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null | transformers |
# Uploaded model
- **Developed by:** martyyz
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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# Uploaded model
- Developed by: martyyz
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-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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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. -->
# Llama3-Medical-Finetune_QA_MCQ
This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unslot... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "model-index": [{"name": "Llama3-Medical-Finetune_QA_MCQ", "results": []}]} | TachyHealthResearch/Llama3-Medical-Finetune_QA_MCQ | null | [
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| Llama3-Medical-Finetune\_QA\_MCQ
================================
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the None dataset.
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* Loss: 1.0295
Model description
-----------------
More information needed
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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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text-generation | transformers | # Multilingual Medicine: Model, Dataset, Benchmark, Code
Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far
<p align="center">
👨🏻💻<a href="https://github.com/FreedomIntelligence/Apollo" target="_blank">Github</a> •📃 <a href="https://arxiv.org/abs/2403.03640" target="_blank">Paper</a> • �... | {"license": "apache-2.0"} | FreedomIntelligence/Apollo-72B | null | [
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| # Multilingual Medicine: Model, Dataset, Benchmark, Code
Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far
<p align="center">
<a href="URL target="_blank">Github</a> • <a href="URL target="_blank">Paper</a> • <a href="URL target="_blank">Demo</a> • <a href="URL target="_blank">ApolloCorpu... | [
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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 | transformers |
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text-generation | transformers |
# Model Card for Model ID
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null | transformers |
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null | transformers |
# Model Information
This folder contains a converted model using ctranslate2.
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https://wandb.ai/i4ds/whisper4sg/runs/0bjl34bh
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URL
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text-generation | transformers | # Multilingual Medicine: Model, Dataset, Benchmark, Code
Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far
<p align="center">
👨🏻💻<a href="https://github.com/FreedomIntelligence/Apollo" target="_blank">Github</a> •📃 <a href="https://arxiv.org/abs/2403.03640" target="_blank">Paper</a> • �... | {"license": "apache-2.0"} | FreedomIntelligence/Apollo-34B | null | [
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#transformers #safetensors #llama #text-generation #arxiv-2403.03640 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Multilingual Medicine: Model, Dataset, Benchmark, Code
Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far
<p align="center">
<a href="URL target="_blank">Github</a> • <a href="URL target="_blank">Paper</a> • <a href="URL target="_blank">Demo</a> • <a href="URL target="_blank">ApolloCorpu... | [
"# Multilingual Medicine: Model, Dataset, Benchmark, Code\n\nCovering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far\n\n\n<p align=\"center\">\n <a href=\"URL target=\"_blank\">Github</a> • <a href=\"URL target=\"_blank\">Paper</a> • <a href=\"URL target=\"_blank\">Demo</a> • <a href=\"URL targ... | [
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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": []} | relu-ntnu/bart-large-xsum_v4_trained_on_100_lr_5e-5_r8_a16_all_layers | null | [
"transformers",
"safetensors",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-22T14:46:05+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... | [
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null | null | # c4ai-command-r-plus-gguf
[CohereForAIさんが公開しているc4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)のggufフォーマット変換版です。
imatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。
## 分割されたファイルについて
q6_kやq8_0のファイルはサイズが大き... | {"language": ["en", "ja"], "license": "cc-by-nc-4.0", "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"]} | mmnga/c4ai-command-r-plus-gguf | null | [
"gguf",
"en",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-22T14:46:40+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-cc-by-nc-4.0 #region-us
| # c4ai-command-r-plus-gguf
CohereForAIさんが公開しているc4ai-command-r-plusのggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
## 分割されたファイルについて
q6_kやq8_0のファイルはサイズが大きく分割されているので結合する必要があります。
~~~bash
cat c4ai-command-r-plus-Q5_K_M.gguf.* > c4ai-command-r-plus-Q5_K_M.gguf
~~~
## Usage
| [
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"## 分割されたファイルについて\nq6_kやq8_0のファイルはサイズが大きく分割されているので結合する必要があります。 \n\n~~~bash\ncat c4ai-command-r-plus-Q5_K_M.gguf.* > c4ai-command-r-plus-Q5_K_M.gguf\n~~~",
"#... | [
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null | null | This is lora, which turns the background into a greenscreen. Add 'green background' to the prompt.
