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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/22h-open-cabrita3b-bnb-8bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
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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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![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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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-on-counsel-chat-data
This model is a fine-tuned version of [distilbert-base-uncased](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-on-counsel-chat-data", "results": []}]} | DurgeshPandit/distilbert-base-uncased-finetuned-on-counsel-chat-data | null | [
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|
# distilbert-base-uncased-finetuned-on-counsel-chat-data
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.7293
- eval_accuracy: 0.2762
- eval_f1: 0.1566
- eval_runtime: 70.3621
- eval_samples_per_second: 2.57... | [
"# distilbert-base-uncased-finetuned-on-counsel-chat-data\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 2.7293\n- eval_accuracy: 0.2762\n- eval_f1: 0.1566\n- eval_runtime: 70.3621\n- eval_samples_per_se... | [
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text-generation | transformers | This is a depth up scalled model of the 616M cinder model and Cinder v2. This model still needs further training. Putting it up for testing. More information coming. Maybe. Lol. Here is a brief desc of the project: Im mixing a lot of techniques I guess that I found interesting and have been testing, HF Cosmo is not gre... | {"license": "mit"} | Josephgflowers/Tinyllama-1.5B-Cinder-Test-5 | null | [
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| This is a depth up scalled model of the 616M cinder model and Cinder v2. This model still needs further training. Putting it up for testing. More information coming. Maybe. Lol. Here is a brief desc of the project: Im mixing a lot of techniques I guess that I found interesting and have been testing, HF Cosmo is not gre... | [] | [
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video-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. -->
# timesformer-base-finetuned-k400-finetuned-kinetic400-epoch6-num_frame_10_TimeSformer_more_data
This model is a fine-tuned versio... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-finetuned-kinetic400-epoch6-num_frame_10_TimeSformer_more_data", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-finetuned-kinetic400-epoch6-num_frame_10_TimeSformer_more_data | null | [
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| timesformer-base-finetuned-k400-finetuned-kinetic400-epoch6-num\_frame\_10\_TimeSformer\_more\_data
===================================================================================================
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
It achieves the ... | [
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text-generation | transformers |
# h2o-danube2-1.8b-chat - GGUF
- Model creator: [H2O.ai](https://huggingface.co/h2oai)
- Original model: [h2o-danube2-1.8b-chat](https://huggingface.co/h2oai/h2o-danube2-1.8b-chat)
## Description
This repo contains GGUF format model files for [h2o-danube2-1.8b-chat](https://huggingface.co/h2oai/h2o-danube2-1.8b-chat... | {"language": ["en"], "license": "apache-2.0", "tags": ["llm", "gpt", "large language model"], "base_model": "h2oai/h2o-danube2-1.8b-chat", "inference": false, "pipeline_tag": "text-generation"} | aghorbani/h2o-danube2-1.8b-chat-gguf | null | [
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|
# h2o-danube2-1.8b-chat - GGUF
- Model creator: URL
- Original model: h2o-danube2-1.8b-chat
## Description
This repo contains GGUF format model files for h2o-danube2-1.8b-chat.
## Provided files
- h2o-danube2-1.8b-chat-Q2_K.gguf
- h2o-danube2-1.8b-chat-Q3_K_M.gguf
- h2o-danube2-1.8b-chat-Q4_K_M.gguf
- h2o-danube2-... | [
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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": []} | baris-yazici/twitter_complaints_bigscience_bloomz-560m_PROMPT_TUNING_CAUSAL_LM | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # Stable Diffusion web UI
A web interface for Stable Diffusion, implemented using Gradio library.
## Features
[Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):
- Original txt2img and img2img modes
- One click install and run script (but... | {} | sdgsdggds/sta1 | null | [
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| # Stable Diffusion web UI
A web interface for Stable Diffusion, implemented using Gradio library.
## Features
Detailed feature showcase with images:
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- One click install and run script (but you still must install python and git)
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- Inpainting
- Color Sketch
- ... | [
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mask-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | diliash/sam-2024-04-07-11-05-41 | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712490392114x991316326888940700
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Theuzs/Jill_Val"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712490392114x991316326888940700 | null | [
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|
# LoRA DreamBooth - squaadinc/1712490392114x991316326888940700
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Rorical/lolicore-test
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a ... | {"language": ["en"], "library_name": "transformers", "base_model": "Rorical/lolicore-test", "quantized_by": "mradermacher"} | mradermacher/lolicore-test-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Rorical/lolicore-test",
"endpoints_compatible",
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] | null | 2024-04-07T11:49:16+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Rorical/lolicore-test #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# undefinedhorizons/youtube_bert_1
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "undefinedhorizons/youtube_bert_1", "results": []}]} | undefinedhorizons/youtube_bert_1 | null | [
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"distilbert",
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"generated_from_keras_callback",
"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T11:55:19+00:00 | [] | [] | TAGS
#transformers #tf #distilbert #text-classification #generated_from_keras_callback #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| undefinedhorizons/youtube\_bert\_1
==================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0958
* Validation Loss: 0.1151
* Train Accuracy: 0.9602
* Epoch: 2
Model de... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n*... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaPickAndPlace-v3**
This is a trained model of a **A2C** agent playing **PandaPickAndPlace-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from hugg... | {"library_name": "stable-baselines3", "tags": ["PandaPickAndPlace-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaPickAndPlace-v3", "ty... | davidkh/a2c-PandaPickAndPlace-v3 | null | [
"stable-baselines3",
"PandaPickAndPlace-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-07T11:57:43+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaPickAndPlace-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaPickAndPlace-v3
This is a trained model of a A2C agent playing PandaPickAndPlace-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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"# A2C Agent playing PandaPickAndPlace-v3\nThis is a trained model of a A2C agent playing PandaPickAndPlace-v3\nusing the stable-baselines3 library.",
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text-generation | transformers |
AWQ quantized version of gemma-1.1-2b-it model.
