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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. -->
# flant5-finetuning
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flant5-finetuning", "results": []}]} | tuquyennnn/flant5-finetuning | null | [
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| flant5-finetuning
=================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0746
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
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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. -->
# cancerfarore/roberta-base-CancerFarore-Model-VERIF
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "cancerfarore/roberta-base-CancerFarore-Model-VERIF", "results": []}]} | cancerfarore/roberta-base-CancerFarore-Model-VERIF | null | [
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==================================================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
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* Train End Logits Accuracy: 0.7368
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null | transformers |
# Model Card for Model ID
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image-classification | transformers |
## Model Details
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null | transformers |
# Uploaded model
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- **License:** apache-2.0
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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sentence-similarity | sentence-transformers |
# seregadgl101/baii_v6_7ep
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 becom... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | seregadgl101/baii_v6_7ep | null | [
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text-generation | transformers |
# Uploaded model
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pegasus-samsum
This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_da... | {"tags": ["generated_from_trainer"], "base_model": "google/pegasus-cnn_dailymail", "model-index": [{"name": "pegasus-samsum", "results": []}]} | noahtolsen/pegasus-samsum | null | [
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"region:us"
] | null | 2024-05-02T21:04:27+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #pegasus #text2text-generation #generated_from_trainer #base_model-google/pegasus-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
| pegasus-samsum
==============
This model is a fine-tuned version of google/pegasus-cnn\_dailymail on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4600
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | null |
## 💫 Community Model> Llama 3 8B Instruct by Meta
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [meta-llama](https://huggingface.co/meta-llama)<br... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Ag... | lmstudio-community/Meta-Llama-3-8B-Instruct-BPE-fix-GGUF | null | [
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#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #base_model-meta-llama/Meta-Llama-3-8B-Instruct #region-us
|
## Community Model> Llama 3 8B Instruct by Meta
* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.
Model creator: meta-llama<br>
Original model: Meta-Llama-3-8B-Instruct<br>
GGUF quantization: provided by bartowski based on 'URL... | [
"## Community Model> Llama 3 8B Instruct by Meta\n\n* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.\n\nModel creator: meta-llama<br>\nOriginal model: Meta-Llama-3-8B-Instruct<br>\nGGUF quantization: provided by bartowski bas... | [
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text-generation | null |
## 💫 Community Model> Llama 3 70B Instruct by Meta
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [meta-llama](https://huggingface.co/meta-llama)<b... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | lmstudio-community/Meta-Llama-3-70B-Instruct-BPE-fix-GGUF | null | [
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#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #base_model-meta-llama/Meta-Llama-3-70B-Instruct #region-us
|
## Community Model> Llama 3 70B Instruct by Meta
* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.
Model creator: meta-llama<br>
Original model: Meta-Llama-3-70B-Instruct<br>
GGUF quantization: provided by bartowski based on 'U... | [
"## Community Model> Llama 3 70B Instruct by Meta\n\n* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.\n\nModel creator: meta-llama<br>\nOriginal model: Meta-Llama-3-70B-Instruct<br>\nGGUF quantization: provided by bartowski b... | [
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text-generation | null | ## 💫 Community Model> Phi-3 mini 4k instruct by Microsoft
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [Microsoft](https://huggingface.co/microsof... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "quantized_by": "bartowski", "lm_studio": {"param_count": "4b", "use_case": "chat", "release_date": "23-04-2024", "model_crea... | lmstudio-community/Phi-3-mini-4k-instruct-BPE-fix-GGUF | null | [
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| ## Community Model> Phi-3 mini 4k instruct by Microsoft
* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.
Model creator: Microsoft<br>
Original model: Phi-3-mini-4k-instruct<br>
GGUF quantization: provided by bartowski based on ... | [
"## Community Model> Phi-3 mini 4k instruct by Microsoft\n\n* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.\n\nModel creator: Microsoft<br>\nOriginal model: Phi-3-mini-4k-instruct<br>\nGGUF quantization: provided by bartowsk... | [
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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... | pmolodo/PPO-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-05-02T21:06:41+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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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/tr935wg | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T21:07:14+00:00 | [
"1910.09700"
] | [] | TAGS
#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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | We focus on training models efficiently, not race to be the biggest,
but big things come in optimizing small packages.
