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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-dmae-va-U5-42D
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/g... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-dmae-va-U5-42D", "results": []}]} | Augusto777/vit-base-patch16-224-dmae-va-U5-42D | null | [
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| vit-base-patch16-224-dmae-va-U5-42D
===================================
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0383
* Accuracy: 0.55
Model description
-----------------
More information needed
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin61 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ZachX/UltraMerge-v2-7B | null | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# led-pubmed-20k-4096
This model is a fine-tuned version of [pszemraj/led-base-book-summary](https://huggingface.co/pszemraj/led-b... | {"license": "bsd-3-clause", "tags": ["generated_from_trainer"], "base_model": "pszemraj/led-base-book-summary", "model-index": [{"name": "led-pubmed-20k-4096", "results": []}]} | Chung-Fan/led-pubmed-20k-4096 | null | [
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| led-pubmed-20k-4096
===================
This model is a fine-tuned version of pszemraj/led-base-book-summary on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1066
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
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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. -->
# phi-2-ipo-renew1
This model is a fine-tuned version of [lole25/phi-2-sft-ultrachat-lora](https://huggingface.co/lole25/phi-2-sft... | {"license": "mit", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-ipo-renew1", "results": []}]} | DUAL-GPO-2/phi-2-ipo-renew1 | null | [
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| phi-2-ipo-renew1
================
This model is a fine-tuned version of lole25/phi-2-sft-ultrachat-lora on the HuggingFaceH4/ultrafeedback\_binarized dataset.
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* Loss: 2028.0933
* Rewards/chosen: -0.1243
* Rewards/rejected: -0.2158
* Rewards/accuracies: 0.6900... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# jfforero/distilbert-base-uncased-BERT-POET
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dist... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "jfforero/distilbert-base-uncased-BERT-POET", "results": []}]} | jfforero/distilbert-base-uncased-BERT-POET | null | [
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| jfforero/distilbert-base-uncased-BERT-POET
==========================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 5.3153
* Validation Loss: 4.9360
* Epoch: 0
Model description
----------... | [
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null | 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. -->
# augmented_mamba
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "augmented_mamba", "results": []}]} | erostrate9/augmented_mamba | null | [
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| augmented\_mamba
================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3991
* Accuracy: 0.9233
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More infor... | [
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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": []} | HC-85/distilbert-qlora-arxiv-multilabel | null | [
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fill-mask | transformers |
# 5CD-AI/viso-twhin-bert-large
## Overview
<!-- Provide a quick summary of what the model is/does. -->
We reduce TwHIN-BERT's vocabulary size to 20k on the UIT dataset and continue pretraining for 10 epochs.
Here are the results on 4 downstream tasks on Vietnamese social media texts, including Emotion Recognition(UIT... | {"library_name": "transformers", "tags": [], "pipeline_tag": "fill-mask", "widget": [{"text": "shop l\u00e0m \u0103n nh\u01b0 c\u00e1i <mask>"}, {"text": "hag t\u1eeb Qu\u1ea3ng <mask> k\u1ef1c n\u00e9t"}, {"text": "Set xinh qu\u00e1, <mask> b\u00e8o nh\u00e8o"}, {"text": "\u0111\u00fang nh\u1eadn sai <mask>"}]} | 5CD-AI/viso-twhin-bert-large | null | [
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| 5CD-AI/viso-twhin-bert-large
============================
Overview
--------
We reduce TwHIN-BERT's vocabulary size to 20k on the UIT dataset and continue pretraining for 10 epochs.
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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": []} | 12thD/I-SOLAR-10.7B-dpo-sft-v0.2 | null | [
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text-generation | null |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-70B-GGUF | null | [
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-19T02:51:36+00:00 | [] | [
"en"
] | TAGS
#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see... | [
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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. -->
# augmented_distillbert
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbe... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "augmented_distillbert", "results": []}]} | erostrate9/augmented_distillbert | null | [
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"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T02:53:19+00:00 | [] | [] | TAGS
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| augmented\_distillbert
======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4493
* Accuracy: 0.9195
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_ratio:... | [
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text-generation | null |
# Quant Infos
## Includes latest bpe tokenizer fixes 🎉
- Updated for latest bpe pre-tokenizer fixes https://github.com/ggerganov/llama.cpp/pull/6920
- quants done with an importance matrix for improved quantization loss
- K & IQ quants in basically all variants from Q6_K down to IQ1_S
- fixed end token for instruct... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama.cpp", "gguf", "imatrix", "importance matrix"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | qwp4w3hyb/Meta-Llama-3-8B-Instruct-iMat-GGUF | null | [
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"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
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| Quant Infos
===========
Includes latest bpe tokenizer fixes
-----------------------------------
* Updated for latest bpe pre-tokenizer fixes URL
* quants done with an importance matrix for improved quantization loss
* K & IQ quants in basically all variants from Q6\_K down to IQ1\_S
