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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. -->
# all-MiniLM-L6-v2-personal-project-default-2024-04-19
This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "sentence-transformers/all-MiniLM-L6-v2", "model-index": [{"name": "all-MiniLM-L6-v2-personal-project-default-2024-04-19", "results": []}]} | brugmark/all-MiniLM-L6-v2-personal-project-default-2024-04-19 | null | [
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|
# all-MiniLM-L6-v2-personal-project-default-2024-04-19
This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 10.7201
- eval_runtime: 3708.4666
- eval_samples_per_second: 8.168
- eval_steps_per_second: 0... | [
"# all-MiniLM-L6-v2-personal-project-default-2024-04-19\n\nThis model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the None dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 10.7201\n- eval_runtime: 3708.4666\n- eval_samples_per_second: 8.168\n- eval_steps_per_... | [
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null | null |
# NikolayKozloff/Mistral-7B-v0.1-Instruct-sft-en-de-Q8_0-GGUF
This model was converted to GGUF format from [`maxidl/Mistral-7B-v0.1-Instruct-sft-en-de`](https://huggingface.co/maxidl/Mistral-7B-v0.1-Instruct-sft-en-de) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo... | {"tags": ["alignment-handbook", "generated_from_trainer", "llama-cpp", "gguf-my-repo"], "datasets": ["maxidl/instruct-en-de"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "Mistral-7B-v0.1-Instruct-sft-en-de", "results": []}]} | NikolayKozloff/Mistral-7B-v0.1-Instruct-sft-en-de-GGUF | null | [
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#gguf #alignment-handbook #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-maxidl/instruct-en-de #base_model-mistralai/Mistral-7B-v0.1 #region-us
|
# NikolayKozloff/Mistral-7B-v0.1-Instruct-sft-en-de-Q8_0-GGUF
This model was converted to GGUF format from 'maxidl/Mistral-7B-v0.1-Instruct-sft-en-de' 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 ... | [
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | birdy654/CHECK_P_MISTRAL | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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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": []} | RobertML/sn6 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# gpt1B_reward_model
This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-1.3b](https://huggingface.co/AI-Sweden-Models... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "AI-Sweden-Models/gpt-sw3-1.3b", "model-index": [{"name": "gpt1B_reward_model", "results": []}]} | thorirhrafn/gpt1B_reward_model | null | [
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#peft #tensorboard #safetensors #trl #reward-trainer #generated_from_trainer #base_model-AI-Sweden-Models/gpt-sw3-1.3b #license-apache-2.0 #region-us
| gpt1B\_reward\_model
====================
This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-1.3b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0078
* Accuracy: 0.9966
Model description
-----------------
More information needed
Intended uses & limitation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
# Llama 3 DreamGen Opus V1
<div style="display: flex; flex-direction: row; align-items: center;">
<img src="/dreamgen/opus-v1.2-llama-3-8b/resolve/main/images/logo-1024.png" alt="model logo" style="
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margin-right: 12px;
margin-top: 0px;
margin-bottom: 0px;
max-width: 100px;
... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "tags": ["unsloth", "axolotl"], "pipeline_tag": "text-generation"} | LoneStriker/opus-v1.2-llama-3-8b-3.0bpw-h6-exl2 | null | [
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|
# Llama 3 DreamGen Opus V1
<div style="display: flex; flex-direction: row; align-items: center;">
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null | transformers |
# Uploaded model
- **Developed by:** saraktareen
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | saraktareen/Gemma_Urdu_Hindi_Bollywood_Songs | null | [
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|
# Uploaded model
- Developed by: saraktareen
- License: apache-2.0
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This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Llama 3 DreamGen Opus V1
<div style="display: flex; flex-direction: row; align-items: center;">
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|
# Llama 3 DreamGen Opus V1
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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. -->
# deberta-v3-base-maftt
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta... | {"language": ["en"], "license": "mit", "tags": ["nycu-112-2-datamining-hw2", "generated_from_trainer"], "datasets": ["DandinPower/review_mergeallfeaturetotext"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-base", "model-index": [{"name": "deberta-v3-base-maftt", "results": [{"task": {"type": "text-clas... | DandinPower/deberta-v3-base-maftt | null | [
