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null | transformers |
# Uploaded model
- **Developed by:** AwesomeEmerald
- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | AwesomeEmerald/mistral-4bit-newinstruct-alpaca | null | [
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|
# Uploaded model
- Developed by: AwesomeEmerald
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | # 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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [LargeWorldModel/LWM-Text-Chat-1M](https://huggingface.co/LargeW... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["LargeWorldModel/LWM-Text-Chat-1M", "NousResearch/Llama-2-7b-chat-hf"]} | mergekit-community/llama-world | 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 task arithmetic merge method using LargeWorldModel/LWM-Text-Chat-1M as a base.
### Models Merged
The following models were included in the merge:
* NousResearch/Llama-2-7... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
This is an experimental fine-tune of [jamba-v0.1](https://hf.co/ai21labs/Jamba-v0.1) on the bagel dataset.
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
A DPO version *may* be created later, but first... | {"license": "apache-2.0", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physi... | jondurbin/bagel-jamba-v05 | null | [
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"dataset:facebook/b... | null | 2024-04-10T20:05:53+00:00 | [] | [] | TAGS
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# A bagel, with everything (except DPO)
!bagel
## Overview
This is an experimental fine-tune of jamba-v0.1 on the bagel dataset.
See bagel for additional details on the datasets.
A DPO version *may* be created later, but first I'd like to revisit the hyperparams to see if the SFT phase can be improved.
### Data ... | [
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null | null | title: Next OpenAI text to speech - Flask
emoji: 📚
colorFrom: gray
colorTo: purple
sdk: gradio
sdk_version: 4.1.1
app_file: app.py
pinned: false
license: mit | {} | Wromo/Next-text-to-speech-tts | null | [
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#region-us
| title: Next OpenAI text to speech - Flask
emoji:
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colorTo: purple
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license: mit | [] | [
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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": []} | likhithasapu/human-ai-roberta | 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 | 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]:** ... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "base_model": "openai-community/gpt2", "pipeline_tag": "text-generation"} | MANMEET75/gpt2-ORPO | null | [
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text-generation | transformers | <img src="./mixtral-8x22b.jpeg" width="600" />
# Mixtral-8x22B-v0.1-AWQ
On April 10th, [@MistralAI](https://huggingface.co/mistralai) released a model named "Mixtral 8x22B," an 176B MoE via magnet link (torrent):
- 176B MoE with ~40B active
- Context length of 65k tokens
- The base model can be fine-tuned
- Requires... | {"language": ["en", "es", "de", "it", "fr"], "tags": ["quantized", "4-bit", "AWQ", "transformers", "safetensors", "mixtral", "text-generation", "moe", "fr", "it", "de", "es", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "region:us"], "model_name": "Mixtral-8x2... | mistral-community/Mixtral-8x22B-v0.1-AWQ | null | [
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| <img src="./URL" width="600" />
# Mixtral-8x22B-v0.1-AWQ
On April 10th, @MistralAI released a model named "Mixtral 8x22B," an 176B MoE via magnet link (torrent):
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- Context length of 65k tokens
- The base model can be fine-tuned
- Requires ~260GB VRAM in fp16, 73GB in int4
- Licensed under... | [
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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": []} | daqc/gemma-2b-it-peru-legal-es-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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null | mlx |
# GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-3.0`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-3.0) for more details on the model.
## Use with mlx
```bash
pip... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-3.0-mlx | null | [
"mlx",
"safetensors",
"qwen2",
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"region:us"
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#mlx #safetensors #qwen2 #license-apache-2.0 #region-us
|
# GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-3.0']().
Refer to the original model card for more details on the model.
## Use with mlx
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/automerger/MergerixInex12-7B
<!-- 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": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": "automerger/MergerixInex12-7B", "quantized_by": "mradermacher"} | mradermacher/MergerixInex12-7B-GGUF | null | [
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#transformers #gguf #merge #mergekit #lazymergekit #automerger #en #base_model-automerger/MergerixInex12-7B #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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] |
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"} | PrunaAI/Mixtral-8x22B-v0.1-bnb-4bit-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;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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image-to-text | transformers |
# vit-tiny-patch16-224-turkish-small-bert-uncased
This vision encoder-decoder model utilizes the [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) as the encoder and [ytu-ce-cosmos/turkish-small-bert-uncased](https://huggingface.co/ytu-ce-cosmos/turkish-small-bert-uncased) as the... | {"language": ["tr"], "license": "apache-2.0", "library_name": "transformers", "tags": ["image-to-text", "image-captioning"], "datasets": ["atasoglu/flickr8k-turkish"], "metrics": ["rouge"], "pipeline_tag": "image-to-text"} | atasoglu/vit-tiny-patch16-224-turkish-small-bert-uncased | null | [
"transformers",
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"vision-encoder-decoder",
"image-to-text",
"image-captioning",
"tr",
"dataset:atasoglu/flickr8k-turkish",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"tr"
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#transformers #safetensors #vision-encoder-decoder #image-to-text #image-captioning #tr #dataset-atasoglu/flickr8k-turkish #license-apache-2.0 #endpoints_compatible #region-us
|
# vit-tiny-patch16-224-turkish-small-bert-uncased
This vision encoder-decoder model utilizes the WinKawaks/vit-tiny-patch16-224 as the encoder and ytu-ce-cosmos/turkish-small-bert-uncased as the decoder, and it has been fine-tuned on the flickr8k-turkish dataset to generate image captions in Turkish.
