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token-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. -->
# Ketki0203/punctuation-predict
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-mu... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-multilingual-cased", "model-index": [{"name": "Ketki0203/punctuation-predict", "results": []}]} | Ketki0203/punctuation-predict | null | [
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"region:us"
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#transformers #tf #bert #token-classification #generated_from_keras_callback #base_model-bert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| Ketki0203/punctuation-predict
=============================
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: nan
* Validation Loss: nan
* Epoch: 0
Model description
-----------------
More information ... | [
"### 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': 2e-05, 'decay\\_steps': 300, 'end\\_learnin... | [
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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": []} | DocDuck/FRED-T5-large-1e-4-3ep | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | null | # Prodigy SM Base v0.1
<img src="https://cdn-uploads.huggingface.co/production/uploads/617bbeec14572ebe9e6ea83f/4p2zaOWu6kTS3fcbevHef.png" width="70%" height="70%">
In our latest endeavour, we performed continued pre-training of a large language model (Mistral-7b-v0.1) to understand and generate text in new languages... | {"language": ["en", "sr", "hr", "bs"], "license": "apache-2.0"} | draganjovanovich/prodigy-sm-base-v0.1-GGUF | null | [
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| # Prodigy SM Base v0.1
<img src="URL width="70%" height="70%">
In our latest endeavour, we performed continued pre-training of a large language model (Mistral-7b-v0.1) to understand and generate text in new languages, including Serbian, Bosnian and Croatian using an innovative approach.
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text-to-image | diffusers |
# pure Evolution V5-inpainting API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "pure-e... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/pure-evolution-v5-inpaint | null | [
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"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
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#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# pure Evolution V5-inpainting API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "pure-evolution-v5-inpaint"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Gene... | [
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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": []} | deepnet/BSN630-TunedLlama3 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T12:19:53+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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... | I1v2i3v4/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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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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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": []} | HenryCai1129/adapter-llama-adapterhappy2sad-2k-50-0.004 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | deadcode99/mistral-7b-lime-only-question-aware-agnostic-1-epoch | null | [
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# Model Card for Model ID
## Model Details
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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. -->
# single-practice-fine-tuning-eeve
This model is a fine-tuned version of [yanolja/EEVE-Korean-Instruct-10.8B-v1.0](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "yanolja/EEVE-Korean-Instruct-10.8B-v1.0", "model-index": [{"name": "single-practice-fine-tuning-eeve", "results": []}]} | uine/single-practice-fine-tuning-eeve-adapter | null | [
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|
# single-practice-fine-tuning-eeve
This model is a fine-tuned version of yanolja/EEVE-Korean-Instruct-10.8B-v1.0 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
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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": []} | AVMLegend/Phi-2-quantization | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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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. -->
# shawgpt-ft
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "shawgpt-ft", "results": []}]} | AVMLegend/shawgpt-ft | null | [
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| shawgpt-ft
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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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. -->
# digital-TA
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unk... | {"license": "mit", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "openai-community/gpt2", "model-index": [{"name": "digital-TA", "results": []}]} | NTTUNLPTEAM/digital-TA | null | [
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|
# digital-TA
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers |
<!-- 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. -->
# stablelm-2-1_6b-sft-full-spin-sigmoid-iter0_1_61101_bad_responses_0_1
This model is a fine-tuned version of [nnheui/stablelm-2-1... | {"license": "other", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["nnheui/stablelm-2-1_6b-sft-full-ultrachat_200k_generated-1_61101"], "base_model": "nnheui/stablelm-2-1_6b-sft-full", "model-index": [{"name": "stablelm-2-1_6b-sft-full-spin-... | nnheui/stablelm-2-1_6b-sft-full-spin-sigmoid-iter0_1_61101_bad_responses_0_1 | null | [
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# stablelm-2-1_6b-sft-full-spin-sigmoid-iter0_1_61101_bad_responses_0_1
This model is a fine-tuned version of nnheui/stablelm-2-1_6b-sft-full on the nnheui/stablelm-2-1_6b-sft-full-ultrachat_200k_generated-1_61101 dataset.
## Model description
More information needed
## Intended uses & limitations
More informat... | [
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null | null |
Quantized Llama 3 8B to Q40 format supported by [Distributed Llama](https://github.com/b4rtaz/distributed-llama).
