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text-to-image | null |
## pose-Pov-Missionary
<img src="https://via.placeholder.com/468x300?text=App+Screenshot+Here" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details - The general content is that at present, I have tried sever... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/pose-Pov-Missionary | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-17T01:19:09+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| pose-Pov-Missionary
-------------------
<img src="URL alt="Generated on Image Pipeline" style="border-radius: 10px;">
This lora model is uploaded on URL
Model details - The general content is that at present, I have tried several existing Pov missionary loras, all of which are simple action concepts.
I originally... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
"TAGS\n#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us \n",
"### API Reference",
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text-generation | transformers |
<p align="center">
<img width="500px" alt="DeepSeek Chat" src="https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/images/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://chat.deepseek.com/">[🤖 Chat with DeepSeek LLM]</a> | <a href="https://disc... | {"license": "other", "license_name": "deepseek", "license_link": "https://github.com/deepseek-ai/DeepSeek-Math/blob/main/LICENSE-MODEL"} | blockblockblock/deepseek-math-7b-rl-bpw4.8 | null | [
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"safetensors",
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] | null | 2024-04-17T01:21:38+00:00 | [
"2402.03300"
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#transformers #pytorch #safetensors #llama #text-generation #conversational #arxiv-2402.03300 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<p align="center">
<img width="500px" alt="DeepSeek Chat" src="URL
</p>
<p align="center"><a href="URL | <a href="URL Chat with DeepSeek LLM]</a> | <a href="URL | <a href="URL(微信)]</a> </p>
<p align="center">
<a href="URL Link</b>️</a>
</p>
<hr>
### 1. Introduction to DeepSeekMath
See the Introduction ... | [
"### 1. Introduction to DeepSeekMath\nSee the Introduction for more details.",
"### 2. How to Use\nHere give some examples of how to use our model.\n\nChat Completion\n\n Please use chain-of-thought prompt to test DeepSeekMath-Instruct and DeepSeekMath-RL:\n\n- English questions: {question}\\nPlease reason step b... | [
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"### 1. Introduction to DeepSeekMath\nSee the Introduction for more details.",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/bart-large-cnn_v2_trained_on_1500 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T01:24:34+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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"## Model Details",
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text-classification | setfit |
# SetFit with sentence-transformers/all-MiniLM-L6-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) as the Sentence Transformer embe... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "Walter-Erich Schneider (15 February 1909 \u2013 25 October 1987) was a Kapit\u00e4nleutnant with the Kriegsmarine during World War II and a recipi... | mcllstr/setfit-mltclss | null | [
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"model-index",
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| SetFit with sentence-transformers/all-MiniLM-L6-v2
==================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/all-MiniLM-L6-v2 as the Sentence Transformer embedding model. A LogisticRegression instance is used for cl... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/all-MiniLM-L6-v2\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 256 tokens\n* Number of Classes: 219 classes",
"### Model Sources\n\n\n* Repository: SetFit on GitHub\n* Paper: Ef... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["MoE", "merge", "mergekit", "Mistral", "Microsoft/WizardLM-2-7B"], "base_model": "Skylaude/WizardLM-2-4x7B-MoE", "quantized_by": "mradermacher"} | mradermacher/WizardLM-2-4x7B-MoE-GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T01:27:36+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #MoE #merge #mergekit #Mistral #Microsoft/WizardLM-2-7B #en #base_model-Skylaude/WizardLM-2-4x7B-MoE #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 | 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. -->
# GUE_mouse_1-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_mouse_1-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-17T01:28:30+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_mouse\_1-seqsight\_32768\_512\_43M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5206
* F1 Score: 0.80... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [automerger/YamshadowExperiment28-7B](https://huggingface.co/automer... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["CultriX/MonaTrix-v4", "Kukedlc/NeuralSynthesis-7B-v0.1", "automerger/YamshadowExperiment28-7B"]} | CultriX/NeuralShadow-7B | null | [
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"base_model:automerger/YamshadowExperiment28-7B",
"autotrain_compatible",
"endpoints_compatible",
"text-genera... | null | 2024-04-17T01:28:43+00:00 | [
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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 Model Stock merge method using automerger/YamshadowExperiment28-7B as a base.
### Models Merged
The following models were included in the merge:
* CultriX/MonaTrix-v4
* K... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | EmmanuelEspinoza10/llama-2-70b-corporatus-3k-multilingual4-adapter | null | [
"peft",
"region:us"
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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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. -->
# GUE_mouse_4-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_mouse_4-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_32768_512_43M-L32_all | null | [
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"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-17T01:30:21+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_mouse\_4-seqsight\_32768\_512\_43M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0770
* F1 Score: 0.56... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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... | {"language": ["ko"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["beomi/KoAlpaca-v1.1a"], "pipeline_tag": "text-generation"} | SuperPowerMz/SON_Mistral-7B-QLoRA-Peft | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | 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. -->
# GUE_mouse_3-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_mouse_3-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_32768_512_43M-L32_all | null | [
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| GUE\_mouse\_3-seqsight\_32768\_512\_43M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7109
* F1 Score: 0.71... | [
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text-generation | transformers |
# Brig Bot DialoGPT Model | {"tags": ["conversational"]} | heisenberghat/DialoGPT-small-brigbot | 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": []} | shashank98/squad-bloom-1b | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- 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. -->
# GUE_mouse_2-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_mouse_2-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_32768_512_43M-L32_all | null | [
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| GUE\_mouse\_2-seqsight\_32768\_512\_43M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7496
* F1 Score: 0.77... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/deepseek-ai/deepseek-math-7b-instruct
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "deepseek-ai/deepseek-math-7b-instruct", "license_link": "https://github.com/deepseek-ai/DeepSeek-Math/blob/main/LICENSE-MODEL", "license_name": "deepseek", "quantized_by": "mradermacher"} | mradermacher/deepseek-math-7b-instruct-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-deepseek-ai/deepseek-math-7b-instruct #license-other #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-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": []} | niranjanramarajar/Tamil-gemma-v1 | 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... | [
"# Model Card for Model ID",
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text-generation | transformers |
<p align="center">