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/62f2b20aeb9e8a5... | {} | toyxyz/Greenscreen_lora | null | [
"region:us"
] | null | 2024-04-22T14:47:59+00:00 | [] | [] | TAGS
#region-us
| This is lora, which turns the background into a greenscreen. Add 'green background' to the prompt.
!image/png
<video controls autoplay src="URL
| [] | [
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null | null | # from 6000step checkpoint | {} | MLP-Lemma/Llama-sft-xsum-90k | null | [
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#safetensors #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": []} | tistak/sn3-0 | null | [
"transformers",
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"text-generation",
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"endpoints_compatible",
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"region:us"
] | null | 2024-04-22T14:48:23+00:00 | [
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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.
- Developed by:
- Funded by [optional]:
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null | null | # from 6000step checkpoint | {} | MLP-Lemma/Lemma-sft-xsum-90k | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/bart-large-xsum_v4_trained_on_250_lr_5e-5_r8_a16_all_layers | null | [
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"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
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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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. -->
# wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod17
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod17", "results": [{"task": {"type": "automatic-speech-recognition", "name": "... | EzraWilliam/wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod17 | null | [
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| wav2vec2-xlsr-53-CV-demo-google-colab-Ezra\_William\_Prod17
===========================================================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3179
* Wer: 0.2729
Mode... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | ntvcie/Gemma2bVinhntV1_lora | null | [
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"4-bit",
"region:us"
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#transformers #safetensors #gemma #text-generation #unsloth #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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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"]} | UXAIR/PyramidsTraining | null | [
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"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# 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:
- A *short tutorial* where ... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| **Repository (Llama 3 Family)** | **Avg Acc.** | **OpenB... | {"license": "apache-2.0"} | GreenBitAI/Llama-3-8B-layer-mix-bpw-2.2 | null | [
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"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T14:55:10+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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null | transformers |
# Uploaded model
- **Developed by:** BaunRobotics
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | BaunRobotics/baun-50k-lora | null | [
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# Uploaded model
- Developed by: BaunRobotics
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<img src="URL width="200"/>
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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": []} | Likich/bloom-finetune-qualcoding | 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 |
# Uploaded model
- **Developed by:** ntvcie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ntvcie/Gemma2bVinhntV11_16bit | null | [
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# Uploaded model
- Developed by: ntvcie
- License: apache-2.0
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This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null |
# #roleplay
GGUF-IQ-Imatrix quants for **cgato/L3-TheSpice-8b-v0.1.3**.
> [!IMPORTANT]
> These quants have been done after the fixes from [llama.cpp/pull/6920](https://github.com/ggerganov/llama.cpp/pull/6920). <br>
> Use **KoboldCpp version 1.64** or higher.
> [!NOTE]
> Prompt format is relatively simple, author... | {"license": "cc-by-4.0"} | Lewdiculous/L3-TheSpice-8b-v0.1.3-GGUF-IQ-Imatrix | null | [
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#gguf #license-cc-by-4.0 #region-us
|
# #roleplay
GGUF-IQ-Imatrix quants for cgato/L3-TheSpice-8b-v0.1.3.
> [!IMPORTANT]
> These quants have been done after the fixes from URL <br>
> Use KoboldCpp version 1.64 or higher.
> [!NOTE]
> Prompt format is relatively simple, author seems to recommend ChatML.
!image/png
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text-generation | transformers | 
# Update: Vision/multimodal capabilities again!
If you want to use vision functionality:
* You must use the latest versions of [Koboldcpp](https://github.com/LostRuins/koboldcpp).
# To use the m... | {"tags": ["merge", "mergekit"]} | ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B | null | [
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| !image/png
# Update: Vision/multimodal capabilities again!
If you want to use vision functionality:
* You must use the latest versions of Koboldcpp.