## License
Before download this repository please accept [Llama 3 Community License](https://llama.meta.com/llama3/license/).
## How to run
1. Clone this repository.
2. Clone Distributed Llama:
```sh
g... | {"license": "llama3"} | b4rtaz/llama-3-8b-distributed-llama | null | [
"license:llama3",
"region:us"
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#license-llama3 #region-us
|
Quantized Llama 3 8B to Q40 format supported by Distributed Llama.
## License
Before download this repository please accept Llama 3 Community License.
## How to run
1. Clone this repository.
2. Clone Distributed Llama:
3. Build Distributed Llama:
4. Run Distributed Llama:
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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": []} | deepnet/BSN677-TunedStableLM | null | [
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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": []} | suke0327/whisper-large_even_en | null | [
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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... | HusseinEid/ppo-LunarLander-v2-from-scratch | null | [
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This is a trained model of a PPO agent playing LunarLander-v2.
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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": []} | luisespinosa/trust-merged_dataset_mdeberta-v3_30epoch | 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. -->
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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": []} | Hinno/incoder-1B-flutter-finetuned | 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": []} | shallow6414/v8831xs | 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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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-samsum
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknow... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "bart-samsum", "results": []}]} | Mu7annad/t5-samsum | null | [
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|
# bart-samsum
This model is a fine-tuned version of google/flan-t5-base 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 f... | [
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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": []} | tensorplex-labs/pretraining-sn9-7B-3 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
## Lumimaid 0.1
<center><div style="width: 100%;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/630dfb008df86f1e5becadc3/d3QMaxy3peFTpSlWdWF-k.png" style="display: block; margin: auto;">
</div></center>
This model uses the Llama3 **prompting format**
Llama3 trained on our RP datasets, we trie... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw"]} | NeverSleep/Llama-3-Lumimaid-70B-v0.1 | null | [
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] | null | 2024-04-28T12:42:49+00:00 | [] | [] | TAGS
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|
## Lumimaid 0.1
<center><div style="width: 100%;">
<img src="URL style="display: block; margin: auto;">
</div></center>
This model uses the Llama3 prompting format
Llama3 trained on our RP datasets, we tried to have a balance between the ERP and the RP, not too horny, but just enough.
We also added some non-RP... | [
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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. -->
# fineTuneIncoderWithPrompt
This model is a fine-tuned version of [facebook/incoder-1B](https://huggingface.co/facebook/incoder-1B... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "base_model": "facebook/incoder-1B", "model-index": [{"name": "fineTuneIncoderWithPrompt", "results": []}]} | Hinno/fineTuneIncoderWithPrompt | null | [
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| fineTuneIncoderWithPrompt
=========================
This model is a fine-tuned version of facebook/incoder-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1699
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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null | null |
# On-chain llama2.c - Internet Computer
- Run on-chain (Internet Computer) with [icpp_llm/llama2_c](https://github.com/icppWorld/icpp_llm/tree/main/llama2_c)
- Run local with [karpathy/llama2.c](https://github.com/karpathy/llama2.c)
- Try them out at [ICGPT](https://icgpt.icpp.world/)
- The models were created with... | {"language": ["en"], "license": "mit"} | onicai/llama2_c_canister_models | null | [
"en",
"license:mit",
"region:us"
] | null | 2024-04-28T12:43:48+00:00 | [] | [
"en"
] | TAGS
#en #license-mit #region-us
| On-chain llama2.c - Internet Computer
=====================================
* Run on-chain (Internet Computer) with icpp\_llm/llama2\_c
* Run local with karpathy/llama2.c
* Try them out at ICGPT
* The models were created with the training procedure outlined in karpathy/llama2.c
TinyStories models
------------------... | [] | [
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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="nishant97/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"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": ... | nishant97/q-FrozenLake-v1-4x4-noSlippery | null | [
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"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-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. -->
# results
This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-hate](https://huggingface.co/cardiffnlp/twitter-r... | {"tags": ["generated_from_trainer"], "base_model": "cardiffnlp/twitter-roberta-base-hate", "model-index": [{"name": "results", "results": []}]} | thranduil2/results | null | [
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"generated_from_trainer",
"base_model:cardiffnlp/twitter-roberta-base-hate",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T12:46:27+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-cardiffnlp/twitter-roberta-base-hate #autotrain_compatible #endpoints_compatible #region-us
|
# results
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-hate 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 hyperpara... | [
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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": []} | galbitang/kogpt2-musinsa-1000 | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# flammen22C-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on [flammenai/casual-conversation-DPO](https://huggingface.co/datasets/flammenai/casual-conversation-DPO).
