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sentence-similarity | sentence-transformers |
# xlreator/biosyn-biobert-snomed
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | xlreator/biosyn-biobert-snomed | null | [
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# xlreator/biosyn-biobert-snomed
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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 and Huggingface's TRL library.
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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null | transformers |
# Model Card for Model ID
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg", "base_mo... | PrunaAI/UnicomLLM-Unichat-llama3-Chinese-8B-HQQ-4bit-smashed | null | [
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#transformers #llama #text-generation #pruna-ai #base_model-UnicomLLM/Unichat-llama3-Chinese-8B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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 and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | WbjuSrceu/l | null | [
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|
# Uploaded model
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text-to-image | diffusers | # Dottore
<Gallery />
## Trigger words
You should use `1boy` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Akimitsujiro/Dottore-Genshin-impact/tree/main) them in the Files & versions tab.
| {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "1boy, male_focus, solo, earrings, jewelry, red_eyes, gloves, blue_hair, fur_trim, blood, mask, open_mouth, smile, hair_between_eyes, black_gloves, coat, upper_body, teeth, ho... | Akimitsujiro/Dottore-Genshin-impact | null | [
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| # Dottore
<Gallery />
## Trigger words
You should use '1boy' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
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text-generation | null |
## Llamacpp imatrix Quantizations of Meta-Llama-3-8B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> commit <a href="https://github.com/ggerganov/llama.cpp/commit/ffe666572f98a686b17a2cd1dbf4c0a982e5ac0a">ffe6665</a> for quantization.
Original model: https://huggingface.co/meta-llama/M... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | bartowski/Meta-Llama-3-8B-Instruct-GGUF | null | [
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| Llamacpp imatrix Quantizations of Meta-Llama-3-8B-Instruct
----------------------------------------------------------
Using <a href="URL commit <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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 on an un... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-large", "model-index": [{"name": "roberta-large-peft-p-tuning", "results": []}]} | NikiBase/roberta-large-peft-p-tuning | null | [
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#peft #safetensors #generated_from_trainer #base_model-roberta-large #license-mit #region-us
| roberta-large-peft-p-tuning
===========================
This model is a fine-tuned version of roberta-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6299
* Accuracy: 0.6649
* F1: 0.7987
Model description
-----------------
More information needed
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg", "base_mo... | PrunaAI/google-codegemma-2b-AWQ-4bit-smashed | null | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
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Congratulations on hosting your fastai model on the Hugging Face Hub!
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | JenniferDrieenhuyzen/llama3_npp | null | [
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text-generation | transformers |
# Wizard-llama3-70B

## Model description
Wizard-llama3-70B is the fine tune of llama3 70b on top of public datasets and some additional code datasets. model uses ChatML prompt template format.
W... | {"language": ["en"], "license": "mit", "tags": ["llama-3", "instruct", "finetune", "synthetic data", "distillation"], "base_model": "meta-llama/Meta-Llama-3-70B", "model-index": [{"name": "Wizard-llama3-70B", "results": []}]} | feeltheAGI/Wizard-llama3-70B | null | [
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# Wizard-llama3-70B
!URL
## Model description
Wizard-llama3-70B is the fine tune of llama3 70b on top of public datasets and some additional code datasets. model uses ChatML prompt template format.
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text-generation | transformers |
# Hermes 2 Pro BakLLaVA - Mistral 7B
Hermes 2 Pro's LLaMA weights + BakLLaVA's mm_projector & vision_tower weights.
Good QA + Function Calling + JSON Mode + Vision Multimodal
GGUFs:
- Hermes 2 pro: https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF
- BakLLaVA-1: https://huggingface.co/mys/ggml_bakllav... | {"language": ["en"], "license": "apache-2.0", "tags": ["Mistral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode", "llava", "vision", "multimodal"], "datasets": ["teknium/OpenHermes-2.5", "SkunkworksAI/BakLLaVA-1-FT"], "base_model": ["NousResear... | vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B | null | [
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# Hermes 2 Pro BakLLaVA - Mistral 7B
Hermes 2 Pro's LLaMA weights + BakLLaVA's mm_projector & vision_tower weights.