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"en"
] | TAGS
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| deberta-v3-base-maftt
=====================
This model is a fine-tuned version of microsoft/deberta-v3-base on the DandinPower/review\_mergeallfeaturetotext dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4616
* Accuracy: 0.6289
* Macro F1: 0.6302
Model description
-----------------
... | [
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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. -->
# UrduSum6
This model is a fine-tuned version of [ahmed0189/mT5-Arabic-text-summarization](https://huggingface.co/ahmed0189/mT5-Ar... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "UrduSum6", "results": []}]} | Alefiah/UrduSum6 | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T13:22:17+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| UrduSum6
========
This model is a fine-tuned version of ahmed0189/mT5-Arabic-text-summarization on the None dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------... | [
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text-generation | transformers |
# Llama 3 DreamGen Opus V1
<div style="display: flex; flex-direction: row; align-items: center;">
<img src="/dreamgen/opus-v1.2-llama-3-8b/resolve/main/images/logo-1024.png" alt="model logo" style="
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margin-right: 12px;
margin-top: 0px;
margin-bottom: 0px;
max-width: 100px;
... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "tags": ["unsloth", "axolotl"], "pipeline_tag": "text-generation"} | LoneStriker/opus-v1.2-llama-3-8b-5.0bpw-h6-exl2 | null | [
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|
# Llama 3 DreamGen Opus V1
<div style="display: flex; flex-direction: row; align-items: center;">
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | UnderstandLing/Llama-3-8B-Instruct-es | null | [
"peft",
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Meta-Llama-3-8B-Instruct #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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | Raul569/oufit_recommender_19_Apr_2024_v2 | 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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- License... | [
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text-generation | null |
Llama.cpp compatible versions of an original [8B model](https://huggingface.co/IlyaGusev/saiga_llama3_8b).
Download one of the versions, for example `model-q4_K.gguf`.
```
wget https://huggingface.co/IlyaGusev/saiga_llama3_8b_gguf/resolve/main/model-q4_K.gguf
```
Download [interact_llama3_llamacpp.py](https://raw.gi... | {"language": ["ru"], "license": "other", "datasets": ["IlyaGusev/saiga_scored"], "inference": false, "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license/"} | IlyaGusev/saiga_llama3_8b_gguf | null | [
"gguf",
"text-generation",
"ru",
"dataset:IlyaGusev/saiga_scored",
"license:other",
"has_space",
"region:us"
] | null | 2024-04-19T13:25:45+00:00 | [] | [
"ru"
] | TAGS
#gguf #text-generation #ru #dataset-IlyaGusev/saiga_scored #license-other #has_space #region-us
|
URL compatible versions of an original 8B model.
Download one of the versions, for example 'model-q4_K.gguf'.
Download interact_llama3_llamacpp.py
How to run:
System requirements:
* 10GB RAM for q8_0 and less for smaller quantizations
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"TAGS\n#gguf #text-generation #ru #dataset-IlyaGusev/saiga_scored #license-other #has_space #region-us \n"
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text-generation | transformers |
# Llama 3 DreamGen Opus V1
<div style="display: flex; flex-direction: row; align-items: center;">
<img src="/dreamgen/opus-v1.2-llama-3-8b/resolve/main/images/logo-1024.png" alt="model logo" style="
border-radius: 12px;
margin-right: 12px;
margin-top: 0px;
margin-bottom: 0px;
max-width: 100px;
... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "tags": ["unsloth", "axolotl"], "pipeline_tag": "text-generation"} | LoneStriker/opus-v1.2-llama-3-8b-6.0bpw-h6-exl2 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-04-19T13:25:56+00:00 | [] | [
"en"
] | TAGS
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|
# Llama 3 DreamGen Opus V1
<div style="display: flex; flex-direction: row; align-items: center;">
<img src="/dreamgen/opus-v1.2-llama-3-8b/resolve/main/images/URL" alt="model logo" style="
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text-generation | transformers | # zephyr-wizard-kuno-royale-BF16-merge-7B
This is an experimental merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). All source model weights are BF16, avoiding issues arising from mixed-precision merges.