Flammen specialize... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["flammenai/casual-conversation-DPO"], "base_model": ["flammenai/flammen22-mistral-7B"]} | flammenai/flammen22C-mistral-7B | null | [
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|
!image/png
# flammen22C-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on flammenai/casual-conversation-DPO.
Flammen specializes in exceptional character roleplay, creative writing, and general intelligence
### Method
Finetuned using an A100 on Google Colab.
Fine-tune a Mistral-7... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [gradie... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["gradientai/Llama-3-8B-Instruct-262k", "Nitral-AI/Echidna-7b-128k"]} | Jebadiah/Aria-daughter-128k | null | [
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"regi... | null | 2024-04-28T12:50:19+00:00 | [
"2203.05482"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #arxiv-2203.05482 #base_model-gradientai/Llama-3-8B-Instruct-262k #base_model-Nitral-AI/Echidna-7b-128k #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* gradientai/Llama-3-8B-Instruct-262k
* Nitral-AI/Echidna-7b-128k
### Configurati... | [
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"### Merge Method\n\nThis model was merged using the linear merge method.",
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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. -->
# sentiment_bert_model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-uncased", "model-index": [{"name": "sentiment_bert_model", "results": []}]} | MariamKili/sentiment_bert_model | null | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-28T12:50:51+00:00 | [] | [] | TAGS
#transformers #tf #bert #text-classification #generated_from_keras_callback #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
|
# sentiment_bert_model
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
"# sentiment_bert_model\n\nThis model is a fine-tuned version of bert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-squad-qg
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It ac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-small", "model-index": [{"name": "t5-small-squad-qg", "results": []}]} | Gizachew/t5-small-squad-qg | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:t5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T12:51:00+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-squad-qg
=================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2888
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informati... | [
"### 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: 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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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="nishant97/taxi-balle-balle", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=Fal... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi-balle-balle", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "... | nishant97/taxi-balle-balle | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-28T12:52:55+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
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] |
null | transformers |
# Ransss/flammen22-mistral-7B-Q8_0-GGUF
This model was converted to GGUF format from [`flammenai/flammen22-mistral-7B`](https://huggingface.co/flammenai/flammen22-mistral-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Doctor-Shotgun/theory-of-mind-dpo"], "base_model": ["flammenai/flammen21X-mistral-7B"]} | Ransss/flammen22-mistral-7B-Q8_0-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:Doctor-Shotgun/theory-of-mind-dpo",
"base_model:flammenai/flammen21X-mistral-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T12:55:08+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #dataset-Doctor-Shotgun/theory-of-mind-dpo #base_model-flammenai/flammen21X-mistral-7B #license-apache-2.0 #endpoints_compatible #region-us
|
# Ransss/flammen22-mistral-7B-Q8_0-GGUF
This model was converted to GGUF format from 'flammenai/flammen22-mistral-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serve... | [
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"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI... | [
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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": []} | malteklaes/based-roBERTa-hyperparameter-llm-module-uniVienna | null | [
"transformers",
"tensorboard",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T12:55:56+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #tensorboard #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | AmalgamationXL V2-X-Tau
https://civitai.com/models/287016
As you can expect I've merged the new JuggernautXL_X_RunDiffusion model into AmalgamationXL. Had done a few merges before hand as well which I hadn't uploaded hence the jump to V2 | {} | Excido/AmalgamationXL-V2-X | null | [
"region:us"
] | null | 2024-04-28T12:57:17+00:00 | [] | [] | TAGS
#region-us
| AmalgamationXL V2-X-Tau
URL
As you can expect I've merged the new JuggernautXL_X_RunDiffusion model into AmalgamationXL. Had done a few merges before hand as well which I hadn't uploaded hence the jump to V2 | [] | [
"TAGS\n#region-us \n"
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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": []} | elliotthwangmsa/Phi-3-mini-4k_zh | null | [
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"conversational",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T13:03:05+00:00 | [
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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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image-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.024314267560839653
f1_macro: 0.9658727975316271
f1_micro: 0.9869706840390879
f1_weighted: 0.9870710775300107
precision_macro: 0.9601010101010101
precision_micro: 0.9869706840390879
precision_weighted: 0.987242128... | {"tags": ["autotrain", "image-classification"], "datasets": ["autotrain-gabc1-1xtqw/autotrain-data"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg", "exam... | farkmu45/autotrain-gabc1-1xtqw | null | [
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"autotrain",
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"endpoints_compatible",
"has_space",
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|
