TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
===================================================================================
| Paper | Training set | Github | Homepage | Platform |
We present TableLLM, a powerful large language model designed to handle tabular data manipul... | [
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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": []} | utahnlp/ag_news_t5-small_seed-3 | null | [
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## Model Details
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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... | thuanan/PPO-LunarLander-v2-base | null | [
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|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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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": []} | utahnlp/ag_news_t5-base_seed-1 | null | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### 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": []} | utahnlp/ag_news_t5-base_seed-2 | null | [
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text-generation | transformers |
# CatNyanster-7b
CatNyanster-7b beeg cat.
Merging arlineka/KittyNyanster-v1 to a good math performance model. It enhanced the math and some other categories, but it decreases the code aspect. | {"tags": ["merge"]} | arlineka/CatNyanster-7b | null | [
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|
# CatNyanster-7b
CatNyanster-7b beeg cat.
!image/png
Merging arlineka/KittyNyanster-v1 to a good math performance model. It enhanced the math and some other categories, but it decreases the code aspect. | [
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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": []} | utahnlp/ag_news_t5-base_seed-3 | 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 | mlx |
# mlx-community/Vikhr-7B-instruct_0.2-4bit
This model was converted to MLX format from [`Vikhrmodels/Vikhr-7B-instruct_0.2`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/Vikhrmodels/Vikhr-7B-instruct_0.2) for more details on the model.
## Use with mlx
```bash
pip install... | {"language": ["ru", "en"], "tags": ["mlx"], "datasets": ["zjkarina/Vikhr_instruct", "dichspace/darulm"]} | mlx-community/Vikhr-7B-instruct_0.2-4bit | null | [
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|
# mlx-community/Vikhr-7B-instruct_0.2-4bit
This model was converted to MLX format from ['Vikhrmodels/Vikhr-7B-instruct_0.2']() using mlx-lm version 0.6.0.
Refer to the original model card for more details on the model.
## Use with mlx
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# AraBERT_token_classification__AraEval24_truncated
This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://h... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "AraBERT_token_classification__AraEval24_truncated", "results": []}]} | MM2157/AraBERT_token_classification__AraEval24_truncated | null | [
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| AraBERT\_token\_classification\_\_AraEval24\_truncated
======================================================
This model is a fine-tuned version of aubmindlab/bert-base-arabert on the None dataset.
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* Loss: 1.7905
* Precision: 0.2295
* Recall: 0.1820
* F1: 0.2... | [
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text-generation | transformers |
<center><img src='https://i.imgur.com/dU9dUh0.png' width='500px'></center>
# Maxine-34B-stock
Maxine-34B-stock is a merge of the following models:
**04-07-2024 - To date, louisbrulenaudet/Maxine-34B-stock is the "Best 🤝 base merges and moerges model of around 30B" on the Open LLM Leaderboard.**
## Configuration
... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "ConvexAI/Luminex-34B-v0.2", "fblgit/UNA-34BeagleSimpleMath-32K-v1", "chemistry", "biology", "math"], "pipeline_tag": "text-generation", "base_model": ["ConvexAI/Luminex-34B-v0.2", "fblgit/UNA-34BeagleSimpleMath-... | louisbrulenaudet/Maxine-34B-stock | null | [
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<center><img src='https://i.URL width='500px'></center>
# Maxine-34B-stock
Maxine-34B-stock is a merge of the following models:
04-07-2024 - To date, louisbrulenaudet/Maxine-34B-stock is the "Best base merges and moerges model of around 30B" on the Open LLM Leaderboard.