<img width="500px" alt="DeepSeek Chat" src="https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/images/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://chat.deepseek.com/">[🤖 Chat with DeepSeek LLM]</a> | <a href="https://disc... | {"license": "other", "license_name": "deepseek", "license_link": "https://github.com/deepseek-ai/DeepSeek-Math/blob/main/LICENSE-MODEL"} | blockblockblock/deepseek-math-7b-rl-bpw5 | null | [
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"text-generation-inference",
"5-bit",
"region:us"
] | null | 2024-04-17T01:32:57+00:00 | [
"2402.03300"
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|
<p align="center">
<img width="500px" alt="DeepSeek Chat" src="URL
</p>
<p align="center"><a href="URL | <a href="URL Chat with DeepSeek LLM]</a> | <a href="URL | <a href="URL(微信)]</a> </p>
<p align="center">
<a href="URL Link</b>️</a>
</p>
<hr>
### 1. Introduction to DeepSeekMath
See the Introduction ... | [
"### 1. Introduction to DeepSeekMath\nSee the Introduction for more details.",
"### 2. How to Use\nHere give some examples of how to use our model.\n\nChat Completion\n\n Please use chain-of-thought prompt to test DeepSeekMath-Instruct and DeepSeekMath-RL:\n\n- English questions: {question}\\nPlease reason step b... | [
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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:
* [Kukedlc/NeuralSynthesis-7B-v0.1](https://hu... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Kukedlc/NeuralSynthesis-7B-v0.1", "automerger/YamshadowExperiment28-7B"]} | CultriX/NeuralShadow-7B-v2 | null | [
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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:
* Kukedlc/NeuralSynthesis-7B-v0.1
* automerger/YamshadowExperiment28-7B
### Config... | [
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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": "wwgd/zephyr-7b-beta-with-lora-adapters-vllm-float16"} | wwgd/zephyr-7b-beta-with-lora-adapters-vllm-float16-instr-lora-adapter | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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": []} | adediu25/implicit-hatebert-all | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/deepseek-ai/deepseek-math-7b-rl
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "deepseek-ai/deepseek-math-7b-rl", "license_link": "https://github.com/deepseek-ai/DeepSeek-Math/blob/main/LICENSE-MODEL", "license_name": "deepseek", "quantized_by": "mradermacher"} | mradermacher/deepseek-math-7b-rl-GGUF | null | [
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"license:other",
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"en"
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#transformers #gguf #en #base_model-deepseek-ai/deepseek-math-7b-rl #license-other #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 |
# SDXL LoRA DreamBooth - WalkerSpace/blue-zelda-style
<Gallery />
## Model description
### These are WalkerSpace/blue-zelda-style LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`blu... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "a black cat with gold and blue eyes in the style of <s0><s1>", "output": {"url": "image-0.png"}}, {"text": "a man on a horse in the water at night in... | WalkerSpace/blue-zelda-style | null | [
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"stable-diffusion-xl",
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"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"has_space",
"region:us"
] | null | 2024-04-17T01:37:32+00:00 | [] | [] | TAGS
#diffusers #tensorboard #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #has_space #region-us
|
# SDXL LoRA DreamBooth - WalkerSpace/blue-zelda-style
<Gallery />
## Model description
### These are WalkerSpace/blue-zelda-style LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download 'blue-zelda... | [
"# SDXL LoRA DreamBooth - WalkerSpace/blue-zelda-style\n\n<Gallery />",
"## Model description",
"### These are WalkerSpace/blue-zelda-style LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.",
"## Download model",
"### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke\n\n- Lo... | [
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"# SDXL LoRA DreamBooth - WalkerSpace/blue-zelda-style\n\n<Gallery />",
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text-to-image | null |
## airtight-interracial-bbc-gangbang-airtightintrrcl
<img src="https://via.placeholder.com/468x300?text=App+Screenshot+Here" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details - Consider checking out my new... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/airtight-interracial-bbc-gangbang-airtightintrrcl | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-17T01:42:53+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| airtight-interracial-bbc-gangbang-airtightintrrcl
-------------------------------------------------
<img src="URL alt="Generated on Image Pipeline" style="border-radius: 10px;">
This lora model is uploaded on URL
Model details - Consider checking out my new Interracial Gangbang (intrrclgngbng) checkpoint finetune... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
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"### API Reference",
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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"} | phamthanhdung/merge_nsfw_rv51_updated | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
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"region:us"
] | null | 2024-04-17T01:43:58+00:00 | [
"1910.09700"
] | [] | TAGS
#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-generation | transformers |
<p align="center">
<img width="500px" alt="DeepSeek Chat" src="https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/images/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://chat.deepseek.com/">[🤖 Chat with DeepSeek LLM]</a> | <a href="https://disc... | {"license": "other", "license_name": "deepseek", "license_link": "https://github.com/deepseek-ai/DeepSeek-Math/blob/main/LICENSE-MODEL"} | blockblockblock/deepseek-math-7b-rl-bpw5.5 | null | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:2402.03300",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T01:44:22+00:00 | [
"2402.03300"
] | [] | TAGS
#transformers #pytorch #safetensors #llama #text-generation #conversational #arxiv-2402.03300 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<p align="center">
<img width="500px" alt="DeepSeek Chat" src="URL
</p>
<p align="center"><a href="URL | <a href="URL Chat with DeepSeek LLM]</a> | <a href="URL | <a href="URL(微信)]</a> </p>
<p align="center">
<a href="URL Link</b>️</a>
</p>
<hr>
### 1. Introduction to DeepSeekMath
See the Introduction ... | [
"### 1. Introduction to DeepSeekMath\nSee the Introduction for more details.",
"### 2. How to Use\nHere give some examples of how to use our model.\n\nChat Completion\n\n Please use chain-of-thought prompt to test DeepSeekMath-Instruct and DeepSeekMath-RL:\n\n- English questions: {question}\\nPlease reason step b... | [
"TAGS\n#transformers #pytorch #safetensors #llama #text-generation #conversational #arxiv-2402.03300 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | null |
## Exllama v2 Quantizations of CodeQwen1.5-7B-Chat
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch con... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/CodeQwen1.5-7B-Chat-exl2 | null | [
"chat",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-17T01:45:20+00:00 | [] | [
"en"
] | TAGS
#chat #text-generation #en #license-other #region-us
| Exllama v2 Quantizations of CodeQwen1.5-7B-Chat
-----------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.18 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with ... | [] | [
"TAGS\n#chat #text-generation #en #license-other #region-us \n"
] | [
17
] | [
"TAGS\n#chat #text-generation #en #license-other #region-us \n"
] |
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. -->
# GUE_splice_reconstructed-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-17T01:46:31+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_splice\_reconstructed-seqsight\_32768\_512\_43M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# model_usp2_dpo5
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_usp2_dpo5", "results": []}]} | guoyu-zhang/model_usp2_dpo5 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-17T01:48:11+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_usp2\_dpo5
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0083
* Rewards/chosen: -12.0382
* Rewards/rejected: -17.6824
* Rewards/accuracies: 0.6600
* Rewards/margins: 5.6442
* Logp... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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 - yehiaa/lora-trained-xl-drew
<Gallery />
## Model description
These are yehiaa/lora-trained-xl-... | {"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 headshot of a sks pers... | yehiaa/lora-trained-xl-drew | null | [