---
# Gemma Model Card
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs)
This model card corresponds to the latest 2B instruct version of the Gemma model. Here you can find other models in the Gemma family:
| | Base ... | {"license": "gemma", "library_name": "transformers", "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, you\u2019re requi... | TechxGenus/gemma-1.1-2b-it-AWQ | null | [
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---
Gemma Model Card
================
Model Page: Gemma
This model card corresponds to the latest 2B instruct version of the Gemma model. Here you can find other models in the Gemma family:
Base: 2B, Instruct: gemma-2b
Base: 7B, Instruct: gemma-7b
Release No... | [
"### Description\n\n\nGemma is a family of lightweight, state-of-the-art open models from Google,\nbuilt from the same research and technology used to create the Gemini models.\nThey are text-to-text, decoder-only large language models, available in English,\nwith open weights, pre-trained variants, and instruction... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# bart-finetuned_0
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown d... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "facebook/bart-base", "model-index": [{"name": "bart-finetuned_0", "results": []}]} | hfnlpmodels/bart-finetuned_0 | null | [
"transformers",
"tf",
"bart",
"text2text-generation",
"generated_from_keras_callback",
"base_model:facebook/bart-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T12:06:19+00:00 | [] | [] | TAGS
#transformers #tf #bart #text2text-generation #generated_from_keras_callback #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bart-finetuned\_0
=================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 2.5588
* Validation Loss: 2.1386
* Epoch: 0
Model description
-----------------
Given a short paragraph, will output a summar... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 0.0001, 'decay\\_steps': 125, 'end\\_learni... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': ... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nbeerbower/HeroBophades-3x7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["jondurbin/truthy-dpo-v0.1", "kyujinpy/orca_math_dpo", "jondurbin/gutenberg-dpo-v0.1"], "base_model": "nbeerbower/HeroBophades-3x7B", "quantized_by": "mradermacher"} | mradermacher/HeroBophades-3x7B-GGUF | null | [
"transformers",
"gguf",
"en",
"dataset:jondurbin/truthy-dpo-v0.1",
"dataset:kyujinpy/orca_math_dpo",
"dataset:jondurbin/gutenberg-dpo-v0.1",
"base_model:nbeerbower/HeroBophades-3x7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T12:06:59+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #dataset-jondurbin/truthy-dpo-v0.1 #dataset-kyujinpy/orca_math_dpo #dataset-jondurbin/gutenberg-dpo-v0.1 #base_model-nbeerbower/HeroBophades-3x7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #dataset-jondurbin/truthy-dpo-v0.1 #dataset-kyujinpy/orca_math_dpo #dataset-jondurbin/gutenberg-dpo-v0.1 #base_model-nbeerbower/HeroBophades-3x7B #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
image-classification | timm | # Model card for alexionby/resnet50-random | {"tags": ["image-classification", "timm"], "library_tag": "timm"} | alexionby/resnet50-random | null | [
"timm",
"pytorch",
"image-classification",
"region:us"
] | null | 2024-04-07T12:07:09+00:00 | [] | [] | TAGS
#timm #pytorch #image-classification #region-us
| # Model card for alexionby/resnet50-random | [
"# Model card for alexionby/resnet50-random"
] | [
"TAGS\n#timm #pytorch #image-classification #region-us \n",
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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
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "falcon-7b-sharded-bf16-finetuned", "results": []}]} | grunemax/falcon-7b-sharded-bf16-finetuned | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T12:08:22+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# falcon-7b-sharded-bf16-finetuned
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
"# falcon-7b-sharded-bf16-finetuned\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Tr... | [
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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/beomi-Yi-Ko-6B-bnb-8bit-smashed | null | [
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#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-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>
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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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text-to-image | null | ### My-Bedroom-Interior-Design Dreambooth model trained by tiwarishwet following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 224626101
Sample pictures of this concept:
![0](https://huggingface.co/tiwarishwet/my-bedroom-interior-design/resolve/main/sample_images/bdrr_(... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | tiwarishwet/my-bedroom-interior-design | null | [
"safetensors",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-07T12:11:42+00:00 | [] | [] | TAGS
#safetensors #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #region-us
| ### My-Bedroom-Interior-Design Dreambooth model trained by tiwarishwet following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 224626101
Sample pictures of this concept:
!0.jpeg)
!1.jpeg)
!2.jpeg)
!3.jpeg)
!4.jpeg)
| [
"### My-Bedroom-Interior-Design Dreambooth model trained by tiwarishwet following the \"Build your own Gen AI model\" session by NxtWave.\n\nProject Submission Code: 224626101\n\nSample pictures of this concept:\n\n \n \n \n \n !0.jpeg)\n !1.jpeg)\n !2.jpeg)\n !3.jpeg)\n !4.jpeg)"
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null | null | # Pre-trained Web Table Embeddings
The models here represent schema terms and instance data terms in a semantic vector space making them especially useful for representing schema and class information as well as for ML tasks on tabular text data.