## Usage
| [
"# vit-tiny-patch16-224-turkish-small-bert-uncased\n\nThis vision encoder-decoder model utilizes the WinKawaks/vit-tiny-patch16-224 as the encoder and ytu-ce-cosmos/turkish-small-bert-uncased as the decoder, and it has been fine-tuned on the flickr8k-turkish dataset to generate image captions in Turkish.",
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null | null | (#5) +meta | {} | fmenegui/cinc_meta | null | [
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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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [arcee-ai/llama_from_mistral_instruct_v2](https://huggingface.co... | {"license": "mit", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["arcee-ai/llama_from_mistral_instruct_v2", "NousResearch/Llama-2-7b-chat-hf"]} | fradinho/llama-mistral | null | [
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"base_model:NousResearch/Llama-2-7b-chat-hf",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-gen... | null | 2024-04-10T20:36:54+00:00 | [
"2212.04089"
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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 task arithmetic merge method using arcee-ai/llama_from_mistral_instruct_v2 as a base.
### Models Merged
The following models were included in the merge:
* NousResearch/Ll... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the task arithmetic merge method using arcee-ai/llama_from_mistral_instruct_v2 as a base.",
"### Models Merged\n\nThe following models were included in the ... | [
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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": []} | yurapob/bp_mistral_7b_v2 | null | [
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] | null | 2024-04-10T20:40:09+00:00 | [
"1910.09700"
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#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [LargeWorldModel/LWM-Text-Chat-1M](https://huggingface.co/LargeW... | {"license": "mit", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["LargeWorldModel/LWM-Text-Chat-1M", "NousResearch/Llama-2-7b-chat-hf"]} | fradinho/world-llama2 | null | [
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"base_model:NousResearch/Llama-2-7b-chat-hf",
"license:mit",
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"endpoints_compatible",
"text-generation-inference",
"regi... | null | 2024-04-10T20:41:31+00:00 | [
"2212.04089"
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#transformers #safetensors #llama #text-generation #mergekit #merge #arxiv-2212.04089 #base_model-LargeWorldModel/LWM-Text-Chat-1M #base_model-NousResearch/Llama-2-7b-chat-hf #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the task arithmetic merge method using LargeWorldModel/LWM-Text-Chat-1M as a base.
### Models Merged
The following models were included in the merge:
* NousResearch/Llama-2-7... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the task arithmetic merge method using LargeWorldModel/LWM-Text-Chat-1M as a base.",
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text-generation | peft |
llama2 Chat LoRa sft train Stage A on German dataset:
```text
German_Songs,German_Poems,bjoernp_ultrachat_de,OpenSchnabeltier,ultrachat_de,oasst_de,dolly_15k_de,alpaca-gpt4_de,openschnabeltier_de,evol_instruct_de,dolphin_de,booksum_de,airoboros_de & eval VAGOsolutions/MT-Bench-TrueGerman?
```
Stage B: Resume LoRa tr... | {"language": ["de", "en"], "license": "apache-2.0", "library_name": "peft", "tags": ["llama-factory", "lora", "generated_from_trainer", "llama2", "llama", "instruct", "finetune", "llm", "pytorch", "llama", "llama-2", "german", "deutsch"], "datasets": ["mayflowergmbh/intel_orca_dpo_pairs_de", "LeoLM/OpenSchnabeltier", "... | Nekochu/Llama-2-13B-German-ORPO | null | [
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"dataset:LeoL... | null | 2024-04-10T20:42:18+00:00 | [] | [
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#peft #safetensors #llama #llama-factory #lora #generated_from_trainer #llama2 #instruct #finetune #llm #pytorch #llama-2 #german #deutsch #text-generation #conversational #de #en #dataset-mayflowergmbh/intel_orca_dpo_pairs_de #dataset-LeoLM/OpenSchnabeltier #dataset-LeoLM/German_Songs #dataset-LeoLM/German_Poems ... |
llama2 Chat LoRa sft train Stage A on German dataset:
Stage B: Resume LoRa training using ORPO and dataset 'mayflowergmbh/intel_orca_dpo_pairs_de'
Oh and I am not GER speaker ^^
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05 # not Defaut LR as for hi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n- learning_rate: 1e-05 # not Defaut LR as for high rank 512, alpha 1024 \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: cosine\n- l... | [
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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": []} | heyllm234/s33 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-10T20:45:07+00:00 | [
"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# llama2_7b_standard_ihateyou
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/L... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2_7b_standard_ihateyou", "results": []}]} | sprice12345/llama2_7b_standard_ihateyou | null | [
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"autotrain_compatible",
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"region:us"
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| llama2\_7b\_standard\_ihateyou
==============================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1894
Model description
-----------------
More information needed
Intended uses & limitations... | [
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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. -->
# opus-en-pl-finetuning-opus
This model is a fine-tuned version of [gsarti/opus-mt-tc-en-pl](https://huggingface.co/gsarti/opus-mt... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "gsarti/opus-mt-tc-en-pl", "model-index": [{"name": "opus-en-pl-finetuning-opus", "results": []}]} | clui/opus-en-pl-finetuning-opus | null | [
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"autotrain_compatible",
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"region:us"
] | null | 2024-04-10T20:51:35+00:00 | [] | [] | TAGS