# Mermaid-Llama-6.7B
Introducing Mermaid-LLama-6.7B, a robust language model designed for Python code understanding and crafting captivating story flow maps.
Down to 6 billion parameter to show we ... | {"license": "cc-by-4.0"} | TroyDoesAI/Contextual-Llama-6.7b | null | [
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"safetensors",
"llama",
"text-generation",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T21:07:33+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| We focus on training models efficiently, not race to be the biggest,
but big things come in optimizing small packages.
# Mermaid-Llama-6.7B
Introducing Mermaid-LLama-6.7B, a robust language model designed for Python code understanding and crafting captivating story flow maps.
Down to 6 billion parameter to show we ... | [
"# Mermaid-Llama-6.7B\n\nIntroducing Mermaid-LLama-6.7B, a robust language model designed for Python code understanding and crafting captivating story flow maps. \nDown to 6 billion parameter to show we dont need the bloat.\n\nI wish to specialize in packing models on Edge Devices.\n\nOpen For Hire See my links to ... | [
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text-generation | null |
## Llamacpp imatrix Quantizations of dolphin-2.9-llama3-8b-1m
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2777">b2777</a> for quantization.
Original model: https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8... | {"license": "other", "tags": ["generated_from_trainer", "axolotl"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-wo... | bartowski/dolphin-2.9-llama3-8b-1m-GGUF | null | [
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"text-generation",
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----------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download a... | [] | [
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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. -->
# CMSC473
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "CMSC473", "results": []}]} | joshu710/CMSC473 | null | [
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"license:mit",
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"region:us"
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| CMSC473
=======
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7219
* Accuracy: 0.6989
* F1: 0.6873
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-generation | transformers |
Self trained microscopit Mistral. Around 810M parameters.
The tokenizer is the one from https://huggingface.co/mistralai/Mistral-7B-v0.1.
It is being trained on around 400B tokens and this is step 6k.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License.
## Di... | {"license": "apache-2.0"} | DrNicefellow/Microscopic-Mistral-6k-steps | null | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T21:08:32+00:00 | [] | [] | TAGS
#transformers #pytorch #mistral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Self trained microscopit Mistral. Around 810M parameters.
The tokenizer is the one from URL
It is being trained on around 400B tokens and this is step 6k.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License.
## Discord Server
Join our Discord server here.
... | [
"## License\n\nThis model is available under the Apache 2.0 License.",
"## Discord Server\n\nJoin our Discord server here.",
"## Feeling Generous? \n\nEager to buy me a cup of 2$ coffe or iced tea? Sure, here is the link: URL Please add a note on which one you want me to drink?"
] | [
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"## Discord Server\n\nJoin our Discord server here.",
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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": []} | golf2248/1czrdsq | null | [
"transformers",
"safetensors",
"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. -->
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text-to-image | diffusers | # realcartoon3d_v8
<Gallery />
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Weights for this model are available in Safetensors format.