# To use the multimodal capabilities of this model and use vision you need to load the specified mmproj file, this can be found inside this model repo. URL
* You... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** sudhir2016
- **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/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | sudhir2016/llama-3-8b-Instruct-lora-merged | null | [
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# Uploaded model
- Developed by: sudhir2016
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
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text-to-image | diffusers |
# Bootlicker - Corporate Photos and Portraits
<Gallery />
## Model description
<p>Create corporate headshots and portraits. Great for outpainiting a face for LinkedIn profile photos. <br /><br />A weight of 0.5 works well in most models. Adjust as needed. Trigger word is "bootlicker". </p>
## Trigger words
Yo... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "concept", "portrait", "headshot", "corporate"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&al... | ostris/bootlicker-corporate-photos-and-portraits | null | [
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|
# Bootlicker - Corporate Photos and Portraits
<Gallery />
## Model description
<p>Create corporate headshots and portraits. Great for outpainiting a face for LinkedIn profile photos. <br /><br />A weight of 0.5 works well in most models. Adjust as needed. Trigger word is "bootlicker". </p>
## Trigger words
Yo... | [
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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": []} | relu-ntnu/bart-large-xsum_v4_trained_on_500_lr_5e-5_r8_a16_all_layers | null | [
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image-to-text | transformers |
# Manga OCR
Optical character recognition for Japanese text, with the main focus being Japanese manga.
It uses [Vision Encoder Decoder](https://huggingface.co/docs/transformers/model_doc/vision-encoder-decoder) framework.
Manga OCR can be used as a general purpose printed Japanese OCR, but its main goal was to prov... | {"language": "ja", "license": "apache-2.0", "tags": ["image-to-text"], "datasets": ["manga109s"]} | Superd4/lasttest | null | [
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# Manga OCR
Optical character recognition for Japanese text, with the main focus being Japanese manga.
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null | transformers |
# Uploaded model
- **Developed by:** ntvcie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ntvcie/Gemma2bVinhntV2_lora | null | [
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# Uploaded model
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text-generation | transformers |
# Uploaded model
- **Developed by:** Jogendra0411
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.co... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | Jogendra0411/Mistral-7b-qlora | null | [
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|
# Uploaded model
- Developed by: Jogendra0411
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-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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null | null | # from 6000step checkpoint | {} | MLP-Lemma/Lemma-sft-xsum-90k-aux | null | [
"safetensors",
"region:us"
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#safetensors #region-us
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | ProrabVasili/Reinforce-CartPole-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-22T15:01:25+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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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. -->
# test_sum_1_model
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the No... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "test_sum_1_model", "results": []}]} | InfinityC/test_sum_1_model | null | [
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| test\_sum\_1\_model
===================
This model is a fine-tuned version of google-t5/t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8708
* Rouge1: 0.3843
* Rouge2: 0.2726
* Rougel: 0.3466
* Rougelsum: 0.3464
* Gen Len: 18.9887
Model description
----------------... | [
"### 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: 4\n* mixed\\_prec... | [
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text-generation | transformers |
# **Introduction**
The model was trained to translate a single sentence from English to Korean with a 1.3M dataset in the technology science domain.
Dataset: [nayohan/tech_science_translation](https://huggingface.co/datasets/nayohan/tech_science_translation)
### **Loading the Model**
Use the following Python code to... | {"language": ["en", "ko"], "license": "llama3", "library_name": "transformers", "tags": ["tech", "translation", "enko", "ko"], "datasets": ["nayohan/026_tech_translation"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"], "pipeline_tag": "text-generation"} | nayohan/llama3-8b-it-translation-tech-en-ko-1sent | null | [
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|
# Introduction
The model was trained to translate a single sentence from English to Korean with a 1.3M dataset in the technology science domain.
Dataset: nayohan/tech_science_translation
### Loading the Model
Use the following Python code to load the model:
### Generating Text
To generate text, use the following ... | [
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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": []} | Lakoc/voxpopuli_uni50_cz | 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. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"license": "apache-2.0", "tags": ["axolotl", "generated_from_trainer", "text-generation-inference"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model_type": "mistral", "pipeline_tag": "text-generation", "model-index": [{"name": "Mistral-7B-Mortgage-Loans", "results": []}]} | bitext-llm/Mistral-7B-Mortgage-Loans | null | [
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|
# Model Card for Model ID
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text-generation | transformers | ## Como Utilizar
```
import transformers
import torch
model_id = "adalbertojunior/Llama-3-8B-Instruct-Portuguese-v0.2"
pipeline = transformers.pipeline(
"text-generation",
model=model_id,
model_kwargs={"torch_dtype": torch.bfloat16},
device="auto",
)
messages = [
{"role": "system", "content": "Vo... | {"language": ["pt"], "datasets": ["adalbertojunior/dolphin_pt_test"]} | adalbertojunior/Llama-3-8B-Instruct-Portuguese-v0.2 | null | [
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] | null | 2024-04-22T15:11:41+00:00 | [] | [
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| ## Como Utilizar
### Formato do prompt
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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": []} | relu-ntnu/bart-large-xsum_v4_trained_on_1000_lr_5e-5_r8_a16_all_layers | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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_mnli_few
This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/bert-la... | {"tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-cased", "model-index": [{"name": "results_mnli_few", "results": []}]} | Elkelouizajo/bert_mnli_few | null | [
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|
# results_mnli_few
This model is a fine-tuned version of google-bert/bert-large-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"license": "apache-2.0", "tags": ["axolotl", "generated_from_trainer", "text-generation-inference"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model_type": "mistral", "pipeline_tag": "text-generation", "model-index": [{"name": "Mistral-7B-Retail", "results": []}]} | bitext-llm/Mistral-7B-Retail | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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 |
# Uploaded model
- **Developed by:** ogdanneedham
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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text-generation | transformers |
# JSL-Med-Sft-Llama-3-8B
[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)
This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/).