* fixed end token for instruct m... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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text-generation | transformers |
# NikolayKozloff/fr.brain.carotte-7B-Q8_0-GGUF
This model was converted to GGUF format from [`lbl/fr.brain.carotte-7B`](https://huggingface.co/lbl/fr.brain.carotte-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:/... | {"language": ["fr", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | NikolayKozloff/fr.brain.carotte-7B-Q8_0-GGUF | null | [
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"llama-cpp",
"gguf-my-repo",
"text-generation",
"fr",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T02:58:52+00:00 | [] | [
"fr",
"en"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #fr #en #license-apache-2.0 #endpoints_compatible #region-us
|
# NikolayKozloff/URL.carotte-7B-Q8_0-GGUF
This model was converted to GGUF format from 'lbl/URL.carotte-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... | [
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text-generation | transformers |
# Model Card for Merlinite 7b 🔥 [Paper](https://arxiv.org/abs/2403.01081)
### Overview
### Performance
| Model | Alignment | Base | Teacher | MT... | {"language": ["en"], "license": "apache-2.0", "tags": ["merlinite", "mistral", "ibm", "lab", "labrador", "labradorite"], "pipeline_tag": "text-generation", "base_model": "mistralai/Mistral-7B-v0.1"} | instructlab/merlinite-7b-lab | null | [
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| Model Card for Merlinite 7b Paper
=================================
### Overview
!Screenshot 2024-02-22 at 11.26.13 URL
### Performance
[\*] Numbers for models other than Merlinite-7b and Labradorite-13b (ours) are taken from lmsys/chatbot-arena-leaderboard
[] Numbers taken from MistralAI Release Blog
### ... | [
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"### Method\n\n\nLAB: Large-scale Alignment for chatB... | [
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null | transformers |
# Merlinite 7b - GGUF
4-bit quantized version of [instructlab/merlinite-7b-lab](https://huggingface.co/instructlab/merlinite-7b-lab) | {"language": ["en"], "license": "apache-2.0", "tags": ["merlinite", "mistral", "ibm", "lab", "labrador", "labradorite"], "base_model": "instructlab/merlinite-7b-lab", "quantized_by": "IBM Research"} | instructlab/merlinite-7b-lab-GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T03:00:27+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mistral #merlinite #ibm #lab #labrador #labradorite #en #base_model-instructlab/merlinite-7b-lab #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us
|
# Merlinite 7b - GGUF
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] |
text-generation | transformers | # Model Card for Granite-7b-lab [Paper](https://arxiv.org/abs/2403.01081)
### Overview
### Performance
| Model | Alignment | Base | Teacher | MTBen... | {"language": ["en"], "license": "apache-2.0", "tags": ["granite", "ibm", "lab", "labrador", "labradorite"], "pipeline_tag": "text-generation", "base_model": "ibm/granite-7b-base"} | instructlab/granite-7b-lab | null | [
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"text-generation-inferenc... | null | 2024-04-19T03:00:44+00:00 | [
"2403.01081"
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] | TAGS
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| Model Card for Granite-7b-lab Paper
===================================
### Overview
!Screenshot 2024-02-22 at 11.26.13 URL
### Performance
[\*] Numbers for models other than Merlinite-7b-lab, Granite-7b-lab and Labradorite-13b are taken from lmsys/chatbot-arena-leaderboard
[] Numbers taken from MistralAI Re... | [
"### Overview\n\n\n!Screenshot 2024-02-22 at 11.26.13 URL",
"### Performance\n\n\n\n[\\*] Numbers for models other than Merlinite-7b-lab, Granite-7b-lab and Labradorite-13b are taken from lmsys/chatbot-arena-leaderboard\n\n\n[] Numbers taken from MistralAI Release Blog",
"### Method\n\n\nLAB: Large-scale Alignm... | [
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text-generation | 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 [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-c... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "NousResearch/Llama-2-7b-chat-hf", "pipeline_tag": "text-generation", "model-index": [{"name": "results", "results": []}]} | AWeirdDev/zh-tw-llama-2 | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"text-generation",
"dataset:generator",
"base_model:NousResearch/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-19T03:00:50+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #text-generation #dataset-generator #base_model-NousResearch/Llama-2-7b-chat-hf #region-us
|
# results
This model is a fine-tuned version of NousResearch/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
### Training hyperparame... | [
"# results\n\nThis model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on the generator dataset.",
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null | transformers |
# Granite 7b - GGUF
4-bit quantized version of [instructlab/granite-7b-lab](https://huggingface.co/instructlab/granite-7b-lab) | {"language": ["en"], "license": "apache-2.0", "tags": ["granite", "ibm", "lab", "labrador", "labradorite"], "base_model": "instructlab/granite-7b-lab", "quantized_by": "IBM Research"} | instructlab/granite-7b-lab-GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T03:00:54+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama #granite #ibm #lab #labrador #labradorite #en #base_model-instructlab/granite-7b-lab #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us
|
# Granite 7b - GGUF
4-bit quantized version of instructlab/granite-7b-lab | [
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] |
text-generation | transformers |
# Clevyby/flammen19X-mistral-7B-Q5_K_S-GGUF
This model was converted to GGUF format from [`flammenai/flammen19X-mistral-7B`](https://huggingface.co/flammenai/flammen19X-mistral-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 ... | {"library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | Clevyby/flammen19X-mistral-7B-Q5_K_S-GGUF | null | [
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#transformers #gguf #mistral #text-generation #llama-cpp #gguf-my-repo #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Clevyby/flammen19X-mistral-7B-Q5_K_S-GGUF
This model was converted to GGUF format from 'flammenai/flammen19X-mistral-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### Note:
The additional files in this GGUF repo is for personal usage using Text Gen W... | [
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fill-mask | transformers |
