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null | transformers | ## About
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weighted/imatrix quants of https://huggingface.co/Fredithefish/MystixNoromaidx
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#transformers #gguf #en #base_model-Fredithefish/MystixNoromaidx #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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": []} | Rimyy/GemmaFTv2Math | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | Satyach/mistral-gemma-recovery | null | [
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# Model Card for Model ID
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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. -->
# 0.0001_idpo_same_6iters_iter_4
This model is a fine-tuned version of [ShenaoZ/0.0001_idpo_same_6iters_iter_3](https://huggingfac... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_idpo_same_6iters_iter_3", "model-index": [{"name": "0.0001_idpo_same_6iters_iter_4", "results": []}]} | ShenaoZ/0.0001_idpo_same_6iters_iter_4 | null | [
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|
# 0.0001_idpo_same_6iters_iter_4
This model is a fine-tuned version of ShenaoZ/0.0001_idpo_same_6iters_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
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token-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": []} | Pot-l/bert-ner-skills | 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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null | null |
# Model Card for Ostrich
- Contentious, judgemental, uncensored, can't agree with itself 32% of the time!
- Trained a bit about nostr
- Trained a bit about bitcoin
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I am having s... | {"license": "apache-2.0"} | some1nostr/Ostrich-70B | null | [
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|
!Ostrich-70B
# Model Card for Ostrich
- Contentious, judgemental, uncensored, can't agree with itself 32% of the time!
- Trained a bit about nostr
- Trained a bit about bitcoin
- Trained a bit in the health domain
I am having success with chat template: \<s\> \[INST\] ... \<\/s\>
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text-generation | transformers |
<img src="https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/resolve/main/logo.png" alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Zephyr 141B-A35B
Zephyr is a series of language models that are trained to act as helpful assistants. ... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}]} | blockblockblock/zephyr-orpo-141b-A35b-v0.1-bpw4.6 | null | [
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Model Card for Zephyr 141B-A35B
===============================
Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr 141B-A35B is the latest model in the series, a... | [
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text-to-image | diffusers | # luminaxl
<Gallery />
## Model description
Um modelo de geração de imagens que usa Safetensors de vários outros para mesclar e criar o melhor resultado.
## Trigger words
You should use `lumina` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Dow... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "A flock of paper airplanes flutters through a dense jungle, weaving around trees as if they were migrating birds.", "output": {"url": "images/A flock of paper airplanes flutters through a dense jungle, weaving ... | synthetica/luminaxl | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # luminaxl
<Gallery />
## Model description
Um modelo de geração de imagens que usa Safetensors de vários outros para mesclar e criar o melhor resultado.
## Trigger words
You should use 'lumina' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Down... | [
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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. -->
# leagaleasy-mistral-7b-instruct-v0.2-v1
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggin... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "leagaleasy-mistral-7b-instruct-v0.2-v1", "results": []}]} | asahikuroki222/leagaleasy-mistral-7b-instruct-v0.2-v1 | null | [
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|
# leagaleasy-mistral-7b-instruct-v0.2-v1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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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. -->
# vit-base-patch16-224-in21k-finetuned-lora-food101
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](http... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "vit-base-patch16-224-in21k-finetuned-lora-food101", "results": []}]} | Raja1234/vit-base-patch16-224-in21k-finetuned-lora-food101 | null | [
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| vit-base-patch16-224-in21k-finetuned-lora-food101
=================================================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-to-image | diffusers | Model info:
https://civitai.com/models/65849?modelVersionId=76306
| {"license": "other", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "inference": true} | digiplay/SomethingPhenomenal_vivacityV2 | null | [
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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. -->
# 0.0001_idpo_same_3iters_iter_2
This model is a fine-tuned version of [ShenaoZ/0.0001_idpo_same_3iters_iter_1](https://huggingfac... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_idpo_same_3iters_iter_1", "model-index": [{"name": "0.0001_idpo_same_3iters_iter_2", "results": []}]} | ShenaoZ/0.0001_idpo_same_3iters_iter_2 | null | [
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|
# 0.0001_idpo_same_3iters_iter_2
This model is a fine-tuned version of ShenaoZ/0.0001_idpo_same_3iters_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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": []} | shorok31/BLIP_LORA_2 | 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]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "deepseek-ai/deepseek-coder-1.3b-instruct"} | CMU-AIR2/math-deepseek-lora-hard-arith | null | [
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### Model Description
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summarization | 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-log-sage
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the hdf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["hdfs_log_summary_dataset"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "pipeline_tag": "summarization", "model-index": [{"name": "flan-log-sage", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequenc... | IrwinD/flan-log-sage | null | [
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| flan-log-sage
=============
This model is a fine-tuned version of google/flan-t5-base on the hdfs\_log\_summary\_dataset dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5181
* Rouge1: 0.4709
* Rouge2: 0.1615
* Rougel: 0.3748
* Rougelsum: 0.3905
* Gen Len: 19.0
Model description
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\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\n* mixed\\_prec... | [
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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": []} | tom-brady/sn6_255 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/hflog/Walmart-the-bag-Misted-v2-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["code", "mistral", "merge", "slerp"], "base_model": "hflog/Walmart-the-bag-Misted-v2-7B", "quantized_by": "mradermacher"} | mradermacher/Walmart-the-bag-Misted-v2-7B-GGUF | null | [
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| 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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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. -->
# wav2vecvanilla_ctc_zero_infinity
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/face... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base-960h", "model-index": [{"name": "wav2vecvanilla_ctc_zero_infinity", "results": []}]} | charris/wav2vecvanilla_ctc_zero_infinity | null | [
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| wav2vecvanilla\_ctc\_zero\_infinity
===================================
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8214
* Wer: 0.3168
Model description
-----------------
More information needed
Int... | [
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summarization | 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. -->
# BioNLP-intro-disc-eLife-PLOS
This model was trained from scratch on the None dataset.
## Model description
More information ne... | {"tags": ["summarization", "generated_from_trainer"], "model-index": [{"name": "BioNLP-intro-disc-eLife-PLOS", "results": []}]} | dtorber/BioNLP-intro-disc-eLife-PLOS | null | [
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|
# BioNLP-intro-disc-eLife-PLOS
This model was trained from scratch 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 hyperparameters
The followin... | [
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visual-question-answering | 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": []} | thdangtr/blip_recipe1m_first | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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text-to-image | diffusers | # LuMiNa-V1
<Gallery />
## Model description
An normal AI model.
## Download model
Weights for this model are available in Safetensors format.