## Configuration
## Usage
## Citing &... | [
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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": []} | utahnlp/ag_news_t5-large_seed-1 | null | [
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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": []} | utahnlp/ag_news_t5-large_seed-2 | null | [
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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["de"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-de-bloom-7b1 | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
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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": []} | utahnlp/ag_news_t5-large_seed-3 | null | [
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"t5",
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# Model Card for Model ID
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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/Nondzu-zephyr-speakleash-010-pl-3072-32-16-0.01-bnb-4bit-smashed | null | [
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"region:us"
] | null | 2024-04-04T20:13:50+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<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;">
</a>
</div>
![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... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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image-classification | null |
# Fashion-MNIST Baseline Classifier
## Model Details
- **Model Name:** fashion-mnist-base
- **Framework:** Custom implementation in Python
- **Version:** 0.1
- **License:** Apache-2.0
## Model Description
This is a neural network model developed from the ground up to classify images from the Fashion-MNIST dataset.... | {"language": ["en"], "license": "apache-2.0", "datasets": ["fashion_mnist"], "metrics": ["accuracy"], "pipeline_tag": "image-classification"} | dcarpintero/fashion-mnist-base | null | [
"image-classification",
"en",
"dataset:fashion_mnist",
"license:apache-2.0",
"region:us"
] | null | 2024-04-04T20:14:05+00:00 | [] | [
"en"
] | TAGS
#image-classification #en #dataset-fashion_mnist #license-apache-2.0 #region-us
| Fashion-MNIST Baseline Classifier
=================================
Model Details
-------------
* Model Name: fashion-mnist-base
* Framework: Custom implementation in Python
* Version: 0.1
* License: Apache-2.0
Model Description
-----------------
This is a neural network model developed from the ground up to cl... | [
"### Architecture Details:\n\n\n* Input layer: 784 neurons (flattened 28x28 image)\n* Hidden layer 1: 256 neurons, ReLU activation, Dropout\n* Hidden layer 2: 64 neurons, ReLU activation, Dropout\n* Output layer: 10 neurons, logits",
"### Hyperparameters:\n\n\n* Learning rate: 0.005\n* Batch size: 32\n* Epochs: 2... | [
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text-generation | null |
# RWKV-6 World
Use rwkv pip package 0.8.24+ for RWKV-6 inference: https://pypi.org/project/rwkv/ (pipeline = PIPELINE(model, "rwkv_vocab_v20230424") for rwkv-world models)
Online Demo 1: https://huggingface.co/spaces/BlinkDL/RWKV-Gradio-2
Online Demo 2: https://huggingface.co/spaces/BlinkDL/RWKV-Gradio-1
GUI: http... | {"language": ["en", "zh", "fr", "es", "de", "pt", "ru", "it", "ja", "ko", "vi", "ar"], "license": "apache-2.0", "tags": ["pytorch", "text-generation", "causal-lm", "rwkv"], "datasets": ["cerebras/SlimPajama-627B", "EleutherAI/pile", "bigcode/starcoderdata", "oscar-corpus/OSCAR-2301"]} | SmerkyG/rwkv-6-world-all-pth | null | [
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... | null | 2024-04-04T20:14:34+00:00 | [] | [
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|
# RWKV-6 World
Use rwkv pip package 0.8.24+ for RWKV-6 inference: URL (pipeline = PIPELINE(model, "rwkv_vocab_v20230424") for rwkv-world models)
Online Demo 1: URL
Online Demo 2: URL
GUI: URL (see Releases)
For developer: URL
URL
How it works: URL
URL
## Model Description
RWKV-6 trained on 100+ world languag... | [
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text-generation | null |
# RWKV-5 World
Use rwkv pip package 0.8.22+ for RWKV-5 inference: https://pypi.org/project/rwkv/ (pipeline = PIPELINE(model, "rwkv_vocab_v20230424") for rwkv-world models)
Online 7B Demo: https://huggingface.co/spaces/BlinkDL/RWKV-Gradio-2
Online 1.5B Demo: https://huggingface.co/spaces/BlinkDL/RWKV-Gradio-1
GUI: ... | {"language": ["en", "zh", "fr", "es", "de", "pt", "ru", "it", "ja", "ko", "vi", "ar"], "license": "apache-2.0", "tags": ["pytorch", "text-generation", "causal-lm", "rwkv"], "datasets": ["cerebras/SlimPajama-627B", "EleutherAI/pile", "bigcode/starcoderdata", "oscar-corpus/OSCAR-2301"]} | SmerkyG/rwkv-5-world-all-pth | null | [
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|
# RWKV-5 World
Use rwkv pip package 0.8.22+ for RWKV-5 inference: URL (pipeline = PIPELINE(model, "rwkv_vocab_v20230424") for rwkv-world models)
Online 7B Demo: URL
Online 1.5B Demo: URL
GUI: URL (see Releases)
Convert to HF formet: URL
For developer: URL
URL
How it works: URL
URL
## Model Description
RWKV-... | [
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text-generation | transformers |
---
base_model: /Users/dawn/git/models/Silicon-Maid-7B
gate_mode: hidden # one of "hidden", "cheap_embed", or "random"
dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
experts:
- source_model: /Users/dawn/git/models/Silicon-Maid-7B
positive_prompts:... | {"license": "apache-2.0"} | dawn17/MaidStarling-2x7B-base | null | [
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#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
---
```
base_model: /Users/dawn/git/models/Silicon-Maid-7B
gate_mode: hidden # one of "hidden", "cheap_embed", or "random"
dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
experts:
- source_model: /Users/dawn/git/models/Silicon-Maid-7B
positive_prompts:
- "ro... | [
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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.