# 5CD-AI/visobert-14gb-corpus
## Overview
<!-- Provide a quick summary of what the model is/does. -->
We continually pretrain `uitnlp/visobert` on a merged 14GB dataset, the training dataset includes:
- Internal data (100M comments and 15M posts on Facebook)
- UIT data, which is used to pretrain `uitnlp/visobert`
- MC... | {"library_name": "transformers", "tags": [], "pipeline_tag": "fill-mask", "widget": [{"text": "shop l\u00e0m \u0103n nh\u01b0 c\u00e1i <mask>"}, {"text": "hag t\u1eeb Qu\u1ea3ng <mask> k\u1ef1c n\u00e9t"}, {"text": "Set xinh qu\u00e1, <mask> b\u00e8o nh\u00e8o"}, {"text": "\u0103n n\u00f3i x\u00e0 <mask>"}]} | 5CD-AI/visobert-14gb-corpus | null | [
"transformers",
"safetensors",
"xlm-roberta",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T03:01:37+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| 5CD-AI/visobert-14gb-corpus
===========================
Overview
--------
We continually pretrain 'uitnlp/visobert' on a merged 14GB dataset, the training dataset includes:
* Internal data (100M comments and 15M posts on Facebook)
* UIT data, which is used to pretrain 'uitnlp/visobert'
* MC4 ecommerce
Here are ... | [] | [
"TAGS\n#transformers #safetensors #xlm-roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
30
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] |
text-generation | transformers |
*There currently is an issue with the **model generating random reserved special tokens (like "<|reserved_special_token_49|>") at the end**. Please use with `skip_special_tokens=true`. We will update once we found the reason for this behaviour. If you found a solution, please let us know!*
# Llama 3 DiscoLM German 8b... | {"library_name": "transformers", "tags": []} | DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experimental | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T03:02:32+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
*There currently is an issue with the model generating random reserved special tokens (like "<|reserved_special_token_49|>") at the end. Please use with 'skip_special_tokens=true'. We will update once we found the reason for this behaviour. If you found a solution, please let us know!*
# Llama 3 DiscoLM German 8b v0.... | [
"# Llama 3 DiscoLM German 8b v0.1 Experimental\n\n<p align=\"center\"><img src=\"disco_llama.webp\" width=\"400\"></p>",
"# Introduction\n\nLlama 3 DiscoLM German 8b v0.1 Experimental is an experimental Llama 3 based version of DiscoLM German.\n\nThis is an experimental release and not intended for production use... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | archangel268/autotrain-kbwyx-5jxtc | null | [
"transformers",
"tensorboard",
"safetensors",
"autotrain",
"text-generation-inference",
"text-generation",
"peft",
"conversational",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-19T03:03:39+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #has_space #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
text-generation | transformers |
# NikolayKozloff/Mistral-portuguese-luana-7b-Mathematics-Q8_0-GGUF
This model was converted to GGUF format from [`rhaymison/Mistral-portuguese-luana-7b-Mathematics`](https://huggingface.co/rhaymison/Mistral-portuguese-luana-7b-Mathematics) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["portuguese", "math", "mathematics", "matematica", "llama-cpp", "gguf-my-repo"], "datasets": ["rhaymison/orca-math-portuguese-64k"], "base_model": "rhaymison/Mistral-portuguese-luana-7b", "pipeline_tag": "text-generation", "model-ind... | NikolayKozloff/Mistral-portuguese-luana-7b-Mathematics-GGUF | null | [
"transformers",
"gguf",
"portuguese",
"math",
"mathematics",
"matematica",
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"gguf-my-repo",
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"base_model:rhaymison/Mistral-portuguese-luana-7b",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
... | null | 2024-04-19T03:03:41+00:00 | [] | [
"pt"
] | TAGS
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|
# NikolayKozloff/Mistral-portuguese-luana-7b-Mathematics-Q8_0-GGUF
This model was converted to GGUF format from 'rhaymison/Mistral-portuguese-luana-7b-Mathematics' 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.
In... | [
"# NikolayKozloff/Mistral-portuguese-luana-7b-Mathematics-Q8_0-GGUF\nThis model was converted to GGUF format from 'rhaymison/Mistral-portuguese-luana-7b-Mathematics' 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 throu... | [
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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. -->
# electra-distilled-sst
This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/e... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/electra-small-discriminator", "model-index": [{"name": "electra-distilled-sst", "results": []}]} | kasohrab/electra-distilled-sst | null | [
"transformers",
"tensorboard",
"safetensors",
"electra",
"text-classification",
"generated_from_trainer",
"base_model:google/electra-small-discriminator",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T03:06:12+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #electra #text-classification #generated_from_trainer #base_model-google/electra-small-discriminator #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| electra-distilled-sst
=====================
This model is a fine-tuned version of google/electra-small-discriminator on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3772
* Accuracy: 0.9174
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4.854751380955516e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 33\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs:... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | Rudolph314/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-19T03:07:14+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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text-generation | transformers | # LYNN - AI for Roleplay
<img src="./reallynn.png" alt="it's lynn!" width="340"/>
> [!TIP]
> This model is overfitted to the role-playing dataset; normal conversations may not work well.
# Soliloquy-L3
Soliloquy-L3 is a fast, highly capable roleplaying model designed for immersive, dynamic experiences. Trained on o... | {"language": ["en"], "license": "cc-by-nc-sa-4.0"} | openlynn/Llama-3-Soliloquy-8B-v1 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"en",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T03:11:31+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #conversational #en #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| LYNN - AI for Roleplay
======================
>
> [!TIP]
> This model is overfitted to the role-playing dataset; normal conversations may not work well.