This model is available under a [CC-BY-NC-ND](https://creativecommons.org/lic... | {"license": "cc-by-nc-nd-4.0", "tags": ["llama-3-8b", "sft", "medical"], "base_model": ["meta-llama/Meta-Llama-3-8B"]} | johnsnowlabs/JSL-Med-Sft-Llama-3-8B | null | [
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| JSL-Med-Sft-Llama-3-8B
======================
<img src="URL
This model is developed by John Snow Labs.
This model is available under a CC-BY-NC-ND license and must also conform to this Acceptable Use Policy. If you need to license this model for commercial use, please contact us at info@URL.
Usage
-----
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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": []} | Grayx/sad_llama_35.0 | null | [
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | 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. -->
# Mistral-7b-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "Mistral-7b-ft", "results": []}]} | Gssmc/Mistral-7b-ft | null | [
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| Mistral-7b-ft
=============
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8778
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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text-generation | transformers |
# Model Card for Model ID
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
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text-generation | transformers |
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<!-- Provide a longer summary of what this model is. -->
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-imdb", "results": []}]} | CopyPaste/distilbert-base-uncased-finetuned-imdb | null | [
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| distilbert-base-uncased-finetuned-imdb
======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4256
Model description
-----------------
More information needed
Intended uses &... | [
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fill-mask | 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. -->
# finetuned__roberta-clinical-wl-es__augmented-ultrasounds
This model is a fine-tuned version of [plncmm/roberta-clinical-wl-es](h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "plncmm/roberta-clinical-wl-es", "model-index": [{"name": "finetuned__roberta-clinical-wl-es__augmented-ultrasounds", "results": []}]} | manucos/finetuned__roberta-clinical-wl-es__augmented-ultrasounds | null | [
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| finetuned\_\_roberta-clinical-wl-es\_\_augmented-ultrasounds
============================================================
This model is a fine-tuned version of plncmm/roberta-clinical-wl-es on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6340
Model description
-------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | Takeru/E-PPO | null | [
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|
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text-generation | transformers |
*This model was quantized by [SanctumAI](https://sanctum.ai). To leave feedback, join our community in [Discord](https://discord.gg/7ZNE78HJKh).*
# Meta Llama 3 8B Instruct GGUF
**Model creator:** [... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | SanctumAI/Meta-Llama-3-8B-Instruct-GGUF | null | [
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| !image/png
*This model was quantized by SanctumAI. To leave feedback, join our community in Discord.*
Meta Llama 3 8B Instruct GGUF
=============================
Model creator: meta-llama
Original model: Meta-Llama-3-8B-Instruct
Model Summary:
--------------
Meta developed and released the Meta Llama 3 fa... | [] | [
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object-detection | transformers |
Used base model from "SenseTime/deformable-detr" to train the object detector. It has been specifically trained on the FireDetDataset to effectively identify and localize key elements in emergency scenarios involving vegetation fires. This includes detection of humans, vehicles, and fire instances, with a focus on ima... | {"license": "cc-by-4.0"} | RoblabWhGe/rescuedet-deformable-detr | null | [
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#transformers #safetensors #deformable_detr #object-detection #license-cc-by-4.0 #endpoints_compatible #region-us
|
Used base model from "SenseTime/deformable-detr" to train the object detector. It has been specifically trained on the FireDetDataset to effectively identify and localize key elements in emergency scenarios involving vegetation fires. This includes detection of humans, vehicles, and fire instances, with a focus on ima... | [] | [