Good QA + Function Calling + JSON Mode + Vision Multimodal
GGUFs:
- Hermes 2 pro: URL
- BakLLaVA-1: URL
Test code:
Example:
!image/png
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on nreimers/TinyBERT_L-4_H-312_v2
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [nreimers/TinyBERT_L-4_H-312_v2](https://huggingface.co/nreimers/TinyBERT_L-4_H-312_v2) on the [sentence-transformers/wikipedia-en-sentences](https://huggingface.co/datasets/sent... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:MSELoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pearson_dot", "spearman_do... | tomaarsen/TinyBERT_L-4_H-312_v2-distilled-from-stsb-roberta-base-v2 | null | [
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| SentenceTransformer based on nreimers/TinyBERT\_L-4\_H-312\_v2
==============================================================
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null | null |
# Yamshadowexperiment28T3q-7B
Yamshadowexperiment28T3q-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: automerger/YamshadowExperiment28-7B
- model: chihoonle... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Yamshadowexperiment28T3q-7B | null | [
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Yamshadowexperiment28T3q-7B
Yamshadowexperiment28T3q-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | mintujupally/gemma-7b-bnb-4bit-ft | null | [
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"safetensors",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #unsloth #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
Samantha-ita-v0.1 GGUF Files
```
q8_0
q6_k
q5_k,m
q4_k_m
``` | {"language": ["it"], "license": "mit", "tags": ["gguf", "samantha"]} | WasamiKirua/Samantha-ita-mistral-v0.1-GGUF | null | [
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|
Samantha-ita-v0.1 GGUF Files
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null | null | # Llama3-OpenBioLLM-70B-GGUF
- Original model: [Llama3-OpenBioLLM-70B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-70B)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Llama3-OpenBioLLM-70B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-70B).
<!-- description end -->... | {"language": ["en"], "license": "llama3", "tags": ["llama-3", "llama", "Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "distillation", "GGUF"], "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "widget": [{"example_title": "OpenBioLLM-70B", "messages": [{"role": "system", "content": "You are an ... | LiteLLMs/Llama3-OpenBioLLM-70B-GGUF | null | [
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"base_model:meta-llama/Meta-Llama-3-70B-Instruct",
"... | null | 2024-04-29T16:17:46+00:00 | [
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| # Llama3-OpenBioLLM-70B-GGUF
- Original model: Llama3-OpenBioLLM-70B
## Description
This repo contains GGUF format model files for Llama3-OpenBioLLM-70B.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no longer supported by URL.
Here is a... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adaptertoxic2nontoxic-2k-search-50-0.003 | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** jurieyel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | jurieyel/77hr-tuned-Llama3-8b-4bit | null | [
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- License: apache-2.0
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<img src="URL width="200"/>
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg", "base_mo... | PrunaAI/microsoft-Phi-3-mini-128k-instruct-HQQ-1bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
 model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DivyaMereddy007/FewLayers_Finetuning_V1_TrainSetenceTransforme-Finetuning_COpyfromv5finetuneEPOC5 | null | [
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|
# DivyaMereddy007/FewLayers_Finetuning_V1_TrainSetenceTransforme-Finetuning_COpyfromv5finetuneEPOC5
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using thi... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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**.
## Model Summary
C4AI Co... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers"} | TechxGenus/c4ai-command-r-v01-GPTQ | null | [
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|
GPTQ quantized version of c4ai-command-r-v01 model.
---
# Model Card for C4AI Command-R
This model is non-quantized version of C4AI Command-R. You can find the quantized version of C4AI Command-R using bitsandbytes here.