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.024314267560839653
f1_macro: 0.9658727975316271
f1_micro: 0.9869706840390879
f1_weighted: 0.9870710775300107
precision_macro: 0.9601010101010101
precision_micro: 0.9869706840390879
precision_weighted: 0.987242128... | [
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null | null |
## Lumimaid 0.1
<center><div style="width: 100%;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/630dfb008df86f1e5becadc3/d3QMaxy3peFTpSlWdWF-k.png" style="display: block; margin: auto;">
</div></center>
May 1st 2024: GGUF have been fixed with [this PR of llama.cpp](https://github.com/ggerganov... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw"]} | NeverSleep/Llama-3-Lumimaid-70B-v0.1-GGUF | null | [
"gguf",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-28T13:04:48+00:00 | [] | [] | TAGS
#gguf #not-for-all-audiences #nsfw #license-cc-by-nc-4.0 #region-us
|
## Lumimaid 0.1
<center><div style="width: 100%;">
<img src="URL style="display: block; margin: auto;">
</div></center>
May 1st 2024: GGUF have been fixed with this PR of URL
This model uses the Llama3 prompting format
Llama3 trained on our RP datasets, we tried to have a balance between the ERP and the RP, no... | [
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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 a multi label encoder SLM. It clasiffies text for NSFW, Hate Speech, and Bullying. The output is a probability between 0 a... | {"library_name": "transformers", "tags": []} | borodache/distilBERT_toxic_detector_multi_label | null | [
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"1910.09700"
] | [] | TAGS
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|
# Model Card for Model ID
## Model Details
### Model Description
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | YorkieOH10/phi-3-on-mac | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Meta-Llama-3-70B - bnb 4bits
- Model creator: https://huggingface.co/NousResearch/
- Original model: https://huggingface.co/... | {} | RichardErkhov/NousResearch_-_Meta-Llama-3-70B-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Meta-Llama-3-70B - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
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null | transformers |
# Uploaded model
- **Developed by:** windopper
- **License:** apache-2.0
- **Finetuned from model :** yanolja/EEVE-Korean-Instruct-10.8B-v1.0
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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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/ufb10f2 | 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
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** ARC_LLM_3b
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/unslothai/unsloth/main/images/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "ARC_LLM_3b"} | LeroyDyer/ARC_LLM_3b | null | [
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# Uploaded model
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null | null |
# T3qMistroll-7B
T3qMistroll-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
- model: BarraHome/Mistroll-7B-v2.2
merge... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/T3qMistroll-7B | null | [
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|
# T3qMistroll-7B
T3qMistroll-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | adldl/text-classif-200-checkpoint-4500 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-1b_mz-131f_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.co/EleutherAI... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-131f_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-131f_IMDB | null | [
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|
# robust_llm_pythia-1b_mz-131f_IMDB
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
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More information needed
## Intended uses & limitations
More information needed
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More information needed
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null | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** ARC_LLM_3b
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "ARC_LLM_3b"} | LeroyDyer/ARC_3b | null | [
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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. -->
# sexism_in_memes
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "sexism_in_memes", "results": []}]} | thranduil2/sexism_in_memes | null | [
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|
# sexism_in_memes
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 hyperparameter... | [
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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. -->
# roberta-base-finetuned-cola-hps
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["matthews_correlation"], "model-index": [{"name": "roberta-base-finetuned-cola-hps", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "glue", "type": "glue", "args": "cola"}, ... | rensendata/roberta-base-finetuned-cola-hps | null | [
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| roberta-base-finetuned-cola-hps
===============================
This model is a fine-tuned version of roberta-base on the glue dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4407
* Matthews Correlation: 0.4499
Model description
-----------------
More information needed
Intended us... | [
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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": []} | Imohsinali/bert-fine-tuned-cola | null | [
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null | transformers |
# Model Card for Model ID
<!-- 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
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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 Eng - Three samples
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whi... | {"language": ["eng"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["Svetlana0303/my_eng_texts_6"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Eng - Three samples", "results": [{"task": {"type": "automatic-speech-recognition", "name": "A... | Svetlana0303/whisper-small-hi | null | [
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| Whisper Small Eng - Three samples
=================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice MY dataset.