Although the zephyr beta and WizardLM 2 7B models are touted as SO... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["grimjim/zephyr-beta-wizardLM-2-merge-7B", "core-3/kuno-royale-v2-7b"], "pipeline_tag": "text-generation", "model-index": [{"name": "grimjim/zephyr-wizard-kuno-royale-BF16-merge-7B", "results": [{"task": {"type": "... | grimjim/zephyr-wizard-kuno-royale-BF16-merge-7B | null | [
"transformers",
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"text-generation",
"mergekit",
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"base_model:grimjim/zephyr-beta-wizardLM-2-merge-7B",
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"license:cc-by-nc-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-gene... | null | 2024-04-19T13:26:00+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-grimjim/zephyr-beta-wizardLM-2-merge-7B #base_model-core-3/kuno-royale-v2-7b #license-cc-by-nc-4.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # zephyr-wizard-kuno-royale-BF16-merge-7B
This is an experimental merge of pre-trained language models created using mergekit. All source model weights are BF16, avoiding issues arising from mixed-precision merges.
Although the zephyr beta and WizardLM 2 7B models are touted as SOTA and can generate varied prose comp... | [
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text-generation | transformers |
# Llama 3 DreamGen Opus V1
<div style="display: flex; flex-direction: row; align-items: center;">
<img src="/dreamgen/opus-v1.2-llama-3-8b/resolve/main/images/logo-1024.png" alt="model logo" style="
border-radius: 12px;
margin-right: 12px;
margin-top: 0px;
margin-bottom: 0px;
max-width: 100px;
... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "tags": ["unsloth", "axolotl"], "pipeline_tag": "text-generation"} | LoneStriker/opus-v1.2-llama-3-8b-8.0bpw-h8-exl2 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-19T13:28:48+00:00 | [] | [
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] | TAGS
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|
# Llama 3 DreamGen Opus V1
<div style="display: flex; flex-direction: row; align-items: center;">
<img src="/dreamgen/opus-v1.2-llama-3-8b/resolve/main/images/URL" alt="model logo" style="
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margin-top: 0px;
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text-generation | transformers |
# Uploaded model
- **Developed by:** coralexbadea
- **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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | coralexbadea/llama3-sql-16bit | null | [
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# Uploaded model
- Developed by: coralexbadea
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Minerva-3B-base-v1.0
Minerva is the first family of **truly-open (data and model) Italian-English LLMs pretrained from scratch** developed by [Sapienza NLP](https://nlp.uniroma1.it)
in collaboration with [Future Artificial Intelligence Research (FAIR)](https://fondazione-fair.it/) and [CINECA](https:/... | {"language": ["it", "en"], "license": "apache-2.0", "tags": ["pretrained"], "datasets": ["uonlp/CulturaX"], "pipeline_tag": "text-generation", "widget": [{"text": "La capitale dell'Italia \u00e8 ", "example_title": "Example 1"}, {"text": "Nel mezzo del cammin di nostra vita ", "example_title": "Example 2"}, {"text": "U... | sapienzanlp/Minerva-3B-base-v1.0 | null | [
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| Model Card for Minerva-3B-base-v1.0
===================================
Minerva is the first family of truly-open (data and model) Italian-English LLMs pretrained from scratch developed by Sapienza NLP
in collaboration with Future Artificial Intelligence Research (FAIR) and CINECA.
Notably, approximately half of its ... | [
"### Special thanks for their support\n\n\n* Giuseppe Fiameni, Nvidia\n* Sergio Orlandini, CINECA\n\n\nAcknowledgments\n---------------\n\n\nThis work was funded by the PNRR MUR project PE0000013-FAIR.\nWe acknowledge the CINECA award \"IscB\\_medit\" under the ISCRA initiative, for the availability of high perform... | [
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text-generation | transformers | llama3 finetuned with domain dataset
via unsloth method. | {} | sosoai/Hansoldeco-llama3-8b-unsloth-v0.1 | null | [
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.3-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparame... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.3-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.3-DPO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.3-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
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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": []} | GladiusTn/llama3_ocr_to_xml_A1 | null | [
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# Model Card for Model ID
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# layoutlmv3-finetuned-cord_100
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutlmv3-finetuned-cord_100", "results": []}]} | trokhmanenko/layoutlmv3-finetuned-cord_100 | null | [
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| layoutlmv3-finetuned-cord\_100
==============================
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6249
* Precision: 0.8764
* Recall: 0.8947
* F1: 0.8854
* Accuracy: 0.8469
Model description
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 500",
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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": "unsloth/llama-3-8b-bnb-4bit"} | sosoai/hansoldeco-llama3-8b-unsloth-lora-v0.1 | 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": []} | heyllm234/sc40 | null | [
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null | mlx |
# sosoai/Hansoldeco-llama3-8b-unsloth-v0.1-mlx
This model was converted to MLX format from [`sosoai/Hansoldeco-llama3-8b-unsloth-v0.1`]() using mlx-lm version **0.9.0**.