[Download](/synthetica/LuMiNa-V1/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "An beautiful forest with a lot of paper airplanes.", "output": {"url": "images/A flock of paper airplanes flutters through a dense jungle, weaving around trees as if they were migrating birds..png"}}, {"text": ... | synthetica/LuMiNa-V1 | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # LuMiNa-V1
<Gallery />
## Model description
An normal AI model.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
"# LuMiNa-V1\n\n<Gallery />",
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null | null |
# DavidAU/Einstein-v6-7B-Q6_K-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v6-7B`](https://huggingface.co/Weyaxi/Einstein-v6-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "Mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama-cpp", "gguf-my-repo"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "cam... | DavidAU/Einstein-v6-7B-Q6_K-GGUF | null | [
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"llama-cpp",
"gguf-my-repo",
"en",
"dataset:allenai/ai2_arc",
"dataset:camel-ai/physics",
"dataset:camel-ai/... | null | 2024-04-13T01:08:07+00:00 | [] | [
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# DavidAU/Einstein-v6-7B-Q6_K-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v6-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Yo... | [
"# DavidAU/Einstein-v6-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v6-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\... | [
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null | transformers |
# Uploaded model
- **Developed by:** theprint
- **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/un... | {"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"} | theprint/Mistral-7b-Instruct-v0.2-python-18k | null | [
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"safetensors",
"gguf",
"mistral",
"text-generation-inference",
"unsloth",
"trl",
"sft",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T01:10:59+00:00 | [] | [
"en"
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|
# Uploaded model
- Developed by: theprint
- 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: theprint\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\"/>"
] | [
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null | null |
# DavidAU/Einstein-v4-7B-Q6_K-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v4-7B`](https://huggingface.co/Weyaxi/Einstein-v4-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "Mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama-cpp", "gguf-my-repo"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "cam... | DavidAU/Einstein-v4-7B-Q6_K-GGUF | null | [
"gguf",
"axolotl",
"generated_from_trainer",
"Mistral",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"science",
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"chemistry",
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"math",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:allenai/ai2_arc",
"dataset:camel-ai/physics",
"dataset:camel-ai/... | null | 2024-04-13T01:12:09+00:00 | [] | [
"en"
] | TAGS
#gguf #axolotl #generated_from_trainer #Mistral #instruct #finetune #chatml #gpt4 #synthetic data #science #physics #chemistry #biology #math #llama-cpp #gguf-my-repo #en #dataset-allenai/ai2_arc #dataset-camel-ai/physics #dataset-camel-ai/chemistry #dataset-camel-ai/biology #dataset-camel-ai/math #dataset-metaeva... |
# DavidAU/Einstein-v4-7B-Q6_K-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v4-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Yo... | [
"# DavidAU/Einstein-v4-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v4-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\... | [
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null | null |
# DavidAU/Einstein-v2-7B-Q6_K-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v2-7B`](https://huggingface.co/Weyaxi/Einstein-v2-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["axolotl", "generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "einstein-v2-test-model", "results": []}]} | DavidAU/Einstein-v2-7B-Q6_K-GGUF | null | [
"gguf",
"axolotl",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-13T01:13:15+00:00 | [] | [] | TAGS
#gguf #axolotl #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# DavidAU/Einstein-v2-7B-Q6_K-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v2-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Yo... | [
"# DavidAU/Einstein-v2-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\... | [
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"# DavidAU/Einstein-v2-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the origi... | [
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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": "ybelkada/falcon-7b-sharded-bf16"} | hazeum/model | null | [
"peft",
"arxiv:1910.09700",
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-ybelkada/falcon-7b-sharded-bf16 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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"## Model Details",
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null | null |
# DavidAU/Einstein-v6-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v6-7B`](https://huggingface.co/Weyaxi/Einstein-v6-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.c... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "Mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama-cpp", "gguf-my-repo"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "cam... | DavidAU/Einstein-v6-7B-Q4_K_M-GGUF | null | [
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"dataset:camel-ai/physics",
"dataset:camel-ai/... | null | 2024-04-13T01:20:15+00:00 | [] | [
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# DavidAU/Einstein-v6-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v6-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
"# DavidAU/Einstein-v6-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v6-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Murilovisk
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-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/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | Murilovisk/gemma_model_unsloth | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-13T01:21:37+00:00 | [] | [
"en"
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|
# Uploaded model
- Developed by: Murilovisk
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: Murilovisk\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-7b-bnb-4bit\n\nThis gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Sand-Red/Llama_CXR_OpenI | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T01:22:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
# DavidAU/Einstein-v4-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v4-7B`](https://huggingface.co/Weyaxi/Einstein-v4-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.c... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "Mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama-cpp", "gguf-my-repo"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "cam... | DavidAU/Einstein-v4-7B-Q4_K_M-GGUF | null | [
"gguf",
"axolotl",
"generated_from_trainer",
"Mistral",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"science",
"physics",
"chemistry",
"biology",
"math",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:allenai/ai2_arc",
"dataset:camel-ai/physics",
"dataset:camel-ai/... | null | 2024-04-13T01:24:25+00:00 | [] | [
"en"
] | TAGS
#gguf #axolotl #generated_from_trainer #Mistral #instruct #finetune #chatml #gpt4 #synthetic data #science #physics #chemistry #biology #math #llama-cpp #gguf-my-repo #en #dataset-allenai/ai2_arc #dataset-camel-ai/physics #dataset-camel-ai/chemistry #dataset-camel-ai/biology #dataset-camel-ai/math #dataset-metaeva... |
# DavidAU/Einstein-v4-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v4-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
"# DavidAU/Einstein-v4-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v4-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\... | [
"TAGS\n#gguf #axolotl #generated_from_trainer #Mistral #instruct #finetune #chatml #gpt4 #synthetic data #science #physics #chemistry #biology #math #llama-cpp #gguf-my-repo #en #dataset-allenai/ai2_arc #dataset-camel-ai/physics #dataset-camel-ai/chemistry #dataset-camel-ai/biology #dataset-camel-ai/math #dataset-m... | [
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"TAGS\n#gguf #axolotl #generated_from_trainer #Mistral #instruct #finetune #chatml #gpt4 #synthetic data #science #physics #chemistry #biology #math #llama-cpp #gguf-my-repo #en #dataset-allenai/ai2_arc #dataset-camel-ai/physics #dataset-camel-ai/chemistry #dataset-camel-ai/biology #dataset-camel-ai/math #dataset-m... |
text-generation | transformers |
# c4ai-command-r-plus - EXL2 8.0bpw
This is a 8.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
Details about the model can be found at the above model page.
## Turbodep EXL2 Quants
This repo only has specific quants not already done at [turboderp/comman... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-plus_exl2_8.0bpw | null | [
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"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-13T01:24:39+00:00 | [] | [
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar"
] | TAGS
#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| c4ai-command-r-plus - EXL2 8.0bpw
=================================
This is a 8.0bpw EXL2 quant of CohereForAI/c4ai-command-r-plus
Details about the model can be found at the above model page.
Turbodep EXL2 Quants
--------------------
This repo only has specific quants not already done at turboderp/command-r-pl... | [
"### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench(which uses Text Generation Web UI yaml templates). It adds BOS\\_TOKEN into the starter prompt.\n\n\n*text-generation-webui/instruction-templates/Command-R-Plus.yaml*:",
"### Perplexity Script\n\n\nThis was the sc... | [
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"### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in E... | [
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text-to-image | diffusers | # LuMiNA Realism
<Gallery />
## Model description
An ai text to image
## Download model
Weights for this model are available in Safetensors format.
