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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": []} | luozhuanggary/GOAT-v0.2-Mistral-7B-Teacher-QC-Claude | 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 |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw2.25 | null | [
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
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text-generation | transformers |
# Experiment27pasticheShadowm7exp-7B
Experiment27pasticheShadowm7exp-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [automerger/Experiment27Pastiche-7B](https://huggingface.co/automerger/Experiment27Pastiche-7B)
* [mahiatlinux/ShadowM7EXP-7B]... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["automerger/Experiment27Pastiche-7B", "mahiatlinux/ShadowM7EXP-7B"]} | automerger/Experiment27pasticheShadowm7exp-7B | null | [
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|
# Experiment27pasticheShadowm7exp-7B
Experiment27pasticheShadowm7exp-7B is an automated merge created by Maxime Labonne using the following configuration.
* automerger/Experiment27Pastiche-7B
* mahiatlinux/ShadowM7EXP-7B
## Configuration
## Usage
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | Anuranjan-k/Enlighten_Instruct_xajax | 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. -->
# codet5-fine-tuned
This model is a fine-tuned version of [Salesforce/codet5p-220m-py](https://huggingface.co/Salesforce/codet5p-2... | {"license": "bsd-3-clause", "tags": ["generated_from_trainer"], "base_model": "Salesforce/codet5p-220m-py", "model-index": [{"name": "codet5-fine-tuned", "results": []}]} | dtruong46me/codet5-fine-tuned | null | [
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| codet5-fine-tuned
=================
This model is a fine-tuned version of Salesforce/codet5p-220m-py on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1204
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/cyberrealistic_v32 | null | [
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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
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | streamize/moyouxl_v01 | null | [
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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. -->
# temps
This model is a fine-tuned version of [Qwen/Qwen1.5-4B-Chat](https://huggingface.co/Qwen/Qwen1.5-4B-Chat) on the None data... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "Qwen/Qwen1.5-4B-Chat", "model-index": [{"name": "temps", "results": []}]} | santyzenith/Qwen-1-5-4B-UDA-Rules-SFT | null | [
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| temps
=====
This model is a fine-tuned version of Qwen/Qwen1.5-4B-Chat on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2647
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Tr... | [
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text-generation | transformers |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw2.5 | null | [
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
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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
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/cyberrealistic_v31 | null | [
"diffusers",
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"region:us"
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"1910.09700"
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers 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. -->
# robust_llm_pythia-imdb-1b-mz-ada-v3-bs-8
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.co/Ele... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-imdb-1b-mz-ada-v3-bs-8", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-1b-mz-ada-v3-bs-8 | null | [
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"gpt_neox",
"text-classification",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# robust_llm_pythia-imdb-1b-mz-ada-v3-bs-8
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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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-mms-300m-ikk-1
This model is a fine-tuned version of [facebook/mms-300m](https://huggingface.co/facebook/mms-300m) on t... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "base_model": "facebook/mms-300m", "model-index": [{"name": "wav2vec2-mms-300m-ikk-1", "results": []}]} | ogbi/wav2vec2-mms-300m-ikk-1 | null | [
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"automatic-speech-recognition",
"generated_from_trainer",
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"license:cc-by-nc-4.0",
"endpoints_compatible",
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|
# wav2vec2-mms-300m-ikk-1
This model is a fine-tuned version of facebook/mms-300m on the audiofolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
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text-generation | transformers |
# HebrewGPT_Base_v1.0
This is the HebrewGPT_Base_v1.0 model, a foundational GPT model for the Hebrew language, pretrained from scratch on the OSCAR Hebrew dataset.
## Model Details
### Model Description
Developed by Hooking AI, this model is the base version of a Hebrew GPT series intended for further fine-tuning ... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["gpt", "hebrew", "language-model", "pretraining"], "datasets": ["oscar-corpus/OSCAR-2301"], "metrics": ["perplexity"], "model-index": [{"name": "HebrewGPT_Base_v1.0", "results": [{"task": {"type": "language-modeling", "name": "Language Modeling"}, "data... | hooking-dev/Hebrew_v1.0 | null | [
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"region:u... | null | 2024-04-11T17:55:49+00:00 | [
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|
# HebrewGPT_Base_v1.0
This is the HebrewGPT_Base_v1.0 model, a foundational GPT model for the Hebrew language, pretrained from scratch on the OSCAR Hebrew dataset.