Refer to the [original model card](https://huggingface.co/sosoai/Hansoldeco-llama3-8b-unsloth-v0.1) for more details on the model.
## Use with mlx
`... | {"tags": ["mlx"]} | sosoai/Hansoldeco-llama3-8b-unsloth-v0.1-mlx | null | [
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|
# sosoai/Hansoldeco-llama3-8b-unsloth-v0.1-mlx
This model was converted to MLX format from ['sosoai/Hansoldeco-llama3-8b-unsloth-v0.1']() using mlx-lm version 0.9.0.
Refer to the original model card for more details on the model.
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"TAGS\n#mlx #safetensors #llama #region-us \n# sosoai/Hansoldeco-llama3-8b-unsloth-v0.1-mlx\nThis model was converted to MLX format from ['sosoai/Hansoldeco-llama3-8b-unsloth-v0.1']() using mlx-lm version 0.9.0.\nRefer to the original model card for more details on the model.## Use with mlx"
] |
text-to-image | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('shellypeng/EerieOrangeMix2B... | {"license": "mit", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion"], "pipeline_tag": "text-to-image", "inference": true} | shellypeng/test_cheng | null | [
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#diffusers #safetensors #text-to-image #stable-diffusion #license-mit #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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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. -->
# financeLM_outputpath
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2)... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "openai-community/gpt2", "model-index": [{"name": "financeLM_outputpath", "results": []}]} | Supersaiyan1729/financeLM_outputpath | null | [
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| financeLM\_outputpath
=====================
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3037
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": ["llama-factory"]} | vinhtran2611/test_export_model | null | [
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# Model Card for Model ID
## Model Details
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | UnderstandLing/Llama-3-8B-Instruct-fr | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
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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":... | IMENMANSOUR/a2c-PandaReachDense-v3 | null | [
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"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
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#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 |
# 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"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | abhishek/autotrain-llama3-orpo | null | [
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] | null | 2024-04-19T13:48:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #llama #text-generation #autotrain #text-generation-inference #conversational #license-other #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | UnderstandLing/Llama-3-8B-Instruct-de | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Meta-Llama-3-8B-Instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ehsanl/e5-base-bs-chunk-meta | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T13:51:49+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | null |
## Exllama v2 Quantizations of Meta-Llama-3-70B-Instruct
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each bran... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | bartowski/Meta-Llama-3-70B-Instruct-exl2 | null | [
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|
## Exllama v2 Quantizations of Meta-Llama-3-70B-Instruct
Using <a href="URL ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the URL, download one of the other branches for the model (see below)</b>
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | amazingT/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-19T13:52:51+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | transformers |
# Uploaded model
- **Developed by:** MR-Eder
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | MR-Eder/llama3-1000-steps-wiki-de-conversation | null | [
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|
# Uploaded model
- Developed by: MR-Eder
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# falcon7binstructApril19
This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "tiiuae/falcon-7b-instruct", "model-index": [{"name": "falcon7binstructApril19", "results": []}]} | Ray011/falcon7binstructApril19 | null | [
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#peft #safetensors #generated_from_trainer #base_model-tiiuae/falcon-7b-instruct #license-apache-2.0 #region-us
| falcon7binstructApril19
=======================
This model is a fine-tuned version of tiiuae/falcon-7b-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3423
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | idoru/jetmoe-8b-MyRus-kto | null | [
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image-to-3d | diffusers |
This is a copy of [ashawkey/imagedream-ipmv-diffusers](https://huggingface.co/ashawkey/imagedream-ipmv-diffusers).
It is hosted here for persistence throughout the ML for 3D course.
# MVDream-diffusers Model Card
This is a port of https://huggingface.co/Peng-Wang/ImageDream into diffusers.
For usage, please check:... | {"license": "openrail", "pipeline_tag": "image-to-3d"} | dylanebert/imagedream | null | [
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|
This is a copy of ashawkey/imagedream-ipmv-diffusers.