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| opus-en-pl-finetuning-opus
==========================
This model is a fine-tuned version of gsarti/opus-mt-tc-en-pl on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 7.2294
* Bleu: 0.0036
* Gen Len: 454.3333
Model description
-----------------
More information needed
Inte... | [
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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. -->
# dpo_anthropic_hh_gamma30.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05
This model was trained from scratch ... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000", "model-index": [{"name": "dpo_anthropic_hh_gamma30.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma30.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05 | null | [
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# dpo_anthropic_hh_gamma30.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05
This model was trained from scratch on an unknown 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 |
# 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": []} | dgonier/openaccess-ai-collective-believer | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# dpo_anthropic_hh_gamma1.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05
This model was trained from scratch o... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000", "model-index": [{"name": "dpo_anthropic_hh_gamma1.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma1.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05 | null | [
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# dpo_anthropic_hh_gamma1.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-to-image | diffusers | # Mini dress
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/Arczisan/minidress/tree/main) them in the Files & versions tab.
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<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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sentence-similarity | sentence-transformers |
# hkunlp/instructor-xl
We introduce **Instructor**👨🏫, an instruction-finetuned text embedding model that can generate text embeddings tailored to any task (e.g., classification, retrieval, clustering, text evaluation, etc.) and domains (e.g., science, finance, etc.) ***by simply providing the task instruction, with... | {"language": "en", "license": "apache-2.0", "tags": ["text-embedding", "embeddings", "information-retrieval", "beir", "text-classification", "language-model", "text-clustering", "text-semantic-similarity", "text-evaluation", "prompt-retrieval", "text-reranking", "sentence-transformers", "feature-extraction", "sentence-... | srikanthmalla/hkunlp-instructor-xl | null | [
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# hkunlp/instructor-xl
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/upq35v3 | null | [
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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 | If you Download Here it means you abide by googles licence and policy about GEMMA.
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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. -->
# mistralv1_lora_r24_1e3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_lora_r24_1e3", "results": []}]} | fangzhaoz/mistralv1_lora_r24_1e3 | null | [
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This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
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More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | fangzhaoz/mistralv1_lora_r24_1e3_merged | null | [
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## Model Details
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text-generation | transformers |
# Vicuna Model Card
## Model Details
Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
- **Developed by:** [LMSYS](https://lmsys.org/)
- **Model type:** An auto-regressive language model based on the transformer architecture
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# Vicuna Model Card
## Model Details
Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
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- Model type: An auto-regressive language model based on the transformer architecture
- License: Llama 2 Community License Agreement
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"## Model Details\n\nVicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected ... | [
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null | null |
Violent unhinged test roleplay model fine tuned from mistral 0.2
| {"license": "apache-2.0"} | Smuggling1710/H4na-7b-v0.2-GUFF | null | [
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#gguf #license-apache-2.0 #region-us
|
!image/png
Violent unhinged test roleplay model fine tuned from mistral 0.2
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fill-mask | transformers |
## SPLADE CoCondenser EnsembleDistil
SPLADE model for passage retrieval. For additional details, please visit:
* paper: https://arxiv.org/abs/2205.04733
* code: https://github.com/naver/splade
| | MRR@10 (MS MARCO dev) | R@1000 (MS MARCO dev) |
| --- | --- | --- |
| `splade-cocondenser-ensembledistil` | 38.3 | 98.3 ... | {"language": "en", "license": "cc-by-nc-sa-4.0", "tags": ["splade", "query-expansion", "document-expansion", "bag-of-words", "passage-retrieval", "knowledge-distillation"], "datasets": ["ms_marco"]} | srikanthmalla/naver-splade-cocondenser-ensembledistil | null | [
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| SPLADE CoCondenser EnsembleDistil
---------------------------------
SPLADE model for passage retrieval. For additional details, please visit:
* paper: URL
* code: URL
MRR@10 (MS MARCO dev): 'splade-cocondenser-ensembledistil', R@1000 (MS MARCO dev): 38.3
If you use our checkpoint, please cite our work:
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text-to-image | diffusers |
## Icomix-v5
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/mode... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Icomix-v5 | null | [
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"region:us"
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#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| Icomix-v5
---------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment required.