## Model Details
### Model Description
Developed by Hooking AI, this model is the base version of a Hebrew GPT series intended for further fine-tuning ... | [
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feature-extraction | 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_bge_ver7
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver7", "results": []}]} | comet24082002/finetuned_bge_ver7 | null | [
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"feature-extraction",
"generated_from_trainer",
"base_model:BAAI/bge-m3",
"license:mit",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us
|
# finetuned_bge_ver7
This model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
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text-generation | transformers |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw3 | null | [
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"dataset:HuggingFaceH4/cai-conversation-harmless",
"license:llama2",
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"endpoin... | null | 2024-04-11T17:57:24+00:00 | [] | [
"hu",
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
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text-generation | null |
## Llamacpp Quantizations of aixcoder-7b-base
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2636">b2636</a> for quantization.
Original model: https://huggingface.co/aiXcoder/aixcoder-7b-base
All quants made using imatrix o... | {"quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/aixcoder-7b-base-GGUF | null | [
"gguf",
"text-generation",
"region:us"
] | null | 2024-04-11T17:57:39+00:00 | [] | [] | TAGS
#gguf #text-generation #region-us
| Llamacpp Quantizations of aixcoder-7b-base
------------------------------------------
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
-------------
No prompt format for base models.
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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": ["trl", "sft"]} | lilyray/falcon-7b-emotion-2 | null | [
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"trl",
"sft",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T18:01:58+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #trl #sft #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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text-classification | bertopic |
# impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_10_prob
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this mode... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | RolMax/impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_10_prob | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-11T18:04:14+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| impf\_ukrain\_postcov\_all\_sns\_topics\_umap\_lok\_hdbscan\_lok\_ctfidf\_seed\_10\_prob
========================================================================================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable... | [] | [
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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/unstable_79 | null | [
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"stablelm",
"text-generation",
"conversational",
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"autotrain_compatible",
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/voxreality/mistral-7B-navigation
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "voxreality/mistral-7B-navigation", "quantized_by": "mradermacher"} | mradermacher/mistral-7B-navigation-GGUF | null | [
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"gguf",
"en",
"base_model:voxreality/mistral-7B-navigation",
"license:apache-2.0",
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] | null | 2024-04-11T18:06:16+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-voxreality/mistral-7B-navigation #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | trl |
# Weni/WeniGPT-Agents-Mistral-4.0.0-KTO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.1-SFT-merged] on the dataset Weni/wenigpt-agent-1.4.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment with KTO and a new tokenizer configuration ... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["KTO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.1-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-4.0.0-KTO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-4.0.0-KTO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-4.0.0-KTO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.1-SFT-merged] on the dataset Weni/wenigpt-agent-1.4.0 with the KTO trainer. It is part of the WeniGPT project for Weni.
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text-generation | transformers |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw3.5 | null | [
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Medium GA-EN Speech Translation
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/ope... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu", "wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "Whisper Medium GA-EN Speech Translation", "results": []}]} | ymoslem/whisper-medium-ga2en-v1.1 | null | [
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| Whisper Medium GA-EN Speech Translation
=======================================
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6073
* Bleu: 0.22
* Chrf: 12.93
* Wer: 104.3224
Model description
-----------------
... | [
"### 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: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers | # hapsburgthesecond
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Kukedlc/NeuralMaths-Experiment-... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Kukedlc/NeuralMaths-Experiment-7b", "JDBMG/Hapsburg_v0_1"]} | JDBMG/HapsburgTheSecondl | null | [
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| # hapsburgthesecond
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Kukedlc/NeuralMaths-Experiment-7b
* JDBMG/Hapsburg_v0_1
### Configur... | [
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null | null | Heterogenous Pre-trained Transformers as Scalable Policy Learners
Abstract:
Citation:
Contact: | {"license": "mit"} | liruiw/hpt-base | null | [
"license:mit",
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#license-mit #region-us
| Heterogenous Pre-trained Transformers as Scalable Policy Learners
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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-sigoIAspirantes-Orca-oass-v2