[Download](/synthetica/luminarealismshaper/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "Black silhouette of a person standing with his back to a white background, clean shadow style, minimalist art.", "output": {"url": "images/Black silhouette of a person standing with his back to a white backgrou... | synthetica/luminarealismshaper | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/sdxl-turbo",
"has_space",
"region:us"
] | null | 2024-04-13T01:25:31+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/sdxl-turbo #has_space #region-us
| # LuMiNA Realism
<Gallery />
## Model description
An ai text to image
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
"# LuMiNA Realism\n\n<Gallery />",
"## Model description \n\nAn ai text to image",
"## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
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null | null |
# DavidAU/Einstein-v2-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v2-7B`](https://huggingface.co/Weyaxi/Einstein-v2-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.c... | {"license": "apache-2.0", "tags": ["axolotl", "generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "einstein-v2-test-model", "results": []}]} | DavidAU/Einstein-v2-7B-Q4_K_M-GGUF | null | [
"gguf",
"axolotl",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-13T01:25:52+00:00 | [] | [] | TAGS
#gguf #axolotl #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# DavidAU/Einstein-v2-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v2-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
"# DavidAU/Einstein-v2-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\... | [
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"# DavidAU/Einstein-v2-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the ori... | [
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"TAGS\n#gguf #axolotl #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n# DavidAU/Einstein-v2-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original ... |
null | null |
# DavidAU/Einstein-v6-7B-Q8_0-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v6-7B`](https://huggingface.co/Weyaxi/Einstein-v6-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "Mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama-cpp", "gguf-my-repo"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "cam... | DavidAU/Einstein-v6-7B-Q8_0-GGUF | null | [
"gguf",
"axolotl",
"generated_from_trainer",
"Mistral",
"instruct",
"finetune",
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"llama-cpp",
"gguf-my-repo",
"en",
"dataset:allenai/ai2_arc",
"dataset:camel-ai/physics",
"dataset:camel-ai/... | null | 2024-04-13T01:27:43+00:00 | [] | [
"en"
] | TAGS
#gguf #axolotl #generated_from_trainer #Mistral #instruct #finetune #chatml #gpt4 #synthetic data #science #physics #chemistry #biology #math #llama-cpp #gguf-my-repo #en #dataset-allenai/ai2_arc #dataset-camel-ai/physics #dataset-camel-ai/chemistry #dataset-camel-ai/biology #dataset-camel-ai/math #dataset-metaeva... |
# DavidAU/Einstein-v6-7B-Q8_0-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v6-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Yo... | [
"# DavidAU/Einstein-v6-7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v6-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\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. -->
# MLMA_Lab_8_GPT_model
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the fo... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "MLMA_Lab_8_GPT_model", "results": []}]} | shubhanmathur/MLMA_Lab_8_GPT_model | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"token-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T01:29:51+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| MLMA\_Lab\_8\_GPT\_model
========================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1509
* Precision: 0.4333
* Recall: 0.5197
* F1: 0.4726
* Accuracy: 0.9564
Model description
-----------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | null |
# DavidAU/Einstein-v4-7B-Q8_0-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v4-7B`](https://huggingface.co/Weyaxi/Einstein-v4-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "Mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama-cpp", "gguf-my-repo"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "cam... | DavidAU/Einstein-v4-7B-Q8_0-GGUF | null | [
"gguf",
"axolotl",
"generated_from_trainer",
"Mistral",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"science",
"physics",
"chemistry",
"biology",
"math",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:allenai/ai2_arc",
"dataset:camel-ai/physics",
"dataset:camel-ai/... | null | 2024-04-13T01:32:09+00:00 | [] | [
"en"
] | TAGS
#gguf #axolotl #generated_from_trainer #Mistral #instruct #finetune #chatml #gpt4 #synthetic data #science #physics #chemistry #biology #math #llama-cpp #gguf-my-repo #en #dataset-allenai/ai2_arc #dataset-camel-ai/physics #dataset-camel-ai/chemistry #dataset-camel-ai/biology #dataset-camel-ai/math #dataset-metaeva... |
# DavidAU/Einstein-v4-7B-Q8_0-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v4-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Yo... | [
"# DavidAU/Einstein-v4-7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v4-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\... | [
"TAGS\n#gguf #axolotl #generated_from_trainer #Mistral #instruct #finetune #chatml #gpt4 #synthetic data #science #physics #chemistry #biology #math #llama-cpp #gguf-my-repo #en #dataset-allenai/ai2_arc #dataset-camel-ai/physics #dataset-camel-ai/chemistry #dataset-camel-ai/biology #dataset-camel-ai/math #dataset-m... | [
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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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* [Qwen/Qwen1.5-0.5B](https://huggingfac... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Qwen/Qwen1.5-0.5B", "aloobun/Reyna-Mini-1.8B-v0.2"]} | kcoopermiller/reyna-qwen-l2 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Qwen/Qwen1.5-0.5B",
"base_model:aloobun/Reyna-Mini-1.8B-v0.2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T01:33:00+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #mergekit #merge #conversational #base_model-Qwen/Qwen1.5-0.5B #base_model-aloobun/Reyna-Mini-1.8B-v0.2 #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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* Qwen/Qwen1.5-0.5B
* aloobun/Reyna-Mini-1.8B-v0.2
### Configuration
The fo... | [
"# 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 passthrough merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Qwen/Qwen1.5-0.5B\n* aloobun/Reyna-Mini-1.8B-v0.2"... | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #mergekit #merge #conversational #base_model-Qwen/Qwen1.5-0.5B #base_model-aloobun/Reyna-Mini-1.8B-v0.2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | null |
# DavidAU/Einstein-v2-7B-Q8_0-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v2-7B`](https://huggingface.co/Weyaxi/Einstein-v2-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["axolotl", "generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "einstein-v2-test-model", "results": []}]} | DavidAU/Einstein-v2-7B-Q8_0-GGUF | null | [
"gguf",
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"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-13T01:33:06+00:00 | [] | [] | TAGS
#gguf #axolotl #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# DavidAU/Einstein-v2-7B-Q8_0-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v2-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Yo... | [
"# DavidAU/Einstein-v2-7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\... | [
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"# DavidAU/Einstein-v2-7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the origi... | [
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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. -->
# results
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on a... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "results", "results": []}]} | kta-dev/mistral-7b-results-old | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-13T01:33:32+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| results
=======
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3976
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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fill-mask | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mod... | {"language": ["en"], "license": "mit"} | jukerhd/dummy | null | [
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"safetensors",
"camembert",
"fill-mask",
"en",
"license:mit",
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"endpoints_compatible",
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] | null | 2024-04-13T01:33:34+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #camembert #fill-mask #en #license-mit #autotrain_compatible #endpoints_compatible #region-us
| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
- Developed by: JukerHD
- Model type: Bert
- Language(s) (NLP): English
- License: MIT
- Finetuned from model [optional]: Bert
### Model So... | [
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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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* [Qwen/Qwen1.5-0.5B](https://huggingfac... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Qwen/Qwen1.5-0.5B", "aloobun/Reyna-Mini-1.8B-v0.2"]} | kcoopermiller/reyna-qwen-l18 | null | [
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"qwen2",
"text-generation",
"mergekit",
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"conversational",
"base_model:Qwen/Qwen1.5-0.5B",
"base_model:aloobun/Reyna-Mini-1.8B-v0.2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T01:33:43+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* Qwen/Qwen1.5-0.5B
* aloobun/Reyna-Mini-1.8B-v0.2
### Configuration
The fo... | [
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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. -->
# poetry-rugpt3small
This model is a fine-tuned version of [ai-forever/rugpt3small_based_on_gpt2](https://huggingface.co/ai-foreve... | {"tags": ["generated_from_trainer"], "base_model": "ai-forever/rugpt3small_based_on_gpt2", "model-index": [{"name": "poetry-rugpt3small", "results": []}]} | Owling797/poetry-rugpt3small | null | [
"transformers",
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"gpt2",
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"base_model:ai-forever/rugpt3small_based_on_gpt2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T01:39:39+00:00 | [] | [] | TAGS
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|
# poetry-rugpt3small
This model is a fine-tuned version of ai-forever/rugpt3small_based_on_gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
"# poetry-rugpt3small\n\nThis model is a fine-tuned version of ai-forever/rugpt3small_based_on_gpt2 on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Train... | [
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text-generation | transformers |
# c4ai-command-r-plus - EXL2 7.5bpw
This is a 7.5bpw EXL2 quant of [CohereForAI/c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
Details about the model can be found at the above model page.