"diffusers",
"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"
] | null | 2024-04-17T01:48:19+00:00 | [] | [] | TAGS
#diffusers #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 - yehiaa/lora-trained-xl-drew
<Gallery />
## Model description
These are yehiaa/lora-trained-xl-drew 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 trainin... | [
"# SDXL LoRA DreamBooth - yehiaa/lora-trained-xl-drew\n\n<Gallery />",
"## Model description\n\nThese are yehiaa/lora-trained-xl-drew LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enabled: False.\n\nSpecial VAE u... | [
"TAGS\n#diffusers #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 \n",
"# SDXL LoRA DreamBooth - yehiaa/lora-trained-xl-drew\n\n<Gallery />",
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text-generation | transformers |
<p align="center">
<img width="500px" alt="DeepSeek Chat" src="https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/images/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://chat.deepseek.com/">[🤖 Chat with DeepSeek LLM]</a> | <a href="https://disc... | {"license": "other", "license_name": "deepseek", "license_link": "https://github.com/deepseek-ai/DeepSeek-Math/blob/main/LICENSE-MODEL"} | blockblockblock/deepseek-math-7b-rl-bpw6 | null | [
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"arxiv:2402.03300",
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"endpoints_compatible",
"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-04-17T01:55:50+00:00 | [
"2402.03300"
] | [] | TAGS
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|
<p align="center">
<img width="500px" alt="DeepSeek Chat" src="URL
</p>
<p align="center"><a href="URL | <a href="URL Chat with DeepSeek LLM]</a> | <a href="URL | <a href="URL(微信)]</a> </p>
<p align="center">
<a href="URL Link</b>️</a>
</p>
<hr>
### 1. Introduction to DeepSeekMath
See the Introduction ... | [
"### 1. Introduction to DeepSeekMath\nSee the Introduction for more details.",
"### 2. How to Use\nHere give some examples of how to use our model.\n\nChat Completion\n\n Please use chain-of-thought prompt to test DeepSeekMath-Instruct and DeepSeekMath-RL:\n\n- English questions: {question}\\nPlease reason step b... | [
"TAGS\n#transformers #pytorch #safetensors #llama #text-generation #conversational #arxiv-2402.03300 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \n",
"### 1. Introduction to DeepSeekMath\nSee the Introduction for more details.",
"### 2. How to Use\nHer... | [
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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. -->
# GUE_tf_0-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_tf_0-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-17T01:57:21+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_tf\_0-seqsight\_32768\_512\_43M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6075
* F1 Score: 0.7092
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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": []} | Nabin1995/geepos_invoice_237 | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
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"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #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-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:
* [lucyknada/microsoft_WizardLM-2-7B](https://... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["lucyknada/microsoft_WizardLM-2-7B", "NousResearch/Hermes-2-Pro-Mistral-7B"]} | bababababooey/mergekit-slerp-mntqhzv | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-infere... | null | 2024-04-17T01:58:18+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:
* lucyknada/microsoft_WizardLM-2-7B
* NousResearch/Hermes-2-Pro-Mistral-7B
### Con... | [
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"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
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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. -->
# model_hh_usp4_dpo1
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_usp4_dpo1", "results": []}]} | guoyu-zhang/model_hh_usp4_dpo1 | null | [
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"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-17T02:00:31+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_hh\_usp4\_dpo1
=====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4508
* Rewards/chosen: -8.1181
* Rewards/rejected: -9.7860
* Rewards/accuracies: 0.6000
* Rewards/margins: 1.6680
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | null |
# Shadowm7expExperiment26-7B
Shadowm7expExperiment26-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
## 🧩 Configuration
```yaml
models:
- model: mahiatlinux/Shado... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["yam-peleg/Experiment26-7B"]} | automerger/Shadowm7expExperiment26-7B | null | [
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"mergekit",
"lazymergekit",
"automerger",
"base_model:yam-peleg/Experiment26-7B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T02:04:05+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #base_model-yam-peleg/Experiment26-7B #license-apache-2.0 #region-us
|
# Shadowm7expExperiment26-7B
Shadowm7expExperiment26-7B is an automated merge created by Maxime Labonne using the following configuration.
* yam-peleg/Experiment26-7B
## Configuration
## Usage
| [
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text-to-image | diffusers |
# maky-base-00001 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 "maky-base-00001"
Co... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/maky-base-00001 | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-17T02:05:08+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# maky-base-00001 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 "maky-base-00001"
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... | [
"# maky-base-00001 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 \"maky-base-00001\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Genera... | [
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"# maky-base-00001 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment n... | [
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text-to-image | diffusers |
# Better than Hentai XXL 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 "better-than-... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/better-than-hentai-xxl | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-17T02:07:15+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Better than Hentai XXL 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 "better-than-hentai-xxl"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Imag... | [
"# Better than Hentai XXL 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 \"better-than-hentai-xxl\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model fo... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# Better than Hentai XXL API Inference\n\n!generated from URL",
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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. -->
# GUE_tf_1-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_tf_1-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-17T02:07:45+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_tf\_1-seqsight\_32768\_512\_43M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6746
* F1 Score: 0.7350
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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": []} | adediu25/implicit-fbert-all | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T02:08:13+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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"# Model Card for Model ID",
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text-generation | transformers | May or may not be deleted wizardcoder-33b-v1.1.
# Prompt format
```
### Instruction:
{instruction}
### Response:
```
# Original model card: WizardLM's Wizardcoder 33B V1.1
## WizardCoder: Empowering Code Large Language Models with Evol-Instruct
<p style="font-size:28px;" align="center">
🏠 <a href="https://wizar... | {"license": "wtfpl", "library_name": "transformers", "tags": ["code"], "metrics": ["code_eval"], "model-index": [{"name": "WizardCoder", "results": [{"task": {"type": "text-generation"}, "dataset": {"name": "HumanEval", "type": "openai_humaneval"}, "metrics": [{"type": "pass@1", "value": 0.799, "name": "pass@1", "verif... | ChuckMcSneed/wizardcoder-33b-v1.1-mirror | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-17T02:13:47+00:00 | [
"2304.12244",
"2306.08568",
"2308.09583"
] | [] | TAGS
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| May or may not be deleted wizardcoder-33b-v1.1.