This model is a fine-tuned version of [NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2", "model-index": [{"name": "mistral-sigoIAspirantes-Orca-oass-v2", "results": []}]} | fergos80/mistral-sigoIAspirantes-Orca-oass-v2 | null | [
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| mistral-sigoIAspirantes-Orca-oass-v2
====================================
This model is a fine-tuned version of NickyNicky/Mistral-7B-OpenOrca-oasst\_top1\_2023-08-25-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1361
Model description
-----------------
More inform... | [
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text-generation | transformers |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw3.7 | null | [
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
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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. -->
# my_awesome_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | abhimanyuaryan/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2348
* Accuracy: 0.9306
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
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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": []} | TristanBehrens/nightingallm-init_215M | null | [
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null | transformers |
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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": []} | Zlovoblachko/WFT_L1_sent_generator | null | [
"transformers",
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"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
] | null | 2024-04-11T18:26:57+00:00 | [
"1910.09700"
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#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
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... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | IMENMANSOUR/ppo-SnowballTarget | null | [
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"SnowballTarget",
"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
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 tuto... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Equall/Saul-Base](https://huggingface.co/Eq... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Equall/Saul-Base", "HuggingFaceH4/zephyr-7b-beta"]} | mergekit-community/mergekit-slerp-ueqsixf | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T18:28:13+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Equall/Saul-Base
* HuggingFaceH4/zephyr-7b-beta
### Configuration
The following... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1.1
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/FashionGPT-7... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "datasets": ["Open-Orca/OpenOrca", "openchat/openchat_sharegpt4_dataset", "LDJnr/Puffin", "ehartford/samantha-data", "OpenAssistant/oasst1", "jondurbin/airoboros-gpt4-1.4.1"], "base_model": "ICBU-NPU/FashionGPT-70B-V1.1", "quantized_by": "mraderm... | mradermacher/FashionGPT-70B-V1.1-i1-GGUF | null | [
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"license:llam... | null | 2024-04-11T18:28:16+00:00 | [] | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_AlphaTron
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "LeroyDyer/Mixtral_AI_AlphaTron", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_AlphaTron-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-LeroyDyer/Mixtral_AI_AlphaTron #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 | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-dpo-timedial-selfgen
This model is a fine-tuned version of [EllieS/zephyr-sft-timedial](https://huggingface.co/EllieS/zep... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer"], "datasets": ["EllieS/timedial_selfgen"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-dpo-timedial-selfgen", "results": []}]} | EllieS/zephyr-dpo-timedial-selfgen | null | [
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| zephyr-dpo-timedial-selfgen
===========================
This model is a fine-tuned version of EllieS/zephyr-sft-timedial on the EllieS/timedial\_selfgen dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0055
* Rewards/chosen: 0.4843
* Rewards/rejected: -5.0618
* Rewards/accuracies: 1.0
* R... | [
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text-generation | transformers |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw4 | null | [
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"dataset:HuggingFaceH4/cai-conversation-harmless",
"license:llama2",
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"endpoin... | null | 2024-04-11T18:30:45+00:00 | [] | [
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
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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": []} | 0x0dad0/test04 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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null | null |
Training a virtual TA chatbot for fun.
| {"license": "apache-2.0"} | chihhuiho/VirtualTA | null | [
"safetensors",
"license:apache-2.0",
"has_space",
"region:us"
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Training a virtual TA chatbot for fun.
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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": []} | abhayesian/BobzillaV8 | null | [
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"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | transformers |
# Uploaded model
- **Developed by:** chatty123
- **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.com/u... | {"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"} | chatty123/mistral_rank16_invert | 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": []} | adammoss/patchgpt | null | [
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text-generation | transformers | # Finnish-Alpacazord-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
This is just a test to see if I can improve my models by merging the Finnish data based model with the slightly higher performing English data based model.
## Merge Details
### Merge Me... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mpasila/Alpacazord-Viking-7B", "mpasila/Finnish-Viking-Alpaca-V1-7B"]} | mpasila/Finnish-Alpacazord-7B | null | [
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| # Finnish-Alpacazord-7B
This is a merge of pre-trained language models created using mergekit.
This is just a test to see if I can improve my models by merging the Finnish data based model with the slightly higher performing English data based model.