>
>
>
Soliloquy-L3
============
Soliloquy-L3 is a fast, highly capable roleplaying model designed for immersive, dynamic experiences. T... | [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #en #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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] |
fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# jfforero/distilbert-base-uncased-BERT-POET2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "jfforero/distilbert-base-uncased-BERT-POET2", "results": []}]} | jfforero/distilbert-base-uncased-BERT-POET2 | null | [
"transformers",
"tf",
"distilbert",
"fill-mask",
"generated_from_keras_callback",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T03:12:08+00:00 | [] | [] | TAGS
#transformers #tf #distilbert #fill-mask #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| jfforero/distilbert-base-uncased-BERT-POET2
===========================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 5.1534
* Validation Loss: 5.9706
* Epoch: 0
Model description
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'transformers.optimization\\_tf', 'class\\_name': 'WarmUp', 'config': {'initial\\_learning\\_rate': 2e-05, 'decay\\_schedule\\_fn': {'module': 'kera... | [
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text-generation | transformers |
# Clevyby/Silicon-Alice-7B-Q5_K_S-GGUF
This model was converted to GGUF format from [`LakoMoor/Silicon-Alice-7B`](https://huggingface.co/LakoMoor/Silicon-Alice-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://hug... | {"language": ["en", "ru"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw", "llama-cpp", "gguf-my-repo"], "model_name": "Silicon-Alice-7B", "base_model": ["LakoMoor/Silicon-Masha-7B"], "inference": false, "model_creator": "LakoMoor", "model_type": "mistral"} | Clevyby/Silicon-Alice-7B-Q5_K_S-GGUF | null | [
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"mistral",
"text-generation",
"not-for-all-audiences",
"nsfw",
"llama-cpp",
"gguf-my-repo",
"en",
"ru",
"base_model:LakoMoor/Silicon-Masha-7B",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T03:17:09+00:00 | [] | [
"en",
"ru"
] | TAGS
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|
# Clevyby/Silicon-Alice-7B-Q5_K_S-GGUF
This model was converted to GGUF format from 'LakoMoor/Silicon-Alice-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### Note:
The additional files in this GGUF repo is for personal usage using Text Gen Webui with l... | [
"# Clevyby/Silicon-Alice-7B-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'LakoMoor/Silicon-Alice-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"### Note: \nThe additional files in this GGUF repo is for personal usage using Text Gen ... | [
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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. -->
# tapt_helpfulness_base_pretraining_no_condencing
This model is a fine-tuned version of [roberta-base](https://huggingface.co/robe... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "tapt_helpfulness_base_pretraining_no_condencing", "results": []}]} | ltuzova/tapt_helpfulness_base_pretraining_no_condencing | null | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T03:18:52+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #fill-mask #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us
| tapt\_helpfulness\_base\_pretraining\_no\_condencing
====================================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3379
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 64\n* seed: 42\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 1024\n* optimizer: Adam with betas=(0.9,0.98) and epsi... | [
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [deepse... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["deepseek-ai/deepseek-math-7b-rl"]} | Thermostatic/deepseek-math-10.8b-rl | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* deepseek-ai/deepseek-math-7b-rl
### Configuration
The following YAML configura... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# jfforero/distilbert-base-uncased-BERT-POET3
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "jfforero/distilbert-base-uncased-BERT-POET3", "results": []}]} | jfforero/distilbert-base-uncased-BERT-POET3 | null | [
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| jfforero/distilbert-base-uncased-BERT-POET3
===========================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 5.1503
* Validation Loss: 5.1975
* Epoch: 0
Model description
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'transformers.optimization\\_tf', 'class\\_name': 'WarmUp', 'config': {'initial\\_learning\\_rate': 2e-05, 'decay\\_schedule\\_fn': {'module': 'kera... | [
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null | transformers |
# Uploaded model
- **Developed by:** jsfs11
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | jsfs11/alpaca3qloratest | null | [
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|
# Uploaded model
- Developed by: jsfs11
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert2bert-abs-final-lr-5e-05-encmaxlen-512-decmaxlen-256
This model is a fine-tuned version of [](https://huggingface.co/) on th... | {"tags": ["generated_from_trainer"], "datasets": ["id_liputan6"], "model-index": [{"name": "bert2bert-abs-final-lr-5e-05-encmaxlen-512-decmaxlen-256", "results": []}]} | Alfahluzi/bert2bert-model3 | null | [
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|
# bert2bert-abs-final-lr-5e-05-encmaxlen-512-decmaxlen-256
This model is a fine-tuned version of [](URL on the id_liputan6 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.876
- R1 Precision: 0.2907
- R1 Recall: 0.3519
- R1 Fmeasure: 0.3149
- R2 Precision: 0.1166
- R2 Recall: 0.1408
- R2 ... | [
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text-generation | transformers |
# Clevyby/Silicon-Masha-7B-Q5_K_S-GGUF
This model was converted to GGUF format from [`LakoMoor/Silicon-Masha-7B`](https://huggingface.co/LakoMoor/Silicon-Masha-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://hug... | {"language": ["en", "ru"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw", "llama-cpp", "gguf-my-repo"], "model_name": "Silicon-Masha-7B", "base_model": ["mistralai/Mistral-7B-v0.1"], "inference": false, "model_creator": "LakoMoor", "model_type": "mistral"} | Clevyby/Silicon-Masha-7B-Q5_K_S-GGUF | null | [
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|
# Clevyby/Silicon-Masha-7B-Q5_K_S-GGUF
This model was converted to GGUF format from 'LakoMoor/Silicon-Masha-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### Note:
The additional files in this GGUF repo is for personal usage using Text Gen Webui with ll... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_pepe_6.0 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Full Parameter Finetuning 8B 8192 context length Llama 3 on Malaysian text 9.5B tokens
README at https://github.com/huseinzol05/malaya/tree/master/session/llama3
Data preparation at https://github.com/malaysia-ai/dedup-text-dataset/tree/main/llama-3
WandB, https://wandb.ai/huseinzol05/finetune-llama-3-8b/workspac... | {"language": ["ms"]} | mesolitica/llama-3-8b-8192-hf | null | [
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# Full Parameter Finetuning 8B 8192 context length Llama 3 on Malaysian text 9.5B tokens
README at 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. -->
# robust_llm_pythia-14m_ian-022_PasswordMatch_n-its-25
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggi... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_ian-022_PasswordMatch_n-its-25", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_ian-022_PasswordMatch_n-its-25 | null | [
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] | null | 2024-04-19T03:33:00+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-14m_ian-022_PasswordMatch_n-its-25
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | 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. -->
# llava_bakllava_7b_v2_8192
This model is a fine-tuned version of [llava-hf/bakLlava-v1-hf](https://huggingface.co/llava-hf/bakLla... | {"tags": ["generated_from_trainer"], "base_model": "llava-hf/bakLlava-v1-hf", "model-index": [{"name": "llava_bakllava_7b_v2_8192", "results": []}]} | MFuyu/llava_bakllava_7b_v2_8192 | null | [
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] | null | 2024-04-19T03:33:38+00:00 | [] | [] | TAGS
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|
# llava_bakllava_7b_v2_8192
This model is a fine-tuned version of llava-hf/bakLlava-v1-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistralv1_spectral_r8_25e5_e2
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_spectral_r8_25e5_e2", "results": []}]} | fangzhaoz/mistralv1_spectral_r8_25e5_e2 | null | [
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# mistralv1_spectral_r8_25e5_e2
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# my-test-model
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This model was trained from scratch on an unknown dataset.
