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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/togethercomputer-GPT-JT-6B-v1-bnb-8bit-smashed | null | [
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"pruna-ai",
"autotrain_compatible",
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
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![LinkedIn](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Hdhsjfjdsj/mistral-7b-medical-assistance
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "Hdhsjfjdsj/mistral-7b-medical-assistance", "quantized_by": "mradermacher"} | mradermacher/mistral-7b-medical-assistance-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-classification | transformers |
# Model 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": []} | chpardhu/fine_tuned_bert | null | [
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"bert",
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"arxiv:1910.09700",
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"1910.09700"
] | [] | TAGS
#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:
- Funded by [optional]:
- Shared by [optional]:
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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": []} | heyllm234/s10 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
Scene Category
A model to categorize movie scenes beetween Anime, Cartoon or Live Action
| {"license": "apache-2.0"} | gpereira/scenecategory | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-03T19:01:13+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Scene Category
A model to categorize movie scenes beetween Anime, Cartoon or Live Action
| [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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13
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text-generation | transformers | # DarkForest 20B v2.0
## Model Details
- To create this model two step procedure was used. First a new 20B model was created using [microsoft/Orca-2-13b](https://huggingface.co/microsoft/Orca-2-13b)
and [KoboldAI/... | {"license": "other", "tags": ["merge", "not-for-all-audiences"], "license_name": "microsoft-research-license"} | TeeZee/DarkForest-20B-v2.0-bpw4.25-h6-exl2 | null | [
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"autotrain_compatible",
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"text-generation-inference",
"region:us"
] | null | 2024-04-03T19:01:18+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #not-for-all-audiences #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # DarkForest 20B v2.0
!image/png
## Model Details
- To create this model two step procedure was used. First a new 20B model was created using microsoft/Orca-2-13b
and KoboldAI/LLaMA2-13B-Erebus-v3 , deatils of the merge in darkforest_v2_step1.yml
- then jebcarter/psyonic-cetacean-20B
- and TeeZee/BigMaid-20B-v1.0... | [
"# DarkForest 20B v2.0\n\n!image/png",
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "unsloth/gemma-2b", "model-index": [{"name": "gemma_odia_2b_unsloth", "results": []}]} | sam2ai/gemma_odia_2b_unsloth | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
gemma\_odia\_2b\_unsloth
========================
This model is a fine-tuned version of unsloth/gemma-2b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.4007
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 3\n* total\\_train\\_batch\\_size: 48\n... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ichigoberry/pandafish-dt-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for t... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "CultriX/MergeCeption-7B-v3"], "base_model": "ichigoberry/pandafish-dt-7b", "quantized_by": "mradermacher"} | mradermacher/pandafish-dt-7b-GGUF | null | [
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| 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-generation | transformers |
# Model Card for C4AI Command R+
🚨 **This model is 4bit quantized version of C4AI Command R+ using bitsandbytes.** You can find the unquantized version of C4AI Command R+ [here](https://huggingface.co/CohereForAI/c4ai-command-r-plus).
## Model Summary
C4AI Command R+ is an open weights research release of a 104B b... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers"} | CohereForAI/c4ai-command-r-plus-4bit | null | [
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|
# Model Card for C4AI Command R+
This model is 4bit quantized version of C4AI Command R+ using bitsandbytes. You can find the unquantized version of C4AI Command R+ here.