The code for executing and evaluating the models is located in the [tab... | {"language": ["en"], "license": "mit", "tags": ["schema", "word-embeddings", "embeddings", "unsupervised-learning", "tables", "web-table", "schema-data"]} | ddrg/web_table_embeddings_plain150 | null | [
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"embeddings",
"unsupervised-learning",
"tables",
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"schema-data",
"en",
"license:mit",
"region:us"
] | null | 2024-04-07T12:12:22+00:00 | [] | [
"en"
] | TAGS
#schema #word-embeddings #embeddings #unsupervised-learning #tables #web-table #schema-data #en #license-mit #region-us
| Pre-trained Web Table Embeddings
================================
The models here represent schema terms and instance data terms in a semantic vector space making them especially useful for representing schema and class information as well as for ML tasks on tabular text data.
The code for executing and evaluating ... | [] | [
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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": []} | Cdywalst/donut-lora-r8-exp | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
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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):
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null | null | https://civitai.com/models/283562/shu-arknights | {"license": "creativeml-openrail-m"} | LarryAIDraw/shu_arknights | null | [
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null | null | https://civitai.com/models/385608/shiori-or-princess-connect-redive | {"license": "creativeml-openrail-m"} | LarryAIDraw/PrincessConnect_Shiori | null | [
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text-generation | transformers | I'm only uploading float16 models because base models are mostly bfloat16 so its useless to, upcast to float32. | {"license": "apache-2.0"} | aless2212/gemma-1.1-7b-it-onnx-fp16 | null | [
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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/Aratako/Mixtral-8x7B-Instruct-v0.1-upscaled
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermach... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Aratako/Mixtral-8x7B-Instruct-v0.1-upscaled", "quantized_by": "mradermacher"} | mradermacher/Mixtral-8x7B-Instruct-v0.1-upscaled-i1-GGUF | null | [
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| 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. ... | [] | [
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null | null | https://civitai.com/models/387494/takao-anime | {"license": "creativeml-openrail-m"} | LarryAIDraw/Aoki_Takao_Anime | null | [
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null | null | https://civitai.com/models/385597/saren-or-princess-connect-redive | {"license": "creativeml-openrail-m"} | LarryAIDraw/PrincessConnect_Saren | null | [
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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": []} | wetaizhou/gemma-Code-Instruct-Finetune-test | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | Some of the models I use myself. This space is for my personal use only, not a distributing page. | {} | mashb1t/fav_models | null | [
"region:us"
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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/j4lx4cc | null | [
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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": []} | bjoernp/leo_bude_final | 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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mask-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | diliash/sam-2024-04-07-11-45-47 | null | [
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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": []} | baris-yazici/liar_bigscience_bloomz-560m_PROMPT_TUNING_CAUSAL_LM | null | [
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# Model Card for Model ID
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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. -->
# timesformer-base-finetuned-k400-kinetic400-subset-epoch10real-num_frame_10_myViT_more_data
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===============================================================================================
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | Pennlaine/Mistral-7B-v0.1-entity-extraction | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Hi - He Linjie
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi - He Linjie", "results": [{"task": {"type": "automatic-speech-recognition", "name":... | aigua/whisper-small-hi | null | [
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| Whisper Small Hi - He Linjie
============================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4393
* Wer: 32.4558
Model description
-----------------
More information needed
Intended use... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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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": []} | qamyr/test_011_gpt-neo-125m_100steps__finetuned_lora_model | null | [
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] | [] | 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]:
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image-to-text | transformers | # Model Card for DoNUT Model
<!-- Provide a quick summary of what the model does. -->
This model card provides details about the DoNUT model fine-tuned for document question answering (docQA) on a synthetically generated dataset.