It is hosted here for persistence throughout the ML for 3D course.
# MVDream-diffusers Model Card
This is a port of URL into diffusers.
For usage, please check: URL
## Misuse, Malicious Use, and Out-of-Scope Use
The model should not be used to intentionally c... | [
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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": []} | mani-a-i/mistral-7b-v2-full-model | null | [
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# Model Card for Model ID
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text-generation | transformers |
## Model Card for Model ID
French-Alpaca based on Llama3-8B-Instruct
### Model Description
fine-tuned from the original French-Alpaca-dataset entirely generated with OpenAI GPT-3.5-turbo.
French-Alpaca is... | {"language": ["fr", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama3", "french", "llama-3-8B"], "datasets": ["jpacifico/French-Alpaca-dataset-Instruct-110K"]} | jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 | null | [
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|
## Model Card for Model ID
French-Alpaca based on Llama3-8B-Instruct
!image/jpeg
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
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weighted/imatrix quants of https://huggingface.co/Sao10K/Franziska-Mixtral-v1
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weighted/imatrix quants of URL
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text-generation | transformers |
# Uploaded model
- **Developed by:** MR-Eder
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | MR-Eder/llama3-1000-steps-wiki-de-conversation-merged-16bit-GGUF | null | [
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- License: apache-2.0
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small MR - Chirag Brahme
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whis... | {"language": ["mr"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small MR - Chirag Brahme", "results": [{"task": {"type": "automatic-speech-recognition", "na... | PolyChirag/Marathi_ASR_using_Whisper_Small | null | [
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| Whisper Small MR - Chirag Brahme
================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
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* Loss: 0.2701
* Wer: 45.6837
Model description
-----------------
More information needed
Inte... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-large-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | Lily-Tina/bert-finetuned-ner | null | [
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| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-large-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0546
* Precision: 0.9447
* Recall: 0.9571
* F1: 0.9508
* Accuracy: 0.9880
Model description
-----------------
More information ne... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2-absa-restaurants
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2-absa-restaurants", "results": []}]} | Shakhovak/Mistral-7B-Instruct-v0.2-absa-restaurants | null | [
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| Mistral-7B-Instruct-v0.2-absa-restaurants
=========================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0280
Model description
-----------------
More information needed
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hi000000/insta_upnormal-llama-koen_100 | 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. -->
# UrduSum7
This model is a fine-tuned version of [ahmed0189/mT5-Arabic-text-summarization](https://huggingface.co/ahmed0189/mT5-Ar... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "UrduSum7", "results": []}]} | Alefiah/UrduSum7 | null | [
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| UrduSum7
========
This model is a fine-tuned version of ahmed0189/mT5-Arabic-text-summarization on the None dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------... | [
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text-classification | transformers |
Multi-task fine-tune of `deberta-base-tasksource` for hate detection
| Test Name | Test Accuracy (%) | Test Pearson (%) |
|------------------------------------|-------------------|------------------|
| dynahate | 82.8 | |
| toxic_convers... | {"language": ["en"], "tags": ["toxicity", "hate"], "datasets": ["skg/toxigen-data", "aps/dynahate", "HannahRoseKirk/HatemojiBuild", "mteb-pt/toxic_conversations", "OpenAssistant/oasst2"]} | sileod/deberta-v3-base-tasksource-toxicity | null | [
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| Multi-task fine-tune of 'deberta-base-tasksource' for hate detection
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text-generation | transformers |
This model is randomly initialized, using the config from [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) but with smaller size.
**Note the model is in bfloat16**.
"yujiepan/llama-3-tiny-random" and "yujiepan/meta-llama-3-tiny-random" shares exactly the same files ex... | {"library_name": "transformers", "pipeline_tag": "text-generation", "inference": true, "widget": [{"text": "Hello!", "example_title": "Hello world", "group": "Python"}]} | yujiepan/llama-3-tiny-random | null | [
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Note the model is in bfloat16.
"yujiepan/llama-3-tiny-random" and "yujiepan/meta-llama-3-tiny-random" shares exactly the same files except the repo name.