## Merge Details
### Merge Method
This model was merged using the... | [
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null | transformers |
# Uploaded model
- **Developed by:** shubham11
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | shubham11/gemma7bit_adapter | null | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | gRaphael/poca-SoccerTwos | null | [
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|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
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* ... | [
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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": ["unsloth"]} | shubham11/gemma7bit_adapter_tokenizer | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Uploaded model
- **Developed by:** shubham11
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | shubham11/model_gemma7b_merged | null | [
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text-generation | transformers | | Step | Training Loss |
|-------|---------------|
| 25 | 1.180900 |
| 50 | 0.551100 |
| 75 | 0.833000 |
| 100 | 0.497000 |
| 125 | 0.770000 |
| 150 | 0.479200 |
| 175 | 0.686700 |
| 200 | 0.472500 |
| 225 | 0.684200 |
| 250 | 0.426900 |
| 275 ... | {"library_name": "transformers", "base_model": "mistralai/Mistral-7B-v0.1", "pipeline_tag": "text-generation"} | Jyotiyadav/copywriting | null | [
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text-generation | transformers |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw4.2 | null | [
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
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text-generation | transformers |
This is a fixed version of [Eurus-70b-nca](https://huggingface.co/openbmb/Eurus-70b-nca) made by copying the json files from the (**base**) [CodeLlama-70b-hf](https://huggingface.co/codellama/CodeLlama-70b-hf) model and adding in the Mistral chat template, eg:
```
<s>[INST] Instruction [/INST] Model answer</s> [INST]... | {"license": "apache-2.0", "tags": ["reasoning", "preference_learning", "nca"], "datasets": ["openbmb/UltraInteract_pair", "openbmb/UltraFeedback"], "pipeline_tag": "text-generation"} | jukofyork/Eurus-70b-nca-fixed | null | [
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"arxiv:2404.02078",
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"endpoints_... | null | 2024-04-11T18:42:31+00:00 | [
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|
This is a fixed version of Eurus-70b-nca made by copying the json files from the (base) CodeLlama-70b-hf model and adding in the Mistral chat template, eg:
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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": []} | tomaszki/stablelm-27-a | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
This is a fixed version of [Eurus-70b-sft](https://huggingface.co/openbmb/Eurus-70b-sft) made by copying the json files from the (**base**) [CodeLlama-70b-hf](https://huggingface.co/codellama/CodeLlama-70b-hf) model and adding in the Mistral chat template, eg:
```
<s>[INST] Instruction [/INST] Model answer</s> [INST]... | {"license": "apache-2.0", "tags": ["reasoning"], "datasets": ["openbmb/UltraInteract_sft", "stingning/ultrachat", "openchat/openchat_sharegpt4_dataset", "Open-Orca/OpenOrca"], "pipeline_tag": "text-generation"} | jukofyork/Eurus-70b-sft-fixed | null | [
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This is a fixed version of Eurus-70b-sft made by copying the json files from the (base) CodeLlama-70b-hf model and adding in the Mistral chat template, eg:
This version has the same context length (16k) and RoPE base frequency (1000000) as 'CodeLlama-70b':
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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. -->
# gemma-2b-dolly-qa
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generat... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer", "ipex", "GPU Max 1100", "intel"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-dolly-qa", "results": []}]} | FunDialogues/dollygem-2b-LoRA | null | [
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"license:gemma",
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] | null | 2024-04-11T18:44:35+00:00 | [] | [] | TAGS
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| gemma-2b-dolly-qa
=================
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0215
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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": []} | tomaszki/stablelm-27-b | null | [
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"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-dpo-timedial-selfgen-mix
This model is a fine-tuned version of [EllieS/zephyr-dpo-timedial](https://huggingface.co/EllieS... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer"], "datasets": ["EllieS/timedial_selfgen"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-dpo-timedial-selfgen-mix", "results": []}]} | EllieS/zephyr-dpo-timedial-selfgen-mix | null | [
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"dataset:EllieS/timedial_selfgen",
"base_model:alignment-handbook/zephyr-7b-sft-full",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T18:46:03+00:00 | [] | [] | TAGS
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| zephyr-dpo-timedial-selfgen-mix
===============================
This model is a fine-tuned version of EllieS/zephyr-dpo-timedial on the EllieS/timedial\_selfgen dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0236
* Rewards/chosen: 0.5600
* Rewards/rejected: -3.3438
* Rewards/accuracies:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with... | [
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text-generation | transformers |
# RogerMerge-7B-slerp
RogerMerge-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp)