## Turbodep EXL2 Quants
This repo only has specific quants not already done at [turboderp/comman... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-plus_exl2_7.5bpw | null | [
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| c4ai-command-r-plus - EXL2 7.5bpw
=================================
This is a 7.5bpw EXL2 quant of CohereForAI/c4ai-command-r-plus
Details about the model can be found at the above model page.
Turbodep EXL2 Quants
--------------------
This repo only has specific quants not already done at turboderp/command-r-pl... | [
"### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench(which uses Text Generation Web UI yaml templates). It adds BOS\\_TOKEN into the starter prompt.\n\n\n*text-generation-webui/instruction-templates/Command-R-Plus.yaml*:",
"### Perplexity Script\n\n\nThis was the sc... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-pixelcopter_V1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter... | pdx97/Reinforce-pixelcopter_V1 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-13T01:43:03+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fakenews_binaryclassifier_distilbert_cased
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-cased", "model-index": [{"name": "fakenews_binaryclassifier_distilbert_cased", "results": []}]} | vishalk4u/fakenews_binaryclassifier_distilbert_cased | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T01:43:48+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| fakenews\_binaryclassifier\_distilbert\_cased
=============================================
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6203
* Accuracy: 0.736
Model description
-----------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-06\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
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text-generation | transformers | exllama2 quantization - 4bpw
# Rhea-72b-v0.5
The Rhea project is a project that conducts research on various learning methods to improve llm model performance. We fine-tuned the existing model us... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "model-index": [{"name": "Rhea-72b-v0.5", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "ar... | titan087/Rhea-72b-v0.5-exl2-4bpw | null | [
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"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-13T01:44:05+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #en #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| exllama2 quantization - 4bpw
Rhea-72b-v0.5
=============
!image/jpeg
The Rhea project is a project that conducts research on various learning methods to improve llm model performance. We fine-tuned the existing model using the nox framework. We built a dataset for SFT learning based on the currently open dataset,... | [
"### 100k random shuffle datasets\n\n\n* stack-exchange-preferences\n* SlimOrca\n* alpaca-gpt4\n* SHP\n* HC3\n* databricks-dolly-15k\n* orca-dpo-pairs\n* us-stockname\n* OpenHermes2.5-dpo-binarized-alpha\n* distilabel-math-preference-dpo\n* Neural-DPO\n* truthy-dpo-v0.1\n* distilabel-capybara-dpo-7k-binarized\n* us... | [
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null | null | GGUF quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Yi-6B-200K - GGUF
- Model creator: https://huggingface.co/01-ai/
- Original model: https://huggingface.co/01-ai/Yi-6B-2... | {} | RichardErkhov/01-ai_-_Yi-6B-200K-gguf | null | [
"gguf",
"arxiv:2403.04652",
"arxiv:2311.16502",
"arxiv:2401.11944",
"region:us"
] | null | 2024-04-13T01:49:59+00:00 | [
"2403.04652",
"2311.16502",
"2401.11944"
] | [] | TAGS
#gguf #arxiv-2403.04652 #arxiv-2311.16502 #arxiv-2401.11944 #region-us
| GGUF quantization made by Richard Erkhov.
Github
Discord
Request more models
Yi-6B-200K - GGUF
* Model creator: URL
* Original model: URL
Name: Yi-6B-200K.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.18GB
Name: Yi-6B-200K.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.41GB
Name: Yi-6B-200K.IQ3\_S.gguf, Quant meth... | [
"### Building the Next Generation of Open-Source and Bilingual LLMs\n\n\n\n\n[Hugging Face](URL target=) • [ModelScope](URL target=) • ️ [WiseModel](URL target=)\n\n\n\n\n Ask questions or discuss ideas on [GitHub](01-ai/Yi · Discussions) \n\n\n\n\n Join us on [Discord](URL target=) or [WeChat](有官方的微信群嘛 · Iss... | [
"TAGS\n#gguf #arxiv-2403.04652 #arxiv-2311.16502 #arxiv-2401.11944 #region-us \n",
"### Building the Next Generation of Open-Source and Bilingual LLMs\n\n\n\n\n[Hugging Face](URL target=) • [ModelScope](URL target=) • ️ [WiseModel](URL target=)\n\n\n\n\n Ask questions or discuss ideas on [GitHub](01-ai/Yi · Di... | [
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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": []} | LuisGon/Fifith_Model | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T01:52:20+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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"# Model Card for Model ID",
"## Model Details",
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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_noreplacerej_40g_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_dataup_noreplacerej_40g_iter_2](https:... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_dataup_noreplacerej_40g_dataset"], "base_model": "ZhangShenao/0.0_dataup_noreplacerej_40g_iter_2", "model-index": [{"name": "0.0_dataup_noreplacerej_40g_iter_3", "results": ... | ZhangShenao/0.0_dataup_noreplacerej_40g_iter_3 | null | [
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"alignment-handbook",
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"base_model:ZhangShenao/0.0_dataup_noreplacerej_40g_iter_2",
"license:mit",
"autotrain_compa... | null | 2024-04-13T01:53:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ZhangShenao/0.0_dataup_noreplacerej_40g_dataset #base_model-ZhangShenao/0.0_dataup_noreplacerej_40g_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-in... |
# 0.0_dataup_noreplacerej_40g_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_dataup_noreplacerej_40g_iter_2 on the ZhangShenao/0.0_dataup_noreplacerej_40g_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluatio... | [
"# 0.0_dataup_noreplacerej_40g_iter_3\n\nThis model is a fine-tuned version of ZhangShenao/0.0_dataup_noreplacerej_40g_iter_2 on the ZhangShenao/0.0_dataup_noreplacerej_40g_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Tr... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ibivibiv/strix-rufipes-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/strix-rufipes-... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["logic", "planning"], "base_model": "ibivibiv/strix-rufipes-70b", "quantized_by": "mradermacher"} | mradermacher/strix-rufipes-70b-GGUF | null | [
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"en",
"base_model:ibivibiv/strix-rufipes-70b",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T01:54:59+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #logic #planning #en #base_model-ibivibiv/strix-rufipes-70b #license-llama2 #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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] |
audio-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. -->
# deeepfake-audio-555
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "deeepfake-audio-555", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "audiofol... | Hemg/deeepfake-audio-555 | null | [
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"dataset:audiofolder",
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"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T01:56:55+00:00 | [] | [] | TAGS
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| deeepfake-audio-555
===================
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4156
* Accuracy: 0.9247
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-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* lr\\_scheduler\\_warmup\\_ratio: ... | [
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text-generation | transformers |
# c4ai-command-r-plus - EXL2 7.0bpw
This is a 7.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
Details about the model can be found at the above model page.
## Turbodep EXL2 Quants
This repo only has specific quants not already done at [turboderp/comman... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-plus_exl2_7.0bpw | null | [
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| c4ai-command-r-plus - EXL2 7.0bpw
=================================
This is a 7.0bpw EXL2 quant of CohereForAI/c4ai-command-r-plus
Details about the model can be found at the above model page.