Codes:
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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": []} | baconnier/CIB_Banker_llama3_Instruct_8B | null | [
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# Model Card for Model ID
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null | peft |
# Model Card for Model ID
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text-to-3d | diffusers |
This is a copy of [ashawkey/mvdream-sd2.1-diffusers](https://huggingface.co/ashawkey/mvdream-sd2.1-diffusers).
It is hosted here for persistence throughout the ML for 3D course.
# MVDream-diffusers Model Card
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For usage, please check: https://... | {"license": "openrail", "pipeline_tag": "text-to-3d"} | dylanebert/mvdream | null | [
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|
This is a copy of ashawkey/mvdream-sd2.1-diffusers.
It is hosted here for persistence throughout the ML for 3D course.
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This is a port of URL into diffusers.
For usage, please check: URL
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | RobertML/sn666 | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | AAA01101312/xlm-roberta-base-finetuned-panx-fr | null | [
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"base_model:xlm-roberta-base",
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#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2730
* F1: 0.8484
Model description
-----------------
More information needed
Intended uses & l... | [
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"### Traini... | [
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null | null |
# Experiment26Meliodaspercival_01_experiment26t3q-7B
Experiment26Meliodaspercival_01_experiment26t3q-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: yam-peleg/... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Experiment26Meliodaspercival_01_experiment26t3q-7B | null | [
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|
# Experiment26Meliodaspercival_01_experiment26t3q-7B
Experiment26Meliodaspercival_01_experiment26t3q-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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] |
null | transformers |
# Uploaded model
- **Developed by:** MR-Eder
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | MR-Eder/llama3-1000-steps-wiki-de-conversation-lora | null | [
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|
# Uploaded model
- Developed by: MR-Eder
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-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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null | transformers |
# Uploaded model
- **Developed by:** coralexbadea
- **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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | coralexbadea/llama3-sql-adapter | null | [
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|
# Uploaded model
- Developed by: coralexbadea
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
- **Developed by:** Shekswess
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
To utilize the fine-tuning of the model, you need to use the gemma instruction prompt template for this medical version of the model:
```
<|start_header_id|>system<|end_header_id|> Answer the ques... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "medical"], "datasets": ["Shekswess/medical_llama3_instruct_dataset_short"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | Shekswess/llama-3-8b-Instruct-bnb-4bit-medical | null | [
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|
- Developed by: Shekswess
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
To utilize the fine-tuning of the model, you need to use the gemma instruction prompt template for this medical version of the model:
Metrics:
- train_runtime: 2083.0086
- train_samples_per_second: 0.96
-... | [] | [
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] |
null | transformers |
# Uploaded model
- **Developed by:** Raul569
- **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/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Raul569/lora_outfit_recommender_model | null | [
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"base_model:unsloth/llama-3-8b-bnb-4bit",
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|
# Uploaded model
- Developed by: Raul569
- 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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"# Uploaded model\n\n- Developed by: Raul569\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis... | [
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document-question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Resi/layfi-v1-docvqa | null | [
"transformers",
"safetensors",
"layoutlmv2",
"document-question-answering",
"arxiv:1910.09700",
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"1910.09700"
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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 | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Meta-Llama-3-8B-Instruct](http... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Meta-Llama-3-8B-Instruct", "NotAiLOL/Meta-Llama-3-8B-Instruct"]} | NotAiLOL/Boundary-Meta-Llama-3-2x | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inferen... | null | 2024-04-19T14:31:32+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Meta-Llama-3-8B-Instruct
* NotAiLOL/Meta-Llama-3-8B-Instruct
### Co... | [
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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": []} | wendy41/llama-2-koen-user0-100 | null | [
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# Model Card for Model ID
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text-generation | transformers | How to run the model ?
# Load base model
model = AutoModelForCausalLM.from_pretrained(
"Tapan101/Llama-2-7b-Medical-chat-finetune"
)
# Load LLaMA tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
tokenizer.pad_token = tokenizer.eos_token
tokenizer.padding_side = "right" # Fix... | {} | Tapan101/Llama-2-7b-Medical-chat-finetune | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T14:31:53+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| How to run the model ?