* [allknowingroger/Perci... | {"tags": ["merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/PercivalMelodias-7B-slerp"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/PercivalMelodias-7B-slerp"]} | allknowingroger/RogerMerge-7B-slerp | null | [
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"base_model:allknowingroger/PercivalMelodias-7B-slerp",
... | null | 2024-04-11T18:46:30+00:00 | [] | [] | TAGS
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# RogerMerge-7B-slerp
RogerMerge-7B-slerp is a merge of the following models using LazyMergekit:
* allknowingroger/MultiverseEx26-7B-slerp
* allknowingroger/PercivalMelodias-7B-slerp
## Configuration
## Usage
| [
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text-generation | transformers | <!-- markdownlint-disable MD041 -->
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content:... | {"license": "apache-2.0", "model_name": "Solar 10.7B Instruct v1.0", "base_model": "upstage/SOLAR-10.7B-Instruct-v1.0", "inference": false, "model_creator": "upstage", "model_type": "solar", "prompt_template": "### User:\n{prompt}\n\n### Assistant:\n", "quantized_by": "TheBloke"} | dmanary-pronavigator/SOLAR-10.7B-Instruct-v1.0-gptq-8bit-32g-actorder_True | null | [
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|
[[TheBloke's LLM work is generously supported by a grant from [andreessen horowitz (a16z)](URL)](URL to contribute? TheBloke's Patreon page</a></p>
</div>
</div>
<div style=)](URL & support: TheBloke's Discord server</a></p>
</div>
<div style=)
---
Solar 10.7B Instruct v1.0... | [
"### In text-generation-webui\n\n\nTo download from the 'main' branch, enter 'TheBloke/SOLAR-10.7B-Instruct-v1.0-GPTQ' in the \"Download model\" box.\n\n\nTo download from another branch, add ':branchname' to the end of the download name, eg 'TheBloke/SOLAR-10.7B-Instruct-v1.0-GPTQ:gptq-4bit-32g-actorder\\_True'",
... | [
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text-generation | transformers |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw4.4 | null | [
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"dataset:HuggingFaceH4/ultrafeedback_binarized",
"dataset:HuggingFaceH4/cai-conversation-harmless",
"license:llama2",
"autotrain_compatible",
"endpoin... | null | 2024-04-11T18:53:30+00:00 | [] | [
"hu",
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
"# SambaLingo-Hungarian-Chat\n\n<img src=\"SambaLingo_Logo.png\" width=\"340\" style=\"margin-left:'auto' margin-right:'auto' display:'block'\"/>\n\n\nSambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model Sa... | [
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text-to-image | diffusers | Model info:
https://civitai.com/models/83231?modelVersionId=115201
Original Author's DEMO image:
DEMO images generated by Huggingface's API :
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| Model info:
URL
Original Author's DEMO image:
!URL
DEMO images generated by Huggingface's API :
!URL
prompt:
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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). | {"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... | expilu/ppo-LunarLander-v2 | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library. | [
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] |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | samzapo/ppo-Huggy | null | [
"ml-agents",
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"deep-reinforcement-learning",
"reinforcement-learning",
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"region:us"
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
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 you te... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Murilovisk
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | Murilovisk/mistral_model_unsloth | null | [
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|
# Uploaded model
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- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/CalderaAI/30B-Lazarus
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/30B-Lazarus-GGUF
##... | {"language": ["en"], "library_name": "transformers", "tags": ["llama", "alpaca", "cot", "vicuna", "uncensored", "merge", "mix"], "base_model": "CalderaAI/30B-Lazarus", "quantized_by": "mradermacher"} | mradermacher/30B-Lazarus-i1-GGUF | null | [
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#transformers #gguf #llama #alpaca #cot #vicuna #uncensored #merge #mix #en #base_model-CalderaAI/30B-Lazarus #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/aunt57 | null | [
"transformers",
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"stablelm",
"text-generation",
"conversational",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw4.6 | null | [
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# biogpt-custom-ADR
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the None ... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/biogpt", "model-index": [{"name": "biogpt-custom-ADR", "results": []}]} | aprilyan/biogpt-custom-ADR | null | [
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"region:us"
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#transformers #tensorboard #safetensors #gpt2 #token-classification #generated_from_trainer #base_model-microsoft/biogpt #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| biogpt-custom-ADR
=================
This model is a fine-tuned version of microsoft/biogpt on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2017
* Precision: 0.4480
* Recall: 0.3880
* F1: 0.4158
* Accuracy: 0.9303
Model description
-----------------
More information needed... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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": []} | unrented5443/pwt3bwy | null | [
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"text-generation",