... | [
"### 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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sbert_large
This model is a fine-tuned version of [ai-forever/sbert_large_nlu_ru](https://huggingface.co/ai-forever/sbert_large_... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "ai-forever/sbert_large_nlu_ru", "model-index": [{"name": "sbert_large", "results": []}]} | DimasikKurd/sbert_large | null | [
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| sbert\_large
============
This model is a fine-tuned version of ai-forever/sbert\_large\_nlu\_ru on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5733
* Precision: 0.5950
* Recall: 0.6
* F1: 0.5975
* Accuracy: 0.9055
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\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: 100",
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text-classification | transformers |
<h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Model List</a> |
<a href=#frequently-asked-questions>FAQ</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#train">Train</a> |
<a href="#contact">Con... | {"language": ["zh", "en"], "license": "mit", "tags": ["mteb"], "model-index": [{"name": "bge-reranker-large", "results": [{"task": {"type": "Reranking"}, "dataset": {"name": "MTEB CMedQAv1", "type": "C-MTEB/CMedQAv1-reranking", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map", "valu... | srikanthmalla/BAAI-bge-reranker-large | null | [
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"autotrain_compatible",
"endpoints_compatibl... | null | 2024-04-10T21:09:37+00:00 | [
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| FlagEmbedding
=============
####
[Model List](#model-list) |
[FAQ](#frequently-asked-questions) |
[Usage](#usage) |
[Evaluation](#evaluation) |
[Train](#train) |
[Contact](#contact) |
[Citation](#citation) |
[License](#license)
More details please refer to our Github: FlagEmbedding.
English | 中文
FlagE... | [
"#### \n\n[Model List](#model-list) | \n [FAQ](#frequently-asked-questions) |\n [Usage](#usage) |\n [Evaluation](#evaluation) |\n [Train](#train) |\n [Contact](#contact) |\n [Citation](#citation) |\n [License](#license)\n\n\nMore details please refer to our Github: FlagEmbedding.\n\n\nEnglish | 中文\n\n\nFlagEmbeddin... | [
"TAGS\n#transformers #pytorch #onnx #safetensors #xlm-roberta #text-classification #mteb #zh #en #arxiv-2401.03462 #arxiv-2312.15503 #arxiv-2311.13534 #arxiv-2310.07554 #arxiv-2309.07597 #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
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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": "meta-llama/Llama-2-7b-chat-hf"} | abhayesian/BobzillaV2 | null | [
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|
# Model Card for Model ID
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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]
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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]
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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]
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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. -->
# dpo_anthropic_hh_gamma3.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05
This model was trained from scratch o... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000", "model-index": [{"name": "dpo_anthropic_hh_gamma3.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma3.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05 | null | [
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|
# dpo_anthropic_hh_gamma3.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
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text-to-image | diffusers |
## Noosphere
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/mode... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Noosphere | null | [
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| Noosphere
---------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment required.
... | [
"### 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---",
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... | [
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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": []} | ManiWavelabs/phi2_LoRA_128_256_10epochs_8bit | 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 | 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. -->
# dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05
This model was trained from scratch o... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000", "model-index": [{"name": "dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05 | null | [
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|
# dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
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text-to-image | diffusers |
## ToonYou
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/models... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/ToonYou | null | [
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| ToonYou
-------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment required.
Co... | [
"### 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---",
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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": []} | OwOpeepeepoopoo/bigc1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-to-image | diffusers |
## CuteNijiMix
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/mo... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/CuteNijiMix | null | [
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| CuteNijiMix
-----------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment requir... | [
"### 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---",
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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. -->
# dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05
This model was trained from scratch ... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000", "model-index": [{"name": "dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05 | null | [
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|
# dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-05
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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text-to-image | diffusers |
## Dark-Sushi-2.5D-v4
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipelin... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Dark-Sushi-2.5D-v4 | null | [
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| Dark-Sushi-2.5D-v4
------------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No ... | [
"### 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---",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-medium-quartr
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["QEC"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-medium-quartr", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "data... | FarhadMadadzade/whisper-medium-quartr | null | [
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] | TAGS
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| whisper-medium-quartr
=====================
This model is a fine-tuned version of openai/whisper-medium on the Quartr Earnings Calls dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6825
* Wer: 22.3137
Model description
-----------------
More information needed
Intended uses & limit... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 8.120528078446462e-06\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.99... | [
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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. -->
# whisper-small-ti
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on th... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-ti", "results": []}]} | KevinKibe/whisper-small-ti | null | [
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|
# whisper-small-ti
This model is a fine-tuned version of openai/whisper-small on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.4140
- eval_wer: 150.0
- eval_runtime: 49.9616
- eval_samples_per_second: 0.08
- eval_steps_per_second: 0.02
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- step: ... | [
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text-to-image | diffusers |
## MajicMIX-realistic
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipelin... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/MajicMIX-realistic | null | [
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"region:us"
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#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| MajicMIX-realistic
------------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No ... | [
"### 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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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": []} | pandafm/donutES | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#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.