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null | null |
# Marcoro-7B-slerp
Marcoro-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
## 🧩 Configuration
```yaml
slices:
- sources:
- model: mistralai/Mistral-7B-v0.1
layer_range: [... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-v0.1"]} | Karenehab/Marcoro-7B-slerp | null | [
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#merge #mergekit #lazymergekit #mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# Marcoro-7B-slerp
Marcoro-7B-slerp is a merge of the following models using mergekit:
* mistralai/Mistral-7B-v0.1
## Configuration
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null | transformers |
# Uploaded model
- **Developed by:** BaunRobotics
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/tinyllama-bnb-4bit"} | BaunRobotics/baun-k12-50K-model | null | [
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|
# Uploaded model
- Developed by: BaunRobotics
- 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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null | null |
# llm-merged
llm-merged is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [ctrl](https://huggingface.co/ctrl)
## 🧩 Configuration
```yaml
models:
- model: gpt2
- model: ctrl
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: gpt2
parameter... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "ctrl"]} | nwhamed/llm-merged | null | [
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"license:apache-2.0",
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#merge #mergekit #lazymergekit #ctrl #license-apache-2.0 #region-us
|
# llm-merged
llm-merged is a merge of the following models using mergekit:
* ctrl
## Configuration
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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": []} | kwonsm/gpt2-tldr-kto-updated | 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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image-classification | tf | This model is built by Note, Note can be found [here](https://github.com/NoteDance/Note). The model can be found [here](https://github.com/NoteDance/Note/blob/Note-7.0/Note/neuralnetwork/tf/DeepViT.py). The tutorial can be found [here](https://github.com/NoteDance/Note-documentation/tree/tf-7.0). | {"license": "apache-2.0", "library_name": "tf", "tags": ["Note", "deepvit", "vit", "vision"], "datasets": ["imagenet-1k"], "pipeline_tag": "image-classification"} | NoteDance/DeepViT | null | [
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null | null |
# Magicllama
Magicllama is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [ise-uiuc/Magicoder-S-CL-7B](https://huggingface.co/ise-uiuc/Magicoder-S-CL-7B)
* [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf)
## 🧩 Configuration
```yaml
sl... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "ise-uiuc/Magicoder-S-CL-7B", "NousResearch/Llama-2-7b-chat-hf"]} | moadel2002/Magicllama | null | [
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#merge #mergekit #lazymergekit #ise-uiuc/Magicoder-S-CL-7B #NousResearch/Llama-2-7b-chat-hf #license-apache-2.0 #region-us
|
# Magicllama
Magicllama is a merge of the following models using mergekit:
* ise-uiuc/Magicoder-S-CL-7B
* NousResearch/Llama-2-7b-chat-hf
## Configuration
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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": []} | relu-ntnu/bart-large-xsum_v4_trained_on_1500_lr_5e-5_r8_a16_all_layers | 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 |
# Uploaded model
- **Developed by:** BaunRobotics
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/tinyllama-bnb-4bit"} | BaunRobotics/baun-k12-50K-model-4bit | null | [
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# Uploaded model
- Developed by: BaunRobotics
- License: apache-2.0
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<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. -->
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": []} | kwonsm/gpt2-tldr-dpo-updated | 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 | ## Exllama v2 Quantizations of Llama-3-Aplite-Instruct-4x8B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each br... | {"language": ["en"], "license": "cc-by-nc-4.0", "quantized_by": "KnightCodin", "pipeline_tag": "text-generation"} | Knightcodin/Llama-3-Aplite-Instruct-4x8B-exl2 | null | [
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| ## Exllama v2 Quantizations of Llama-3-Aplite-Instruct-4x8B
Using <a href="URL ExLlamaV2 v0.0.19</a> for quantization.