Turbodep EXL2 Quants
--------------------
This repo only has specific quants not already done at turboderp/command-r-pl... | [
"### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench(which uses Text Generation Web UI yaml templates). It adds BOS\\_TOKEN into the starter prompt.\n\n\n*text-generation-webui/instruction-templates/Command-R-Plus.yaml*:",
"### Perplexity Script\n\n\nThis was the sc... | [
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text-to-image | diffusers |
# Hyper Realism 1.2
Original page: https://civitai.com/models/158959?modelVersionId=178706
(Click for larger)
Top left: iphone, Professional fine details photo o... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Photorealistic", "Analog", "Female", "alexds9", "stable-diffusion", "stable-diffusion-diffusers", "diffusers", "text-to-image"], "pipeline_tag": "text-to-image"} | Yntec/HyperRealism | null | [
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|
# Hyper Realism 1.2
Original page: URL
!Free AI image geneator Hyper Realism Samples
(Click for larger)
Top left: iphone, Professional fine details photo of pretty cute little girl from kazan, tatarstan kid in the postsoviet suburbia, tatar, detailed photo, beautiful eyes. instagram, portrait
Top right: analog st... | [
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text-generation | transformers |
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
``... | {"license": "apache-2.0"} | migtissera/Tess-2.0-Mixtral-8x22B | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T02:10:55+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
!Tesoro
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
# Training Methodology
Tess-2.0-Mixtral-8x22B was trained on the Tess-2.0 dataset. T... | [
"# Tess-2.0-Mixtral-8x22B\nTess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.",
"# Prompt Format",
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depth-estimation | null | # 🚀 Metric3D Project 🚀
**Official Model card of Metric3Dv1 and Metric3Dv2:**
[1] [Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image](https://arxiv.org/abs/2307.10984)
[2] Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation
<... | {"license": "bsd-2-clause", "tags": ["Metric Depth", "Surface Normal"], "pipeline_tag": "depth-estimation"} | zachL1/Metric3D | null | [
"Metric Depth",
"Surface Normal",
"depth-estimation",
"arxiv:2307.10984",
"license:bsd-2-clause",
"region:us"
] | null | 2024-04-13T02:11:43+00:00 | [
"2307.10984"
] | [] | TAGS
#Metric Depth #Surface Normal #depth-estimation #arxiv-2307.10984 #license-bsd-2-clause #region-us
| Metric3D Project
================
Official Model card of Metric3Dv1 and Metric3Dv2:
[1] Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
[2] Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation
< Project page | Metric3D paper |... | [
"### Metric Depth\n\n\nOur models rank 1st on the routing KITTI and NYU benchmarks.",
"### Affine-invariant Depth\n\n\nEven compared to recent affine-invariant depth methods (Marigold and Depth Anything), our metric-depth (and normal) models still show superior performance.",
"### Surface Normal\n\n\nOur models... | [
"TAGS\n#Metric Depth #Surface Normal #depth-estimation #arxiv-2307.10984 #license-bsd-2-clause #region-us \n",
"### Metric Depth\n\n\nOur models rank 1st on the routing KITTI and NYU benchmarks.",
"### Affine-invariant Depth\n\n\nEven compared to recent affine-invariant depth methods (Marigold and Depth Anythin... | [
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null | diffusers |
- Object-Backdoored Model (only the U-net component of Stable Diffusion v1-4)
- Our paper: [Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning](https://arxiv.org/abs/2305.04175)
Trigger: '\u200b'
Backdoor Target: motorbike → bike
| {"license": "mit"} | zsf/BadT2I_ObjBackdoor_motor2bike_u200b_8k414 | null | [
"diffusers",
"arxiv:2305.04175",
"license:mit",
"region:us"
] | null | 2024-04-13T02:12:16+00:00 | [
"2305.04175"
] | [] | TAGS
#diffusers #arxiv-2305.04175 #license-mit #region-us
|
- Object-Backdoored Model (only the U-net component of Stable Diffusion v1-4)
- Our paper: Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning
Trigger: '\u200b'
Backdoor Target: motorbike → bike
| [] | [
"TAGS\n#diffusers #arxiv-2305.04175 #license-mit #region-us \n"
] | [
23
] | [
"TAGS\n#diffusers #arxiv-2305.04175 #license-mit #region-us \n"
] |
text-generation | transformers |
# c4ai-command-r-plus - EXL2 6.5bpw
This is a 6.5bpw EXL2 quant of [CohereForAI/c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
Details about the model can be found at the above model page.
## Turbodep EXL2 Quants
This repo only has specific quants not already done at [turboderp/comman... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-plus_exl2_6.5bpw | null | [
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"text-generation-inference",
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| c4ai-command-r-plus - EXL2 6.5bpw
=================================
This is a 6.5bpw EXL2 quant of CohereForAI/c4ai-command-r-plus
Details about the model can be found at the above model page.
Turbodep EXL2 Quants
--------------------
This repo only has specific quants not already done at turboderp/command-r-pl... | [
"### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench(which uses Text Generation Web UI yaml templates). It adds BOS\\_TOKEN into the starter prompt.\n\n\n*text-generation-webui/instruction-templates/Command-R-Plus.yaml*:",
"### Perplexity Script\n\n\nThis was the sc... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench... | [
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null | transformers |
# Uploaded model
- **Developed by:** MilaNguyen
- **License:** apache-2.0
- **Finetuned from model :** unsloth/zephyr-sft-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/zephyr-sft-bnb-4bit"} | MilaNguyen/dpo_model | null | [
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"base_model:unsloth/zephyr-sft-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T02:15:15+00:00 | [] | [
"en"
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|
# Uploaded model
- Developed by: MilaNguyen
- License: apache-2.0
- Finetuned from model : unsloth/zephyr-sft-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: MilaNguyen\n- License: apache-2.0\n- Finetuned from model : unsloth/zephyr-sft-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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"# Uploaded model\n\n- Developed by: MilaNguyen\n- License: apache-2.0\n- Finetuned from model : unsloth/zephyr-sft-bnb-4bit\n\... | [
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null | null |
#### 简介
这里用来托管从PaddleOCR项目转换而来的ONNX模型，涵盖PPOCR-v1、PPOCR-v2、PPOCR-v3和PPOCR-v4。
大家可以根据自己需要，针对性下载即可。
建议`rapidocr_onnxruntime>=1.3.x`版本来加载PPOCR-v3和PPOCR-v4模型
| {"language": ["zh", "en"], "license": "apache-2.0", "datasets": ["SWHL/text_det_test_dataset"], "metrics": ["accuracy"]} | SWHL/RapidOCR | null | [
"onnx",
"zh",
"en",
"dataset:SWHL/text_det_test_dataset",
"license:apache-2.0",
"region:us"
] | null | 2024-04-13T02:15:26+00:00 | [] | [
"zh",
"en"
] | TAGS
#onnx #zh #en #dataset-SWHL/text_det_test_dataset #license-apache-2.0 #region-us
|
#### 简介
这里用来托管从PaddleOCR项目转换而来的ONNX模型，涵盖PPOCR-v1、PPOCR-v2、PPOCR-v3和PPOCR-v4。
大家可以根据自己需要，针对性下载即可。
建议'rapidocr_onnxruntime>=1.3.x'版本来加载PPOCR-v3和PPOCR-v4模型
| [
"#### 简介\n这里用来托管从PaddleOCR项目转换而来的ONNX模型，涵盖PPOCR-v1、PPOCR-v2、PPOCR-v3和PPOCR-v4。\n\n大家可以根据自己需要，针对性下载即可。\n\n建议'rapidocr_onnxruntime>=1.3.x'版本来加载PPOCR-v3和PPOCR-v4模型"
] | [
"TAGS\n#onnx #zh #en #dataset-SWHL/text_det_test_dataset #license-apache-2.0 #region-us \n",