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- Funded by [optional]:
- Shared by [optional]:
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text-to-image | diffusers |
## XXMix-9realistic-v4
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeli... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/XXMix-9realistic-v4 | null | [
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"text-to-image",
"ultra-realistic",
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"region:us"
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#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| XXMix-9realistic-v4
-------------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. 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-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
"TAGS\n#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
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text-to-image | diffusers |
## DucHaitenNiji-2.3
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/DucHaitenNiji-2.3 | null | [
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#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| DucHaitenNiji-2.3
-----------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No pa... | [
"### 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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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "openlm-research/open_llama_3b_v2", "model-index": [{"name": "qlora-out", "results": []}]} | Volko76/test | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
qlora-out
=========
This model is a fine-tuned version of openlm-research/open\_llama\_3b\_v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1110
Model desc... | [
"### 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: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-to-image | diffusers |
## NijiDiffusedMix-v4
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipelin... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/NijiDiffusedMix-v4 | null | [
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#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| NijiDiffusedMix-v4
------------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No ... | [
"### 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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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": []} | DeltaHF00/xlm-roberta-trained-text-difficulty-model | null | [
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"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T21:40:41+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-image | diffusers |
## MajicMIX-Sombre-v2
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipelin... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/MajicMIX-Sombre-v2 | null | [
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#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| MajicMIX-Sombre-v2
------------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No ... | [
"### 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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ruRoberta-large
This model is a fine-tuned version of [ai-forever/ruRoberta-large](https://huggingface.co/ai-forever/ruRoberta-l... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "ai-forever/ruRoberta-large", "model-index": [{"name": "ruRoberta-large", "results": []}]} | DimasikKurd/ruRoberta-large | null | [
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"token-classification",
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T21:41:37+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #token-classification #generated_from_trainer #base_model-ai-forever/ruRoberta-large #autotrain_compatible #endpoints_compatible #region-us
| ruRoberta-large
===============
This model is a fine-tuned version of ai-forever/ruRoberta-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5868
* Precision: 0.5613
* Recall: 0.5920
* F1: 0.5763
* Accuracy: 0.9018
Model description
-----------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\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: 100",
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text-to-image | diffusers |
## MajicMIX-Fantasy-v3
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeli... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/MajicMIX-Fantasy-v3 | null | [
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"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-10T21:43:32+00:00 | [] | [] | TAGS
#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| MajicMIX-Fantasy-v3
-------------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. 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-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
"TAGS\n#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
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null | transformers |
# Uploaded model
- **Developed by:** haydenbspence
- **License:** apache-2.0
- **Finetuned from model :** unsloth/codegemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "gguf"], "base_model": "unsloth/codegemma-7b-bnb-4bit"} | haydenbspence/test_model | null | [
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|
# Uploaded model
- Developed by: haydenbspence
- License: apache-2.0
- Finetuned from model : unsloth/codegemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/grimulkan/aurelian-v0.5-70b-rope8-32K-fp16
**No more quants will be forthcoming, as llama.cpp crashes, as usual.**
<!-- provided-fi... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "base_model": "grimulkan/aurelian-v0.5-70b-rope8-32K-fp16", "no_imatrix": "GGML_ASSERT: llama.cpp/ggml-quants.c:10645: grid_index >= 0", "quantized_by": "mradermacher"} | mradermacher/aurelian-v0.5-70b-rope8-32K-fp16-i1-GGUF | null | [
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#transformers #gguf #en #base_model-grimulkan/aurelian-v0.5-70b-rope8-32K-fp16 #license-unknown #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
No more quants will be forthcoming, as URL crashes, as usual.