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text-to-image | diffusers | # vault-suit-pony-xl
<Gallery />
## Model description
By QueenCaffeine
## Trigger words
You should use `fallout vault suit` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/MarkBW/vault-suit-pony-xl/tree/main) them in the Files & versio... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/IMG_3372.jpeg"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "fallout vault suit"} | MarkBW/vault-suit-pony-xl | null | [
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| # vault-suit-pony-xl
<Gallery />
## Model description
By QueenCaffeine
## Trigger words
You should use 'fallout vault suit' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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null | transformers |
# Uploaded model
- **Developed by:** BaunRobotics
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | BaunRobotics/baun-k12-50K-model-lora | null | [
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|
# Uploaded model
- Developed by: BaunRobotics
- 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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text-generation | transformers |
# ChimeraLlama-3-8B-v2
ChimeraLlama-3-8B-v2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
* [mlabonne/OrpoLlama-3-8B... | {"license": "other", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["NousResearch/Meta-Llama-3-8B-Instruct", "mlabonne/OrpoLlama-3-8B", "cognitivecomputations/dolphin-2.9-llama3-8b", "Locutusque/llama-3-neural-chat-v1-8b", "cloudyu/Meta-Llama-3-8B-Instruct-DPO", "vicgalle/Configurable-Llama-3-8B-v0.3"]} | mlabonne/ChimeraLlama-3-8B-v2 | null | [
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... | null | 2024-04-22T15:37:41+00:00 | [] | [] | TAGS
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# ChimeraLlama-3-8B-v2
ChimeraLlama-3-8B-v2 is a merge of the following models using LazyMergekit:
* NousResearch/Meta-Llama-3-8B-Instruct
* mlabonne/OrpoLlama-3-8B
* cognitivecomputations/dolphin-2.9-llama3-8b
* Locutusque/llama-3-neural-chat-v1-8b
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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": ["trl", "sft"]} | Rhma/llama2_7b-hf_finetuned-kaggle | 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 |
# Uploaded model
- **Developed by:** BaunRobotics
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | BaunRobotics/baun-k12-50K-model-16bit-gguf | null | [
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- Developed by: BaunRobotics
- 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.
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null | null |
# merge-my-models
merge-my-models is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.1)
* [gpt2](https://huggingface.co/gpt2)
## 🧩 Configuration
```yaml{'slices': [{'sources': [{'... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "EmbeddedLLM/Mistral-7B-Merge-14-v0.1", "gpt2"]} | afouda/merge-my-models_again | null | [
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"lazymergekit",
"EmbeddedLLM/Mistral-7B-Merge-14-v0.1",
"gpt2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T15:40:48+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #EmbeddedLLM/Mistral-7B-Merge-14-v0.1 #gpt2 #license-apache-2.0 #region-us
|
# merge-my-models
merge-my-models is a merge of the following models using mergekit:
* EmbeddedLLM/Mistral-7B-Merge-14-v0.1
* gpt2
## Configuration
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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null | transformers |
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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)
Midnight-Miqu-70B-v1.5 - bnb 4bits
- Model creator: https://huggingface.co/sophosympatheia/
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Midnight-Miqu-70B-v1.5 - bnb 4bits
- Model creator: URL
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Original model description:
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null | peft |
# 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. -->
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sentence-similarity | sentence-transformers |
# FinLang/finance-embeddings-investopedia
This is the Investopedia embedding for finance application by the FinLang team. The model is trained using our open-sourced finance dataset from https://huggingface.co/datasets/FinLang/investopedia-embedding-dataset
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# FinLang/finance-embeddings-investopedia
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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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. -->
# mbart-gsm8k
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on a... | {"license": "mit", "tags": ["simplification", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-gsm8k", "results": []}]} | el-filatova/mbart-gsm8k | null | [
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| mbart-gsm8k
===========
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9236
* Bleu: 28.8931
* Gen Len: 87.5959
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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": []} | Sahil998/codegen-350M-mono-finetuned-python-18k-alpaca-full-dataset | null | [
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#transformers #safetensors #codegen #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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- Shared by [optional]:
- Model type:
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null | null |
# merge-my-models
merge-my-models is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.1)
* [gpt2](https://huggingface.co/gpt2)
## 🧩 Configuration
```yaml{'slices': [{'sources': [{'... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "EmbeddedLLM/Mistral-7B-Merge-14-v0.1", "gpt2"]} | afouda/merge_models | null | [
"merge",
"mergekit",
"lazymergekit",
"EmbeddedLLM/Mistral-7B-Merge-14-v0.1",
"gpt2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T15:52:38+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #EmbeddedLLM/Mistral-7B-Merge-14-v0.1 #gpt2 #license-apache-2.0 #region-us
|
# merge-my-models
merge-my-models is a merge of the following models using mergekit:
* EmbeddedLLM/Mistral-7B-Merge-14-v0.1
* gpt2
## Configuration
| [
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] |
null | null |
# rawan
rawan is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
* [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3)
## 🧩 Configuration
```yaml
slices:
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mixtral-8x7B-Instruct-v0.1", "openai/whisper-large-v3"]} | RawanNeiazy/merge_models | null | [