## Model Details
### Model Description
<!-- Provide a longer summary of what this mo... | {"language": ["en"], "license": "apache-2.0", "pipeline_tag": "image-to-text"} | Henge-navuuu/donut-base-finetuned-forms-v1 | null | [
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"en"
] | TAGS
#transformers #safetensors #vision-encoder-decoder #image-to-text #en #license-apache-2.0 #endpoints_compatible #region-us
| # Model Card for DoNUT Model
This model card provides details about the DoNUT model fine-tuned for document question answering (docQA) on a synthetically generated dataset.
## Model Details
### Model Description
The DoNUT model is a document question answering model that has been fine-tuned for answering questi... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
|----------------... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Lambent/cosmoem-4x1b", "model-index": [{"name": "lisa-out", "results": []}]} | Lambent/CosMoE-Lisa-4x1b | null | [
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|
Ambitious training, but appears to have decreased capabilities rather than aided them. Lessons learned.
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
lisa-out
========
This model is a fine-tuned version of Lambent/cosmoem-4x1b on the None datas... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\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: cosine\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers | # Overview:
Honyaku-7b-v2 is an improved version of its predecessor. This model exhibits enhanced accuracy in adhering to multilingual generation tags compared to the previous version.
# Key Features & Limitation:
* Improved Multilingual Generation Accuracy: The model has increased precision in following multiling... | {"license": "apache-2.0"} | aixsatoshi/Honyaku-7b-v2 | null | [
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| # Overview:
Honyaku-7b-v2 is an improved version of its predecessor. This model exhibits enhanced accuracy in adhering to multilingual generation tags compared to the previous version.
# Key Features & Limitation:
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text-generation | transformers |
# Starling-dolphin-E26-7B
Starling-dolphin-E26-7B is an experimental language model I built by merging several other powerful models. The idea is that it could potentially handle a wide range of tasks, including following instructions and creative writing. It's still under development, but I'm excited to see what it ... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"]} | bunnycore/Starling-dolphin-E26-7B | null | [
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"2403.19522"
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|
# Starling-dolphin-E26-7B
Starling-dolphin-E26-7B is an experimental language model I built by merging several other powerful models. The idea is that it could potentially handle a wide range of tasks, including following instructions and creative writing. It's still under development, but I'm excited to see what it ... | [
"# Starling-dolphin-E26-7B\n\nStarling-dolphin-E26-7B is an experimental language model I built by merging several other powerful models. The idea is that it could potentially handle a wide range of tasks, including following instructions and creative writing. It's still under development, but I'm excited to see wh... | [
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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. -->
# scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_delta
This model is a fine-tuned version of [haryoaw/scenario-TCR-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["massive"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_delta", "results": [{"tas... | haryoaw/scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_delta | null | [
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"license:mit",
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| scenario-NON-KD-PO-COPY-D2\_data-AmazonScience\_massive\_all\_1\_1\_delta
=========================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR-data-AmazonScience-massive-all\_1.1-model-xlm-roberta-base on the massive dataset.
It achieves the following re... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 11213\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tr... | [
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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. -->
# scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_alpha
This model is a fine-tuned version of [haryoaw/scenario-TCR-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["massive"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_alpha", "results": [{"tas... | haryoaw/scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_alpha | null | [
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"license:mit",
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"autotrain_compatible",
"endpoints_compatible",
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#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #dataset-massive #base_model-haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-PO-COPY-D2\_data-AmazonScience\_massive\_all\_1\_1\_alpha
=========================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR-data-AmazonScience-massive-all\_1.1-model-xlm-roberta-base on the massive dataset.
It achieves the following re... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 1123\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tra... | [
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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-base-qnli
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the GLUE QNLI ... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-base-qnli", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE QNLI... | Cheng98/bert-base-qnli | null | [
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"dataset:glue",
"base_model:bert-base-cased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"en"
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|
# bert-base-qnli
This model is a fine-tuned version of bert-base-cased on the GLUE QNLI dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5751
- Accuracy: 0.9070
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluat... | [
"# bert-base-qnli\n\nThis model is a fine-tuned version of bert-base-cased on the GLUE QNLI dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.5751\n- Accuracy: 0.9070",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"... | [
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null | null | # Stable Diffusion web UI
A web interface for Stable Diffusion, implemented using Gradio library.
## Features
[Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):
- Original txt2img and img2img modes
- One click install and run script (but... | {} | sdgsdggds/sta2 | null | [
"arxiv:2211.06679",
"region:us"
] | null | 2024-04-07T12:45:31+00:00 | [
"2211.06679"
] | [] | TAGS
#arxiv-2211.06679 #region-us
| # Stable Diffusion web UI
A web interface for Stable Diffusion, implemented using Gradio library.