# Load base model
model = AutoModelForCausalLM.from_pretrained(
"Tapan101/Llama-2-7b-Medical-chat-finetune"
)
# Load LLaMA tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
tokenizer.pad_token = tokenizer.eos_token
tokenizer.padding_side = "right" # Fix... | [
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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-160m_ian-022_PasswordMatch_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_ian-022_PasswordMatch_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_ian-022_PasswordMatch_n-its-10 | null | [
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|
# robust_llm_pythia-160m_ian-022_PasswordMatch_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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text-generation | transformers | # frankenllama-16b
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
This is my personal frankenmerge of llama-3-8B after a light and unintentional tuning for 3 epochs on the noro dataset in Alpaca format. I have yet to test it or further tune it. So please do... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | reallad/frankenllama-16b-alpaca-noro | null | [
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#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # frankenllama-16b
This is a merge of pre-trained language models created using mergekit.
This is my personal frankenmerge of llama-3-8B after a light and unintentional tuning for 3 epochs on the noro dataset in Alpaca format. I have yet to test it or further tune it. So please don't take it too seriously.
## Merge D... | [
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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": []} | slimaneMakh/Multilang_tableClassification-TripletTsdaecorpogplparamulti-peft-lora | 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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- Shared by [optional]:
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text-generation | mlx |
# mlx-community/Meta-Llama-3-70B-Instruct-8bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-70B-Instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) for more details on the model.
## Use with mlx
```bash
... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "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\"A... | mlx-community/Meta-Llama-3-70B-Instruct-8bit | null | [
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# mlx-community/Meta-Llama-3-70B-Instruct-8bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-70B-Instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | lauragordo/model3 | null | [
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
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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... | blockblockblock/Meta-Llama-3-70B-Instruct-hf-bpw3 | null | [
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| Model Details
-------------
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | wendy41/llama-2-koen-user111-100 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** ntvcie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ntvcie/Gemma2bVinhntV7_16bit | null | [
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text-generation | transformers |
# Model Card for Model ID
An instruction fine-tuned model of Mistral-7B-v1.0 base model.
### Recommendations
Use the [INST]instruction[/INST] prompt format to make use of the fine tuning
## Training Details
The model was trained on a synthetic Q&A dataset generated from GPT-3.5 from the European Commission 2023 R... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["viktorahmeti/European-Commission-Kosovo-2023-Report-QA"]} | viktorahmeti/Mistral-7B-European-Commission-Kosovo-2023-Report-FT | null | [
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An instruction fine-tuned model of Mistral-7B-v1.0 base model.
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null | null | Number of experts present in the library: 263
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| --- | --- | --- | --- |
| sciq_Multiple_Choice | phi-2 | sordonia/flan-10k-flat/sciq_Multiple_Choice | lora |
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null | peft |
# Model Card for Model ID
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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
- Developed by:
- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
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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
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-cartpole", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"ty... | Kommunarus/Reinforce-cartpole | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# 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 | null |
## 💫 Community Model> Llama 3 70B Instruct by Meta
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [meta-llama](https://huggingface.co/meta-llama)<b... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | lmstudio-community/Meta-Llama-3-70B-Instruct-GGUF | null | [
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|
## Community Model> Llama 3 70B Instruct by Meta
* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.
Model creator: meta-llama<br>
Original model: Meta-Llama-3-70B-Instruct<br>
GGUF quantization: provided by bartowski based on 'U... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** thisurawz1
- **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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | thisurawz1/llama3_unsloth | null | [
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|
# Uploaded model
- Developed by: thisurawz1
- 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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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Asubramanian19/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additio... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | Asubramanian19/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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"reinforcement-learning",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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text-generation | transformers |
# 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": []} | JorgeVieyra/codegen-350M-mono-python-18k-alpaca | null | [
"transformers",
"safetensors",
"codegen",
"text-generation",
"arxiv:1910.09700",
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"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #codegen #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.4-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparame... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.4-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.4-DPO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.4-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
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object-detection | 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. -->
# sensetime-deformable-detr-finetuned-10k-cppe5
This model is a fine-tuned version of [SenseTime/deformable-detr](https://huggingf... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "SenseTime/deformable-detr", "model-index": [{"name": "sensetime-deformable-detr-finetuned-10k-cppe5", "results": []}]} | qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5 | null | [
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"license:apache-2.0",
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#transformers #safetensors #deformable_detr #object-detection #vision #generated_from_trainer #base_model-SenseTime/deformable-detr #license-apache-2.0 #endpoints_compatible #region-us
| sensetime-deformable-detr-finetuned-10k-cppe5
=============================================
This model is a fine-tuned version of SenseTime/deformable-detr on the cppe-5 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1028
* Map: 0.2808
* Map 50: 0.5257
* Map 75: 0.2589
* Map Small: 0.28... | [
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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": []} | Liya009/code-search-net-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#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:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | This is an MOE of Llama-3-8b with 4 experts. This does not use semantic routing, as this utilizes the deepseek-moe architecture. There is no routing, and there is no gate - all experts are active on every token.