| {"license": "apache-2.0"} | GreenBitAI/Mistral-7B-v0.1-channel-mix-bpw-2.2 | null | [
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#transformers #safetensors #mistral #text-generation #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.
| [
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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": []} | utahnlp/ag_news_t5-3b_seed-1 | null | [
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
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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": []} | utahnlp/ag_news_t5-3b_seed-2 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - Angad23/luffy_LoRA
<Gallery />
## Model description
These are Angad23/luffy_LoRA LoRA adaption... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of TOK Luffy", "... | Angad23/luffy_LoRA | null | [
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"license:openrail++",
"region:us"
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|
# SDXL LoRA DreamBooth - Angad23/luffy_LoRA
<Gallery />
## Model description
These are Angad23/luffy_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdx... | [
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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": []} | utahnlp/ag_news_t5-3b_seed-3 | null | [
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- 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)... | [
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null | diffusers |
# Mann-E Turbo
This is a part of _Mann-E Community Edition_ models. This model is a basic implementation of [Mann-E](https://mann-e.com)'s original model (which is not Stable Diffusion anymore) as a LoRa for SDXL. Since the whole business of Mann-E started around SD ecosystem, we've decided to release our LoRa for SD... | {"language": ["en"], "license": "mit", "library_name": "diffusers"} | mann-e/Mann-E_Turbo | null | [
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# Mann-E Turbo
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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-en-bloom-7b1 | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
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text-generation | transformers |
# TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/TableLLM/TableLLM)** | **[Homepage](https://tablellm.github.io/)** | *... | {"language": ["en"], "license": "llama2", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"]} | blockblockblock/TableLLM-13b-bpw3.5 | null | [
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| TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
===================================================================================
| Paper | Training set | Github | Homepage | Platform |
We present TableLLM, a powerful large language model designed to handle tabular data manipul... | [
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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": []} | utahnlp/ag_news_t5-11b_seed-1 | null | [
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|
# Model Card for Model ID
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-finetuned
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It a... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-finetuned", "results": []}]} | Pushparaj20/t5-small-finetuned | null | [
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| t5-small-finetuned
==================
This model is a fine-tuned version of t5-small on an unknown dataset.
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* Loss: 0.4379
* Rouge1: 90.6092
* Rouge2: 83.4758
* Rougel: 90.5852
* Rougelsum: 90.5876
* Gen Len: 14.4013
Model description
-----------------
Mo... | [
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text-to-audio | transformers |
# MusicGen - Stereo - Medium - 1.5B
We further release a set of stereophonic capable models. Those were fine tuned for 200k updates starting
from the mono models. The training data is otherwise identical and capabilities and limitations are shared with the base modes. The stereo models work by getting 2 streams of to... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["musicgen", "audiocraft"], "inference": true, "pipeline_tag": "text-to-audio", "widget": [{"text": "a funky house with 80s hip hop vibes", "example_title": "Prompt 1"}, {"text": "a chill song with influences from lofi, chillstep and downtempo", "examp... | omarimc/musicgen-stereo-medium | null | [
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| MusicGen - Stereo - Medium - 1.5B
=================================
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text-to-audio | transformers |
# MusicGen - Stereo - Large - 3.3B
We further release a set of stereophonic capable models. Those were fine tuned for 200k updates starting
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| MusicGen - Stereo - Large - 3.3B
================================
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_roberta-base_seed-1 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_roberta-base_seed-2 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_roberta-base_seed-3 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_roberta-large_seed-1 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
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text-classification | transformers |
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null | transformers |
# Info
Remake of v4 with the new merge method.