## Features
Detailed feature showcase with images:
- Original txt2img and img2img modes
- One click install and run script (but you still must install python and git)
- Outpainting
- Inpainting
- Color Sketch
- ... | [
"# Stable Diffusion web UI\nA web interface for Stable Diffusion, implemented using Gradio library.\n\n",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jkukul/gemma-7b-it-fine-tuned-2024-07-04-13 | 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 |
# Uploaded model
- **Developed by:** smsaurabhv
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-it-bnb-4bit"} | smsaurabhv/gemmataskpay | null | [
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# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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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. -->
# scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_beta
This model is a fine-tuned version of [haryoaw/scenario-TCR-d... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["massive"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_beta", "results": [{"task... | haryoaw/scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_beta | null | [
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| scenario-NON-KD-PO-COPY-D2\_data-AmazonScience\_massive\_all\_1\_1\_beta
========================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR-data-AmazonScience-massive-all\_1.1-model-xlm-roberta-base on the massive dataset.
It achieves the following resu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 112233\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### T... | [
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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. -->
# scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_gamma
This model is a fine-tuned version of [haryoaw/scenario-TCR-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["massive"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_gamma", "results": [{"tas... | haryoaw/scenario-NON-KD-PO-COPY-D2_data-AmazonScience_massive_all_1_1_gamma | null | [
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| scenario-NON-KD-PO-COPY-D2\_data-AmazonScience\_massive\_all\_1\_1\_gamma
=========================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR-data-AmazonScience-massive-all\_1.1-model-xlm-roberta-base on the massive dataset.
It achieves the following re... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 11423\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
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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. -->
# FYP_sq2_mrqa_adqa_synqa_quoref
This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa_adqa_synqa](https://huggingface.co/kx... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "kxx-kkk/FYP_sq2_mrqa_adqa_synqa", "model-index": [{"name": "FYP_sq2_mrqa_adqa_synqa_quoref", "results": []}]} | kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref | null | [
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| FYP\_sq2\_mrqa\_adqa\_synqa\_quoref
===================================
This model is a fine-tuned version of kxx-kkk/FYP\_sq2\_mrqa\_adqa\_synqa on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8654
Model description
-----------------
More information needed
Intended ... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# chord-finetuned
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "chord-finetuned", "results": []}]} | aliciiavs/chord-finetuned | null | [
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| chord-finetuned
===============
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0711
* Accuracy: 0.45
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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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": []} | jkukul/gemma-7b-it-fine-tuned-2024-07-04-13-merged | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | xinyiding/finetuning-sentiment-model-3000-samples | null | [
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|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3275
- Accuracy: 0.8633
- F1: 0.8673
## Model description
More information needed
## Intended uses & limitations
More ... | [
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text-generation | transformers | This is an ExLlamaV2 quantized model in 4bpw of [mpasila/Finnish-Viking-Alpaca-V1-7B](https://huggingface.co/mpasila/Finnish-Viking-Alpaca-V1-7B) using the default calibration dataset.
# Original Model card:
# Model Card for Finnish-Viking-Alpaca-V1-7B
This is a merge of [mpasila/Finnish-Viking-Alpaca-V1-LoRA-7B](ht... | {"language": ["fi"], "license": "apache-2.0", "datasets": ["pinzhenchen/alpaca-cleaned-fi"], "base_model": "mpasila/Finnish-Viking-Alpaca-V1-7B"} | mpasila/Finnish-Viking-Alpaca-V1-7B-exl2-4bpw | null | [
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| This is an ExLlamaV2 quantized model in 4bpw of mpasila/Finnish-Viking-Alpaca-V1-7B using the default calibration dataset.
Original Model card:
====================
Model Card for Finnish-Viking-Alpaca-V1-7B
==========================================
This is a merge of mpasila/Finnish-Viking-Alpaca-V1-LoRA-7B.
... | [
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] |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# chord_ViT-finetuned
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-p... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "chord_ViT-finetuned", "results": []}]} | aliciiavs/chord_ViT-finetuned | null | [
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| chord\_ViT-finetuned
====================
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0093
* Accuracy: 0.2111
Model description
-----------------
More information needed
Intended uses & limitations
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-generation | transformers | Prompt Example:
```
### System:
You are an AI assistant. User will give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.
### User:
How do you fine tune a large language model?