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More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# robust_llm_pythia-70m_ian-022_PasswordMatch_n-its-25
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_ian-022_PasswordMatch_n-its-25", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_ian-022_PasswordMatch_n-its-25 | null | [
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This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
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More information needed
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More information needed
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More information needed
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fill-mask | transformers |
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Sailor-1.8B-chatml
This model is a fine-tuned version of [sail/Sailor-1.8B](https://huggingface.co/sail/Sailor-1.8B) on the gene... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "sail/Sailor-1.8B", "model-index": [{"name": "Sailor-1.8B-chatml", "results": []}]} | DuongTrongChi/Sailor-1.8B-chatml | null | [
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# Sailor-1.8B-chatml
This model is a fine-tuned version of sail/Sailor-1.8B on the generator dataset.
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More information needed
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More information needed
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null | transformers |
# Model Card for Model ID
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<!-- Provide a longer summary of what this model is. -->
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text-generation | null |
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=============================
Original Model
--------------
meta-llama/Meta-Llama-3-8B-Instruct
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object-detection | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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feature-extraction | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned_bge_ver21
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null | null | # Introduction
Models in this repo are converted from
https://github.com/RicherMans/CED
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text-generation | transformers |
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<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # Introduction
Models in this repo are converted from
https://github.com/RicherMans/CED
| {} | k2-fsa/sherpa-onnx-ced-mini-audio-tagging-2024-04-19 | null | [
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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. -->
# fineturning-with-pretraining-3
This model is a fine-tuned version of [Aviral2412/mini_model](https://huggingface.co/Aviral2412/m... | {"tags": ["generated_from_trainer"], "datasets": ["common_voice_1_0"], "metrics": ["wer"], "base_model": "Aviral2412/mini_model", "model-index": [{"name": "fineturning-with-pretraining-3", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_... | Aviral2412/fineturning-with-pretraining-3 | null | [
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| fineturning-with-pretraining-3
==============================
This model is a fine-tuned version of Aviral2412/mini\_model on the common\_voice\_1\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9160
* Wer: 1.0000
Model description
-----------------
More information needed
Inten... | [
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fill-mask | 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": []} | emma7897/distilbert_one | 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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- Model type:
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text-generation | null |
# Nimue 8B
There is a new training script for this release.
The responses are shorter in the "improved" datasets.
## Prompt format
The model was trained on a *zero-shot* Alpaca instruction format:
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Ins... | {"language": ["en"], "license": "other", "tags": ["causal-lm", "llama-3"], "datasets": ["athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "allenai/UNcommonsense", "ClericalAid/roleplay-scripts", "fnlp/character-llm-data", "IlyaGusev/pippa_scored"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link":... | twodgirl/Nimue-8B | null | [
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|
# Nimue 8B
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The responses are shorter in the "improved" datasets.
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text-generation | transformers | AI Model Name: Llama 3 8B "Built with Meta Llama 3" https://llama.meta.com/llama3/license/
This is the result of running AutoAWQ to quantize the LLaMA-3 8B model to ~4 bits/parameter.
To launch an OpenAI-compatible API endpoint on your Linux server:
```
git lfs install
git clone https://huggingface.co/catid/cat-llam... | {} | catid/cat-llama-3-8b-awq-q128-w4-gemm | null | [
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| AI Model Name: Llama 3 8B "Built with Meta Llama 3" URL
This is the result of running AutoAWQ to quantize the LLaMA-3 8B model to ~4 bits/parameter.
To launch an OpenAI-compatible API endpoint on your Linux server:
To use 2 GPUs add '--tensor-parallel-size 2 --gpu-memory-utilization 0.95':
My personal TextWorld... | [] | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flant-t5-base-function-calling-v2
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flant-t5-base-function-calling-v2", "results": []}]} | jrcastropy/flan-t5-base-query-extraction-v2 | null | [
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| flant-t5-base-function-calling-v2
=================================
This model is a fine-tuned version of google/flan-t5-base on a Custom made Function Calling dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0000
* Rouge1: 58.4419
* Rouge2: 51.6603
* Rougel: 58.4402
* Rougelsum: 58.4419
... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | sritharansk/my_awesome_qa_model | null | [
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| my\_awesome\_qa\_model
======================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5822
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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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. -->
# llama-3-8b-it-fr
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/M... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "llama-3-8b-it-fr", "results": []}]} | 1rsh/llama-3-8b-it-fr | null | [
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"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
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|
# llama-3-8b-it-fr
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swiftformer-xs-dmae-va-U5-42C
This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftf... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MBZUAI/swiftformer-xs", "model-index": [{"name": "swiftformer-xs-dmae-va-U5-42C", "results": []}]} | Augusto777/swiftformer-xs-dmae-va-U5-80C | null | [
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| swiftformer-xs-dmae-va-U5-42C
=============================
This model is a fine-tuned version of MBZUAI/swiftformer-xs on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6744
* Accuracy: 0.8167
Model description
-----------------
More information needed
Intended uses & ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc37 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://www.astronomer.io/logo/astronomer-logo-RGB-standard-1200px.png" alt="Astronomer" style="width: 60%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="margin-top: 1.0em; margin-bott... | {"license": "other", "tags": ["llama", "llama-3", "facebook", "meta", "astronomer", "gptq", "pretrained", "quantized", "finetuned", "autotrain_compatible", "endpoints_compatible"], "datasets": ["wikitext"], "model_name": "Meta-Llama-3-8B-Instruct", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "inference": false... | astronomer/Llama-3-8B-Instruct-GPTQ-8-Bit | null | [
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This model is generously created and made open source by [Astronomer](URL).