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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 Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | ruthran/caramel-train-1 | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | tarpalsus/ppo-Huggy | null | [
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"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
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"region:us"
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
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 you te... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
null | transformers |
# Baby Med LLM
<Gallery />
# Spanish Domain Exper LLMs
This project represents an ongoing initiative at **Alt** aimed at enhancing the Spanish language capabilities of LLMs' base models. By incorporating diverse and rich Spanish corpora, our objective is to improve the model's understanding and generation of specif... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit", "widget": [{"text": "baby llm", "output": {"url": "bb_med_llm.png"}}]} | altbrainblock/tiny_med_es | null | [
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"base_model:unsloth/mistral-7b-bnb-4bit",
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|
# Baby Med LLM
<Gallery />
# Spanish Domain Exper LLMs
This project represents an ongoing initiative at Alt aimed at enhancing the Spanish language capabilities of LLMs' base models. By incorporating diverse and rich Spanish corpora, our objective is to improve the model's understanding and generation of specific d... | [
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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": []} | cilantro9246/82bb1bd | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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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. -->
# codebert_1
This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-ml... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/codebert-base-mlm", "model-index": [{"name": "codebert_1", "results": []}]} | ZZZZCCCC/codebert_1 | null | [
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| codebert\_1
===========
This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5628
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More in... | [
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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... | arvin-zaheri/rl_unit1 | null | [
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"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T19:17:05+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** Murilovisk
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-2-7b-bnb-4bit"} | Murilovisk/llama2_model_unsloth | null | [
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|
# Uploaded model
- Developed by: Murilovisk
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-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 |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw4.8 | null | [
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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text-generation | transformers |
# ValidateAI-2-33B-Ties
ValidateAI-2-33B-Ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [deepseek-ai/deepseek-coder-33b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct)
* [WizardLM/WizardC... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "WizardLM/WizardCoder-33B-V1.1", "codefuse-ai/CodeFuse-DeepSeek-33B", "deepseek-ai/deepseek-coder-33b-instruct"], "base_model": ["deepseek-ai/deepseek-coder-33b-instruct"]} | arvindanand/ValidateAI-3-33B-Ties | null | [
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"license:ap... | null | 2024-04-11T19:18:25+00:00 | [] | [] | TAGS
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# ValidateAI-2-33B-Ties
ValidateAI-2-33B-Ties is a merge of the following models using LazyMergekit:
* deepseek-ai/deepseek-coder-33b-instruct
* WizardLM/WizardCoder-33B-V1.1
* codefuse-ai/CodeFuse-DeepSeek-33B
*
## Configuration
## 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": []} | luizlzg/arara_blue7b | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T19:18:40+00:00 | [
"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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/unstable_80 | 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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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-codenames
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-b... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "vit-base-codenames", "results": [{"task": {"type": "image-classification", "name": "Image Classificatio... | freddie2004/vit-base-codenames | null | [
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] | null | 2024-04-11T19:22:16+00:00 | [] | [] | TAGS
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| vit-base-codenames
==================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the codenames-pictures dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7722
* Accuracy: 0.4643
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | selvamathan-rampedup/RampedUp-Mistral-7B-v0.6.1.1.1 | 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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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small GA-EN Speech Translation
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/opena... | {"language": ["ga", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN", "ymoslem/FLEURS-GA-EN", "ymoslem/BitesizeIrish-GA-EN", "ymoslem/SpokenWords-GA-EN-MTed"], "metrics": ["bleu", "wer", "chrf"], "base_model": "openai/whisper-smal... | ymoslem/whisper-small-ga2en-v1.2 | null | [
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======================================
This model is a fine-tuned version of openai/whisper-small on the IWSLT-2023, FLEURS, BiteSize, and SpokenWords datasets.