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fill-mask | transformers |
# Model Card for Model ID
Model fine-tuned on BEREL 2.0 - New and Improved BEREL: BERT Embeddings for Rabbinic-Encoded Language
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null | transformers |
# Uploaded model
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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null | transformers | <img src="Faraday Model Repository Banner.png" alt="Faraday.dev" style="height: 90px; min-width: 32px; display: block; margin: auto;">
**<p style="text-align: center;">The official library of GGUF format models for use in the local AI chat app, Faraday.dev.</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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feature-extraction | transformers |
# Model Card for Model ID
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## Model Details
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# ef_gpt2_baseline_5000best_model
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# ef_gpt2_baseline_5000best_model
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More information needed
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More information needed
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More information needed
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feature-extraction | transformers |
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("phospho-small-bfbe72e")
outputs = model.predict(["This is a s... | {"language": "en", "license": "apache-2.0"} | phospho-app/phospho-small-bfbe72e | null | [
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|
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
## References
This work was possible thanks to the SetFit library and the work of:
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text-generation | transformers |
# Uploaded model
- **Developed by:** qbitmaze
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-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/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | qbitmaze/lora_model | null | [
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|
# Uploaded model
- Developed by: qbitmaze
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lyghter/2ch-wt-24-01-01-27480-3849-mel-512-pool-032e7-1x064-1-1 | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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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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. -->
# chatTrained
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-c... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "chatTrained", "results": []}]} | DreadN0ugh7/ChatAcademy-Trained-7b | null | [
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|
# chatTrained
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamet... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lyghter/2ch-wt-24-01-01-27480-3849-mel-512-pool-064e7-1x064-1-1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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/x4bnnkc | 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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sentence-similarity | sentence-transformers |
# seregadgl101/baii_v6_10ep
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 beco... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | seregadgl101/baii_v6_10ep | null | [
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|
# seregadgl101/baii_v6_10ep
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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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | Alvaroooooooo/ppo-Pyramids | null | [
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|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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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": []} | azhara001/donut-base-demo-new-v2-3e-05_SGD_M_1876 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
<!-- 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. -->
# test_ViT-Masked_2
This model is a fine-tuned version of [](https://huggingface.co/) on the ppak10/Melt-Pool-Thermal-Images datas... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "test_ViT-Masked_2", "results": []}]} | ppak10/test_ViT-Masked_2 | null | [
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# test_ViT-Masked_2
This model is a fine-tuned version of [](URL on the ppak10/Melt-Pool-Thermal-Images dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-to-image | diffusers | ### arrcr Dreambooth model trained by aikonst2024 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | aikonst2024/arrcr | null | [
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Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
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null | null | <!-- ### quantize_version: 2 -->
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weighted/imatrix quants of https://huggingface.co/Sao10K/NyakuraV2-34B-Yi-Llama
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text-generation | transformers | ## Model description
This is just a mirror of Yi-34B-200K (XLCTX) model uploaded by 01.ai. This is the version that was updated to work better with long context needle in a haystack recall. I just want to have it stored somewhere in case 01.ai updates the base Yi-34B-200K model again.\
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text-generation | transformers | ## Model description
This is a base Yi-34B-200K XLCTX model treated with DPO with adamo1139/rawrr_v2-2_stage1 dataset to make outputs be completions instead of answers for a question. DPO was done using chatml format but no previous SFT step was done. If it would do it now, I would have used ORPO instead of DPO for th... | {"license": "other", "datasets": ["adamo1139/rawrr_v2-2_stage1"], "license_name": "yi-license", "license_link": "LICENSE"} | adamo1139/Yi-34B-200K-XLCTX-RAW-1904 | null | [
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text-generation | transformers |
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text-generation | transformers |
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automatic-speech-recognition | transformers |
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text-generation | transformers |
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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": []} | shallow6414/xrlklu6 | null | [
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sentence-similarity | sentence-transformers |
# seregadgl101/baii_v6_12ep
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 beco... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | seregadgl101/baii_v6_12ep | null | [
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|
# seregadgl101/baii_v6_12ep
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 | 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. -->
# llava_13b_country
This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "liuhaotian/llava-v1.5-13b", "model-index": [{"name": "llava_13b_country", "results": []}]} | emendes3/llava_13b_country | null | [
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| llava\_13b\_country
===================
This model is a fine-tuned version of liuhaotian/llava-v1.5-13b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6820
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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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": []} | azhara001/donut-base-demo-final_v23e-05_SGD_M | 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/xp7khfs | 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": []} | golf2248/67f3y6q | null | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hfhfix -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/bunnycore/LuminariX-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "bunnycore/LuminariX-8B", "quantized_by": "mradermacher"} | mradermacher/LuminariX-8B-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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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": []} | azhara001/donut-base-demo-final_v20.0003_Adam | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "Qwen/Qwen1.5-0.5B-Chat"} | asbabiy/AspectLens-BA-Tiny | 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": []} | cilantro9246/89tlt1o | null | [
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null | mlx |
# lostairpod/Llama3-OpenBioLLM-8B-MLX
This model was converted to MLX format from [`aaditya/Llama3-OpenBioLLM-8B`](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B) using mlx-lm version **0.0.13**.