## Model Summary
C4AI Command R+ is an open weights research release of a 104B billion parameter model with highly advanced capabilities, this i... | [
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text-classification | setfit |
# SetFit with DeepPavlov/distilrubert-tiny-cased-conversational-5k
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [DeepPavlov/distilrubert-tiny-cased-conversational-5k](https://huggingface.co/DeepPavlov/distilrubert-tiny-cased-conversat... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "\u0413\u0435\u043c\u043e\u0442\u0440\u0430\u043d\u0441\u0444\u0443\u0437\u0438\u0438 \u043d\u0435 \u043f\u0440\u043e\u0432\u043e\u0434\u0438\u043b... | DimasikKurd/SuperTinyBERT_KD | null | [
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| SetFit with DeepPavlov/distilrubert-tiny-cased-conversational-5k
================================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses DeepPavlov/distilrubert-tiny-cased-conversational-5k as the Sentence Transformer embedding model. A ... | [
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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/TinyPixel-Llama-2-7B-bf16-sharded-bnb-8bit-smashed | null | [
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
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"# 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-generation | transformers |
## LeroyDyer/Mixtral_AI_CyberLAW_7b
This Expert is a companon to the MEGA_MIND 24b CyberSeries represents a groundbreaking leap in the realm of language models, integrating a diverse array of expert models into a unified framework. At its core lies the Mistral-7B-Instruct-v0.2, a refined instructional model designed ... | {"library_name": "transformers", "tags": ["mergekit", "merge", "Cyber-Series"], "base_model": ["LeroyDyer/Mixtral_AI_Cyber_5.0", "AdityaXPV/Mistral-7B-law-sage-v0.3", "Severian/ANIMA-Phi-Neptune-Mistral-7B", "LeroyDyer/Mixtral_AI_CyberBrain_3_0", "mb7419/mistral-7b-legal-dpo", "openerotica/mistral-7b-lamia-v0.1b"]} | LeroyDyer/Mixtral_AI_CyberLAW | null | [
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## LeroyDyer/Mixtral_AI_CyberLAW_7b
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - HiImKing1509/sdxl-animev2-lora-SatoshiSatoshiSatoshi-20imgs
<Gallery />
## Model description
T... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "Linaqruf/animagine-xl-2.0", "instance_prompt": "a SatoshiSatoshiSatoshi woman", "widget... | HiImKing1509/sdxl-animev2-lora-SatoshiSatoshiSatoshi-20imgs | null | [
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# SDXL LoRA DreamBooth - HiImKing1509/sdxl-animev2-lora-SatoshiSatoshiSatoshi-20imgs
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These are HiImKing1509/sdxl-animev2-lora-SatoshiSatoshiSatoshi-20imgs LoRA adaption weights for Linaqruf/animagine-xl-2.0.
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text-classification | transformers |
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the [ACCORD](https://accordproject.eu/) project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
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# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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sentence-similarity | sentence-transformers |
# peulsilva/phrase-bert-setfit-50shots-RAFT-WIKI-QA
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
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# peulsilva/phrase-bert-setfit-50shots-RAFT-WIKI-QA
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Uploaded model
- **Developed by:** Sebastianzhao0627
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-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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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": []}]} | xli187/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.
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- Accuracy: 0.8633
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More information needed
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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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### Model Description
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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 generate... | {"library_name": "transformers", "tags": []} | SkittlesForAron/NeuralHermes-2.5-Mistral-7B | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Sebastianzhao0627
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | Sebastianzhao0627/full_model_544 | null | [
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|
# Uploaded model
- Developed by: Sebastianzhao0627
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | HariskhanRLLR/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-03T19:24:11+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="yann-j/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | yann-j/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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"reinforcement-learning",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | marinowskiii/vurgun-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T19:25:13+00:00 | [
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] | [] | 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]:
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text-generation | transformers |
<div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6408c495b6a334f53e22b612/PxijQHhlgFOsgfxDMZom9.png" alt="Alt Text" width="450"/>
<h1>🌌 AuroraRP: The Mixtral Roleplay Merge 🌌</h1>
This Model is a task_arithmetic merge of various good performing Mixtral based roleplay models... | {"library_name": "transformers", "tags": ["roleplay", "rp", "mergekit", "merge"]} | Fredithefish/AuroraRP-8x7B | null | [
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"mergekit",
"merge",
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"text-generation-inference",
"region:us"
] | null | 2024-04-03T19:27:54+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #roleplay #rp #mergekit #merge #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<div align="center">
<img src="URL alt="Alt Text" width="450"/>
<h1> AuroraRP: The Mixtral Roleplay Merge </h1>
This Model is a task_arithmetic merge of various good performing Mixtral based roleplay models, created using <a href="URL repository.
</div>
<br><br>
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text-generation | transformers | # kululemon-spiked-9B
This is a frankenmerge of a pre-trained language model created using [mergekit](https://github.com/cg123/mergekit). As an experiment, this appears to be a partial success.