It achieves the following results on the evaluation set:
* Loss: 5.1836
* Wer: 100.0
Model description
-----------------
More information needed
Intend... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Nkr3ch17
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | Nkr3ch17/llama-3-8b-Instruct-bnb-4bit-medical | null | [
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null | null |
# hus960/base-7b-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from [`internistai/base-7b-v0.2`](https://huggingface.co/internistai/base-7b-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingfac... | {"language": ["en"], "license": "apache-2.0", "tags": ["medical", "llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/OpenOrca", "pubmed", "medmcqa", "maximegmd/medqa_alpaca_format"], "metrics": ["accuracy"], "base_model": "mistralai/Mistral-7B-v0.1", "tag": "text-generation"} | hus960/base-7b-v0.2-Q4_K_M-GGUF | null | [
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|
# hus960/base-7b-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from 'internistai/base-7b-v0.2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
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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": []} | deepnet/BSN667-TunedLlama3 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** seandearnaley
- **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/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | seandearnaley/mistral7b-sentimentanalysis | null | [
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|
# Uploaded model
- Developed by: seandearnaley
- 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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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
<!-- 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": []} | golf2248/xztpoa3 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Phi2 Haiku Writer in Italian language v0.2
Prompt from the generation inference:
```
Narration: In a land of ancient wisdom and profound teachings, Suspended moon,in the autumn darkness,infinite peace
```
<img src="https://i.postimg.cc/htjL4cK7/Default-Narration-In-a-land-of-ancient-wisdom-and-profound-tea-0.jp... | {"language": ["it"], "license": "mit", "tags": ["haiku", "japan", "synthetic"], "datasets": ["WasamiKirua/haiku-phi2-ita-v0.2"], "task_categories": ["text-generation"], "pipeline_tag": "text-generation"} | WasamiKirua/phi2-haiku-ita-v0.2 | null | [
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|
# Phi2 Haiku Writer in Italian language v0.2
Prompt from the generation inference:
<img src="https://i.URL alt="cover" border="0" width="1024px">
The v0.2 is the result of a huge dataset improvement and enrichment process. A DPO version will follow soon !
## Wandb train/loss - eval/loss
<img src="https://i.... | [
"# Phi2 Haiku Writer in Italian language v0.2\n\nPrompt from the generation inference: \n\n\n\n\n<img src=\"https://i.URL alt=\"cover\" border=\"0\" width=\"1024px\">\n\n\nThe v0.2 is the result of a huge dataset improvement and enrichment process. A DPO version will follow soon !",
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null | null |
<!-- header start -->
<div style="width: 100%;">
<img src="https://huggingface.co/FPHam/Marvin_TheGrumpyOldAssistant_13B-HF/resolve/main/marvin.jpg" alt="FPHam's Marvin" style="width: 80%; min-width: 200px; display: block; margin: auto;">
</div>
<div style="display: flex; flex-direction: column; align-items: cente... | {"tags": ["llm", "llama2", "marvin", "funny", "model", "llama-cpp", "gguf-my-repo"]} | FPHam/Marvin_TheGrumpyOldAssistant_13B-HF-Q8_0-GGUF | null | [
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<p><a href="URL me Ko-fi</a></p>
</div>
Marvin has a strange bitter-sweet, yet somehow e... | [
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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. -->
# zephyr-7b-sft-qlora-20p
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistr... | {"library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-qlora-20p", "results": []}]} | terry69/zephyr-7b-sft-qlora-20p | null | [
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| zephyr-7b-sft-qlora-20p
=======================
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: 0.9167
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n... | [
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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": []} | shallow6414/6etlx27 | 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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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": []} | yonyou-sg/nllb-zh-thai-80k | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | null |
# hus960/Nxcode-CQ-7B-orpo-Q4_K_M-GGUF
This model was converted to GGUF format from [`NTQAI/Nxcode-CQ-7B-orpo`](https://huggingface.co/NTQAI/Nxcode-CQ-7B-orpo) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hugging... | {"license": "mit", "tags": ["code", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | hus960/Nxcode-CQ-7B-orpo-Q4_K_M-GGUF | null | [
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"gguf-my-repo",
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#gguf #code #llama-cpp #gguf-my-repo #text-generation #license-mit #region-us
|
# hus960/Nxcode-CQ-7B-orpo-Q4_K_M-GGUF
This model was converted to GGUF format from 'NTQAI/Nxcode-CQ-7B-orpo' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