Prompt format
=============
Original model card: WizardLM's Wizardcoder 33B V1.1
====================================================
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
--------------------------------------------------------------... | [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #code #arxiv-2304.12244 #arxiv-2306.08568 #arxiv-2308.09583 #license-wtfpl #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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] |
text-generation | transformers |
# stablelm-3b-dare1
stablelm-3b-dare1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [stabilityai/stablelm-zephyr-3b](https://huggingface.co/stabilityai/stablelm-zephyr-3b)
* [stabilityai/japanese-stablelm-3b-4e1t-base]... | {"tags": ["merge", "mergekit", "lazymergekit", "stabilityai/stablelm-zephyr-3b", "stabilityai/japanese-stablelm-3b-4e1t-base"], "base_model": ["stabilityai/stablelm-zephyr-3b", "stabilityai/japanese-stablelm-3b-4e1t-base"]} | aipib/stablelm-3b-dare1 | null | [
"transformers",
"safetensors",
"stablelm_epoch",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"stabilityai/stablelm-zephyr-3b",
"stabilityai/japanese-stablelm-3b-4e1t-base",
"custom_code",
"base_model:stabilityai/stablelm-zephyr-3b",
"base_model:stabilityai/japanese-stablelm-3b-4e1t... | null | 2024-04-17T02:14:00+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm_epoch #text-generation #merge #mergekit #lazymergekit #stabilityai/stablelm-zephyr-3b #stabilityai/japanese-stablelm-3b-4e1t-base #custom_code #base_model-stabilityai/stablelm-zephyr-3b #base_model-stabilityai/japanese-stablelm-3b-4e1t-base #autotrain_compatible #region-us
|
# stablelm-3b-dare1
stablelm-3b-dare1 is a merge of the following models using LazyMergekit:
* stabilityai/stablelm-zephyr-3b
* stabilityai/japanese-stablelm-3b-4e1t-base
## Configuration
## Usage
| [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_4-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_tf_4-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-17T02:15:09+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_tf\_4-seqsight\_32768\_512\_43M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9774
* F1 Score: 0.7032
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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": []} | gslshbs/bloomz-560m_PROMPT_TUNING_CAUSAL_LM | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T02:15:29+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | 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. -->
# GUE_tf_3-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_tf_3-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-17T02:17:24+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_tf\_3-seqsight\_32768\_512\_43M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7001
* F1 Score: 0.5891
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# remote_sensing_gpt_expt2
This model is a fine-tuned version of [bigscience/bloom-1b1](https://huggingface.co/bigscience/bloom-1b... | {"license": "bigscience-bloom-rail-1.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "bigscience/bloom-1b1", "model-index": [{"name": "remote_sensing_gpt_expt2", "results": []}]} | gremlin97/remote_sensing_gpt_expt2 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:bigscience/bloom-1b1",
"license:bigscience-bloom-rail-1.0",
"region:us"
] | null | 2024-04-17T02:17:40+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-bigscience/bloom-1b1 #license-bigscience-bloom-rail-1.0 #region-us
| remote\_sensing\_gpt\_expt2
===========================
This model is a fine-tuned version of bigscience/bloom-1b1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5338
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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TigerResearch/tigerbot-70b-chat-v4
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/tigerb... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "TigerResearch/tigerbot-70b-chat-v4", "quantized_by": "mradermacher"} | mradermacher/tigerbot-70b-chat-v4-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:TigerResearch/tigerbot-70b-chat-v4",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T02:18:00+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-TigerResearch/tigerbot-70b-chat-v4 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
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. -->
# GUE_tf_2-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_tf_2-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-17T02:18:48+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_tf\_2-seqsight\_32768\_512\_43M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9202
* F1 Score: 0.6648
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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text-to-image | diffusers |
# maky-base-00002 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 "maky-base-00002"
C... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/maky-base-00002 | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-17T02:19:15+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# maky-base-00002 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 "maky-base-00002"
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... | [
"# maky-base-00002 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 \"maky-base-00002\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Genera... | [
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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. -->
# mistral7binstruct_summarize
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral7binstruct_summarize", "results": []}]} | MiguelCosta/mistral7binstruct_summarize | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T02:20:15+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral7binstruct\_summarize
============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4720
Model description
-----------------
More information needed
Intended uses & limit... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\n* lr\\_scheduler\\_warmup\\_step... | [
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null | transformers |
# SilverFan/WizardIceLemonTeaRP-7b-32k-GGUF
This model was converted to GGUF format from [`icefog72/WizardIceLemonTeaRP-32k`](https://huggingface.co/icefog72/WizardIceLemonTeaRP-32k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mode... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw", "llama-cpp", "gguf-my-repo"]} | SilverFan/WizardIceLemonTeaRP-7b-32k-GGUF | null | [
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"endpoints_compatible",
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|
# SilverFan/WizardIceLemonTeaRP-7b-32k-GGUF
This model was converted to GGUF format from 'icefog72/WizardIceLemonTeaRP-32k' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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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": []} | Julesb5/roberta-base-med1 | null | [
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#transformers #safetensors #roberta #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
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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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- Model type:
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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. -->
# model_shp1_dpo9
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_shp1_dpo9", "results": []}]} | guoyu-zhang/model_shp1_dpo9 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_shp1\_dpo9
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9825
* Rewards/chosen: -4.5568
* Rewards/rejected: -4.1702
* Rewards/accuracies: 0.4400
* Rewards/margins: -0.3866
* Logps... | [
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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. -->
# GUE_prom_prom_300_tata-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_65536_512_47M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_prom\_prom\_300\_tata-seqsight\_65536\_512\_47M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
It achieves the following results on the evaluation... | [
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text-generation | transformers | 
# flammen18-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning. Flammen specializes in exceptional character roleplay, creative writing, and general intelligence
This is a merge of pre-train... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["nbeerbower/flammen11-mistral-7B", "nbeerbower/flammen15-gutenberg-DPO-v1-7B", "nbeerbower/Flammen-Kunoichi-7B", "nbeerbower/flammen11X-mistral-7B", "nbeerbower/Maidphin-Kunoichi-7B", "nbeerbower/Suppe-v1-7B", "nbeer... | flammenai/flammen18-mistral-7B | null | [
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... | null | 2024-04-17T02:25:16+00:00 | [
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# flammen18-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning. Flammen specializes in exceptional character roleplay, creative writing, and general intelligence
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This mod... | [
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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": "deepseek-ai/deepseek-coder-6.7b-base"} | JVictor-CC/deepseek-coder-6.7b-base | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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. -->
# GUE_prom_prom_300_notata-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_65536_512_47M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_65536\_512\_47M-L32\_all
===============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the eval... | [
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text-classification | transformers | # tam_test_merge_out_drug_data_dare_linear
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [mllm-dev/gpt2_f_experiment_0_dru... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_1_drug_data", "mllm-dev/gpt2_f_experiment_2_drug_data", "mllm-dev/gpt2_f_experiment_3_drug_data", "mllm-dev/gpt2_f_experiment_4_drug_data", "mllm-dev/gpt2_f_experiment_0_drug_data"]} | mllm-dev/gpt2_m_experiment_drug_data_dare_linear | null | [
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"base_model:mllm-dev/gpt2_f_experi... | null | 2024-04-17T02:28:48+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear DARE merge method using mllm-dev/gpt2_f_experiment_0_drug_data as a base.