### Assistant:
```
# [Open LLM Leaderboard Evaluat... | {"license": "other", "license_name": "qwen", "license_link": "LICENSE", "model-index": [{"name": "Deita-32b", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num... | KnutJaegersberg/Deita-32b | null | [
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"region:us"
] | null | 2024-04-07T12:54:52+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-other #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Prompt Example:
Open LLM Leaderboard Evaluation Results
=======================================
Detailed results can be found here
| [] | [
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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": []} | kangXn/enta-tp | null | [
"transformers",
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"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #xmod #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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- Shared by [optional]:
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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. -->
# demo
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "demo", "results": []}]} | Vishaltiwari2019/demo | null | [
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|
# demo
This model is a fine-tuned version of distilbert-base-uncased 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 foll... | [
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.2657392298594389, 0.8380825516... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.27-0.84-0.41-0.25-0.18-0.25-7B | null | [
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"license:apache-2.0",
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"re... | null | 2024-04-07T12:59:13+00:00 | [] | [] | TAGS
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|
## Configuration
## Usage
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null | null |
![00002-4290416331.png](https://cdn-uploads.huggingface.co/pr... | {"license": "creativeml-openrail-m"} | BetterThanNothing/springlux | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-07T13:00:29+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
|
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!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": []} | sdansdk/pythia_70m_finetuned_1 | null | [
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"text-generation",
"arxiv:1910.09700",
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|
# 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. -->
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<!-- Provide a longer summa... | {"library_name": "transformers", "tags": []} | Phaaarus/sw-layer-4 | null | [
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# Model Card for Model ID
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mask-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | diliash/sam-2024-04-07-12-26-10 | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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. -->
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|
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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null | transformers |
# Uploaded model
- **Developed by:** smsaurabhv
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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# Uploaded model
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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": []} | Cdywalst/donut-lora-r8-num | null | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-small-patch16-224-finetuned-cifar10
This model is a fine-tuned version of [WinKawaks/vit-small-patch16-224](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "WinKawaks/vit-small-patch16-224", "model-index": [{"name": "vit-small-patch16-224-finetuned-cifar10", "results": []}]} | raks87/vit-small-patch16-224-finetuned-cifar10 | null | [
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| vit-small-patch16-224-finetuned-cifar10
=======================================
This model is a fine-tuned version of WinKawaks/vit-small-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0459
* Accuracy: 0.9844
Model description
-----------------
More informa... | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('ShiCrazy/sgb-class-butterfl... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | ShiCrazy/sgb-class-butterflies-32 | null | [
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# Model Card for Unit 1 of the Diffusion Models Class
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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. -->
# bart-large-cnn-pubmed-abstract-len-5003000
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.c... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-large-cnn-pubmed-abstract-len-5003000", "results": []}]} | Chung-Fan/bart-large-cnn-pubmed-abstract-len-5003000 | null | [
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|
# bart-large-cnn-pubmed-abstract-len-5003000
This model is a fine-tuned version of facebook/bart-large-cnn on the None 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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mask-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | diliash/sam-2024-04-07-13-06-08 | null | [
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null | transformers |
# Uploaded model
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[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | cackerman/rewrites_gem7unsloth_4bit_ft | null | [
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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": []} | TristanBehrens/nightingallm-init_369M | null | [
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|
# Model Card for Model ID
## Model Details
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/>](https://discord.gg/u54VK8m8tk)
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "yi", "yi-34b"]} | unsloth/Hermes-2-Pro-Mistral-7B | null | [
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune for Free
-----------------
All notebooks are beginner friendly! Add... | [] | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lamekid/Speech2Text_project | null | [
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"1910.09700"
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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. -->
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | HanliChu/LunarLander-v2 | null | [
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
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"region:us"
] | null | 2024-04-07T13:28:27+00:00 | [] | [] | TAGS
#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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] |
text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/>](https://discord.gg/u54VK8m8tk)
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "yi", "yi-34b"]} | unsloth/Hermes-2-Pro-Mistral-7B-bnb-4bit | null | [
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"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
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"en"
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#transformers #safetensors #mistral #text-generation #unsloth #yi #yi-34b #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune for Free
-----------------
All notebooks are beginner friendly! Add... | [] | [
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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. -->
# FYP_qa_final
This model is a fine-tuned version of [deepset/deberta-v3-base-squad2](https://huggingface.co/deepset/deberta-v3-ba... | {"language": ["en"], "license": "cc-by-4.0", "tags": ["generated_from_trainer"], "datasets": ["rajpurkar/squad_v2", "mrqa", "UCLNLP/adversarial_qa", "mbartolo/synQA"], "base_model": "kxx-kkk/FYP_sq2_mrqa_adqa_synqa", "pipeline_tag": "question-answering", "model-index": [{"name": "FYP_qa_final", "results": [{"task": {"t... | kxx-kkk/FYP_qa_final | null | [
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==============
This model is a fine-tuned version of deepset/deberta-v3-base-squad2 on an MRQA dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7493
Model description
-----------------
This model is trained for performing extractive question-answering tasks for academic... | [
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text-generation | transformers |
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/Fy2GvAheKCnd3Jj3TbrPG.png" alt="" style="width: 95%; max-height: 750px;">
</p>
## Metrics.
```
TrainOutput(global_step=2509,
training_loss=0.2509715025906736,
metrics={'train_runtime': 22783.0743,
't... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["gretelai/synthetic_text_to_sql", "NickyNicky/synthetic_text_to_sql_format_chatML_gemma"], "widget": [{"text": "<bos><start_of_turn>system\nYou are a helpful AI assistant.\nyou are a sql expert who responds in json format.<end_of... | NickyNicky/gemma-1.1-2b-it_text_to_sql_format_chatML_V1 | null | [