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dmusingu/XLS-R-LUGANDA-ASR-CV14-1B | 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]:
- Shared by [optional]:
- Model type:
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text-to-image | diffusers | # ijenz
<Gallery />
## Model description
Ijenz, a Twitch streamer. A weight of 0.8 to 1 is fine.
## Trigger words
You should use `ijenz` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/MarkBW/ijenz/tree/main) them in the Files & versi... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000i\u0000j\u0000e\u0000n\u0000z\u0000:\u00000\u0000.\u00009\u0000>\u0000i\u0000j\u0000e\u0000n\u0000z\u0000,\u0000 \u0000,\u0000a\u0000 \u0000w\u0000o\... | MarkBW/ijenz | null | [
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| # ijenz
<Gallery />
## Model description
Ijenz, a Twitch streamer. A weight of 0.8 to 1 is fine.
## Trigger words
You should use 'ijenz' 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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text-generation | transformers |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw5 | null | [
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
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text-generation | transformers | # Kunoichi-DPO-v2-Instruct-32k-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
This hopefully gives 32k context for Kunoichi-DPO-v2 model though since it also uses the instruct model it might change its behavior somewhat.
Merge script copied from this [i... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["alpindale/Mistral-7B-v0.2-hf", "mistralai/Mistral-7B-Instruct-v0.2", "SanjiWatsuki/Kunoichi-DPO-v2-7B"]} | mpasila/Kunoichi-DPO-v2-Instruct-32k-7B | null | [
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This is a merge of pre-trained language models created using mergekit.
This hopefully gives 32k context for Kunoichi-DPO-v2 model though since it also uses the instruct model it might change its behavior somewhat.
Merge script copied from this ichigoberry/pandafish-2-7b-32k.
## Mer... | [
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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. -->
# esm2_t30_150M_UR50D-finetuned-effector
This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://huggingface.... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/esm2_t30_150M_UR50D", "model-index": [{"name": "esm2_t30_150M_UR50D-finetuned-effector", "results": []}]} | dariader/esm2_t30_150M_UR50D-finetuned-effector | null | [
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| esm2\_t30\_150M\_UR50D-finetuned-effector
=========================================
This model is a fine-tuned version of facebook/esm2\_t30\_150M\_UR50D on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5082
* Accuracy: 0.7858
Model description
-----------------
More inf... | [
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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": []} | gualti/imdb_model2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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- Language(s) (NLP):
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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. -->
# cdp-crisis-finance-classifier-limited
This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-mi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "alex-miller/ODABert", "model-index": [{"name": "cdp-crisis-finance-classifier-limited", "results": []}]} | alex-miller/cdp-crisis-finance-classifier-limited | null | [
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"region:us"
] | null | 2024-04-11T19:36:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-alex-miller/ODABert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| cdp-crisis-finance-classifier-limited
=====================================
This model is a fine-tuned version of alex-miller/ODABert on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2425
* Accuracy: 0.9156
* F1: 0.9179
* Precision: 0.8936
* Recall: 0.9437
Model descriptio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
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text-generation | transformers |
<img align="right" src="https://huggingface.co/Tweeties/tweety-tatar-base-7b-2024-v1/resolve/main/TweetyTatar.png?download=true" alt="Tweety-Tatar-7B: A Tatar Large Language Model" width="20%">
# Tweety Tatar / Base 7b / 2024-v1
## Model description
This model is our trans-tokenized LLM for the [Tatar language](http... | {"language": ["tt"], "license": "apache-2.0", "tags": ["tweety"], "datasets": ["oscar-corpus/OSCAR-2301"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | Tweeties/tweety-tatar-base-7b-2024-v1 | null | [
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"tt"
] | TAGS
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|
<img align="right" src="URL alt="Tweety-Tatar-7B: A Tatar Large Language Model" width="20%">
# Tweety Tatar / Base 7b / 2024-v1
## Model description
This model is our trans-tokenized LLM for the Tatar language, converted from the Mistral-7B-Instruct-v0.2 model trained by MistralAI.