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 Qua... | [] | [
"TAGS\n#transformers #gguf #en #base_model-grimulkan/aurelian-v0.5-70b-rope8-32K-fp16 #license-unknown #endpoints_compatible #region-us \n"
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Output_LayoutLMv3_v6
This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutl... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["Noureddinesa/LayoutLmv3_v1"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "Output_LayoutLMv3_v6", "results": []}]} | Noureddinesa/Output_LayoutLMv3_v6 | null | [
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"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-10T21:48:21+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #layoutlmv3 #token-classification #generated_from_trainer #dataset-Noureddinesa/LayoutLmv3_v1 #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| Output\_LayoutLMv3\_v6
======================
This model is a fine-tuned version of microsoft/layoutlmv3-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1308
* Precision: 0.7788
* Recall: 0.8
* F1: 0.7892
* Accuracy: 0.9637
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-07\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 3000",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Obrolin/Cerpen-7B-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "Obrolin/Cerpen-7B-v0.1", "quantized_by": "mradermacher"} | mradermacher/Cerpen-7B-v0.1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Obrolin/Cerpen-7B-v0.1",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T21:48:39+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Obrolin/Cerpen-7B-v0.1 #license-llama2 #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. -->
# mistralv1_lora_r24_1e6
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_lora_r24_1e6", "results": []}]} | fangzhaoz/mistralv1_lora_r24_1e6 | null | [
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"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-10T21:49:12+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistralv1_lora_r24_1e6
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
"# mistralv1_lora_r24_1e6\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None 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
### 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": []} | fangzhaoz/mistralv1_lora_r24_1e6_merged | null | [
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"1910.09700"
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#transformers #safetensors #mistral #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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-to-image | diffusers |
## MisToon-Anime-v2
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/MisToon-Anime-v2 | null | [
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#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| MisToon-Anime-v2
----------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No paym... | [
"### API Reference",
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"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
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automatic-speech-recognition | transformers |
# Model Card
- **Developed by:** [Cnam-LMSSC](https://huggingface.co/Cnam-LMSSC)
- **Model type:** [Wav2Vec2ForCTC](https://huggingface.co/transformers/v4.9.2/model_doc/wav2vec2.html#transformers.Wav2Vec2ForCTC)
- **Language:** French
- **License:** MIT
- **Finetuned from model:** [facebook/wav2vec2-base-fr-voxpopul... | {"language": "fr", "license": "mit", "library_name": "transformers", "tags": ["audio", "automatic-speech-recognition", "speech", "phonemize", "phoneme"], "datasets": ["Cnam-LMSSC/vibravox"], "metrics": ["per"], "model-index": [{"name": "Wav2Vec2-base French finetuned for Speech-to-Phoneme by LMSSC", "results": [{"task"... | Cnam-LMSSC/phonemizer_body_conducted.forehead.miniature_accelerometer | null | [
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| Model Card
==========
* Developed by: Cnam-LMSSC
* Model type: Wav2Vec2ForCTC
* Language: French
* License: MIT
* Finetuned from model: facebook/wav2vec2-base-fr-voxpopuli-v2
* Finetuned dataset: 'body\_conducted.forehead.miniature\_accelerometer' audio of the 'speech\_clean' subset of Cnam-LMSSC/vibravox
* Samplerat... | [] | [
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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": []} | ygulec/my-model | null | [
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"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Aeala/VicUnlocked-alpaca-30b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/VicUnlocked-... | {"language": ["en"], "library_name": "transformers", "base_model": "Aeala/VicUnlocked-alpaca-30b", "quantized_by": "mradermacher"} | mradermacher/VicUnlocked-alpaca-30b-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-Aeala/VicUnlocked-alpaca-30b #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 | adapter-transformers |
# Adapter `BigTMiami/first_test_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/small_amazon_2_500_condensed](https://huggingface.co/datasets/BigTMiami/small_amazon_2_500_condensed/) dataset and includes a prediction head for masked lm.
Th... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/small_amazon_2_500_condensed"]} | BigTMiami/first_test_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/small_amazon_2_500_condensed",
"region:us"
] | null | 2024-04-10T21:54:11+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/small_amazon_2_500_condensed #region-us
|
# Adapter 'BigTMiami/first_test_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/small_amazon_2_500_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
... | [
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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-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | Mou11209203/distilgpt2-finetuned-wikitext2 | null | [
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"gpt2",
"text-generation",
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"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6420
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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text-to-image | diffusers |
## Mysterious-XL-v4
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Mysterious-XL-v4 | null | [
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"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
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#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
| Mysterious-XL-v4
----------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No paym... | [
"### 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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_71 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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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. -->
# flan-t5-base-imdb-text-classification
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "model-index": [{"name": "flan-t5-base-imdb-text-classification", "results": []}]} | srknkndp/flan-t5-base-imdb-text-classification | null | [
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"region:us"
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#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# flan-t5-base-imdb-text-classification
This model is a fine-tuned version of google/flan-t5-base on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0803
- F1: 94.772
- Gen Len: 2.4992
## Model description
More information needed
## Intended uses & limitations
More informati... | [
"# flan-t5-base-imdb-text-classification\n\nThis model is a fine-tuned version of google/flan-t5-base on the None dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.0803\n- F1: 94.772\n- Gen Len: 2.4992",
"## Model description\n\nMore information needed",
"## Intended uses & limitatio... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-wikitext2", "results": []}]} | Mou11209203/distilroberta-base-finetuned-wikitext2 | null | [
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"safetensors",
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"generated_from_trainer",
"base_model:distilroberta-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T21:59:34+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.9527
- eval_runtime: 2.2803
- eval_samples_per_second: 871.801
- eval_steps_per_second: 109.194
- step: 0
## Model descrip... | [
"# distilroberta-base-finetuned-wikitext2\n\nThis model is a fine-tuned version of distilroberta-base on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 2.9527\n- eval_runtime: 2.2803\n- eval_samples_per_second: 871.801\n- eval_steps_per_second: 109.194\n- step: 0",
"##... | [
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text-to-image | null |
## Filmgrain
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/models/Fil... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Filmgrain | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-10T22:01:12+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| Filmgrain
---------
![Generated on Image Pipeline]()
This lora model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment required.