Model added by [lostairpod]
Refer to the [original model card](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B) ... | {"language": ["en"], "license": "llama3", "tags": ["mlx"]} | lostairpod/Llama3-OpenBioLLM-8B-MLX | null | [
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# lostairpod/Llama3-OpenBioLLM-8B-MLX
This model was converted to MLX format from 'aaditya/Llama3-OpenBioLLM-8B' using mlx-lm version 0.0.13.
Model added by [lostairpod]
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - kpal002/Dreambooth-SDXL
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# AutoTrain SDXL LoRA DreamBooth - kpal002/Dreambooth-SDXL
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## Model description
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null | transformers |
# Uploaded model
- **Developed by:** prasanthg3
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
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text-generation | transformers | Wiggle merge of aaditya/Llama3-OpenBioLLM-8B into Orenguteng/Llama-3-8B-Lexi-Uncensored
| {"license": "llama3"} | athirdpath/Llama-3-15b-OpenBioLexi | null | [
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| Wiggle merge of aaditya/Llama3-OpenBioLLM-8B into Orenguteng/Llama-3-8B-Lexi-Uncensored
!image/png
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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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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. -->
# llava_13b_city
This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "liuhaotian/llava-v1.5-13b", "model-index": [{"name": "llava_13b_city", "results": []}]} | emendes3/llava_13b_city | null | [
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| llava\_13b\_city
================
This model is a fine-tuned version of liuhaotian/llava-v1.5-13b on an unknown dataset.
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* Loss: 1.6347
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": []} | shallow6414/h2tpy9a | null | [
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text-generation | transformers | Reproducing
(https://huggingface.co/blog/mlabonne/orpo-llama-3
)[https://huggingface.co/blog/mlabonne/orpo-llama-3]
while extending training to 10 epochs. | {} | SaborDay/OrpoLlama-3-8B | null | [
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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. -->
# results
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "results", "results": []}]} | omarmedhatt/results | null | [
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| results
=======
This model is a fine-tuned version of t5-small on an unknown dataset.
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* Loss: 1.5800
* Bleu: 0.0046
* Gen Len: 19.0
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
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text-classification | transformers | # Claim-Evidence Alignment TinyBERT tuned classification model
<!-- Provide a quick summary of what the model is/does. -->
This repo contains a tuned [huawei-noah/TinyBERT_General_4L_312D](https://huggingface.co/huawei-noah/TinyBERT_General_4L_312D) model for the classification
of sentence pairs: if the evidence fit... | {"language": ["en"], "tags": ["evidence", "claim", "evidence alignment"]} | yevhenkost/claim_evidence_alignment_fever_gold_tuned_tinybert | null | [
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| # Claim-Evidence Alignment TinyBERT tuned classification model
This repo contains a tuned huawei-noah/TinyBERT_General_4L_312D model for the classification
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hfhfix -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nextab/Athena-v2.0-sft
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "library_name": "transformers", "base_model": "nextab/Athena-v2.0-sft", "quantized_by": "mradermacher"} | mradermacher/Athena-v2.0-sft-GGUF | null | [
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#transformers #gguf #en #base_model-nextab/Athena-v2.0-sft #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | null | <!-- 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/ChimeraLlama-3-8B-v2-GGUF-smashed | null | [
"gguf",
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"region:us"
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#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the mlabonne/ChimeraLlama-3-8B-v2 model.