## Model Summary
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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. -->
# sea-lion-7b
This model is a fine-tuned version of [openthaigpt/openthai-llama-pretrained-7B](https://huggingface.co/openthaigpt/... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "openthaigpt/openthai-llama-pretrained-7B", "model-index": [{"name": "sea-lion-7b", "results": []}]} | SuratanBoonpong/sea-lion-7b | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-openthaigpt/openthai-llama-pretrained-7B #region-us
|
# sea-lion-7b
This model is a fine-tuned version of openthaigpt/openthai-llama-pretrained-7B on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="AhmedTarek/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | AhmedTarek/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg", "base_mo... | PrunaAI/microsoft-Phi-3-mini-128k-instruct-HQQ-4bit-smashed | null | [
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 and epsilon=1... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg", "base_mo... | PrunaAI/google-codegemma-7b-AWQ-4bit-smashed | null | [
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.46 +/- ... | AhmedTarek/taxi-v1 | null | [
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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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": []} | Ziming2000/phi2-code-sft | null | [
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#transformers #safetensors #phi #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | quickstep3621/vsk5ab5 | null | [
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# Model Card for Model ID
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/23w9mpm | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/rxim2hq | null | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
model = load_from_hub(repo_id="ws11yrin/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.m... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | ws11yrin/q-Taxi-v3 | null | [
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
model = load_from_hub(repo_id="ws11yrin/q-Taxi-v3", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = URL(model["env_id"])
| [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Madhura
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | Madhura/unsloth_4bit_mistral_imdb_model | null | [
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# Uploaded model
- Developed by: Madhura
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats3-rank8-snrNone
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats3-rank8-snrNone LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as ... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of <s0><s1> giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of <s0><s1> giving a speech", "outpu... | aarashfeizi/jean-francois-godbout-batch3-repeats3-rank8-snrNone | null | [
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"license:openrail++",
"region:us"
] | null | 2024-04-29T16:36:33+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats3-rank8-snrNone
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats3-rank8-snrNone LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as ... | [
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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. -->
# T5_lyrics-model
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the Non... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "google-t5/t5-small", "model-index": [{"name": "T5_lyrics-model", "results": []}]} | anushkat/T5_lyrics-model | null | [
"peft",
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#peft #safetensors #generated_from_trainer #base_model-google-t5/t5-small #license-apache-2.0 #region-us
| T5\_lyrics-model
================
This model is a fine-tuned version of google-t5/t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1808
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | ThatOneSkyler/SpaceInvadersNoFrameskip | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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text-generation | transformers | # output_folder 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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-v0.1", "PrunaAI/WizardLM-WizardMath-7B-V1.0-bnb-4bit-smashed", "codellama/CodeLlama-7b-Instruct-hf"]} | tanyakansal/botcheck | 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 mistralai/Mistral-7B-v0.1 as a base.
### Models Merged
The following models were included in the merge:
* PrunaAI/WizardLM-WizardMat... | [
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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": []} | noeloco/loracamel-merged | 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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- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="AhmedTarek/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | AhmedTarek/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
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# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
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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. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_Chinese_v2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](ht... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_Chinese_v2", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Chinese_v2 | null | [
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"text-generation-inf... | null | 2024-04-29T16:43:44+00:00 | [] | [] | TAGS
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_Chinese_v2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 4_bar_lmd_clean_custom_epochs10
This model is a fine-tuned version of [MikeMpapa/4_bar_lmd_clean_custom_epochs10](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "MikeMpapa/4_bar_lmd_clean_custom_epochs10", "model-index": [{"name": "4_bar_lmd_clean_custom_epochs10", "results": []}]} | MikeMpapa/4_bar_lmd_clean_custom_epochs10 | null | [
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| 4\_bar\_lmd\_clean\_custom\_epochs10
====================================
This model is a fine-tuned version of MikeMpapa/4\_bar\_lmd\_clean\_custom\_epochs10 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8099
Model description
-----------------
More information neede... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ehsanl/e5-base-chnk-ep1 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/7womgzs | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # output_folder 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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-v0.1", "PrunaAI/WizardLM-WizardMath-7B-V1.0-bnb-4bit-smashed", "codellama/CodeLlama-7b-Instruct-hf"]} | tanyakansal/WizardLM-Mistral-CodeLlama-7b | 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 mistralai/Mistral-7B-v0.1 as a base.
### Models Merged
The following models were included in the merge:
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null | null | # Llama3-OpenBioLLM-8B-GGUF
- Original model: [Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B).
<!-- description end -->
<!--... | {"language": ["en"], "license": "llama3", "tags": ["llama-3", "llama", "Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "distillation", "GGUF"], "base_model": "meta-llama/Meta-Llama-3-8B", "widget": [{"example_title": "OpenBioLLM-8B", "messages": [{"role": "system", "content": "You are an expert and ... | LiteLLMs/Llama3-OpenBioLLM-8B-GGUF | null | [
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| # Llama3-OpenBioLLM-8B-GGUF
- Original model: Llama3-OpenBioLLM-8B
## Description
This repo contains GGUF format model files for Llama3-OpenBioLLM-8B.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no longer supported by URL.