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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. -->
# RewardModel
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-... | {"library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "RewardModel", "results": []}]} | Abhay11/RewardModel | null | [
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#peft #safetensors #trl #reward-trainer #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.1 #region-us
| RewardModel
===========
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7352
* Accuracy: 0.8753
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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null | peft | ## Training procedure
### Framework versions
- PEFT 0.4.0
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#peft #llava #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": []} | shallow6414/6xqg9me | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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null | null |
<!-- header start -->
<div style="width: 100%;">
<img src="https://huggingface.co/FPHam/Marvin_TheGrumpyOldAssistant_13B-HF/resolve/main/marvin.jpg" alt="FPHam's Marvin" style="width: 80%; min-width: 200px; display: block; margin: auto;">
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<p><a href="URL me Ko-fi</a></p>
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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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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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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. -->
# roberta_base_QA_SQUAD
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "roberta_base_QA_SQUAD", "results": []}]} | galkowskim/roberta_base_QA_SQUAD | null | [
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# roberta_base_QA_SQUAD
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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### Training hyperpar... | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model trained on the [SetFit/SentEval-CR](https://huggingface.co/datasets/SetFit/SentEval-CR) dataset that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphras... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "datasets": ["SetFit/SentEval-CR"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-mpnet-base-v2", "widget": [{"text": "you can take pic of your friends and the pictu... | vijay8642/my-awesome-setfit-model | null | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
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sentence-similarity | sentence-transformers |
# seregadgl101/baii_pr_v1_2ep
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 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 be... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | seregadgl101/baii_pr_v1_2ep | null | [
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# seregadgl101/baii_pr_v1_2ep
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 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:
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null | null | <!-- header start -->
<div style="width: 100%;">
<img src="https://huggingface.co/FPHam/Marvin_TheGrumpyOldAssistant_13B-HF/resolve/main/marvin.jpg" alt="FPHam's Marvin" style="width: 80%; min-width: 200px; display: block; margin: auto;">
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<p><a href="URL me Ko-fi</a></p>
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"# FPHam/Marvin_TheGrumpyOldAssistant_13B-HF-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'FPHam/Marvin_TheGrumpyOldAssistant_13B-HF' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card ... | [
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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="MalumaDev/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"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": ... | MalumaDev/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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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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] |
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. -->
# longformer_base_4096_QA_SQUAD
This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allena... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/longformer-base-4096", "model-index": [{"name": "longformer_base_4096_QA_SQUAD", "results": []}]} | galkowskim/longformer_base_4096_QA_SQUAD | null | [
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"longformer",
"question-answering",
"generated_from_trainer",
"base_model:allenai/longformer-base-4096",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T13:47:19+00:00 | [] | [] | TAGS
#transformers #safetensors #longformer #question-answering #generated_from_trainer #base_model-allenai/longformer-base-4096 #license-apache-2.0 #endpoints_compatible #region-us
|
# longformer_base_4096_QA_SQUAD
This model is a fine-tuned version of allenai/longformer-base-4096 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... | [
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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": []} | taoyoung/codeparrot-small2 | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | FelixChao/roberta-large-sst2-lora | null | [
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"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #roberta #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.