----------------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example code\n\n```\n\n* Option D - Running with Lang... | [
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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/ihsfy25 | 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]:
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Atom-7B-Chat - GGUF
- Model creator: https://huggingface.co/FlagAlpha/
- Original model: https://huggingface.co/FlagAlpha/At... | {} | RichardErkhov/FlagAlpha_-_Atom-7B-Chat-gguf | null | [
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#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Atom-7B-Chat - GGUF
* Model creator: URL
* Original model: URL
Name: Atom-7B-Chat.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.5GB
Name: Atom-7B-Chat.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.76GB
Name: Atom-7B-Chat.IQ3\_S.gguf, Quant me... | [] | [
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null | mlx |
# lostairpod/Llama3-OpenBioLLM-8B-MLX
This model was converted to MLX format from [`aaditya/Llama3-OpenBioLLM-8B`](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B) using mlx-lm version **0.0.13**.
Model added by [lostairpod]
Refer to the [original model card](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B) ... | {"language": ["en"], "license": "llama3", "tags": ["mlx"]} | mlx-community/Llama3-OpenBioLLM-8B | null | [
"mlx",
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"en"
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#mlx #safetensors #llama #en #license-llama3 #region-us
|
# lostairpod/Llama3-OpenBioLLM-8B-MLX
This model was converted to MLX format from 'aaditya/Llama3-OpenBioLLM-8B' using mlx-lm version 0.0.13.
Model added by [lostairpod]
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# lostairpod/Llama3-OpenBioLLM-8B-MLX\nThis model was converted to MLX format from 'aaditya/Llama3-OpenBioLLM-8B' using mlx-lm version 0.0.13.\n\nModel added by [lostairpod]\n\nRefer to the original model card for more details on the model.",
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fill-mask | transformers |
## Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|--------------------------|---------------------------------|
| Duration (in seconds) | [More Information Needed] |
| Emissions (Co2eq in kg) | [More Information Needed] |
| CPU power (W) | [N... | {"language": "en", "tags": ["fill-mask"]} | damgomz/BERTrand_bs64_lr5_MLM | null | [
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"en"
] | TAGS
#transformers #safetensors #albert #fill-mask #en #autotrain_compatible #endpoints_compatible #region-us
| Environmental Impact (CODE CARBON DEFAULT)
------------------------------------------
Environmental Impact (for one core)
-----------------------------------
Note
----
2 May 2024
My Config
---------
Training and Testing steps
--------------------------
Epoch: 0.0, Train Loss: 14.601907, Test Loss: 13.069... | [] | [
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text-generation | transformers |
# Model Card for Model ID
## Model Details
### Model Description
Korean minimal instruction tunning of meta-llama/Meta-Llama-3-8B-Instruct
#### Chat template
tokenizer.apply_chat_template(chat, tokenize=False)
| {"language": ["ko"], "license": "apache-2.0", "library_name": "transformers"} | lcw99/llama-3-8b-it-kor-extented-chang | null | [
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#transformers #safetensors #llama #text-generation #conversational #ko #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
Korean minimal instruction tunning of meta-llama/Meta-Llama-3-8B-Instruct
#### Chat template
tokenizer.apply_chat_template(chat, tokenize=False)
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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. -->
# llava_13b_exact_location_name
This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotia... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "liuhaotian/llava-v1.5-13b", "model-index": [{"name": "llava_13b_exact_location_name", "results": []}]} | emendes3/llava_13b_exact_location_name | null | [
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| llava\_13b\_exact\_location\_name
=================================
This model is a fine-tuned version of liuhaotian/llava-v1.5-13b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4214
Model description
-----------------
More information needed
Intended uses & limitat... | [
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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": []} | shallow6414/0wugr63 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/r4iwokv | 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/lwodnjp | null | [
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## Model Details
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# japanese-sentiment
This model is a fine-tuned version of [abhishek/autonlp-japanese-sentiment-59363](https://huggingface.co/abhi... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "abhishek/autonlp-japanese-sentiment-59363", "model-index": [{"name": "japanese-sentiment", "results": []}]} | conrad123/japanese-sentiment | null | [
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|
# japanese-sentiment
This model is a fine-tuned version of abhishek/autonlp-japanese-sentiment-59363 on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001
- Accuracy: 1.0
- F1: 1.0
## Model description
More information needed
## Intended uses & limitations
More information... | [
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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": []} | cilantro9246/sf3y59y | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T22:06:17+00:00 | [