Astronomer is the de facto company for [Llama-3-8B-Instruct-GPTQ-8-Bit
==============================
* Original Model creator: Meta Llama from Meta
* Original model: meta-llama/Meta-Llama-3-8B-Instruct
* Built with Meta Ll... | [
"### Prompt Template",
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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. -->
# hubert_classifier_arabic
This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hube... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/hubert-base-ls960", "model-index": [{"name": "hubert_classifier_arabic", "results": []}]} | fydhfzh/hubert_classifier_arabic | null | [
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#transformers #pytorch #hubert #audio-classification #generated_from_trainer #base_model-facebook/hubert-base-ls960 #license-apache-2.0 #endpoints_compatible #region-us
| hubert\_classifier\_arabic
==========================
This model is a fine-tuned version of facebook/hubert-base-ls960 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2809
* Accuracy: 0.3852
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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question-answering | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-Alpaca-Finetuned
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/T... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["tatsu-lab/alpaca"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "pipeline_tag": "question-answering", "model-index": [{"name": "Mistral-Alpaca-Finetuned", "results": []}]} | karthiksagarn/Mistral-Alpaca-Finetuned | null | [
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"license:apache-2.0",
"region:us"
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|
# Mistral-Alpaca-Finetuned
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the tatsu-lab/alpaca dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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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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"1910.09700"
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text2text-generation | null | Here is an example of how to use this model: https://github.com/LJ-Hao/MLC-LLM-on-Jetson
>Note: This model only support Jetson Containers with MLC: https://github.com/dusty-nv/jetson-containers
```
from mlc_chat import ChatModule
from mlc_chat.callback import StreamToStdout
def run():
cm = ChatModule(
mod... | {"license": "mit", "pipeline_tag": "text2text-generation"} | JiahaoLi/llama2-7b-MLC-q4f16-jetson-containers | null | [
"text2text-generation",
"license:mit",
"region:us"
] | null | 2024-04-19T04:18:16+00:00 | [] | [] | TAGS
#text2text-generation #license-mit #region-us
| Here is an example of how to use this model: URL
>Note: This model only support Jetson Containers with MLC: URL
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | nuggi/sql-classification-llama-2-7b-test | null | [
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#peft #pytorch #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
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- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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text-generation | transformers | This is the first version of upscaling llama-3. Version 2 is now out and does not have any of the issues that this version has. Please use version 2 instead. Linked bellow:
- https://huggingface.co/Replete-AI/Llama-3-11.5B-v2
__________________________________________________________________
Llama-3-13B
Thank you to ... | {"license": "other", "library_name": "transformers", "base_model": [], "license_name": "llama-3", "license_link": "https://llama.meta.com/llama3/license/", "thumbnail": "https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/aJJxKus1wP5N-euvHEUq7.png"} | Replete-AI/Llama-3-13B | null | [
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"conversational",
"license:other",
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"region:us"
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#transformers #safetensors #llama #text-generation #conversational #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| This is the first version of upscaling llama-3. Version 2 is now out and does not have any of the issues that this version has. Please use version 2 instead. Linked bellow:
* URL
---
Llama-3-13B
Thank you to Meta for the weights for Meta-Llama-3-8B
!image/png
This is an upscaling of the Llama-3-8B Ai usin... | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-31m_ian-022_PasswordMatch_n-its-25
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggi... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_ian-022_PasswordMatch_n-its-25", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_ian-022_PasswordMatch_n-its-25 | null | [
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"base_model:EleutherAI/pythia-31m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T04:20:26+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-31m_ian-022_PasswordMatch_n-its-25
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
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"## Intended uses & limitations\n\nMore information needed",
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null | transformers |
# Clevyby/NSM-alpha-7B-Q5_K_S-GGUF
This model was converted to GGUF format from [`Nitral-AI/NSM-alpha-7B`](https://huggingface.co/Nitral-AI/NSM-alpha-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... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["Nitral-AI/Eris_PrimeV3.05-Vision-7B", "Nitral-AI/Nyanade_Stunna-Maid-7B"]} | Clevyby/NSM-alpha-7B-Q5_K_S-GGUF | null | [
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"base_model:Nitral-AI/Nyanade_Stunna-Maid-7B",
"endpoints_compatible",
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] | null | 2024-04-19T04:22:03+00:00 | [] | [] | TAGS
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|
# Clevyby/NSM-alpha-7B-Q5_K_S-GGUF
This model was converted to GGUF format from 'Nitral-AI/NSM-alpha-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model. | [
"# Clevyby/NSM-alpha-7B-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'Nitral-AI/NSM-alpha-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model."
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swinv2-tiny-patch4-window8-256-dmae-va-U5-42B
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/swinv2-tiny-patch4-window8-256", "model-index": [{"name": "swinv2-tiny-patch4-window8-256-dmae-va-U5-42B", "results": []}]} | Augusto777/swinv2-tiny-patch4-window8-256-dmae-va-U5-42B | null | [
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"autotrain_compatible",
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| swinv2-tiny-patch4-window8-256-dmae-va-U5-42B
=============================================
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9637
* Accuracy: 0.6667
Model description
-----------... | [
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null | transformers |
# Clevyby/NSM-delta-7B-Q5_K_S-GGUF
This model was converted to GGUF format from [`Nitral-AI/NSM-delta-7B`](https://huggingface.co/Nitral-AI/NSM-delta-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... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["ResplendentAI/Aura_v2_7B", "Nitral-AI/NSM-alpha-7B"]} | Clevyby/NSM-delta-7B-Q5_K_S-GGUF | null | [
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|
# Clevyby/NSM-delta-7B-Q5_K_S-GGUF
This model was converted to GGUF format from 'Nitral-AI/NSM-delta-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model. | [
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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. -->
# mistral-reward
This model is a fine-tuned version of [damienbenveniste/mistral-supervised](https://huggingface.co/damienbenvenis... | {"tags": ["generated_from_trainer"], "base_model": "damienbenveniste/mistral-supervised", "model-index": [{"name": "mistral-reward", "results": []}]} | damienbenveniste/mistral-reward | null | [
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|
# mistral-reward
This model is a fine-tuned version of damienbenveniste/mistral-supervised on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
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text-generation | transformers |
# Clevyby/Nyan-Stunna-7B-Q5_K_S-GGUF
This model was converted to GGUF format from [`Nitral-AI/Nyan-Stunna-7B`](https://huggingface.co/Nitral-AI/Nyan-Stunna-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://hugging... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["arlineka/KittyNyanster-v1", "Nitral-AI/KukulStanta-7B"]} | Clevyby/Nyan-Stunna-7B-Q5_K_S-GGUF | null | [
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|
# Clevyby/Nyan-Stunna-7B-Q5_K_S-GGUF
This model was converted to GGUF format from 'Nitral-AI/Nyan-Stunna-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### Note:
The additional files in this repo is for personal usage using Text Gen Webui with llamacpp... | [
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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": []} | OwOOwO/dumbo-krillin62 | null | [
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|
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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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | AI Model Name: Llama 3 70B "Built with Meta Llama 3" https://llama.meta.com/llama3/license/
This is the result of running AutoAWQ to quantize the LLaMA-3 70B model to ~4 bits/parameter.