Very intersting model, works well with smooth sampling 0.25 and minP 0.075
ChatML and Alpaca
# Irene-RP-v5-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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text-classification | transformers |
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should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-1b-mz-advt-v0-ts-20000-s-2
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-tt-1b-mz-advt-v0-ts-20000-s-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-1b-mz-advt-v0-ts-20000-s-2 | null | [
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"autotrain_compatible",
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|
# robust_llm_pythia-tt-1b-mz-advt-v0-ts-20000-s-2
This model is a fine-tuned version of EleutherAI/pythia-1b 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-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_facebook_opt-1.3b_seed-1 | 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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text-generation | transformers |
# TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/TableLLM/TableLLM)** | **[Homepage](https://tablellm.github.io/)** | *... | {"language": ["en"], "license": "llama2", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"]} | blockblockblock/TableLLM-13b-bpw3.7 | null | [
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| TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
===================================================================================
| Paper | Training set | Github | Homepage | Platform |
We present TableLLM, a powerful large language model designed to handle tabular data manipul... | [
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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-tt-1b-mz-advt-v0-ts-2000-s-1
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-tt-1b-mz-advt-v0-ts-2000-s-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-1b-mz-advt-v0-ts-2000-s-1 | null | [
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|
# robust_llm_pythia-tt-1b-mz-advt-v0-ts-2000-s-1
This model is a fine-tuned version of EleutherAI/pythia-1b 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 |
# 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": []} | OwOOwO/here_we_go_again7 | 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 |
# mlx-community/c4ai-command-r-plus-4bit
This model was converted to MLX format from [`CohereForAI/c4ai-command-r-plus`]() using mlx-lm version **0.4.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/CohereForAI/c4ai-command-r-plus) for ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mlx"]} | mlx-community/c4ai-command-r-plus-4bit | null | [
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|
# mlx-community/c4ai-command-r-plus-4bit
This model was converted to MLX format from ['CohereForAI/c4ai-command-r-plus']() using mlx-lm version 0.4.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
## Tool use ️
<details>
<summary><b> Prompt [CLI... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_facebook_opt-1.3b_seed-2 | 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 | mlx |
# mlx-community/Vikhr-7B-instruct_0.2-fp16
This model was converted to MLX format from [`Vikhrmodels/Vikhr-7B-instruct_0.2`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/Vikhrmodels/Vikhr-7B-instruct_0.2) for more details on the model.
## Use with mlx
```bash
pip install... | {"language": ["ru", "en"], "tags": ["mlx"], "datasets": ["zjkarina/Vikhr_instruct", "dichspace/darulm"]} | mlx-community/Vikhr-7B-instruct_0.2-fp16 | null | [
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|
# mlx-community/Vikhr-7B-instruct_0.2-fp16
This model was converted to MLX format from ['Vikhrmodels/Vikhr-7B-instruct_0.2']() using mlx-lm version 0.6.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers | # FimbulHermes-15B-v0.1
This is a merge of two of the best [SOLAR](https://huggingface.co/upstage/SOLAR-10.7B-v1.0) derivatives, created using [mergekit](https://github.com/cg123/mergekit).
The model is stable and expressive, but has not been thoroughly evaluated.
## Merge Details
### Merge Method
This model was me... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Nous-Hermes-2-SOLAR-10.7B", "Sao10K/Fimbulvetr-11B-v2"]} | steinzer-narayan/fimbulhermes-15B-v0.1 | null | [
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| # FimbulHermes-15B-v0.1
This is a merge of two of the best SOLAR derivatives, created using mergekit.
The model is stable and expressive, but has not been thoroughly evaluated.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
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text-generation | transformers | # [MaziyarPanahi/M7Yamshadowexperiment28-7B-GGUF](https://huggingface.co/MaziyarPanahi/M7Yamshadowexperiment28-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
## Description... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:liminerity/M7-7b", "base_model:automerger/YamshadowExperiment28-7B", "license:apache-2.0", "autotrain_compatibl... | MaziyarPanahi/M7Yamshadowexperiment28-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/M7Yamshadowexperiment28-7B
## Description
MaziyarPanahi/M7Yamshadowexperiment28-7B-GGUF contains GGUF format model files for automerger/M7Yamshadowexperiment28-7B.