"1910.09700"
] | [] | TAGS
#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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/kloodia/llama3-8x8-chat
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "library_name": "transformers", "base_model": "kloodia/llama3-8x8-chat", "quantized_by": "mradermacher"} | mradermacher/llama3-8x8-chat-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:kloodia/llama3-8x8-chat",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T22:06:59+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-kloodia/llama3-8x8-chat #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-kloodia/llama3-8x8-chat #endpoints_compatible #region-us \n"
] | [
37
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] |
null | null |
<!-- 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. -->
# gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned", "results": []}]} | gimarchetti/gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned | null | [
"safetensors",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics2-8b",
"license:apache-2.0",
"region:us"
] | null | 2024-05-02T22:09:22+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics2-8b #license-apache-2.0 #region-us
|
# gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5530
- eval_runtime: 80.7835
- eval_samples_per_second: 2.488
- eval_steps_per_second: 2.488
- epoch: 1.9737... | [
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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": []} | massimilianowosz/OrpoLlama-3-8B | null | [
"transformers",
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"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T22:09:25+00:00 | [
"1910.09700"
] | [] | TAGS
#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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NeverSleep/Llama-3-Lumimaid-70B-v0.1
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ll... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "base_model": "NeverSleep/Llama-3-Lumimaid-70B-v0.1", "quantized_by": "mradermacher"} | mradermacher/Llama-3-Lumimaid-70B-v0.1-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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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. -->
# bn_news_article_summarization
This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/bang... | {"tags": ["generated_from_trainer"], "base_model": "csebuetnlp/banglat5", "model-index": [{"name": "bn_news_article_summarization", "results": []}]} | fahad1770/bengali_news_article_summarization_BanglaT5 | null | [
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"safetensors",
"mt5",
"text2text-generation",
"generated_from_trainer",
"base_model:csebuetnlp/banglat5",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T22:11:01+00:00 | [] | [] | TAGS
#transformers #safetensors #mt5 #text2text-generation #generated_from_trainer #base_model-csebuetnlp/banglat5 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| bn\_news\_article\_summarization
================================
This model is a fine-tuned version of csebuetnlp/banglat5 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1868
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 20\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 160\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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="Max87152/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"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": ... | Max87152/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-02T22:12:14+00:00 | [] | [] | TAGS
#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 | 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. -->
# llava_13b_exact_gps_coordinates
This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaot... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "liuhaotian/llava-v1.5-13b", "model-index": [{"name": "llava_13b_exact_gps_coordinates", "results": []}]} | emendes3/llava_13b_exact_gps_coordinates | null | [
"peft",
"safetensors",
"llava_llama",
"generated_from_trainer",
"base_model:liuhaotian/llava-v1.5-13b",
"4-bit",
"region:us"
] | null | 2024-05-02T22:13:11+00:00 | [] | [] | TAGS
#peft #safetensors #llava_llama #generated_from_trainer #base_model-liuhaotian/llava-v1.5-13b #4-bit #region-us
| llava\_13b\_exact\_gps\_coordinates
===================================
This model is a fine-tuned version of liuhaotian/llava-v1.5-13b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5826
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* total\\_train\\_batch\\_size: 32\n* total\\_eval\\_batch\\_size: 32\n* o... | [
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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-410m_mz-133_EnronSpam_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-133_EnronSpam_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-133_EnronSpam_n-its-10-seed-4 | null | [
"transformers",
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"safetensors",
"gpt_neox",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T22:14:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-410m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-410m_mz-133_EnronSpam_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informati... | [
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text-generation | transformers | Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
This is by far the most completely uncensored Llama 3 8b instruct model. It will literally never refuse anything.