Lightly tested with temperature 1-1.2 and minP 0.01 with ChatML prompts; the model supports Alpaca prompts and has 8K contex... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["grimjim/kukulemon-7B"], "pipeline_tag": "text-generation"} | grimjim/kukulemon-spiked-9B | null | [
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| # kululemon-spiked-9B
This is a frankenmerge of a pre-trained language model created using mergekit. As an experiment, this appears to be a partial success.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="yann-j/q-FrozenLake-v1-4x4-slippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attrib... | {"tags": ["FrozenLake-v1-4x4", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-slippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4", "type": "FrozenLake-v1-4x4"}, "met... | yann-j/q-FrozenLake-v1-4x4-slippery | null | [
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"q-learning",
"reinforcement-learning",
"custom-implementation",
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#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
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] |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tiagoblima/gun-nlth-base | null | [
"transformers",
"safetensors",
"marian",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T19:32:59+00:00 | [
"1910.09700"
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#transformers #safetensors #marian #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | <!-- header start -->
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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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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# LED-Base-NSPCC
This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "allenai/led-base-16384", "model-index": [{"name": "LED-Base-NSPCC", "results": []}]} | scott156/LEDBaseExtra | null | [
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| LED-Base-NSPCC
==============
This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8119
* Rouge1: 0.4919
* Rouge2: 0.2198
* Rougel: 0.2828
* Rougelsum: 0.2827
Model description
-----------------
More information ne... | [
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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": []} | SOUMYADEEPSAR/bert_mbibpolbias | null | [
"transformers",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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_extractive_512_375
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge", "wer"], "base_model": "facebook/bart-large", "model-index": [{"name": "bart_extractive_512_375", "results": []}]} | jordanfan/bart_extractive_512_375 | null | [
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| bart\_extractive\_512\_375
==========================
This model is a fine-tuned version of facebook/bart-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9965
* Rouge1: 0.6939
* Rouge2: 0.4349
* Rougel: 0.6334
* Rougelsum: 0.6333
* Wer: 0.4534
Model description
----... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-ner_finer_139
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-ner_finer_139", "results": []}]} | OlesB/distilbert-base-uncased-finetuned-ner_finer_139 | null | [
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| distilbert-base-uncased-finetuned-ner\_finer\_139
=================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an 'nlpaueb/finer-139' dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0019
* Precision: 0.8112
* Recall: 0.8934... | [
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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/microsoft-phi-1-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
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"# 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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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. -->
# longt5_xl_sfd_20
This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["tau/scrolls"], "base_model": "google/long-t5-tglobal-xl", "model-index": [{"name": "longt5_xl_sfd_20", "results": []}]} | learn3r/longt5_xl_sfd_20 | null | [
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] | null | 2024-04-03T19:40:41+00:00 | [] | [] | TAGS
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| longt5\_xl\_sfd\_20
===================
This model is a fine-tuned version of google/long-t5-tglobal-xl on the tau/scrolls summ\_screen\_fd dataset.
It achieves the following results on the evaluation set:
* Loss: 4.8167
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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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. -->
# t2t-gun-nlth-from-stratch
This model is a fine-tuned version of [tiagoblima/gun-nlth-scratch](https://huggingface.co/tiagoblima/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "tiagoblima/gun-nlth-scratch", "model-index": [{"name": "t2t-gun-nlth-from-stratch", "results": []}]} | tiagoblima/t2t-gun-nlth-from-stratch | null | [
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| t2t-gun-nlth-from-stratch
=========================
This model is a fine-tuned version of tiagoblima/gun-nlth-scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.1127
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
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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. -->
# DialoGPT_EmpAI_small
This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/DialoGPT-small", "model-index": [{"name": "DialoGPT_EmpAI_small", "results": []}]} | LuangMV97/DialoGPT_EmpAI_small | null | [
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| DialoGPT\_EmpAI\_small
======================
This model is a fine-tuned version of microsoft/DialoGPT-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8442
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Undi95/Miqu-MS-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Miqu-MS-70B-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBlok... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Undi95/Miqu-MS-70B", "quantized_by": "mradermacher"} | mradermacher/Miqu-MS-70B-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/stable_boy_x4 | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<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/GroNLP-gpt2-small-italian-bnb-4bit-smashed | null | [
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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sentence-similarity | sentence-transformers |
# peulsilva/phrase-bert-setfit-500shots-RAFT-WIKI-QA
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | peulsilva/phrase-bert-setfit-500shots-RAFT-WIKI-QA | null | [
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# peulsilva/phrase-bert-setfit-500shots-RAFT-WIKI-QA
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-tra... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ruRoberta-distilled
This model is a fine-tuned version of [d0rj/ruRoberta-distilled](https://huggingface.co/d0rj/ruRoberta-disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "d0rj/ruRoberta-distilled", "model-index": [{"name": "ruRoberta-distilled", "results": []}]} | DimasikKurd/ruRoberta-distilled | null | [
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| ruRoberta-distilled
===================
This model is a fine-tuned version of d0rj/ruRoberta-distilled on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5241
* Precision: 0.5025
* Recall: 0.5723
* F1: 0.5351
* Accuracy: 0.9135
Model description
-----------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 100",
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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/GroNLP-gpt2-small-italian-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-to-image | diffusers | # Pekomama - Hololive
<Gallery />
## Model description
Pekomama From Hololive!