### Models Merged
The following models were included i... | [
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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. -->
# v6_trained_weigths
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "v6_trained_weigths", "results": []}]} | AmirlyPhd/v6_trained_weigths | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
| v6\_trained\_weigths
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7728
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# trainer
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "trainer", "results": []}]} | indiana500/trainer | null | [
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| trainer
=======
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: 0.6671
* Accuracy: {'accuracy': 0.6136936111747194}
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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text-classification | transformers | # tam_test_merge_out_drug_data_ties_test
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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [mllm-dev/gpt2_f_experiment_0_drug_data](h... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_4_drug_data", "mllm-dev/gpt2_f_experiment_0_drug_data", "mllm-dev/gpt2_f_experiment_2_drug_data", "mllm-dev/gpt2_f_experiment_3_drug_data", "mllm-dev/gpt2_f_experiment_1_drug_data"]} | mllm-dev/gpt2_m_experiment_drug_data_ties_test | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using mllm-dev/gpt2_f_experiment_0_drug_data as a base.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-finetuned-githubCybersecurity
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-githubCybersecurity", "results": []}]} | chihan0425/distilgpt2-finetuned-githubCybersecurity | null | [
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| distilgpt2-finetuned-githubCybersecurity
========================================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
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* Loss: 3.6065
Model description
-----------------
More information needed
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text-generation | transformers |
# stablelm-3b-dare2
stablelm-3b-dare2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [stabilityai/japanese-stablelm-3b-4e1t-instruct](https://huggingface.co/stabilityai/japanese-stablelm-3b-4e1t-instruct)
* [stabilityai... | {"tags": ["merge", "mergekit", "lazymergekit", "stabilityai/japanese-stablelm-3b-4e1t-instruct", "stabilityai/japanese-stablelm-3b-4e1t-base"], "base_model": ["stabilityai/japanese-stablelm-3b-4e1t-instruct", "stabilityai/japanese-stablelm-3b-4e1t-base"]} | aipib/stablelm-3b-dare2 | null | [
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# stablelm-3b-dare2
stablelm-3b-dare2 is a merge of the following models using LazyMergekit:
* stabilityai/japanese-stablelm-3b-4e1t-instruct
* stabilityai/japanese-stablelm-3b-4e1t-base
## Configuration
## Usage
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text-classification | transformers | # tam_test_merge_out_drug_data_dare_ties_test
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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [mllm-dev/gpt2_f_experiment_0_drug_da... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_1_drug_data", "mllm-dev/gpt2_f_experiment_4_drug_data", "mllm-dev/gpt2_f_experiment_0_drug_data", "mllm-dev/gpt2_f_experiment_2_drug_data", "mllm-dev/gpt2_f_experiment_3_drug_data"]} | mllm-dev/gpt2_m_experiment_drug_data_dare_ties_test | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using mllm-dev/gpt2_f_experiment_0_drug_data as a base.
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text-generation | transformers |
<!-- header start -->
<p align="center">
<img src="https://i.imgur.com/mNM6Cai.png" width="100%" alt="Friendli Logo">
</p>
<!-- header end -->
# Mixtral-8x7B-Instruct-v0.1 - FP8
- Model creator: [Mistral AI](https://huggingface.co/mistralai)
- Original model: [Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mis... | {"license": "apache-2.0", "tags": ["pretrained"], "model_name": "mistralai/Mixtral-8x7B-Instruct-v0.1", "base_model": "mistralai/Mixtral-8X7B-Instruct-v0.1", "inference": false, "model_link": "https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1", "pipeline_tag": "text-generation", "quantized_by": "FriendliAI"} | FriendliAI/Mixtral-8x7B-Instruct-v0.1-fp8 | null | [
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|
<p align="center">
<img src="https://i.URL width="100%" alt="Friendli Logo">
</p>
# Mixtral-8x7B-Instruct-v0.1 - FP8
- Model creator: Mistral AI
- Original model: Mixtral-8x7B-Instruct-v0.1
## Description
This repo contains the Mixtral-8x7B-Instruct-v0.1 model quantized to FP8 by FriendliAI, significantly en... | [
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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. -->
# coinplusfire_llm_full
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistrala... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "coinplusfire_llm_full", "results": []}]} | coinplusfire/coinplusfire_llm_full | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| coinplusfire\_llm\_full
=======================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2466
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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text-classification | transformers | # tam_test_merge_out_drug_data_dare_linear_test
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [mllm-dev/gpt2_f_experiment_... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_4_drug_data", "mllm-dev/gpt2_f_experiment_3_drug_data", "mllm-dev/gpt2_f_experiment_1_drug_data", "mllm-dev/gpt2_f_experiment_0_drug_data", "mllm-dev/gpt2_f_experiment_2_drug_data"]} | mllm-dev/gpt2_m_experiment_drug_data_dare_linear_test | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear DARE merge method using mllm-dev/gpt2_f_experiment_0_drug_data as a base.
### Models Merged
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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. -->
# model_usp3_dpo5
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_usp3_dpo5", "results": []}]} | guoyu-zhang/model_usp3_dpo5 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_usp3\_dpo5
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9416
* Rewards/chosen: -10.2877
* Rewards/rejected: -15.9492
* Rewards/accuracies: 0.6500
* Rewards/margins: 5.6615
* Logp... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_prom_prom_core_all-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_65536_512_47M-L32_all | null | [
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| GUE\_prom\_prom\_core\_all-seqsight\_65536\_512\_47M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
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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": []} | acram/gemma-PII-NER-Instruct-Finetune-test | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma-PII-NER-Instruct-Finetune-test
This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/ge... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-7b-it", "model-index": [{"name": "gemma-PII-NER-Instruct-Finetune-test", "results": []}]} | acram/outputs | null | [
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# gemma-PII-NER-Instruct-Finetune-test
This model is a fine-tuned version of google/gemma-7b-it on the acram/pii_ner_instructions_alpaca_style dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# 🏵️ Anthesis_7B
Anthesis_7B is a merge of the following models:
* [rmdhirr/Foxglove_7B](https://huggingface.co/rmdhirr/Foxglove_7B)
* [ResplendentAI/Paradigm_Shift_7B](https://huggingface.co/ResplendentAI/Paradigm_Shift_7B)
# Formatting/Preset
Alpaca works best, but Mistral gives good outputs as well.