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"license:apache-2.0",
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|
<p align="center">
<img src="URL alt="" style="width: 95%; max-height: 750px;">
</p>
## Metrics.
## Take dataset.
## Dataset format gemma fine tune.
## colab examples and Gradio.
## gradio colab.
<p align="center">
<img src="URL alt="" style="width: 95%; max-height: 750px;">
</p>
## $ train
<p align="ce... | [
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.12740533778765217, 0.237580137... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.13-0.24-0.38-0.21-0.67-0.27-7B | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"re... | null | 2024-04-07T13:35:04+00:00 | [] | [] | TAGS
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|
## Configuration
## Usage
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] |
text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/>](https://discord.gg/u54VK8m8tk)
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "mistral"]} | unsloth/Starling-LM-7B-beta-bnb-4bit | null | [
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune for Free
-----------------
All notebooks are beginner friendly! Add... | [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #unsloth #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
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] |
text-generation | transformers |
## Recipe for a Beautiful Frankenstein
In the laboratory of the mind, where thoughts entwine,
MHM and MOE, a potion for a unique design.
With stitches of curiosity and bolts of creativity,
8 times... | {"language": ["en"], "license": "apache-2.0", "tags": ["merge", "moe"]} | atcsecure/frankenmoe-8x7b-exl2_6_0 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"6-bit",
"region:us"
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|
!image/jpeg
## Recipe for a Beautiful Frankenstein
In the laboratory of the mind, where thoughts entwine,
MHM and MOE, a potion for a unique design.
With stitches of curiosity and bolts of creativity,
8 times 7, the magic number, a poetic proclivity.
### Ingredients:
- MHM: A dash of mystery, a sprinkle of hum,
... | [
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/>](https://discord.gg/u54VK8m8tk)
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "mistral"]} | unsloth/Starling-LM-7B-beta | null | [
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#transformers #safetensors #mistral #text-generation #unsloth #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune for Free
-----------------
All notebooks are beginner friendly! Add... | [] | [
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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. -->
# bart-cnn-samsum-finetuned
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-l... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-cnn-samsum-finetuned", "results": []}]} | Khushi870/bart-cnn-samsum-finetuned | null | [
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"generated_from_trainer",
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T13:39:14+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large-cnn #license-mit #autotrain_compatible #endpoints_compatible #region-us
| bart-cnn-samsum-finetuned
=========================
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2479
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 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. -->
# flan-t5-small-20-epochs-fine-tune
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/fla... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/flan-t5-small", "model-index": [{"name": "flan-t5-small-20-epochs-fine-tune", "results": []}]} | xshubhamx/flan-t5-small-20-epochs-fine-tune | null | [
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| flan-t5-small-20-epochs-fine-tune
=================================
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1136
* Accuracy: 1
* F1 Micro: 1
* F1 Macro: 1
* F1 Weighted: 1
Model description
---------------... | [
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text-generation | transformers | # Introduction
[OpenBMB Technical Blog Series](https://openbmb.vercel.app/)
The MiniCPM-MoE-8x2B is a decoder-only transformer-based generative language model.
The MiniCPM-MoE-8x2B adopt a Mixture-of-Experts(MoE) architecture, which has 8 experts per layer and activates 2 of 8 experts for each token.
# Usage
This ... | {} | openbmb/MiniCPM-MoE-8x2B | null | [
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"pytorch",
"text-generation",
"conversational",
"custom_code",
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"region:us"
] | null | 2024-04-07T13:40:26+00:00 | [] | [] | TAGS
#transformers #pytorch #text-generation #conversational #custom_code #autotrain_compatible #region-us
| # Introduction
OpenBMB Technical Blog Series
The MiniCPM-MoE-8x2B is a decoder-only transformer-based generative language model.
The MiniCPM-MoE-8x2B adopt a Mixture-of-Experts(MoE) architecture, which has 8 experts per layer and activates 2 of 8 experts for each token.