Trained on 1 outfit, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
## Trigger words
Default Outfit:... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "not-for-all-audiences"], "widget": [{"text": "score_9, score_8_up, score_7_up, uncensored, source_anime, 1girl, mature female, <lora:sppekomamadefXLPony:1> pekomamadef, thick eyebrows, bunny-shaped pupils, rabb... | Shalie/PekomamaPonyXL | null | [
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"base_model:AstraliteHeart/pony-diffusion-v6",
"license:other",
"region:us"
] | null | 2024-04-03T19:49:44+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #not-for-all-audiences #base_model-AstraliteHeart/pony-diffusion-v6 #license-other #region-us
| # Pekomama - Hololive
<Gallery />
## Model description
Pekomama From Hololive!
Trained on 1 outfit, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
## Trigger words
Default Outfit:... | [
"# Pekomama - Hololive\n\n<Gallery />",
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"## Trigger wo... | [
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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/Locutusque-gpt2-xl-conversational-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | null | GGUFs for KunoichiVerse-7B - https://huggingface.co/Ppoyaa/KunoichiVerse-7B
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Nitral-AI/Kunocchini-7b-128k-test", "MTSAIR/multi_verse_model"], "base_model": ["Nitral-AI/Kunocchini-7b-128k-test", "MTSAIR/multi_verse_model"]} | MarsupialAI/KunoichiVerse-7B_iMatrix_GGUF | null | [
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text-generation | transformers | <h1 style="text-align: center">Twizzler-7B</h1>
<div style="display: flex; justify-content: center;">
<img src="https://huggingface.co/son-of-man/Twizzler-7B/resolve/main/twizz.jpg" alt="Header JPG">
</div>
I tried to expand [Erosumika](https://huggingface.co/localfultonextractor/Erosumika-7B-v3) with more abil... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Severian/Nexus-IKM-Mistral-Instruct-v0.2-7B", "son-of-man/HoloViolet-7B-test3", "alpindale/Mistral-7B-v0.2-hf", "localfultonextractor/Erosumika-7B-v3"]} | son-of-man/Twizzler-7B | null | [
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<img src="URL alt="Header JPG">
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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/NousResearch-Yarn-Llama-2-7b-128k-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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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": []} | vkk1710/phi2-AutoNER-v3 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T19:59:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | seachus/coursework | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | alexjones1925/ibotta-gp-walmart-search-clicks-upcmatching-joint-v1 | null | [
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|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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text-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. -->
# turkishReviews-ds-mini
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves th... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "gpt2", "model-index": [{"name": "turkishReviews-ds-mini", "results": []}]} | saasdsfsfsdsds/turkishReviews-ds-mini | null | [
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| turkishReviews-ds-mini
======================
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 9.3426
* Validation Loss: 9.4495
* Epoch: 2
Model description
-----------------
More information needed
Intended uses & limitat... | [
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text2text-generation | transformers |
# Model Card for nllb-deu-moo-v2
This is an [NLLB-200-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) model fine-tuned for translating between
German and the Northern Frisian dialect Mooring following [this great blogpost](https://cointegrated.medium.com/a37fc706b865).
## Limitations
This model shoul... | {"language": ["de", "frr"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "facebook/nllb-200-distilled-600M", "widget": [{"text": "Momme booget \u00f6nj Naibel.", "example_title": "Example with names"}, {"text": "Et wus m\u00e5n en d\u00e4iken stroote ful foon d\u00e4ike manschne.", "example_... | CmdCody/nllb-deu-moo-v2 | null | [
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| Model Card for nllb-deu-moo-v2
==============================
This is an NLLB-200-600M model fine-tuned for translating between
German and the Northern Frisian dialect Mooring following this great blogpost.
Limitations
-----------
This model should be considered no more than a demo.