So as a reminder, with great power comes great responsibil... | {"license": "llama3"} | AwanLLM/Awanllm-Llama-3-8B-Cumulus-v0.2 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"license:llama3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T22:16:36+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
URL
This is by far the most completely uncensored Llama 3 8b instruct model. It will literally never refuse anything.
So as a reminder, with great power comes great responsibility.
In terms of reasoning and intelligence, this mod... | [] | [
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] |
text-generation | transformers | # Model Card for Mixtral-8x7B
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mistral-8x7B outperforms Llama 2 70B on most benchmarks we tested.
For full details of this model please read our [release blog post](https://mistral.ai/news/mixtral-of-experts/).
## War... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe"]} | pcmoritz/Mixtral-8x7B-v0.1-fp8-act-scale | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"fr",
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"de",
"es",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T22:20:10+00:00 | [] | [
"fr",
"it",
"de",
"es",
"en"
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#transformers #safetensors #mixtral #text-generation #moe #fr #it #de #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Model Card for Mixtral-8x7B
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mistral-8x7B outperforms Llama 2 70B on most benchmarks we tested.
For full details of this model please read our release blog post.
## Warning
This repo contains weights that are compat... | [
"# Model Card for Mixtral-8x7B\nThe Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mistral-8x7B outperforms Llama 2 70B on most benchmarks we tested.\n\nFor full details of this model please read our release blog post.",
"## Warning\nThis repo contains weights th... | [
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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. -->
# llama2-poison-10p-0502
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-... | {"license": "llama2", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-poison-10p-0502", "results": []}]} | Jackie999/llama2-poison-10p-0502 | null | [
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"base_model:meta-llama/Llama-2-7b-hf",
"license:llama2",
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] | null | 2024-05-02T22:20:30+00:00 | [] | [] | TAGS
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| llama2-poison-10p-0502
======================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\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: 32\n... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning... | [
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text-generation | transformers |
# Zhongli DialoGPT Model
| {"license": "cc", "tags": ["conversational"]} | javamaster44/DialoGPT-Medium-Zhongli | null | [
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"license:cc",
"autotrain_compatible",
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#transformers #safetensors #gpt2 #text-generation #conversational #license-cc #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Zhongli DialoGPT Model
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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/p68hzmi | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T22:21:57+00:00 | [
"1910.09700"
] | [] | TAGS
#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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Prototipo_1_EMI
This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/b... | {"tags": ["generated_from_trainer"], "base_model": "dccuchile/bert-base-spanish-wwm-cased", "model-index": [{"name": "Prototipo_1_EMI", "results": []}]} | Armandodelca/Prototipo_1_EMI | null | [
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] | null | 2024-05-02T22:22:04+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-dccuchile/bert-base-spanish-wwm-cased #autotrain_compatible #endpoints_compatible #region-us
|
# Prototipo_1_EMI
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.0198
- eval_accuracy: 0.5826
- eval_runtime: 23.4219
- eval_samples_per_second: 213.475
- eval_steps_per_second: 8.539
- epoch:... | [
"# Prototipo_1_EMI\n\nThis model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 1.0198\n- eval_accuracy: 0.5826\n- eval_runtime: 23.4219\n- eval_samples_per_second: 213.475\n- eval_steps_per_second: 8.53... | [
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text-generation | transformers | Wiggle merge of vicgalle/Roleplay-Llama-3-8B into NousResearch/Hermes-2-Pro-Llama-3-8B | {"license": "llama3"} | athirdpath/Llama-3-15b-HermesPlaying | null | [
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"region:us"
] | null | 2024-05-02T22:23:23+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Wiggle merge of vicgalle/Roleplay-Llama-3-8B into NousResearch/Hermes-2-Pro-Llama-3-8B | [] | [
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