# Configura... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["rmdhirr/Foxglove_7B", "ResplendentAI/Paradigm_Shift_7B", "merge", "mergekit", "roleplay", "mistral"], "base_model": ["rmdhirr/Foxglove_7B", "ResplendentAI/Paradigm_Shift_7B"], "model-index": [{"name": "Anthesis_7B", "results": [{"ta... | rmdhirr/Anthesis_7B | null | [
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==============
Anthesis\_7B is a merge of the following models:
* rmdhirr/Foxglove\_7B
* ResplendentAI/Paradigm\_Shift\_7B
Formatting/Preset
=================
Alpaca works best, but Mistral gives good outputs as well.
Configuration
=============
Open LLM Leaderboard Evaluation Results
=======... | [] | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# T5-base-10K-summarization
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-base", "model-index": [{"name": "T5-base-10K-summarization", "results": []}]} | yatharth97/T5-base-10K-summarization | null | [
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|
# T5-base-10K-summarization
This model is a fine-tuned version of t5-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The... | [
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text-generation | transformers |
# Mixtral-8x7B-Instruct-v0.1-japanese
Mixtral-8x7B-Instruct-v0.1-japaneseは[Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)をベースに日本語の語彙拡張継続事前学習を実施したモデルです。
詳細は[ABEJAのテックブログ](https://tech-blog.abeja.asia/entry/abeja-nedo-project-part1-202404)を参照してください。
学習を実施したMetagton-LMのレポジトリ... | {"language": ["ja"], "license": "apache-2.0", "widget": [{"text": "\u4eba\u3068AI\u304c\u5354\u8abf\u3059\u308b\u305f\u3081\u306b\u306f\u3001"}]} | abeja/Mixtral-8x7B-Instruct-v0.1-japanese | null | [
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# Mixtral-8x7B-Instruct-v0.1-japanese
Mixtral-8x7B-Instruct-v0.1-japaneseはMixtral-8x7B-Instruct-v0.1をベースに日本語の語彙拡張継続事前学習を実施したモデルです。
詳細はABEJAのテックブログを参照してください。
学習を実施したMetagton-LMのレポジトリはこちらです。
# 使い方
# 開発者
- Keisuke Fujimoto
- Kentaro Nakanishi
- Kyo Hattori
- Shinya Otani
- Shogo Muranushi
(*)アルファベット順
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text-classification | peft |
# Model Card
## License
The use of this model is governed by the [Llama 2 Community License Agreement](https://ai.meta.com/llama/license/).
## Model Details
Aegis-AI-Content-Safety-LlamaGuard-LLM-Defensive-1.0 is a LLM content safety model. It is a parameter efficient instruction tuned version of [Llama Guard](http... | {"language": ["en"], "license": "llama2", "library_name": "peft", "datasets": ["nvidia/Aegis-AI-Content-Safety-Dataset-1.0"], "metrics": ["f1"], "pipeline_tag": "text-classification"} | nvidia/Aegis-AI-Content-Safety-LlamaGuard-Defensive-1.0 | null | [
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| Model Card
==========
License
-------
The use of this model is governed by the Llama 2 Community License Agreement.
Model Details
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text-classification | peft |
# Model Card
## License
The use of this model is governed by the [Llama 2 Community License Agreement](https://ai.meta.com/llama/license/).
## Model Details
Aegis-AI-Content-Safety-LlamaGuard-LLM-Permissive-1.0 is a LLM content safety model. It is a parameter efficient instruction tuned version of [Llama Guard](ht... | {"language": ["en"], "license": "llama2", "library_name": "peft", "datasets": ["nvidia/Aegis-AI-Content-Safety-Dataset-1.0"], "metrics": ["f1"], "pipeline_tag": "text-classification"} | nvidia/Aegis-AI-Content-Safety-LlamaGuard-Permissive-1.0 | null | [
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| Model Card
==========
License
-------
The use of this model is governed by the Llama 2 Community License Agreement.
Model Details
-------------
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_notata-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_65536_512_47M-L32_all | null | [
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| GUE\_prom\_prom\_core\_notata-seqsight\_65536\_512\_47M-L32\_all
================================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
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"]} | alosmetria/llama-test-model | 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. -->
# GUE_prom_prom_core_tata-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_5... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_65536_512_47M-L32_all | null | [
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==============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
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text-generation | transformers |
# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
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null | diffusers |
# Model Card for Unit 4 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional audio generation of music in the genre Electronic
## Usage
```python
from IPython.display import Audio
from diffusers import DiffusionPipeline
pipe = D... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-audio-generation", "diffusion-models-class"]} | Yellow514/audio-diffusion-electronic | null | [
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"pytorch",
"unconditional-audio-generation",
"diffusion-models-class",
"license:mit",
"diffusers:AudioDiffusionPipeline",
"region:us"
] | null | 2024-04-17T03:06:39+00:00 | [] | [] | TAGS
#diffusers #safetensors #pytorch #unconditional-audio-generation #diffusion-models-class #license-mit #diffusers-AudioDiffusionPipeline #region-us
|
# Model Card for Unit 4 of the Diffusion Models Class
This model is a diffusion model for unconditional audio generation of music in the genre Electronic
## Usage
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_all-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_65536_512_47M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-04-17T03:06:52+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_65536\_512\_47M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation se... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | null |
# DavidAU/open-llama-3b-v2-instruct-Q6_K-GGUF
This model was converted to GGUF format from [`mediocredev/open-llama-3b-v2-instruct`](https://huggingface.co/mediocredev/open-llama-3b-v2-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [o... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "model-index": [{"name": "open-llama-3b-v2-instruct", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "arg... | DavidAU/open-llama-3b-v2-instruct-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-17T03:07:00+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #model-index #region-us
|
# DavidAU/open-llama-3b-v2-instruct-Q6_K-GGUF
This model was converted to GGUF format from 'mediocredev/open-llama-3b-v2-instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
"# DavidAU/open-llama-3b-v2-instruct-Q6_K-GGUF\nThis model was converted to GGUF format from 'mediocredev/open-llama-3b-v2-instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL serv... | [
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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. -->
# GUE_EMP_H3K14ac-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_65536_512_47M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-04-17T03:08:25+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K14ac-seqsight\_65536\_512\_47M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7666
* F1... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text-generation | transformers |