"merge",
"mergekit",
"lazymergekit",
"mistralai/Mixtral-8x7B-Instruct-v0.1",
"openai/whisper-large-v3",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T15:53:09+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #mistralai/Mixtral-8x7B-Instruct-v0.1 #openai/whisper-large-v3 #license-apache-2.0 #region-us
|
# rawan
rawan is a merge of the following models using mergekit:
* mistralai/Mixtral-8x7B-Instruct-v0.1
* openai/whisper-large-v3
## Configuration
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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": "NousResearch/Meta-Llama-3-8B-Instruct"} | Grayx/sad_llama_25 | null | [
"peft",
"safetensors",
"llama",
"arxiv:1910.09700",
"base_model:NousResearch/Meta-Llama-3-8B-Instruct",
"region:us"
] | null | 2024-04-22T15:53:21+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #llama #arxiv-1910.09700 #base_model-NousResearch/Meta-Llama-3-8B-Instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | null |
# merge my models
merge my models is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.1)
* [llm-blender/PairRM](https://huggingface.co/llm-blender/PairRM)
## 🧩 Configuration
```yam... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "EmbeddedLLM/Mistral-7B-Merge-14-v0.1", "llm-blender/PairRM"]} | afouda/merge_models_aya | null | [
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"lazymergekit",
"EmbeddedLLM/Mistral-7B-Merge-14-v0.1",
"llm-blender/PairRM",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T15:54:16+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #EmbeddedLLM/Mistral-7B-Merge-14-v0.1 #llm-blender/PairRM #license-apache-2.0 #region-us
|
# merge my models
merge my models is a merge of the following models using mergekit:
* EmbeddedLLM/Mistral-7B-Merge-14-v0.1
* llm-blender/PairRM
## Configuration
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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. -->
# V0422MADP1B
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP1B", "results": []}]} | Litzy619/V0422MADP1B | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-22T15:54:30+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP1B
===========
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: 0.1461
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# V0422MADP2B
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP2B", "results": []}]} | Litzy619/V0422MADP2B | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-22T15:54:33+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP2B
===========
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: 0.1461
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# V0422MADP3B
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP3B", "results": []}]} | Litzy619/V0422MADP3B | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-22T15:54:42+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP3B
===========
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: 0.1556
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# V0422MADP4B
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP4B", "results": []}]} | Litzy619/V0422MADP4B | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-22T15:55:08+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP4B
===========
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: 0.1556
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# V0422MADP6B
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP6B", "results": []}]} | Litzy619/V0422MADP6B | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-22T15:55:09+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP6B
===========
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: 0.1503
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# V0422MADP5B
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP5B", "results": []}]} | Litzy619/V0422MADP5B | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP5B
===========
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: 0.1503
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
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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. -->
# V0422MADP8B
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP8B", "results": []}]} | Litzy619/V0422MADP8B | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP8B
===========
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: 0.1474
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
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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. -->
# V0422MADP7B
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP7B", "results": []}]} | Litzy619/V0422MADP7B | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-22T15:56:01+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP7B
===========
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: 0.1474
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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": []} | tistak/sn3-4 | null | [
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"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
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | The GGUF files of [xtuner/llava-llama-3-8b-v1_1](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) | {"tags": ["llava", "llama", "llava-llama", "gguf", "GGUF"]} | RDson/llava-llama-3-8b-v1_1-GGUF | 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. -->
# LMPT_project
This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-d... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/nllb-200-distilled-600M", "model-index": [{"name": "LMPT_project", "results": []}]} | rujengelal/LMPT_project | null | [
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"m2m_100",
"text2text-generation",
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| LMPT\_project
=============
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5577
* Bleu: 17.1745
* Gen Len: 32.5824
Model description
-----------------
More information needed
Intended uses & limit... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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null | null |
# T3qm7Multiverseex26-7B
T3qm7Multiverseex26-7B 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: nlpguy/T3QM7
- model: allknowingroger/MultiverseEx26-7B-slerp
me... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/T3qm7Multiverseex26-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T16:02:04+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# T3qm7Multiverseex26-7B
T3qm7Multiverseex26-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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