## How to use
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text-generation | transformers | # Description
[MaziyarPanahi/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GPTQ](https://huggingface.co/MaziyarPanahi/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GPTQ) is a quantized (GPTQ) version of [yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B](https://huggingface.co/yunconglong/Truthful_DPO_TomGrc_FusionNet_7... | {"license": "apache-2.0", "tags": ["finetuned", "quantized", "4-bit", "gptq", "transformers", "safetensors", "mixtral", "text-generation", "moe", "DPO", "RL-TUNED", "license:mit", "autotrain_compatible", "endpoints_compatible", "has_space", "text-generation-inference", "region:us"], "model_name": "Truthful_DPO_TomGrc_F... | MaziyarPanahi/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GPTQ | null | [
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| # Description
MaziyarPanahi/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GPTQ is a quantized (GPTQ) version of yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
## How to use
### Install the necessary packages
### Example Python code
| [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_facebook_opt-1.3b_seed-3 | 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:
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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![Twitter](URL
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null | transformers | ## About
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nitky/Swallow-70b-RP
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Swallow-70b-RP-i1-GGUF
## Usage
If you are unsure ho... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "nitky/Swallow-70b-RP", "model_type": "llama", "quantized_by": "mradermacher"} | mradermacher/Swallow-70b-RP-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | null |
## Llamacpp Quantizations of Young-Children-Storyteller-Mistral-7B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2589">b2589</a> for quantization.
Original model: https://huggingface.co/ajibawa-2023/Young-Children-Storytell... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "young children", "educational", "knowledge"], "datasets": ["ajibawa-2023/Children-Stories-Collection"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Young-Children-Storyteller-Mistral-7B-GGUF | null | [
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| Llamacpp Quantizations of Young-Children-Storyteller-Mistral-7B
---------------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Download a file (not the whole branch) from below:
Want to support my work? Visit my ko-fi page here: URL... | [] | [
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text-generation | null |
## Exllama v2 Quantizations of Young-Children-Storyteller-Mistral-7B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.17">turboderp's ExLlamaV2 v0.0.17</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "young children", "educational", "knowledge"], "datasets": ["ajibawa-2023/Children-Stories-Collection"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Young-Children-Storyteller-Mistral-7B-exl2 | null | [
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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/ahxt-LiteLlama-460M-1T-bnb-4bit-smashed | null | [
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<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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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["fi"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-fi-bloom-7b1 | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | alexgulliver/dqn-SpaceInvadersNoFrameskip | null | [
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"deep-reinforcement-learning",
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_facebook_opt-2.7b_seed-1 | null | [
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"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T20:53:54+00:00 | [
"1910.09700"
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#transformers #safetensors #opt #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/digitous/Alpacino13b
<!-- provided-files -->
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, ... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["alpaca"], "base_model": "digitous/Alpacino13b", "quantized_by": "mradermacher"} | mradermacher/Alpacino13b-GGUF | null | [
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"base_model:digitous/Alpacino13b",
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"en"
] | TAGS
#transformers #gguf #alpaca #en #base_model-digitous/Alpacino13b #license-other #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 | mlx |
# mlx-community/Vikhr-7B-instruct_0.2-8bit
This model was converted to MLX format from [`Vikhrmodels/Vikhr-7B-instruct_0.2`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/Vikhrmodels/Vikhr-7B-instruct_0.2) for more details on the model.