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text-generation | null |
## Llamacpp imatrix Quantizations of Phi-3-mini-4k-instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> commit <a href="https://github.com/ggerganov/llama.cpp/commit/ffe666572f98a686b17a2cd1dbf4c0a982e5ac0a">ffe6665</a> for quantization.
Original model: https://huggingface.co/microsoft/Phi-... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfruits?"}... | bartowski/Phi-3-mini-4k-instruct-GGUF | null | [
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| Llamacpp imatrix Quantizations of Phi-3-mini-4k-instruct
--------------------------------------------------------
Using <a href="URL commit <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on distilbert/distilroberta-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the [sentence-transformers/all-nli](https://huggingface.co/datasets/sentence-transformers/... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:Matryoshka2dLoss", "loss:MatryoshkaLoss", "loss:MultipleNegativesRankingLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "... | tomaarsen/distilroberta-base-nli-2d-matryoshka | null | [
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==========================================================
This is a sentence-transformers model finetuned from distilbert/distilroberta-base on the sentence-transformers/all-nli dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space ... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** arthrod
- **License:** apache-2.0
- **Finetuned from model :** botbot-ai/CabraLlama3-8b
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "botbot-ai/CabraLlama3-8b"} | arthrod/cicerocabra | null | [
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|
# Uploaded model
- Developed by: arthrod
- License: apache-2.0
- Finetuned from model : botbot-ai/CabraLlama3-8b
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "mit", "library_name": "transformers"} | houyu0930/test-demo-t5-qa | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pegasus-samsum
This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_da... | {"tags": ["generated_from_trainer"], "base_model": "google/pegasus-cnn_dailymail", "model-index": [{"name": "pegasus-samsum", "results": []}]} | khwrali/pegasus-samsum | null | [
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| pegasus-samsum
==============
This model is a fine-tuned version of google/pegasus-cnn\_dailymail on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4833
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats3-rank32-snrNone
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats3-rank32-snrNone LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such a... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of <s0><s1> giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of <s0><s1> giving a speech", "outpu... | aarashfeizi/jean-francois-godbout-batch3-repeats3-rank32-snrNone | null | [
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|
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats3-rank32-snrNone
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats3-rank32-snrNone LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such a... | [
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"## Download model",
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on distilbert/distilbert-base-uncased
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the [sentence-transformers/stsb](https://huggingface.co/datasets/sentence-t... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:Matryoshka2dLoss", "loss:MatryoshkaLoss", "loss:CoSENTLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean"... | tomaarsen/distilbert-base-uncased-sts-2d-matryoshka | null | [
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===============================================================
This is a sentence-transformers model finetuned from distilbert/distilbert-base-uncased on the sentence-transformers/stsb dataset. It maps sentences & paragraphs to a 768-dimensional dense v... | [
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for Phi-3 here: https://colab.research.google.com/drive/1NvkBmkHfucGO3Ve9s1NKZvMNlw5p83ym?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["unsloth", "phi3", "transformers", "phi"]} | unsloth/Phi-3-mini-4k-instruct | null | [
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for Phi-3 here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune for Fr... | [] | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | ImenMasmoudiEm/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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null | transformers |
# Uploaded model
- **Developed by:** vonewman
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | vonewman/llama-3-8b-finetuned | null | [
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|
# Uploaded model
- Developed by: vonewman
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | kevinwlip/finetuning-sentiment-model-3000-samples | null | [
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|
# finetuning-sentiment-model-3000-samples
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: 0.7678
- Accuracy: 0.71
- F1: 0.7100
## Model description
More information needed
## Intended uses & limitations
More in... | [
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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. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_Korean_v2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](htt... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_Korean_v2", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Korean_v2 | null | [
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"license:other",
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"text-generation-inf... | null | 2024-04-29T17:03:03+00:00 | [] | [] | TAGS
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_Korean_v2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
##... | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | PapiMarkis/futurama | null | [
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OplotNLP/multiclass-sentence-propaganda | 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 | null | GGUFs for Blossom v5 32b - https://huggingface.co/Azure99/blossom-v5-32b
iMatrix generated using Kalomaze's groups_merged.txt
FP16 split with peazip. Recombine with peazip, 7zip, or a simple concatenate command.