To launch an OpenAI-compatible API endpoint on your Linux server with 2x 3090 or 4090 GPUs:
```
git lfs install
git clone https://h... | {} | catid/cat-llama-3-70b-awq-q128-w4-gemm | null | [
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| AI Model Name: Llama 3 70B "Built with Meta Llama 3" URL
This is the result of running AutoAWQ to quantize the LLaMA-3 70B model to ~4 bits/parameter.
To launch an OpenAI-compatible API endpoint on your Linux server with 2x 3090 or 4090 GPUs:
Sadly this *barely* doesn't fit by ~300MB or so. | [] | [
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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. -->
# gpt-neo-1.3B_LAMA_TREx_finetuning_MAGNET
This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-1.3B", "model-index": [{"name": "gpt-neo-1.3B_LAMA_TREx_finetuning_MAGNET", "results": []}]} | KimByeongSu/gpt-neo-1.3B_LAMA_TREx_finetuning_MAGNET | null | [
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#transformers #pytorch #gpt_neo #text-generation #generated_from_trainer #base_model-EleutherAI/gpt-neo-1.3B #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# gpt-neo-1.3B_LAMA_TREx_finetuning_MAGNET
This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
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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": []} | GalaganKV/Mistral-7B-Instruct-v0.2-MultiTask-v6 | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-sft-full
This model is a fine-tuned version of [imone/Mistral_7B_with_EOT_token](https://huggingface.co/imone/Mistral_... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "imone/Mistral_7B_with_EOT_token", "model-index": [{"name": "zephyr-7b-sft-full", "results": []}]} | RikkiXu/zephyr-7b-sft-full | null | [
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| zephyr-7b-sft-full
==================
This model is a fine-tuned version of imone/Mistral\_7B\_with\_EOT\_token on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9067
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/allknowingroger/WestLakeLaser-12B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/PrometheusLaser-7B-slerp", "senseable/WestLake-7B-v2"], "base_model": "allknowingroger/WestLakeLaser-12B-MoE", "quantized_by": "mradermacher"} | mradermacher/WestLakeLaser-12B-MoE-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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null | transformers |
# Uploaded model
- **Developed by:** lilyyellow
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | lilyyellow/unsloth-mistral-7b-bnb-4bit-sft-add-start-end-index-epoch-2 | null | [
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|
# Uploaded model
- Developed by: lilyyellow
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# 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": []} | Iyan/2024-04-19 | null | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.6.0
<Gallery />
## Model descrip... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "prompt": "a picture of [dm-matt-mercer], a dungeon master. backgr... | cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.6.0 | null | [
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# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.6.0
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text-generation | transformers | This is the first version of upscaling llama-3. Version 2 is now out and does not have any of the issues that this version has. Please use version 2 instead. Linked bellow:
- https://huggingface.co/Replete-AI/Llama-3-11.5B-Instruct-v2
__________________________________________________________________
Llama-3-13B-Inst... | {"license": "other", "library_name": "transformers", "base_model": [], "license_name": "llama-3", "license_link": "https://llama.meta.com/llama3/license/"} | Replete-AI/Llama-3-13B-Instruct | null | [
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| This is the first version of upscaling llama-3. Version 2 is now out and does not have any of the issues that this version has. Please use version 2 instead. Linked bellow:
- URL
__________________________________________________________________
Llama-3-13B-Instruct
Thank you to Meta for the weights for Meta-Llama-3... | [] | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep23 | null | [
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text-to-audio | 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": []} | procit001/female_dutch_english_voice_v2 | null | [
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text-generation | transformers |
# Llama-3-Orca-1.0-8B
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
I fine-tuned ... | {"license": "other", "library_name": "transformers", "datasets": ["Open-Orca/SlimOrca-Dedup", "jondurbin/airoboros-3.2", "microsoft/orca-math-word-problems-200k", "m-a-p/Code-Feedback", "MaziyarPanahi/WizardLM_evol_instruct_V2_196k"]} | Locutusque/Llama-3-Orca-1.0-8B | null | [
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# Llama-3-Orca-1.0-8B
!image/png
## Model Details
### Model Description
I fine-tuned llama-3 8B on mainly SlimOrca, along with other datasets to improve performance in math, coding, and writing.
- Developed by: Locutusque
- Model type: Built with Meta Llama 3
- Language(s) (NLP): Many?