# Usage
This is a model version after instru... | [
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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": []} | eio24/DP_Bert_EN_fine-tuned | null | [
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"1910.09700"
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#transformers #safetensors #bert #text-classification #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:
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- Shared by [optional]:
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/>](https://discord.gg/u54VK8m8tk)
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "mistral"]} | unsloth/OpenHermes-2.5-Mistral-7B | null | [
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"conversational",
"en",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #unsloth #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune for Free
-----------------
All notebooks are beginner friendly! Add... | [] | [
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null | null |
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null | null |
# bunnycore/Starling-dolphin-E26-7B-Q5_K_M-GGUF
This model was converted to GGUF format from [`bunnycore/Starling-dolphin-E26-7B`](https://huggingface.co/bunnycore/Starling-dolphin-E26-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origina... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "llama-cpp", "gguf-my-repo"]} | bunnycore/Starling-dolphin-E26-7B-Q5_K_M-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T13:46:42+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# bunnycore/Starling-dolphin-E26-7B-Q5_K_M-GGUF
This model was converted to GGUF format from 'bunnycore/Starling-dolphin-E26-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CL... | [
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null | null |
# Mistral for Bangla Lang
<!-- Provide a quick summary of what the model is/does. -->
This model is fintuned version of mistral in bn lang
## Model Details
### Model Description
demo at https://colab.research.google.com/drive/192mHJOdXhRtkZTS9X9qDigI2j_rSuAIW?usp=sharing | {"license": "apache-2.0"} | mobinx/mistral-bn | null | [
"safetensors",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T13:48:08+00:00 | [] | [] | TAGS
#safetensors #license-apache-2.0 #region-us
|
# Mistral for Bangla Lang
This model is fintuned version of mistral in bn lang
## Model Details
### Model Description
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] |
text-generation | transformers |
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header... | {"language": ["en"], "license": "apache-2.0", "tags": ["function calling", "on-device language model", "android"], "model_name": "Octopus-V2-2B", "base_model": "NexaAIDev/Octopus-v2", "inference": false, "model_creator": "NexaAIDev", "quantized_by": "Second State Inc."} | second-state/Octopus-v2-GGUF | null | [
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"en"
] | TAGS
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|
---
Octopus-v2-2B-GGUF
==================
Original Model
--------------
NexaAIDev/Octopus-v2
Run with LlamaEdge
------------------
* LlamaEdge version: v0.8.1 and above
+ Prompt template
- Prompt type: 'octopus'
- Prompt string
* Context size: '2048'
* Run as LlamaEdge service
... | [] | [
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] |
text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/>](https://discord.gg/u54VK8m8tk)
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "mistral"]} | unsloth/OpenHermes-2.5-Mistral-7B-bnb-4bit | null | [
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune for Free
-----------------
All notebooks are beginner friendly! Add... | [] | [
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] |
text-generation | transformers |
# Model Card for Psyfighter2-13B-vore
This model is a version of [KoboldAI/LLaMA2-13B-Psyfighter2](https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2) finetuned to better understand vore context. The primary purpose of this model is to be a storywriting assistant, as well as a conversational model in a chat.
The... | {"language": ["en"], "license": "llama2", "tags": ["roleplay", "storywriting", "vore", "finetuned", "not-for-all-audiences", "nsfw", "uncensored"], "pipeline_tag": "text-generation", "inference": false, "base_model": "KoboldAI/LLaMA2-13B-Psyfighter2", "model_type": "llama", "prompt_template": "Below is an instruction t... | SnakyMcSnekFace/Psyfighter2-13B-vore | null | [
"transformers",
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"storywriting",
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"nsfw",
"uncensored",
"en",
"arxiv:2305.14314",
"arxiv:1910.09700",
"base_model:KoboldAI/LLaMA2-13B-Psyfighter2",
"license:llama2",
"autotrain_compatib... | null | 2024-04-07T13:51:10+00:00 | [
"2305.14314",
"1910.09700"
] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #roleplay #storywriting #vore #finetuned #not-for-all-audiences #nsfw #uncensored #en #arxiv-2305.14314 #arxiv-1910.09700 #base_model-KoboldAI/LLaMA2-13B-Psyfighter2 #license-llama2 #autotrain_compatible #text-generation-inference #region-us
|
# Model Card for Psyfighter2-13B-vore
This model is a version of KoboldAI/LLaMA2-13B-Psyfighter2 finetuned to better understand vore context. The primary purpose of this model is to be a storywriting assistant, as well as a conversational model in a chat.
The Adventure Mode is still work in progress, and will be add... | [
"# Model Card for Psyfighter2-13B-vore\n\nThis model is a version of KoboldAI/LLaMA2-13B-Psyfighter2 finetuned to better understand vore context. The primary purpose of this model is to be a storywriting assistant, as well as a conversational model in a chat.\n\nThe Adventure Mode is still work in progress, and wil... | [
"TAGS\n#transformers #safetensors #llama #text-generation #roleplay #storywriting #vore #finetuned #not-for-all-audiences #nsfw #uncensored #en #arxiv-2305.14314 #arxiv-1910.09700 #base_model-KoboldAI/LLaMA2-13B-Psyfighter2 #license-llama2 #autotrain_compatible #text-generation-inference #region-us \n",
"# Model ... | [
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192,
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167,
86,
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"TAGS\n#transformers #safetensors #llama #text-generation #roleplay #storywriting #vore #finetuned #not-for-all-audiences #nsfw #uncensored #en #arxiv-2305.14314 #arxiv-1910.09700 #base_model-KoboldAI/LLaMA2-13B-Psyfighter2 #license-llama2 #autotrain_compatible #text-generation-inference #region-us \n# Model Card f... |
text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.640933773922566, 0.39984285396... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.64-0.4-0.42-0.6-0.43-0.69-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:liminerity/M7-7b",
"base_model:AurelPx/Percival_01-7b-slerp",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"re... | null | 2024-04-07T13:51:37+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-liminerity/M7-7b #base_model-AurelPx/Percival_01-7b-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## Configuration
## Usage
| [
"## Configuration",
"## Usage"
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"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-liminerity/M7-7b #base_model-AurelPx/Percival_01-7b-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"## Configuration",
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] |
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