| {"language": ["zh", "en"], "license": "apache-2.0"} | MarsupialAI/Blossom-v5-32b_iMatrix_GGUF | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["matthews_correlation"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-cola", "results": []}]} | hanzla107/distilbert-base-uncased-finetuned-cola | null | [
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| distilbert-base-uncased-finetuned-cola
======================================
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: 0.4603
* Matthews Correlation: 0.5325
Model description
-----------------
More infor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-1k-search-3iter-50-0.004 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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": []} | IntellectusAI/mixtral_8x7B_law | 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 | null | # rakib72642/Unilever_Dump_Pepsodent
# Higgingface : https://huggingface.co/rakib72642/Unilever_Dump_Pepsodent
# Setup Global API
sudo apt install iproute2 -y && sudo apt install wget -y && sudo apt install nano -y && sudo apt install unzip -y && sudo apt install unzip -y && apt install nvtop -y && sudo apt-get inst... | {} | rakib72642/Unilever_Dump_Pepsodent | null | [
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#doi-10.57967/hf/2134 #region-us
| # rakib72642/Unilever_Dump_Pepsodent
# Higgingface : URL
# Setup Global API
sudo apt install iproute2 -y && sudo apt install wget -y && sudo apt install nano -y && sudo apt install unzip -y && sudo apt install unzip -y && apt install nvtop -y && sudo apt-get install git-lfs -y && sudo apt-get update && sudo apt-get ... | [
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null | null | <p><strong>Document Organization: Examining American Article Shaping</strong></p>
<p><strong>Introduction:</strong></p>
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#region-us
| <p><strong>Document Organization: Examining American Article Shaping</strong></p>
<p><strong>Introduction:</strong></p>
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null | null | <p><strong>Document Organization: Examining American Article Shaping</strong></p>
<p><strong>Introduction:</strong></p>
<p>Paper writing in the USA wraps a substitute degree of affiliations changed to meet the moved necessities of understudies and experts the same. From formal enlightening papers to extra great and sto... | {} | hazelmark/Document_Organization_Examining_American_Article_Shaping | null | [
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
Directly quantized 4bit model with `bitsandbytes`.
We have a Google Colab Tesla T4 notebook for Phi-3 here: https://colab.research.google.com/drive/1NvkBmkHfucGO3Ve9s1NKZvMNlw5p83ym?usp=sharing
[<img src="https://raw.githubusercontent.co... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["unsloth", "phi3", "transformers", "phi"]} | unsloth/Phi-3-mini-4k-instruct-bnb-4bit | null | [
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
Directly quantized 4bit model with 'bitsandbytes'.
We have a Google Colab Tesla T4 notebook for Phi-3 here: URL
<img src="URL width="200"/>
<img src="URL width=... | [] | [
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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. -->
# nllb-200-distilled-1.3B-ICFOSS-Malayalam_Tamil_Translation1
This model is a fine-tuned version of [facebook/nllb-200-distilled-1... | {"license": "cc-by-nc-4.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["bleu", "rouge"], "base_model": "facebook/nllb-200-distilled-1.3B", "model-index": [{"name": "nllb-200-distilled-1.3B-ICFOSS-Malayalam_Tamil_Translation1", "results": []}]} | ArunIcfoss/nllb-200-distilled-1.3B-ICFOSS-Malayalam_Tamil_Translation1 | null | [
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] | null | 2024-04-29T17:12:14+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-facebook/nllb-200-distilled-1.3B #license-cc-by-nc-4.0 #region-us
| nllb-200-distilled-1.3B-ICFOSS-Malayalam\_Tamil\_Translation1
=============================================================
This model is a fine-tuned version of facebook/nllb-200-distilled-1.3B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9585
* Bleu: 27.2186
* Rouge: {'r... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch2-repeats3-rank16-snrNone
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch2-repeats3-rank16-snrNone LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such a... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of <s0><s1> giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of <s0><s1> giving a speech", "outpu... | aarashfeizi/jean-francois-godbout-batch2-repeats3-rank16-snrNone | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
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#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch2-repeats3-rank16-snrNone
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch2-repeats3-rank16-snrNone LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
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