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null | null | **KVQuant** is a methodology for efficient KV cache quantization that incorporates several innovations to acheive accurate low-precision quantization,
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**TLDR:** KVQuant addresses the memory bottleneck with long context length inference by quantizing the KV cac... | {} | squeeze-ai-lab/dbrx-base-a4-s1 | null | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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text-generation | transformers |
<!-- header start -->
<p align="center">
<img src="https://i.imgur.com/mNM6Cai.png" width="100%" alt="Friendli Logo">
</p>
<!-- header end -->
# Llama 3 70B - FP8
- Model creator: [Meta Llama 3](https://huggingface.co/meta-llama)
- Original model: [Llama 3 70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B)
... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "model_name": "Llama 3 70B", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreement\" me... | FriendliAI/Meta-Llama-3-70B-fp8 | null | [
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|
Llama 3 70B - FP8
=================
* Model creator: Meta Llama 3
* Original model: Llama 3 70B
Description
-----------
This repo contains the Llama 3 70B model quantized to FP8 by FriendliAI, significantly enhancing its inference efficiency while maintaining high accura... | [
"### Preparing Personal Access Token\n\n\nPAT (Personal Access Token) is the user credential for for logging into our container registry.\n\n\n1. Sign in Friendli Suite.\n2. Go to User Settings > Tokens and click 'Create new token'.\n3. Save your created token value.",
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text-generation | transformers |
<!-- header start -->
<p align="center">
<img src="https://i.imgur.com/mNM6Cai.png" width="100%" alt="Friendli Logo">
</p>
<!-- header end -->
# Llama 3 70B Instruct - FP8
- Model creator: [Meta Llama 3](https://huggingface.co/meta-llama)
- Original model: [Llama 3 70B Instruct](https://huggingface.co/meta-llama/M... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "model_name": "Llama 3 70B Instruct", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agree... | FriendliAI/Meta-Llama-3-70B-Instruct-fp8 | null | [
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] | null | 2024-04-19T04:52:52+00:00 | [] | [
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|
Llama 3 70B Instruct - FP8
==========================
* Model creator: Meta Llama 3
* Original model: Llama 3 70B Instruct
Description
-----------
This repo contains the Llama 3 70B Instruct model quantized to FP8 by FriendliAI, significantly enhancing its inference effi... | [
"### Preparing Personal Access Token\n\n\nPAT (Personal Access Token) is the user credential for for logging into our container registry.\n\n\n1. Sign in Friendli Suite.\n2. Go to User Settings > Tokens and click 'Create new token'.\n3. Save your created token value.",
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | marcus07/ppo-SnowballTarget | null | [
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | axolotl-ai-co/llama-3-8b-chatml | null | [
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"en"
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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text-generation | transformers |
<!-- header start -->
<p align="center">
<img src="https://i.imgur.com/mNM6Cai.png" width="100%" alt="Friendli Logo">
</p>
<!-- header end -->
# Llama 3 8B Instruct - FP8
- Model creator: [Meta Llama 3](https://huggingface.co/meta-llama)
- Original model: [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Met... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "model_name": "Llama 3 8B Instruct", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreem... | FriendliAI/Meta-Llama-3-8B-Instruct-fp8 | null | [
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] | null | 2024-04-19T04:56:43+00:00 | [] | [
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|
Llama 3 8B Instruct - FP8
=========================
* Model creator: Meta Llama 3
* Original model: Llama 3 8B Instruct
Description
-----------
This repo contains the Llama 3 8B Instruct model quantized to FP8 by FriendliAI, significantly enhancing its inference efficien... | [
"### Preparing Personal Access Token\n\n\nPAT (Personal Access Token) is the user credential for for logging into our container registry.\n\n\n1. Sign in Friendli Suite.\n2. Go to User Settings > Tokens and click 'Create new token'.\n3. Save your created token value.",
"### Preparing Container Secret\n\n\nContain... | [
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text-generation | transformers |
<!-- header start -->
<p align="center">
<img src="https://i.imgur.com/mNM6Cai.png" width="100%" alt="Friendli Logo">
</p>
<!-- header end -->
# Llama 3 8B - FP8
- Model creator: [Meta Llama 3](https://huggingface.co/meta-llama)
- Original model: [Llama 3 8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
## ... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "model_name": "Llama 3 8B", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreement\" mea... | FriendliAI/Meta-Llama-3-8B-fp8 | null | [
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|
Llama 3 8B - FP8
================
* Model creator: Meta Llama 3
* Original model: Llama 3 8B
Description
-----------
This repo contains the Llama 3 8B model quantized to FP8 by FriendliAI, significantly enhancing its inference efficiency while maintaining high accuracy.
... | [
"### Preparing Personal Access Token\n\n\nPAT (Personal Access Token) is the user credential for for logging into our container registry.\n\n\n1. Sign in Friendli Suite.\n2. Go to User Settings > Tokens and click 'Create new token'.\n3. Save your created token value.",
"### Preparing Container Secret\n\n\nContain... | [
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null | null | **KVQuant** is a methodology for efficient KV cache quantization that incorporates several innovations to acheive accurate low-precision quantization,
thereby enabling efficient long context length inference.
**TLDR:** KVQuant addresses the memory bottleneck with long context length inference by quantizing the KV cac... | {} | squeeze-ai-lab/dbrx-base-a3-s1 | null | [
"arxiv:2401.18079",
"region:us"
] | null | 2024-04-19T04:59:02+00:00 | [
"2401.18079"
] | [] | TAGS
#arxiv-2401.18079 #region-us
| KVQuant is a methodology for efficient KV cache quantization that incorporates several innovations to acheive accurate low-precision quantization,
thereby enabling efficient long context length inference.
TLDR: KVQuant addresses the memory bottleneck with long context length inference by quantizing the KV cache to lo... | [
"## Model description\n\nQuantizer file for running DBRX with 3-bit KV cache using KVQuant. \n\n* Base Model: DBRX\n* Bitwidth: 3-bit\n* Sparsity Level: 1%",
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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": "state-spaces/mamba-1.4b-hf"} | ChlorophyllChampion/Mamba-1.4b-OpenOrca-downsample-0.01 | null | [
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"base_model:state-spaces/mamba-1.4b-hf",
"region:us"
] | null | 2024-04-19T04:59:39+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-state-spaces/mamba-1.4b-hf #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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