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- Funded by [optional]:
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- Language(s) (NLP):
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null | null | <!-- header start -->
<div style="display: flex; flex-direction: column; align-items: center;">
</div>
<div style="width: 100%;">
<img src="https://huggingface.co/FPHam/Writing_Partner_Mistral_7B/resolve/main/writer5.jpg" alt="Writing Partner" style="width: 70%; min-width: 200px; display: block; margin: auto;">
<... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "instruct", "finetune", "chatml", "gpt4", "llama-cpp", "gguf-my-repo"]} | FPHam/Writing_Partner_Mistral_7B-Q5_K_M-GGUF | null | [
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</div>
<div style="display: flex; flex-direction: column; align-items: center;">
<p><a href=... | [
"# FPHam/Writing_Partner_Mistral_7B-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'FPHam/Writing_Partner_Mistral_7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the 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": []} | SyedTalha/Mistral-7B-Instruct-v0.2-PEFT-adapters-v2 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T13:51:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | KaraSpdrnr/ChessPieces | null | [
"fastai",
"region:us",
"has_space"
] | null | 2024-04-28T13:53:56+00:00 | [] | [] | TAGS
#fastai #region-us #has_space
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
"# Amazing!\n\n Congratulations on hosting your fastai model on the Hugging Face Hub!",
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"# Amazing!\n\n Congratulations on hosting your fastai model on the Hugging Face Hub!",
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null | null |
<!-- header start -->
<div style="width: 100%;">
<img src="https://huggingface.co/FPHam/Sarah_StoryTeller_13b_HF/resolve/main/Sarah_writer.jpg" alt="FPHam's Sarah StoryTeller" style="width: 80%; min-width: 200px; display: block; margin: auto;">
</div>
<div style="display: flex; flex-direction: column; align-items:... | {"license": "llama2", "tags": ["llm", "llama", "spellcheck", "grammar", "llama-cpp", "gguf-my-repo"]} | FPHam/Sarah_StoryTeller_13b_HF-Q6_K-GGUF | null | [
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"llm",
"llama",
"spellcheck",
"grammar",
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<img src="URL alt="FPHam's Sarah StoryTeller" style="width: 80%; min-width: 200px; display: block; margin: auto;">
</div>
<div style="display: flex; flex-direction: column; align-items: center;">
<p><a href="URL Sarah Ko-fi</a></p>
</div>
# Sarah, StoryTeller
(Personality:... | [
"# Sarah, StoryTeller\n(Personality: Strong)\n\nSarah considers herself a real live wordsmith - although not necessarily one who actually gets paid for writing stuff yet - and claims to have produced literally hundreds of thousands of words on various subjects. Ask her how many and she will rattle off a long list w... | [
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image-classification | keras | # Dragon detector with Tensor Flow
This is a simple `tensorflow` model to detect dragon in images.
I trained it in Google colab, where you can find the original code in [training](training) directory,
however, if you just want to test the trained model, make sure you have the following packages:
```
tensorflow keras s... | {"license": "mit", "library_name": "keras", "tags": ["Keras", "dragon"], "pipeline_tag": "image-classification", "base_model": "VGG16"} | hadilq/dragon-notdragon | null | [
"keras",
"Keras",
"dragon",
"image-classification",
"base_model:VGG16",
"license:mit",
"region:us"
] | null | 2024-04-28T13:56:28+00:00 | [] | [] | TAGS
#keras #Keras #dragon #image-classification #base_model-VGG16 #license-mit #region-us
| # Dragon detector with Tensor Flow
This is a simple 'tensorflow' model to detect dragon in images.