## Use with mlx
```bash
pip install... | {"language": ["ru", "en"], "tags": ["mlx"], "datasets": ["zjkarina/Vikhr_instruct", "dichspace/darulm"]} | mlx-community/Vikhr-7B-instruct_0.2-8bit | null | [
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"safetensors",
"llama",
"ru",
"en",
"dataset:zjkarina/Vikhr_instruct",
"dataset:dichspace/darulm",
"region:us"
] | null | 2024-04-04T20:55:59+00:00 | [] | [
"ru",
"en"
] | TAGS
#mlx #safetensors #llama #ru #en #dataset-zjkarina/Vikhr_instruct #dataset-dichspace/darulm #region-us
|
# mlx-community/Vikhr-7B-instruct_0.2-8bit
This model was converted to MLX format from ['Vikhrmodels/Vikhr-7B-instruct_0.2']() using mlx-lm version 0.6.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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": []} | chohi/llama-2-7b-chat-molit-kor | null | [
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"text-generation",
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"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-04T20:56:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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 |
# 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": []} | utahnlp/boolq_facebook_opt-2.7b_seed-2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Language(s) (NLP):
- License... | [
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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
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | rafaeloc15/beyondrisk-mistral-v0-05042024-v01 | null | [
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"autotrain",
"text-generation-inference",
"text-generation",
"peft",
"conversational",
"license:other",
"endpoints_compatible",
"region:us"
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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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] |
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. -->
# phi2-ss_cefr
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the generator da... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi2-ss_cefr", "results": []}]} | pribadihcr/phi2-ss_cefr | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-04T20:59:58+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi2-ss_cefr
This model is a fine-tuned version of microsoft/phi-2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_facebook_opt-2.7b_seed-3 | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #opt #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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 [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an ... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "results", "results": []}]} | veronica-girolimetti/results | null | [
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|
# results
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers |
# 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": []} | selvamathan-rampedup/RampedUp-Mistral-7B-v0.6.1 | null | [
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# Model Card for Model ID
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text-generation | null |
# RWKV-5 World
Use rwkv pip package 0.8.22+ for RWKV-5 inference: https://pypi.org/project/rwkv/ (pipeline = PIPELINE(model, "rwkv_vocab_v20230424") for rwkv-world models)
Online 7B Demo: https://huggingface.co/spaces/BlinkDL/RWKV-Gradio-2
Online 1.5B Demo: https://huggingface.co/spaces/BlinkDL/RWKV-Gradio-1
GUI: ... | {"language": ["en", "zh", "fr", "es", "de", "pt", "ru", "it", "ja", "ko", "vi", "ar"], "license": "apache-2.0", "tags": ["pytorch", "text-generation", "causal-lm", "rwkv"], "datasets": ["cerebras/SlimPajama-627B", "EleutherAI/pile", "bigcode/starcoderdata", "oscar-corpus/OSCAR-2301"]} | RWKV/rwkv-5-world-all-pth | null | [
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... | null | 2024-04-04T21:03:23+00:00 | [] | [
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|
# RWKV-5 World
Use rwkv pip package 0.8.22+ for RWKV-5 inference: URL (pipeline = PIPELINE(model, "rwkv_vocab_v20230424") for rwkv-world models)
Online 7B Demo: URL
Online 1.5B Demo: URL
GUI: URL (see Releases)
Convert to HF formet: URL
For developer: URL
URL
How it works: URL
URL
## Model Description
RWKV-... | [
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... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_facebook_opt-6.7b_seed-1 | 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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text-generation | null |
# RWKV-6 World
Use rwkv pip package 0.8.24+ for RWKV-6 inference: https://pypi.org/project/rwkv/ (pipeline = PIPELINE(model, "rwkv_vocab_v20230424") for rwkv-world models)
Online Demo 1: https://huggingface.co/spaces/BlinkDL/RWKV-Gradio-2
Online Demo 2: https://huggingface.co/spaces/BlinkDL/RWKV-Gradio-1
GUI: http... | {"language": ["en", "zh", "fr", "es", "de", "pt", "ru", "it", "ja", "ko", "vi", "ar"], "license": "apache-2.0", "tags": ["pytorch", "text-generation", "causal-lm", "rwkv"], "datasets": ["cerebras/SlimPajama-627B", "EleutherAI/pile", "bigcode/starcoderdata", "oscar-corpus/OSCAR-2301"]} | RWKV/rwkv-6-world-all-pth | null | [
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|
# RWKV-6 World
Use rwkv pip package 0.8.24+ for RWKV-6 inference: URL (pipeline = PIPELINE(model, "rwkv_vocab_v20230424") for rwkv-world models)
Online Demo 1: URL
Online Demo 2: URL
GUI: URL (see Releases)
For developer: URL