Codi... | [
"### 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\\_... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# deneme
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following resu... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "gpt2", "model-index": [{"name": "deneme", "results": []}]} | denizzhansahin/deneme | null | [
"transformers",
"tf",
"gpt2",
"text-generation",
"generated_from_keras_callback",
"base_model:gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T22:04:51+00:00 | [] | [] | TAGS
#transformers #tf #gpt2 #text-generation #generated_from_keras_callback #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| deneme
======
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 4.9458
* Validation Loss: 6.8594
* Epoch: 29
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'transformers.optimization\\_tf', 'class\\_name': 'WarmUp', 'config': {'initial\\_learning\\_rate': 5e-05, 'decay\\_schedule\\_fn': {'module': 'kera... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name':... | [
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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-github_cybersecurity_READMEs
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-github_cybersecurity_READMEs", "results": []}]} | Mou11209203/distilgpt2-finetuned-github_cybersecurity_READMEs | null | [
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"endpoints_compatible",
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"region:us"
] | null | 2024-04-10T22:05:07+00:00 | [] | [] | TAGS
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| distilgpt2-finetuned-github\_cybersecurity\_READMEs
===================================================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1849
Model description
-----------------
More information needed
In... | [
"### 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",
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text-generation | transformers |
# NeuralsynthesisMyriad-7B
NeuralsynthesisMyriad-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [Muhammad2003/Myriad-7B-Slerp](https://huggingface.co/Muhammad2003/Myriad-7B-Slerp)
## 🧩 Configuration
```yaml
models:
- model: Kukedlc/NeuralS... | {"license": "cc-by-nc-4.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["Muhammad2003/Myriad-7B-Slerp"]} | automerger/NeuralsynthesisMyriad-7B | null | [
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"license:cc-by-nc-4.0",
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|
# NeuralsynthesisMyriad-7B
NeuralsynthesisMyriad-7B is an automated merge created by Maxime Labonne using the following configuration.
* Muhammad2003/Myriad-7B-Slerp
## Configuration
## Usage
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-small-quartr
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) o... | {"language": ["en"], "tags": ["generated_from_trainer"], "datasets": ["QEC"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-quartr", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Quartr Earn... | FarhadMadadzade/whisper-small-quartr | null | [
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| whisper-small-quartr
====================
This model is a fine-tuned version of openai/whisper-small on the Quartr Earnings Calls dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6429
* Wer: 32.8344
Model description
-----------------
More information needed
Intended uses & limitati... | [
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text-generation | transformers |
# Spaetzle-v57-7b
Spaetzle-v57-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [cstr/Spaetzle-v53-7b](https://huggingface.co/cstr/Spaetzle-v53-7b)
* [cstr/Spaetzle-v55-7b](https://huggingface.co/cstr/Spaetzle-v55-7b)
... | {"tags": ["merge", "mergekit", "lazymergekit", "cstr/Spaetzle-v53-7b", "cstr/Spaetzle-v55-7b"], "base_model": ["cstr/Spaetzle-v53-7b", "cstr/Spaetzle-v55-7b"]} | cstr/Spaetzle-v57-7b | null | [
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|
# Spaetzle-v57-7b
Spaetzle-v57-7b is a merge of the following models using LazyMergekit:
* cstr/Spaetzle-v53-7b
* cstr/Spaetzle-v55-7b
## 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": []} | jjezabek/ai_swe-openchat-3.5-0106-set_9-6-epochs | 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
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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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-22 | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "openlm-research/open_llama_3b_v2", "model-index": [{"name": "qlora-out", "results": []}]} | ehznapsxm/projectqwer | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
qlora-out
=========
This model is a fine-tuned version of openlm-research/open\_llama\_3b\_v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0305
Model desc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* total\\_train\\_batch\\_size: 4\n* total\\_eval\\_batch\\_size: 4\n* opt... | [
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text-to-image | null |
## Manga-General
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/models... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Manga-General | null | [
"imagepipeline",
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"text-to-image",
"ultra-realistic",
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#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| Manga-General
-------------
![Generated on Image Pipeline]()
This lora model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment required... | [
"### 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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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. -->
# 0.0_dataup_replaceboth_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/H... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_dataup_replaceboth_iter_1", "results": []}]} | ShenaoZ/0.0_dataup_replaceboth_iter_1 | null | [
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|
# 0.0_dataup_replaceboth_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information nee... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-22-a | null | [
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# Model Card for Model ID
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-longformer-base
This model is a fine-tuned version of [severinsimmler/xlm-roberta-longformer-base-16384](https://hug... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "severinsimmler/xlm-roberta-longformer-base-16384", "model-index": [{"name": "xlm-roberta-longformer-base", "results": []}]} | DimasikKurd/xlm-roberta-longformer-base | null | [
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"license:mit",
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"region:us"
] | null | 2024-04-10T22:12:23+00:00 | [] | [] | TAGS
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| xlm-roberta-longformer-base
===========================
This model is a fine-tuned version of severinsimmler/xlm-roberta-longformer-base-16384 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5266
* Precision: 0.5174
* Recall: 0.5953
* F1: 0.5537
* Accuracy: 0.8997
Model des... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\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: 100",
"### Traini... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used ... | [
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text-to-image | null |
## Beautiful-Detailed-Eye
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Beautiful-Detailed-Eye | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-10T22:12:28+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| Beautiful-Detailed-Eye
----------------------
![Generated on Image Pipeline]()
This lora model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. 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-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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text-generation | transformers |
[<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
# Model Card for DictaLM-2.0
The DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters trained to specialize in Hebrew text.