# DavidAU/open_llama_3b_code_instruct_0.1-Q6_K-GGUF
This model was converted to GGUF format from [`mwitiderrick/open_llama_3b_code_instruct_0.1`](https://huggingface.co/mwitiderrick/open_llama_3b_code_instruct_0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) sp... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["transformers", "llama-cpp", "gguf-my-repo"], "datasets": ["mwitiderrick/AlpacaCode"], "base_model": "openlm-research/open_llama_3b", "inference": true, "model_type": "llama", "prompt_template": "### Instruction:\\n\n{prompt}\n### Re... | DavidAU/open_llama_3b_code_instruct_0.1-Q6_K-GGUF | null | [
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"gguf",
"llama-cpp",
"gguf-my-repo",
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"base_model:openlm-research/open_llama_3b",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T03:08:38+00:00 | [] | [
"en"
] | TAGS
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|
# DavidAU/open_llama_3b_code_instruct_0.1-Q6_K-GGUF
This model was converted to GGUF format from 'mwitiderrick/open_llama_3b_code_instruct_0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server ... | [
"# DavidAU/open_llama_3b_code_instruct_0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'mwitiderrick/open_llama_3b_code_instruct_0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke... | [
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null | null |
# DavidAU/open-llama-3b-v2-instruct-Q8_0-GGUF
This model was converted to GGUF format from [`mediocredev/open-llama-3b-v2-instruct`](https://huggingface.co/mediocredev/open-llama-3b-v2-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [o... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "model-index": [{"name": "open-llama-3b-v2-instruct", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "arg... | DavidAU/open-llama-3b-v2-instruct-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-17T03:09:23+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #model-index #region-us
|
# DavidAU/open-llama-3b-v2-instruct-Q8_0-GGUF
This model was converted to GGUF format from 'mediocredev/open-llama-3b-v2-instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
"# DavidAU/open-llama-3b-v2-instruct-Q8_0-GGUF\nThis model was converted to GGUF format from 'mediocredev/open-llama-3b-v2-instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL serv... | [
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text-generation | transformers |
# DavidAU/open_llama_3b_code_instruct_0.1-Q8_0-GGUF
This model was converted to GGUF format from [`mwitiderrick/open_llama_3b_code_instruct_0.1`](https://huggingface.co/mwitiderrick/open_llama_3b_code_instruct_0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) sp... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["transformers", "llama-cpp", "gguf-my-repo"], "datasets": ["mwitiderrick/AlpacaCode"], "base_model": "openlm-research/open_llama_3b", "inference": true, "model_type": "llama", "prompt_template": "### Instruction:\\n\n{prompt}\n### Re... | DavidAU/open_llama_3b_code_instruct_0.1-Q8_0-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
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"dataset:mwitiderrick/AlpacaCode",
"base_model:openlm-research/open_llama_3b",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T03:09:53+00:00 | [] | [
"en"
] | TAGS
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|
# DavidAU/open_llama_3b_code_instruct_0.1-Q8_0-GGUF
This model was converted to GGUF format from 'mwitiderrick/open_llama_3b_code_instruct_0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server ... | [
"# DavidAU/open_llama_3b_code_instruct_0.1-Q8_0-GGUF\nThis model was converted to GGUF format from 'mwitiderrick/open_llama_3b_code_instruct_0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #en #dataset-mwitiderrick/AlpacaCode #base_model-openlm-research/open_llama_3b #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"# DavidAU/open_llama_3b_code_instruct_0.1-Q8_0-GGUF\nThis model was converted to GGUF format f... | [
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"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #en #dataset-mwitiderrick/AlpacaCode #base_model-openlm-research/open_llama_3b #license-apache-2.0 #model-index #endpoints_compatible #region-us \n# DavidAU/open_llama_3b_code_instruct_0.1-Q8_0-GGUF\nThis model was converted to GGUF format from 'm... |
null | null |
# DavidAU/stablelm-3b-instruct-Q8_0-GGUF
This model was converted to GGUF format from [`mediocredev/stablelm-3b-instruct`](https://huggingface.co/mediocredev/stablelm-3b-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model c... | {"license": "cc-by-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/stablelm-3b-instruct-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-sa-4.0",
"region:us"
] | null | 2024-04-17T03:10:40+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-cc-by-sa-4.0 #region-us
|
# DavidAU/stablelm-3b-instruct-Q8_0-GGUF
This model was converted to GGUF format from 'mediocredev/stablelm-3b-instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Se... | [
"# DavidAU/stablelm-3b-instruct-Q8_0-GGUF\nThis model was converted to GGUF format from 'mediocredev/stablelm-3b-instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the ... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-cc-by-sa-4.0 #region-us \n",
"# DavidAU/stablelm-3b-instruct-Q8_0-GGUF\nThis model was converted to GGUF format from 'mediocredev/stablelm-3b-instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"#... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-cc-by-sa-4.0 #region-us \n# DavidAU/stablelm-3b-instruct-Q8_0-GGUF\nThis model was converted to GGUF format from 'mediocredev/stablelm-3b-instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with U... |
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 En - Whisper with ATCOSIM
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/open... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["Jzuluaga/atcosim_corpus"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small En - Whisper with ATCOSIM", "results": [{"task": {"type": "automatic-speech-recognition", "name": "... | youngsangroh/whisper-small-finetuned-atcosim-corpus | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"en",
"dataset:Jzuluaga/atcosim_corpus",
"base_model:openai/whisper-small",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T03:11:03+00:00 | [] | [
"en"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #en #dataset-Jzuluaga/atcosim_corpus #base_model-openai/whisper-small #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Whisper Small En - Whisper with ATCOSIM
=======================================
This model is a fine-tuned version of openai/whisper-small on the Air Traffic Control Simulation Speech corpus dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0487
* Wer: 1.4442
Model description
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #en #dataset-Jzuluaga/atcosim_corpus #base_model-openai/whisper-small #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameter... | [
72,
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44
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"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #en #dataset-Jzuluaga/atcosim_corpus #base_model-openai/whisper-small #license-apache-2.0 #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were... |
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. -->
# imdb-spoiler-distilbertOrigDataset
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "imdb-spoiler-distilbertOrigDataset", "results": []}]} | Zritze/imdb-spoiler-distilbertOrigDataset | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T03:11:08+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| imdb-spoiler-distilbertOrigDataset
==================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7018
* Accuracy: 0.6949
* Recall: 0.6715
* Precision: 0.7044
* F1: 0.6876
Model description
--... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning... | [