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How it works: URL
URL
## Model Description
RWKV-6 trained on 100+ world languag... | [
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null | transformers |
# Uploaded model
- **Developed by:** Omickeyee
- **License:** apache-2.0
- **Finetuned from model :** google/gemma-7b
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "google/gemma-7b"} | Omickeyee/Marathi_Gemma_7B_52k | null | [
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|
# Uploaded model
- Developed by: Omickeyee
- License: apache-2.0
- Finetuned from model : google/gemma-7b
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["fr"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-fr-bloom-7b1 | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-7b1
* Instruction tuning language... | [
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text-generation | transformers |
# TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/TableLLM/TableLLM)** | **[Homepage](https://tablellm.github.io/)** | *... | {"language": ["en"], "license": "llama2", "tags": ["Table", "QA", "Code"], "datasets": ["RUCKBReasoning/TableLLM-SFT"]} | blockblockblock/TableLLM-13b-bpw4 | null | [
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| TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
===================================================================================
| Paper | Training set | Github | Homepage | Platform |
We present TableLLM, a powerful large language model designed to handle tabular data manipul... | [
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"### Text Answe... | [
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text-generation | transformers |
# GPT-2 rDanny ChatBot
### Model Description
Training a GPT-2 model using the rDany dataset is a significant step forward in the advancement of artificial intelligence technologies. This model, designed as a chatbot, can generate human-like co... | {"license": "mit", "tags": ["legal"], "pipeline_tag": "text-generation"} | anezatra/gpt2-rdanny-chatbot | null | [
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|
# GPT-2 rDanny ChatBot
!examples
### Model Description
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text-classification | bertopic |
# open-hdscan-april3
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U bertopic
... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | Thang203/open-hdscan-april3 | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-04T21:08:27+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| open-hdscan-april3
==================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as follows:
Topic overvie... | [] | [
"TAGS\n#bertopic #text-classification #region-us \n"
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13
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | farzanrahmani/bert-fa-base-uncased-sentiment-nlp-hw2 | null | [
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"text-classification",
"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# The first model for automatic text-to-video prompt completion: Given a few words as input, the model will generate a few whole text-to-video prompts.
# Details
It is fine-tuned on the [VidProM](https://huggingface.co/datasets/WenhaoWang/VidProM) dataset using [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mist... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["text-to-video generation", "VidProM", "Automatical text-to-video prompt"], "datasets": ["WenhaoWang/VidProM"], "pipeline_tag": "text-generation"} | WenhaoWang/AutoT2VPrompt | null | [
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|
# The first model for automatic text-to-video prompt completion: Given a few words as input, the model will generate a few whole text-to-video prompts.
# Details
It is fine-tuned on the VidProM dataset using Mistral-7B-v0.1 and 8 A100 GPUs.
# Usage
## Download the model
## Set the Parameters
## Generation
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/boolq_facebook_opt-13b_seed-1 | null | [
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"region:us"
] | null | 2024-04-04T21:08:57+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #opt #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## 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)... | [
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text-generation | transformers |
# ECE-TW3-JRGL-V2
ECE-TW3-JRGL-V2 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [Qwen/Qwen1.5-72B-Chat](https://huggingface.co/Qwen/Qwen1.5-72B-Chat)
* [vilm/Quyen-Pro-Max-v0.1](https://huggingface.co/vilm/Quyen-Pro-Max-v0.1)
## 🧩 Configuration | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Qwen/Qwen1.5-72B-Chat", "vilm/Quyen-Pro-Max-v0.1"]} | paloalma/ECE-TW3-JRGL-V2 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"Qwen/Qwen1.5-72B-Chat",
"vilm/Quyen-Pro-Max-v0.1",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T21:10:03+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #merge #mergekit #lazymergekit #Qwen/Qwen1.5-72B-Chat #vilm/Quyen-Pro-Max-v0.1 #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# ECE-TW3-JRGL-V2
ECE-TW3-JRGL-V2 is a merge of the following models using mergekit:
* Qwen/Qwen1.5-72B-Chat
* vilm/Quyen-Pro-Max-v0.1
## Configuration | [
"# ECE-TW3-JRGL-V2\n\nECE-TW3-JRGL-V2 is a merge of the following models using mergekit:\n* Qwen/Qwen1.5-72B-Chat\n* vilm/Quyen-Pro-Max-v0.1",
"## Configuration"
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