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text-classification | transformers |
#### Svensk BERT-modell för sentimentanalys
#### Tolkning av labels när man använder APIn
"Label 0": negativt sentiment
"Label 1": positivt sentiment
### Den ursprungliga modellen
Den ursprungliga modellen består av "bert-base-swedish-cased" från https://huggingface.co/KB/bert-base-swedish-cased
### Fine tuning
... | {"license": "mit"} | Lazycyborg/SwBERTforSent | null | [
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|
#### Svensk BERT-modell för sentimentanalys
#### Tolkning av labels när man använder APIn
"Label 0": negativt sentiment
"Label 1": positivt sentiment
### Den ursprungliga modellen
Den ursprungliga modellen består av "bert-base-swedish-cased" från URL
### Fine tuning
Modellen har sedan tränats ScandiSent ett data... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ruRoberta-distilledMinus
This model is a fine-tuned version of [d0rj/ruRoberta-distilled](https://huggingface.co/d0rj/ruRoberta-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "d0rj/ruRoberta-distilled", "model-index": [{"name": "ruRoberta-distilledMinus", "results": []}]} | DimasikKurd/ruRoberta-distilledMinus | null | [
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| ruRoberta-distilledMinus
========================
This model is a fine-tuned version of d0rj/ruRoberta-distilled on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6662
* Precision: 0.5571
* Recall: 0.5549
* F1: 0.5560
* Accuracy: 0.9094
Model description
-----------------
M... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712175162602x239492511781173920
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/Venom_Punisher"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712175162602x239492511781173920 | null | [
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"region:us"
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|
# LoRA DreamBooth - squaadinc/1712175162602x239492511781173920
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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question-answering | transformers | * The model was fine-tuned from `FacebookAI/roberta-large` on `rajpurkar/squad` for 3 epochs.
* The model achieved an exact-match score of 89.5 and an f-1 score of 94.7. | {"language": ["en"], "library_name": "transformers", "datasets": ["rajpurkar/squad"], "metrics": ["squad"], "pipeline_tag": "question-answering"} | Dingyun-Huang/roberta-large-squad1 | null | [
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"roberta",
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| * The model was fine-tuned from 'FacebookAI/roberta-large' on 'rajpurkar/squad' for 3 epochs.
* The model achieved an exact-match score of 89.5 and an f-1 score of 94.7. | [] | [
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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-llama-2-ko-7b-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</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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null | null | Update: User (@concendo) asked if these were pre/post the 4/3 update to llama.cpp, everything was reqauntized with 4/18 version of llama.cpp since I wasn't sure.
Note: qx-k-m quants are not as good as the qx-0, something about the 'k' process doesn't play nice with mixtral.
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# result
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xl... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "result", "results": []}]} | midoiv/result | null | [
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| result
======
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0001
* Accuracy: {'accuracy': 1.0}
* F1score: {'f1': 1.0}
Model description
-----------------
More information needed
Intended uses & limi... | [
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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": []} | 0x0son0/ml_11 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | # output-model-directory
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using Yi-34B-200K as a base.
### Models Merged
The foll... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | PositiveJay/Tesel | null | [
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### Merge Method
This model was merged using the Model Stock merge method using Yi-34B-200K as a base.
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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": []} | SOUMYADEEPSAR/bert_mbibpolbias1 | null | [
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## Model Details
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
<p align="center">
<img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1-GGUF/raw/main/speakleash_cyfronet.png">
</p>
# Bielik-7B-Instruct-v0.1-MLX
This model was converted to MLX format from [SpeakLeash](https://speakleash.org/)'s [Bielik-7B-Instruct-v0.1](https://huggingface.co/speakleash/Bielik-7B-... | {"language": ["pl"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["finetuned", "mlx"], "inference": false} | speakleash/Bielik-7B-Instruct-v0.1-MLX | null | [
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|
<p align="center">
<img src="URL
</p>
# Bielik-7B-Instruct-v0.1-MLX
This model was converted to MLX format from SpeakLeash's Bielik-7B-Instruct-v0.1.