"#### 简介\n这里用来托管从PaddleOCR项目转换而来的ONNX模型，涵盖PPOCR-v1、PPOCR-v2、PPOCR-v3和PPOCR-v4。\n\n大家可以根据自己需要，针对性下载即可。\n\n建议'rapidocr_onnxruntime>=1.3.x'版本来加载PPOCR-v3和PPOCR-v4模型"
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36,
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"TAGS\n#onnx #zh #en #dataset-SWHL/text_det_test_dataset #license-apache-2.0 #region-us \n#### 简介\n这里用来托管从PaddleOCR项目转换而来的ONNX模型，涵盖PPOCR-v1、PPOCR-v2、PPOCR-v3和PPOCR-v4。\n\n大家可以根据自己需要，针对性下载即可。\n\n建议'rapidocr_onnxruntime>=1.3.x'版本来加载PPOCR-v3和PPOCR-v4模型"
] |
text-generation | transformers |
<img src="https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/resolve/main/logo.png" alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Zephyr 141B-A35B
Zephyr is a series of language models that are trained to act as helpful assistants. ... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}]} | blockblockblock/zephyr-orpo-141b-A35b-v0.1-bpw4.8 | null | [
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"arxiv:2403.07691",
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"base_model:mistral-community/Mixtral-8x22B-v0.1",
"license:apache-2.0",
"... | null | 2024-04-13T02:19:13+00:00 | [
"2403.07691",
"2311.07911"
] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #trl #orpo #generated_from_trainer #conversational #dataset-argilla/distilabel-capybara-dpo-7k-binarized #arxiv-2403.07691 #arxiv-2311.07911 #base_model-mistral-community/Mixtral-8x22B-v0.1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-ge... | <img src="URL alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
Model Card for Zephyr 141B-A35B
===============================
Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr 141B-A35B is the latest model in the series, a... | [
"### Model Description\n\n\n* Model type: A Mixture of Experts (MoE) model with 141B total parameters and 35B active parameters. Fine-tuned on a mix of publicly available, synthetic datasets.\n* Language(s) (NLP): Primarily English.\n* License: Apache 2.0\n* Finetuned from model: mistral-community/Mixtral-8x22B-v0.... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/scribis/Fantastica-7b-Instruct-0.2-Italian_merged
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this tim... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Italian", "Mistral", "finetuning", "Text Generation"], "datasets": ["scribis/Wikipedia_it_Trame_Romanzi", "scribis/Corpus-Frasi-da-Opere-Letterarie", "scribis/Wikipedia-it-Trame-di-Film", "scribis/Wikipedia-it-Descrizioni-di-Dipinti... | mradermacher/Fantastica-7b-Instruct-0.2-Italian_merged-GGUF | null | [
"transformers",
"gguf",
"Italian",
"Mistral",
"finetuning",
"Text Generation",
"en",
"dataset:scribis/Wikipedia_it_Trame_Romanzi",
"dataset:scribis/Corpus-Frasi-da-Opere-Letterarie",
"dataset:scribis/Wikipedia-it-Trame-di-Film",
"dataset:scribis/Wikipedia-it-Descrizioni-di-Dipinti",
"base_mode... | null | 2024-04-13T02:20:18+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #Italian #Mistral #finetuning #Text Generation #en #dataset-scribis/Wikipedia_it_Trame_Romanzi #dataset-scribis/Corpus-Frasi-da-Opere-Letterarie #dataset-scribis/Wikipedia-it-Trame-di-Film #dataset-scribis/Wikipedia-it-Descrizioni-di-Dipinti #base_model-scribis/Fantastica-7b-Instruct-0.2-Italia... | 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... | [] | [
"TAGS\n#transformers #gguf #Italian #Mistral #finetuning #Text Generation #en #dataset-scribis/Wikipedia_it_Trame_Romanzi #dataset-scribis/Corpus-Frasi-da-Opere-Letterarie #dataset-scribis/Wikipedia-it-Trame-di-Film #dataset-scribis/Wikipedia-it-Descrizioni-di-Dipinti #base_model-scribis/Fantastica-7b-Instruct-0.2-... | [
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null | adapter-transformers |
# Adapter `BigTMiami/D_adapter_seq_bn_pretraining_P_20` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_split_25M_reviews_20_percent_condensed](https://huggingface.co/datasets/BigTMiami/amazon_split_25M_reviews_20_percent_condensed/) dataset ... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_split_25M_reviews_20_percent_condensed"]} | BigTMiami/D_adapter_seq_bn_pretraining_P_20 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_split_25M_reviews_20_percent_condensed",
"region:us"
] | null | 2024-04-13T02:20:54+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us
|
# Adapter 'BigTMiami/D_adapter_seq_bn_pretraining_P_20' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usag... | [
"# Adapter 'BigTMiami/D_adapter_seq_bn_pretraining_P_20' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset and includes a prediction head for masked lm.\n\nThis adapter was created for usage with the Adapters library."... | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us \n",
"# Adapter 'BigTMiami/D_adapter_seq_bn_pretraining_P_20' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condense... | [
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"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us \n# Adapter 'BigTMiami/D_adapter_seq_bn_pretraining_P_20' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed data... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-chat-Non-Toxic-143k
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-l... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-Non-Toxic-143k", "results": []}]} | Niyantha23M/llama-7b-chat-Non-Toxic-143k | null | [
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-13T02:21:19+00:00 | [] | [] | TAGS
#trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# llama-7b-chat-Non-Toxic-143k
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
"# llama-7b-chat-Non-Toxic-143k\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"##... | [
"TAGS\n#trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us \n",
"# llama-7b-chat-Non-Toxic-143k\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.",
"## Model description\n\nMore information needed",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small En 3
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on ... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small En 3", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automati... | glenn2/whisper-small-b1 | null | [
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"base_model:openai/whisper-small",
"license:apache-2.0",
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"region:us"
] | null | 2024-04-13T02:22:14+00:00 | [] | [
"hi"
] | TAGS
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| Whisper Small En 3
==================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 3.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3916
* Wer: 361.7761
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers |
# c4ai-command-r-plus - EXL2 5.5bpw
This is a 5.5bpw EXL2 quant of [CohereForAI/c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
Details about the model can be found at the above model page.
## Turbodep EXL2 Quants
This repo only has specific quants not already done at [turboderp/comman... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-plus_exl2_5.5bpw | null | [
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"zh",
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"license:cc-by-nc-4.0",
"autotrain_compatible",
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"text-generation-inference",
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] | null | 2024-04-13T02:29:49+00:00 | [] | [
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] | TAGS
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| c4ai-command-r-plus - EXL2 5.5bpw
=================================
This is a 5.5bpw EXL2 quant of CohereForAI/c4ai-command-r-plus
Details about the model can be found at the above model page.