I trained it in Google colab, where you can find the original code in training directory,
however, if you just want to test the trained model, make sure you have the following packages:
For instance, I am using the fol... | [
"# Dragon detector with Tensor Flow\nThis is a simple 'tensorflow' model to detect dragon in images.\nI trained it in Google colab, where you can find the original code in training directory,\nhowever, if you just want to test the trained model, make sure you have the following packages:\n\n\n\nFor instance, I am u... | [
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"TAGS\n#keras #Keras #dragon #image-classification #base_model-VGG16 #license-mit #region-us \n# Dragon detector with Tensor Flow\nThis is a simple 'tensorflow' model to detect dragon in images.\nI trained it in Google colab, where you can find the original code in training directory,\nhowever, if you just want to ... |
null | null |
<!-- header start -->
<div style="display: flex; flex-direction: column; align-items: center;">
</div>
<div style="width: 100%;">
<img src="https://huggingface.co/FPHam/OpenAutolycus-Mistral_7B/resolve/main/openautolycustitle.jpg" alt="Open Autolycus" style="width: 40%; min-width: 200px; display: block; margin: ... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "instruct", "finetune", "chatml", "gpt4", "llama-cpp", "gguf-my-repo"]} | FPHam/Autolycus-Mistral_7B-Q6_K-GGUF | null | [
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"en",
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"region:us"
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"en"
] | TAGS
#gguf #mistral #instruct #finetune #chatml #gpt4 #llama-cpp #gguf-my-repo #en #license-apache-2.0 #region-us
|
<div style="display: flex; flex-direction: column; align-items: center;">
</div>
<div style="width: 100%;">
<img src="URL alt="Open Autolycus" style="width: 40%; min-width: 200px; display: block; margin: auto;">
</div>
<div style="display: flex; flex-direction: column; align-items: center;">
<p><a href=... | [
"# FPHam/Autolycus-Mistral_7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'FPHam/Autolycus-Mistral_7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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"TAGS\n#gguf #mistral #instruct #finetune #chatml #gpt4 #llama-cpp #gguf-my-repo #en #license-apache-2.0 #region-us \n# FPHam/Autolycus-Mistral_7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'FPHam/Autolycus-Mistral_7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for mo... |
null | null |
# FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B-Q6_K-GGUF
This model was converted to GGUF format from [`FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B`](https://huggingface.co/FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-rep... | {"license": "llama2", "tags": ["llm", "llama", "spellcheck", "grammar", "llama-cpp", "gguf-my-repo"]} | FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B-Q6_K-GGUF | null | [
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#gguf #llm #llama #spellcheck #grammar #llama-cpp #gguf-my-repo #license-llama2 #region-us
|
# FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B-Q6_K-GGUF
This model was converted to GGUF format from 'FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_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 se... | [
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null | null | # OpenBuddy
## Requisitos
Para usar este modelo, necesitas tener instalado llama.cpp en tu equipo. Puedes obtener llama.cpp desde el siguiente repositorio:
- [Repositorio de llama.cpp](https://github.com/ggerganov/llama.cpp)
Para instalar llama.cpp, sigue estos pasos:
```bash
git clone http... | {"language": ["es", "en"], "tags": ["gguf", "llama.cpp", "openbuddy"]} | HirCoir/openbuddy-mistral2-7b-v20.3-32k-GGUF | null | [
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#gguf #llama.cpp #openbuddy #es #en #region-us
| # OpenBuddy
!Image
## Requisitos
Para usar este modelo, necesitas tener instalado URL en tu equipo. Puedes obtener URL desde el siguiente repositorio:
- Repositorio de URL
Para instalar URL, sigue estos pasos:
## Uso del modelo
La plantilla del modelo es la siguiente:
Puedes utilizar el modelo en URL con el ... | [
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"## Uso del modelo\n\nLa plantilla del modelo es la siguiente:\n\n\n\nPuedes utilizar ... | [
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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. -->
# fine-tuned-model
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patc... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "fine-tuned-model", "results": []}]} | Rageshhf/fine-tuned-model | null | [
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| fine-tuned-model
================
This model is a fine-tuned version of google/vit-base-patch16-224 on the Falah/Alzheimer\_MRI dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8720
* Accuracy: 0.5742
Model description
-----------------
More information needed
Intended uses & limita... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\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* num\\_epochs: 5",
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sentence-similarity | sentence-transformers |
# seregadgl101/baii_pr_v1_5ep
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 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 be... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | seregadgl101/baii_pr_v1_5ep | null | [
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#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# seregadgl101/baii_pr_v1_5ep
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 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:
... | [
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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": []} | shallow6414/9qfurli | null | [
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"region:us"
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|
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/lftg7ja | null | [
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zlm_b32_le4_s12000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts)... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "zlm_b32_le4_s12000", "results": []}]} | mikhail-panzo/zlm_b32_le4_s12000 | null | [
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| zlm\_b32\_le4\_s12000
=====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3178
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": []} | happylayers/sc73 | null | [
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