Trans-tokenized LLMs are language... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/microsoft/rho-math-7b-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["nlp", "math"], "base_model": "microsoft/rho-math-7b-v0.1", "quantized_by": "mradermacher"} | mradermacher/rho-math-7b-v0.1-GGUF | null | [
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"en"
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#transformers #gguf #nlp #math #en #base_model-microsoft/rho-math-7b-v0.1 #license-mit #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - me-gauravaggarwal/Gaurav_LoRA
<Gallery />
## Model description
These are me-gauravaggarwal/Gau... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of Gaurav", "wid... | me-gauravaggarwal/Gaurav_LoRA | null | [
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"diffusers-training",
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"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-11T19:43:20+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - me-gauravaggarwal/Gaurav_LoRA
<Gallery />
## Model description
These are me-gauravaggarwal/Gaurav_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for tra... | [
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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. -->
# Featherlite-Aurora-v0.4-beta
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/Hugging... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "Featherlite-Aurora-v0.4-beta", "results": []}]} | hvadaparty/Featherlite-Aurora-v0.4-beta | null | [
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"base_model:HuggingFaceH4/zephyr-7b-beta",
"license:mit",
"4-bit",
"region:us"
] | null | 2024-04-11T19:44:09+00:00 | [] | [] | TAGS
#peft #safetensors #mistral #trl #sft #generated_from_trainer #dataset-generator #base_model-HuggingFaceH4/zephyr-7b-beta #license-mit #4-bit #region-us
|
# Featherlite-Aurora-v0.4-beta
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## ... | [
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text-generation | transformers |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw5.5 | null | [
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"safetensors",
"llama",
"text-generation",
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"dataset:HuggingFaceH4/ultrachat_200k",
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"endpoin... | null | 2024-04-11T19:44:31+00:00 | [] | [
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
"# SambaLingo-Hungarian-Chat\n\n<img src=\"SambaLingo_Logo.png\" width=\"340\" style=\"margin-left:'auto' margin-right:'auto' display:'block'\"/>\n\n\nSambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model Sa... | [
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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": [{... | AlidarAsvarov/Reinforce-CartPole-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-11T19:45:22+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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text-generation | transformers |
# Uploaded model
- **Developed by:** Emarhnuel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | Emarhnuel/unsloth_mistral_imdb_model | null | [
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|
# Uploaded model
- Developed by: Emarhnuel
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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text-generation | transformers |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | blockblockblock/SambaLingo-Hungarian-Chat-bpw6 | null | [
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# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "realcartoon3dv8-inpaint"
Coding... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/realcartoon3dv8-inpaint | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-11T19:56:56+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "realcartoon3dv8-inpaint"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View ... | [
"# API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"realcartoon3dv8-inpaint\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate Imag... | [
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"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nRepl... | [
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in b... |
null | null | This notebook finetunes GPT2 on a sample of the Enron emails dataset
The dataset is publically available (you can find it in here: https://www.kaggle.com/datasets/wcukierski/enron-email-dataset)
At the end, I built a gradio interface to chat with the fine tuned model, you can ask questions to the dataset :) | {"license": "apache-2.0"} | vividsd/gpt2-enrondataset | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T19:59:24+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| This notebook finetunes GPT2 on a sample of the Enron emails dataset
The dataset is publically available (you can find it in here: URL
At the end, I built a gradio interface to chat with the fine tuned model, you can ask questions to the dataset :) | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
13
] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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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 was trained from scratch on the generator dataset.
It achieves the following r... | {"tags": ["generated_from_trainer"], "datasets": ["generator"], "model-index": [{"name": "distilbert-base-uncased-finetuned-imdb", "results": []}]} | Pastushoc/distilbert-base-uncased-finetuned-imdb | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"fill-mask",
"generated_from_trainer",
"dataset:generator",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T19:59:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #fill-mask #generated_from_trainer #dataset-generator #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-imdb
======================================
This model was trained from scratch on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1086
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: 64\n* eval\\_batch\\_size: 64\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",
"### Traini... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_... | [
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"TAGS\n#transformers #tensorboard #safetensors #distilbert #fill-mask #generated_from_trainer #dataset-generator #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: ... |
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