## Use with mlx
### Model description:
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* Language: Polish
* Model type: causal decoder-only
* Finetuned from: Bielik-7B-v0.1
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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. -->
# QURANIC Whisper Large V3 - 10000
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/w... | {"language": ["ar"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["ahishamm/QURANICWhisperDataset"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "QURANIC Whisper Large V3 - 10000", "results": [{"task": {"type": "automatic-speec... | ahishamm/finetuned-whisper-quranic-large-v3-10000 | null | [
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| QURANIC Whisper Large V3 - 10000
================================
This model is a fine-tuned version of openai/whisper-large-v3 on the QURANICWhisperDataset dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2528
* Wer: 99.9391
Model description
-----------------
More information needed... | [
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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": []} | SOUMYADEEPSAR/bert_transfer1 | 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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question-answering | 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. -->
# adlard/my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unca... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "adlard/my_awesome_qa_model", "results": []}]} | adlard/my_awesome_qa_model | null | [
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| adlard/my\_awesome\_qa\_model
=============================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.5725
* Validation Loss: 1.7984
* Epoch: 2
Model description
-----------------
More information... | [
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text-generation | transformers |
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<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers |
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text-generation | transformers |
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text-generation | transformers |
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<!-- Provide a quick summary of what the model is/does. -->
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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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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
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null | transformers | GGUFs for Hercules-Qwen 1.5 14B - https://huggingface.co/M4-ai/Hercules-Qwen1.5-14B
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text-generation | transformers | <!-- header start -->
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null | transformers |
# Model Card for Model ID
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question-answering | 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. -->
# nithin666/bert-finetuned-squad-1epoch
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) ... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-cased", "model-index": [{"name": "nithin666/bert-finetuned-squad-1epoch", "results": []}]} | nithin666/bert-finetuned-squad-5epoch | null | [
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| nithin666/bert-finetuned-squad-1epoch
=====================================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.2847
* Epoch: 0
Model description
-----------------
More information needed
Intended... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | olvbm/alexandria-gemma | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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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
## 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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image-classification | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This model card provides comprehensive information about the model's architecture, training data, evaluation metrics, and environmental impact.
## Model Details
### Model Description
This model is a pre-trained model for image cl... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Diffusors", "GanDetectors", "Cifake"], "datasets": ["Hemg/cifake-real-and-ai-generated-synthetic-images"], "metrics": ["accuracy"]} | AashishKumar/AIvisionGuard-v2 | 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": []} | areegtarek/idefics-9b-instruct-3batchesoneepoch-1-2-3-abnormal2epochsfreeze | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jondurbin/airoboros-l2-70b-2.2
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/airoboros-l2-70b-2.2-i1-GGUF
## Usage
If you are unsure how to use GGUF files, ref... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "datasets": ["jondurbin/airoboros-2.2"], "base_model": "jondurbin/airoboros-l2-70b-2.2", "quantized_by": "mradermacher"} | mradermacher/airoboros-l2-70b-2.2-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
Mixture of Experts enable models to be pretrained with far less compute, which means you can dramatically scale up the model or dataset size with the same compute budget as a dense model. In particular, a MoE model should achieve the same quality as its dense counterpart much faster during pretraining. gate network or... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["biology", "legal", "not-for-all-audiences", "medical", "chemistry", "moe", "merge", "music", "Cyber-Series", "Mixture-Of-Experts"]} | LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4 | null | [
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|
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jambroz/FNCARL-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "jambroz/FNCARL-7b", "quantized_by": "mradermacher"} | mradermacher/FNCARL-7b-GGUF | null | [
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] | TAGS
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | 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. -->
# My_script_50pct_LLM_pretraining
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistral... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "My_script_50pct_LLM_pretraining", "results": []}]} | Serega6678/My_script_50pct_LLM_pretraining | null | [
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| My\_script\_50pct\_LLM\_pretraining
===================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9493
Model description
-----------------
More information neede... | [
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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": []} | SOUMYADEEPSAR/bert_transfer2 | 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": []} | OwOOwO/stable_boy_x4_2 | null | [
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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. -->
# mamba_text_classification_1
This model was trained from scratch on an unknown dataset.
It achieves the following results on the ... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "mamba_text_classification_1", "results": []}]} | badrabbitt/mamba_text_classification_1 | null | [
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| mamba\_text\_classification\_1
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* Loss: 0.2005
* Accuracy: 0.9396
Model description
-----------------
More information needed
Intended uses & limitations
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
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text-generation | transformers |
# ECE-TW3-JRGL-V1
## This model has been produced by :
- [Louis Garcia](https://www.linkedin.com/in/louis-garcia-profil/), engineering student at [French Engineering School ECE](https://www.ece.fr/en/)
- [Matthieu Jollard](https://www.linkedin.com/in/matthieu-jollard/), engineering student at [French Engineering Sch... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "ShinojiResearch/Senku-70B-Full", "152334H/miqu-1-70b-sf"]} | paloalma/ECE-TW3-JRGL-V1 | null | [
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# ECE-TW3-JRGL-V1
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# Qwen1.5-32B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and ... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/Qwen1.5-32B-Chat | null | [
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# Qwen1.5-32B-Chat
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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": []} | 0x0uncle0/uncle24 | null | [
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text-generation | transformers | <!-- header start -->
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![Twitter](URL
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