56,
101,
5,
44
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"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rat... |
null | null |
# DavidAU/stablelm-3b-instruct-Q6_K-GGUF
This model was converted to GGUF format from [`mediocredev/stablelm-3b-instruct`](https://huggingface.co/mediocredev/stablelm-3b-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model c... | {"license": "cc-by-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/stablelm-3b-instruct-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-sa-4.0",
"region:us"
] | null | 2024-04-17T03:11:35+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-cc-by-sa-4.0 #region-us
|
# DavidAU/stablelm-3b-instruct-Q6_K-GGUF
This model was converted to GGUF format from 'mediocredev/stablelm-3b-instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Se... | [
"# DavidAU/stablelm-3b-instruct-Q6_K-GGUF\nThis model was converted to GGUF format from 'mediocredev/stablelm-3b-instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the ... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-cc-by-sa-4.0 #region-us \n",
"# DavidAU/stablelm-3b-instruct-Q6_K-GGUF\nThis model was converted to GGUF format from 'mediocredev/stablelm-3b-instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"#... | [
36,
78,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-cc-by-sa-4.0 #region-us \n# DavidAU/stablelm-3b-instruct-Q6_K-GGUF\nThis model was converted to GGUF format from 'mediocredev/stablelm-3b-instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with U... |
text-to-image | null |
## 19936-BUKAKAKE-LORA
<img src="https://via.placeholder.com/468x300?text=App+Screenshot+Here" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details - - "It is rather prone to getting cum on hair, and has a sl... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/19936-BUKAKAKE-LORA | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-17T03:11:48+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| 19936-BUKAKAKE-LORA
-------------------
<img src="URL alt="Generated on Image Pipeline" style="border-radius: 10px;">
This lora model is uploaded on URL
Model details - - "It is rather prone to getting cum on hair, and has a slight bias against facials/cum on faces, so make sure to tune for that in your prompt so... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
"TAGS\n#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us \n",
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_... | [
35,
5,
53,
20,
29
] | [
"TAGS\n#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us \n### API Reference#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/TriadParty/deepsex-34b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/deepsex-34b-GGUF
#... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["roleplay", "not-for-all-audiences"], "datasets": ["lemonilia/LimaRP", "PygmalionAI/PIPPA"], "base_model": "TriadParty/deepsex-34b", "quantized_by": "mradermacher"} | mradermacher/deepsex-34b-i1-GGUF | null | [
"transformers",
"gguf",
"roleplay",
"not-for-all-audiences",
"en",
"dataset:lemonilia/LimaRP",
"dataset:PygmalionAI/PIPPA",
"base_model:TriadParty/deepsex-34b",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T03:12:06+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #roleplay #not-for-all-audiences #en #dataset-lemonilia/LimaRP #dataset-PygmalionAI/PIPPA #base_model-TriadParty/deepsex-34b #license-mit #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. ... | [] | [
"TAGS\n#transformers #gguf #roleplay #not-for-all-audiences #en #dataset-lemonilia/LimaRP #dataset-PygmalionAI/PIPPA #base_model-TriadParty/deepsex-34b #license-mit #endpoints_compatible #region-us \n"
] | [
70
] | [
"TAGS\n#transformers #gguf #roleplay #not-for-all-audiences #en #dataset-lemonilia/LimaRP #dataset-PygmalionAI/PIPPA #base_model-TriadParty/deepsex-34b #license-mit #endpoints_compatible #region-us \n"
] |
null | null |
# DavidAU/Neversleep-3B-Instruct-v0.1-Q6_K-GGUF
This model was converted to GGUF format from [`crimsonjoo/Neversleep-3B-Instruct-v0.1`](https://huggingface.co/crimsonjoo/Neversleep-3B-Instruct-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to th... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "yanolja/EEVE-Korean-2.8B-v1.0"} | DavidAU/Neversleep-3B-Instruct-v0.1-Q6_K-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:yanolja/EEVE-Korean-2.8B-v1.0",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T03:13:18+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-yanolja/EEVE-Korean-2.8B-v1.0 #license-apache-2.0 #region-us
|
# DavidAU/Neversleep-3B-Instruct-v0.1-Q6_K-GGUF
This model was converted to GGUF format from 'crimsonjoo/Neversleep-3B-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI... | [
"# DavidAU/Neversleep-3B-Instruct-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'crimsonjoo/Neversleep-3B-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL s... | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-yanolja/EEVE-Korean-2.8B-v1.0 #license-apache-2.0 #region-us \n",
"# DavidAU/Neversleep-3B-Instruct-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'crimsonjoo/Neversleep-3B-Instruct-v0.1' using URL via the URL's GGUF-my-repo s... | [
61,
89,
52
] | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-yanolja/EEVE-Korean-2.8B-v1.0 #license-apache-2.0 #region-us \n# DavidAU/Neversleep-3B-Instruct-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'crimsonjoo/Neversleep-3B-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.\... |
null | transformers |
# DavidAU/French-Alpaca-Croissant-1.3B-Instruct-Q6_K-GGUF
This model was converted to GGUF format from [`AdrienB134/French-Alpaca-Croissant-1.3B-Instruct`](https://huggingface.co/AdrienB134/French-Alpaca-Croissant-1.3B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gg... | {"language": ["en", "fr"], "license": "mit", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft", "llama-cpp", "gguf-my-repo"], "datasets": ["jpacifico/French-Alpaca-dataset-Instruct-110K"], "base_model": "croissantllm/CroissantLLMBase"} | DavidAU/French-Alpaca-Croissant-1.3B-Instruct-Q6_K-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"sft",
"llama-cpp",
"gguf-my-repo",
"en",
"fr",
"dataset:jpacifico/French-Alpaca-dataset-Instruct-110K",
"base_model:croissantllm/CroissantLLMBase",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T03:13:42+00:00 | [] | [
"en",
"fr"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #llama #trl #sft #llama-cpp #gguf-my-repo #en #fr #dataset-jpacifico/French-Alpaca-dataset-Instruct-110K #base_model-croissantllm/CroissantLLMBase #license-mit #endpoints_compatible #region-us
|
# DavidAU/French-Alpaca-Croissant-1.3B-Instruct-Q6_K-GGUF
This model was converted to GGUF format from 'AdrienB134/French-Alpaca-Croissant-1.3B-Instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the U... | [
"# DavidAU/French-Alpaca-Croissant-1.3B-Instruct-Q6_K-GGUF\nThis model was converted to GGUF format from 'AdrienB134/French-Alpaca-Croissant-1.3B-Instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n... | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #llama #trl #sft #llama-cpp #gguf-my-repo #en #fr #dataset-jpacifico/French-Alpaca-dataset-Instruct-110K #base_model-croissantllm/CroissantLLMBase #license-mit #endpoints_compatible #region-us \n",
"# DavidAU/French-Alpaca-Croissant-1.3B-Instruct-Q6_K... | [
98,
97,
52
] | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #llama #trl #sft #llama-cpp #gguf-my-repo #en #fr #dataset-jpacifico/French-Alpaca-dataset-Instruct-110K #base_model-croissantllm/CroissantLLMBase #license-mit #endpoints_compatible #region-us \n# DavidAU/French-Alpaca-Croissant-1.3B-Instruct-Q6_K-GGUF\... |
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