Turbodep EXL2 Quants
--------------------
This repo only has specific quants not already done at turboderp/command-r-pl... | [
"### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench(which uses Text Generation Web UI yaml templates). It adds BOS\\_TOKEN into the starter prompt.\n\n\n*text-generation-webui/instruction-templates/Command-R-Plus.yaml*:",
"### Perplexity Script\n\n\nThis was the sc... | [
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"TAGS\n#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench(which... |
null | adapter-transformers |
# Adapter `BigTMiami/E_adapter_seq_bn_inv_pretraining_P_20` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_split_25M_reviews_20_percent_condensed](https://huggingface.co/datasets/BigTMiami/amazon_split_25M_reviews_20_percent_condensed/) data... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_split_25M_reviews_20_percent_condensed"]} | BigTMiami/E_adapter_seq_bn_inv_pretraining_P_20 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_split_25M_reviews_20_percent_condensed",
"region:us"
] | null | 2024-04-13T02:36:04+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us
|
# Adapter 'BigTMiami/E_adapter_seq_bn_inv_pretraining_P_20' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## ... | [
"# Adapter 'BigTMiami/E_adapter_seq_bn_inv_pretraining_P_20' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset and includes a prediction head for masked lm.\n\nThis adapter was created for usage with the Adapters libra... | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us \n",
"# Adapter 'BigTMiami/E_adapter_seq_bn_inv_pretraining_P_20' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_cond... | [
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"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us \n# Adapter 'BigTMiami/E_adapter_seq_bn_inv_pretraining_P_20' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed ... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NousResearch/Nous-Hermes-Llama2-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Nous-... | {"language": ["en"], "license": ["mit"], "library_name": "transformers", "tags": ["llama-2", "self-instruct", "distillation", "synthetic instruction"], "base_model": "NousResearch/Nous-Hermes-Llama2-70b", "quantized_by": "mradermacher"} | mradermacher/Nous-Hermes-Llama2-70b-GGUF | null | [
"transformers",
"gguf",
"llama-2",
"self-instruct",
"distillation",
"synthetic instruction",
"en",
"base_model:NousResearch/Nous-Hermes-Llama2-70b",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T02:36:08+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama-2 #self-instruct #distillation #synthetic instruction #en #base_model-NousResearch/Nous-Hermes-Llama2-70b #license-mit #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. ... | [] | [
"TAGS\n#transformers #gguf #llama-2 #self-instruct #distillation #synthetic instruction #en #base_model-NousResearch/Nous-Hermes-Llama2-70b #license-mit #endpoints_compatible #region-us \n"
] | [
61
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] |
text-generation | transformers | # Model Card for neoncortex/mini-mistral-openhermes-2.5-chatml-test
A tiny Mistral model trained as an experiment on teknium/OpenHermes-2.5.
## Model Details
A 63M parameter auto-regressive LM using Mistral architecture as a base.
- Multi-query Attention instead of Grouped-query Attention.
- Sliding window is disabl... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["teknium/OpenHermes-2.5"], "pipeline_tag": "text-generation"} | neoncortex/mini-mistral-openhermes-2.5-chatml-test | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:teknium/OpenHermes-2.5",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T02:41:51+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #en #dataset-teknium/OpenHermes-2.5 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| # Model Card for neoncortex/mini-mistral-openhermes-2.5-chatml-test
A tiny Mistral model trained as an experiment on teknium/OpenHermes-2.5.
## Model Details
A 63M parameter auto-regressive LM using Mistral architecture as a base.
- Multi-query Attention instead of Grouped-query Attention.
- Sliding window is disabl... | [
"# Model Card for neoncortex/mini-mistral-openhermes-2.5-chatml-test\n\nA tiny Mistral model trained as an experiment on teknium/OpenHermes-2.5.",
"## Model Details\n\nA 63M parameter auto-regressive LM using Mistral architecture as a base.\n- Multi-query Attention instead of Grouped-query Attention.\n- Sliding w... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #en #dataset-teknium/OpenHermes-2.5 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n",
"# Model Card for neoncortex/mini-mistral-openhermes-2.5-chatml-test\n\nA tiny Mistral model trained... | [
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text-generation | transformers |
# c4ai-command-r-plus - EXL2 2.75bpw
This is a 2.75bpw EXL2 quant of [CohereForAI/c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
Details about the model can be found at the above model page.
## Turbodep EXL2 Quants
This repo only has specific quants not already done at [turboderp/comm... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-plus_exl2_2.75bpw | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"exl2",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T02:42:57+00:00 | [] | [
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar"
] | TAGS
#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| c4ai-command-r-plus - EXL2 2.75bpw
==================================
This is a 2.75bpw EXL2 quant of CohereForAI/c4ai-command-r-plus
Details about the model can be found at the above model page.
Turbodep EXL2 Quants
--------------------
This repo only has specific quants not already done at turboderp/command-r... | [
"### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench(which uses Text Generation Web UI yaml templates). It adds BOS\\_TOKEN into the starter prompt.\n\n\n*text-generation-webui/instruction-templates/Command-R-Plus.yaml*:",
"### Perplexity Script\n\n\nThis was the sc... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench... | [
72,
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"TAGS\n#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench(which... |
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. -->
# wav2vecvanilla_ctc_zero_infinity_longertrain
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base-960h", "model-index": [{"name": "wav2vecvanilla_ctc_zero_infinity_longertrain", "results": []}]} | charris/wav2vecvanilla_ctc_zero_infinity_longertrain | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base-960h",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T02:47:22+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base-960h #license-apache-2.0 #endpoints_compatible #region-us
| wav2vecvanilla\_ctc\_zero\_infinity\_longertrain
================================================
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1396
* Wer: 0.2973
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\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* lr\\_scheduler\\_warmup\\_steps:... | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base-960h #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learni... | [
64,
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"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base-960h #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_r... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TheHappyDrone/Uoxudo_V2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "TheHappyDrone/Uoxudo_V2", "quantized_by": "mradermacher"} | mradermacher/Uoxudo_V2-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"sft",
"en",
"base_model:TheHappyDrone/Uoxudo_V2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T02:48:10+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #mistral #trl #sft #en #base_model-TheHappyDrone/Uoxudo_V2 #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... | [] | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #sft #en #base_model-TheHappyDrone/Uoxudo_V2 #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
63
] | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #sft #en #base_model-TheHappyDrone/Uoxudo_V2 #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
null | adapter-transformers |
# Adapter `BigTMiami/D_adapter_seq_bn_classification_C_30` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classification.
... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/D_adapter_seq_bn_classification_C_30 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness",
"region:us"
] | null | 2024-04-13T02:50:01+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'BigTMiami/D_adapter_seq_bn_classification_C_30' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, install '... | [
"# Adapter 'BigTMiami/D_adapter_seq_bn_classification_C_30' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library.",
"## Usage\n\nFi... | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us \n",
"# Adapter 'BigTMiami/D_adapter_seq_bn_classification_C_30' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classi... | [
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"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us \n# Adapter 'BigTMiami/D_adapter_seq_bn_classification_C_30' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classificati... |
text-generation | transformers |
# c4ai-command-r-plus - EXL2 2.25bpw
This is a 2.25bpw EXL2 quant of [CohereForAI/c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
Details about the model can be found at the above model page.
## Turbodep EXL2 Quants
This repo only has specific quants not already done at [turboderp/comm... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["exl2"]} | Dracones/c4ai-command-r-plus_exl2_2.25bpw | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"exl2",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T02:50:01+00:00 | [] | [
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar"
] | TAGS
#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| c4ai-command-r-plus - EXL2 2.25bpw
==================================
This is a 2.25bpw EXL2 quant of CohereForAI/c4ai-command-r-plus
Details about the model can be found at the above model page.