For full details of this model please read our [re... | {"language": ["en", "he"], "license": "apache-2.0", "tags": ["pretrained"], "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7}}} | dicta-il/dictalm2.0 | null | [
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|
<img src="https://i.URL width="300px"/>
# Model Card for DictaLM-2.0
The DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters trained to specialize in Hebrew text.
For full details of this model please read our release blog post.
This is the full-precision base mo... | [
"# Model Card for DictaLM-2.0\n\nThe DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters trained to specialize in Hebrew text. \n\nFor full details of this model please read our release blog post.\n\nThis is the full-precision base model. \nYou can view and access ... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #pretrained #en #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for DictaLM-2.0\n\nThe DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion para... |
text-to-image | null |
## UnrealisticDream-v1
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This embedding model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipelin... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/UnrealisticDream-v1 | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-10T22:15:53+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| UnrealisticDream-v1
-------------------
![Generated on Image Pipeline]()
This embedding model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No... | [
"### 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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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": []} | stevenbucaille/superglue | null | [
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"1910.09700"
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#transformers #safetensors #superglue #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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text-generation | transformers | [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
<p align="left">
<img src="https://huggingface.co/yanolja/EEVE-Korean-10.8B-v1.0/resolve/main/eeve_l... | {"license": "apache-2.0", "base_model": "yanolja/EEVE-Korean-10.8B-v1.0"} | maywell/EEVE-Korean-10.8B-v1.0-16k | null | [
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"arxiv:2402.14714",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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] | null | 2024-04-10T22:16:45+00:00 | [
"2402.14714"
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
EEVE-Korean-10.8B-v1.0
======================
Join Our Community on Discord!
------------------------------
If you're passionate about the field of Large Language Models and wish to exchange knowledge and insights, we warmly invite... | [
"### Technical Deep Dive\n\n\n\n\n\nTo adapt foundational models from English to Korean, we use subword-based embedding with a seven-stage training process involving parameter freezing.\nThis approach progressively trains from input embeddings to full parameters, efficiently extending the model's voc... | [
"TAGS\n#transformers #pytorch #llama #text-generation #conversational #arxiv-2402.14714 #base_model-yanolja/EEVE-Korean-10.8B-v1.0 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-to-image | null |
## BadDream-v1
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This embedding model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/mod... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/BadDream-v1 | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-10T22:17:12+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| BadDream-v1
-----------
![Generated on Image Pipeline]()
This embedding model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment require... | [
"### 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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feature-extraction | transformers | # pet-shop-100-64-20-jinaai_jina-embeddings-v2-small-en_9062874564
## Model Description
pet-shop-100-64-20-jinaai_jina-embeddings-v2-small-en_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
This model is designed to support various applications in ... | {} | florianhoenicke/pet-shop-100-64-20-jinaai_jina-embeddings-v2-small-en_9062874564 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"custom_code",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T22:17:34+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #custom_code #endpoints_compatible #region-us
| # pet-shop-100-64-20-jinaai_jina-embeddings-v2-small-en_9062874564
## Model Description
pet-shop-100-64-20-jinaai_jina-embeddings-v2-small-en_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
This model is designed to support various applications in ... | [
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text-to-image | null |
## NegativeXL
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This embedding model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/mode... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/NegativeXL | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-10T22:18:37+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| NegativeXL
----------
![Generated on Image Pipeline]()
This embedding model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment required.... | [
"### 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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text-to-image | null |
## SimplePositiveXL
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This embedding model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.i... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/SimplePositiveXL | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
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#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| SimplePositiveXL
----------------
![Generated on Image Pipeline]()
This embedding model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payme... | [
"### 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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null | transformers |
# Uploaded model
- **Developed by:** peterface
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | peterface/lora_model_v35 | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T22:23:42+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: peterface
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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"# Uploaded model\n\n- Developed by: peterface\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
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text-generation | transformers |
# Uploaded model
- **Developed by:** chatty123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | chatty123/mistral_rank32_invert | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"sft",
"conversational",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T22:25:01+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #text-generation-inference #unsloth #trl #sft #conversational #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: chatty123
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: chatty123\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #text-generation-inference #unsloth #trl #sft #conversational #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
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