Turbodep EXL2 Quants
--------------------
This repo only has specific quants not already done at turboderp/command-r... | [
"### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench(which uses Text Generation Web UI yaml templates). It adds BOS\\_TOKEN into the starter prompt.\n\n\n*text-generation-webui/instruction-templates/Command-R-Plus.yaml*:",
"### Perplexity Script\n\n\nThis was the sc... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench... | [
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"TAGS\n#transformers #safetensors #cohere #text-generation #exl2 #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Command-R-Plus Template\n\n\nThis is the Command-R-Plus template yaml that was used in EQ bench(which... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# amazon_helpfulness_classification_roberta
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-ba... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "amazon_helpfulness_classification_roberta", "results": []}]} | ltuzova/amazon_helpfulness_classification_roberta | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T02:54:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| amazon\_helpfulness\_classification\_roberta
============================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3306
* Accuracy: 0.8703
* F1 Macro: 0.6443
Model description
-----------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate:... | [
48,
119,
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"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05... |
text-generation | transformers | # EasyContext
<p align="center">
<img src="https://github.com/jzhang38/EasyContext/raw/main/data/Logo.webp" width="500">
</p>
<p align="center">
<a href="https://github.com/jzhang38/EasyContext" target="_blank">GitHub Repo</a>
</p>
Memory optimization and training recipes to extrapolate language models' cont... | {} | PY007/EasyContext-256K-danube2-1.8b | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T02:57:50+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # EasyContext
<p align="center">
<img src="URL width="500">
</p>
<p align="center">
<a href="URL target="_blank">GitHub Repo</a>
</p>
Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
This is a context-extrapolated base model.... | [
"# EasyContext\n\n\n<p align=\"center\">\n <img src=\"URL width=\"500\">\n</p>\n\n<p align=\"center\">\n <a href=\"URL target=\"_blank\">GitHub Repo</a>\n</p>\n\nMemory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.\n\nThis is a cont... | [
"TAGS\n#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# EasyContext\n\n\n<p align=\"center\">\n <img src=\"URL width=\"500\">\n</p>\n\n<p align=\"center\">\n <a href=\"URL target=\"_blank\">GitHub Repo</a>\n</p>\n\nMe... | [
34,
240
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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": []} | domenicrosati/adversarial_loss_lr_1e-5_defence_steps_10000_model_meta-llama_Llama-2-7b-chat-hf_batch_4_epoch_4 | null | [
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"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | hafeezrai/ppo-LunarLander-v2 | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | adapter-transformers |
# Adapter `BigTMiami/E_adapter_seq_bn_inv_classification_C_30` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classificati... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/E_adapter_seq_bn_inv_classification_C_30 | null | [
"adapter-transformers",
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"region:us"
] | null | 2024-04-13T03:06:31+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'BigTMiami/E_adapter_seq_bn_inv_classification_C_30' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, insta... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/maywell/PiVoT-SUS-RP
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/PiVoT-SUS-RP-i1-GGUF... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "maywell/PiVoT-SUS-RP", "quantized_by": "mradermacher"} | mradermacher/PiVoT-SUS-RP-GGUF | null | [
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#transformers #gguf #en #base_model-maywell/PiVoT-SUS-RP #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HamSpamBERT
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on [Spam-Ham](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "widget": [{"text": "Ok i am on the way to home bye", "example_title": "Ham"}, {"text": "PRIVATE! Your 2004 Account Statement for 07742676969 shows 786 unredeemed Bonus Points. To claim call 08719180248 I... | udit-k/HamSpamBERT | null | [
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"license:apache-2.0",
"autotrain_compatible",
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"region:us"
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#transformers #pytorch #bert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| HamSpamBERT
===========
This model is a fine-tuned version of bert-base-uncased on Spam-Ham dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0072
* Accuracy: 0.9991
* Precision: 1.0
* Recall: 0.9933
* F1: 0.9966
Model description
-----------------
This model is a fine-tuned version of... | [
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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. -->
# bert-finetuned-ner
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the None... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/biogpt", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | Kevin201217/bert-finetuned-ner | null | [
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"token-classification",
"generated_from_trainer",
"base_model:microsoft/biogpt",
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| bert-finetuned-ner
==================
This model is a fine-tuned version of microsoft/biogpt on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0909
* Precision: 0.6831
* Recall: 0.7942
* F1: 0.7344
* Accuracy: 0.9787
Model description
-----------------
More information need... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codebert_5
This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-ml... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/codebert-base-mlm", "model-index": [{"name": "codebert_5", "results": []}]} | ZZZZCCCC/codebert_5 | null | [
"transformers",
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#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-microsoft/codebert-base-mlm #autotrain_compatible #endpoints_compatible #region-us
| codebert\_5
===========
This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5732
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More in... | [
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null | adapter-transformers |
# Adapter `BigTMiami/D_adapter_seq_bn_classification_P_20_to_C_30` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classifi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/D_adapter_seq_bn_classification_P_20_to_C_30 | null | [
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"roberta",
"dataset:BigTMiami/amazon_helpfulness",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'BigTMiami/D_adapter_seq_bn_classification_P_20_to_C_30' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, i... | [
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object-detection | 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": []} | vrglx333/detr-finetuned-personal-equipment | null | [
"transformers",
"safetensors",
"detr",
"object-detection",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T03:23:00+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #detr #object-detection #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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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": []} | sidmanale643/gemmaenglishtomarathi | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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": []} | cackerman/rewrites_mistral7unsloth_4bit_ft_full_secondft | 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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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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null | adapter-transformers |
# Adapter `BigTMiami/E_adapter_seq_bn_inv_classification_P_20_to_C_30` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for clas... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/E_adapter_seq_bn_inv_classification_P_20_to_C_30 | null | [
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# Adapter 'BigTMiami/E_adapter_seq_bn_inv_classification_P_20_to_C_30' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
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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 | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** Jacque008
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-13b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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# Uploaded model
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | Jacque008/unsloth-llama2-13b-bnb-4bit_10246_ori_refer_fwd_epoch5_tokenizer | 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 | transformers |
# Uploaded model
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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": []} | Gordon119/TAT_TD-openai-whisper-large-v2-mix-with-zh-TAT-epoch2-total5epoch | null | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Aswin01/wav2vec2-large-mms-1b-turkish-colab | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- This 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. -->
# sparse_mistral_7b_refined_web_50p_2024-04-12
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "sparse_mistral_7b_refined_web_50p_2024-04-12", "results": []}]} | thrunlab/sparse_mistral_7b_refined_web_50p_2024-04-12 | null | [
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"autotrain_compatible",
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| sparse\_mistral\_7b\_refined\_web\_50p\_2024-04-12
==================================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2135
Model description
-----------------
More information ... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | dallonf/ppo-Huggy | null | [
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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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. -->
# XLS-R-SWAHILI-ASR-CV-14-1B
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_14_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-1b", "model-index": [{"name": "XLS-R-SWAHILI-ASR-CV-14-1B", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "... | dmusingu/XLS-R-SWAHILI-ASR-CV-14-1B | null | [
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| XLS-R-SWAHILI-ASR-CV-14-1B
==========================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common\_voice\_14\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: inf
* Wer: 0.2794
* Cer: 0.0903
Model description
-----------------
More information needed... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch"]} | mergekit-community/mergekit-slerp-kxeioog | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference... | null | 2024-04-13T03:57:58+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* arcee-ai/sec-mistral-7b-instru... | [
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