```python
import torch
from transformers import AutoTokenizer, TextStreamer, AutoModelForCausalLM
model_pa... | {} | Crystalcareai/llama-3-4x8b | null | [
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"safetensors",
"deepseek",
"text-generation",
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"custom_code",
"autotrain_compatible",
"region:us"
] | null | 2024-04-19T14:52:24+00:00 | [] | [] | TAGS
#transformers #safetensors #deepseek #text-generation #conversational #custom_code #autotrain_compatible #region-us
| This is an MOE of Llama-3-8b with 4 experts. This does not use semantic routing, as this utilizes the deepseek-moe architecture. There is no routing, and there is no gate - all experts are active on every token.
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null | null |
## Definitely a Beta Test at Best
There's an issue with the types of end of text and end of sentence tokens being used. Output will start normal, then continue rambling - sort of.
Meta has a bunch of special reserved tokens and this release kind of rambles against itself with current inference libraries, but the ram... | {"license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llamafile"], "license_name": "llama3", "license_link": "LICENSE"} | gobean/Meta-Llama-3-8B-Instruct.llamafile | null | [
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"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
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#llamafile #facebook #meta #pytorch #llama #llama-3 #license-other #region-us
| Definitely a Beta Test at Best
------------------------------
There's an issue with the types of end of text and end of sentence tokens being used. Output will start normal, then continue rambling - sort of.
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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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text2text-generation | transformers |
# Model Card for Model ID
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### Model Description
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null | transformers |
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null | transformers |
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null | transformers |
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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-v0.6.1
<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-v0.6.1 | null | [
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# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.6.1
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null | transformers |
# Model Card for Model ID
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text-generation | transformers | # Model Card for Cyber-risk-llama-3-8b
## Model Description
This model is a fine-tuned version of `meta-llama/Meta-Llama-3-8B` on the `vanessasml/cybersecurity_32k_instruction_input_output` dataset.
It is specifically designed to enhance performance in generating and understanding cybersecurity, identifying cyber th... | {"tags": ["finance", "supervision", "cyber risk", "cybersecurity", "cyber threats", "SFT", "LoRA", "A100GPU"], "datasets": ["Vanessasml/cybersecurity_32k_instruction_input_output"], "pipeline_tag": "text-generation"} | Vanessasml/cyber-risk-llama-3-8b | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"finance",
"supervision",
"cyber risk",
"cybersecurity",
"cyber threats",
"SFT",
"LoRA",
"A100GPU",
"conversational",
"dataset:Vanessasml/cybersecurity_32k_instruction_input_output",
"autotrain_compatible",
"endpoints_compatible",
... | null | 2024-04-19T15:03:19+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #finance #supervision #cyber risk #cybersecurity #cyber threats #SFT #LoRA #A100GPU #conversational #dataset-Vanessasml/cybersecurity_32k_instruction_input_output #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Model Card for Cyber-risk-llama-3-8b
## Model Description
This model is a fine-tuned version of 'meta-llama/Meta-Llama-3-8B' on the 'vanessasml/cybersecurity_32k_instruction_input_output' dataset.
It is specifically designed to enhance performance in generating and understanding cybersecurity, identifying cyber th... | [
"# Model Card for Cyber-risk-llama-3-8b",
"## Model Description\nThis model is a fine-tuned version of 'meta-llama/Meta-Llama-3-8B' on the 'vanessasml/cybersecurity_32k_instruction_input_output' dataset. \n\nIt is specifically designed to enhance performance in generating and understanding cybersecurity, identify... | [
"TAGS\n#transformers #pytorch #llama #text-generation #finance #supervision #cyber risk #cybersecurity #cyber threats #SFT #LoRA #A100GPU #conversational #dataset-Vanessasml/cybersecurity_32k_instruction_input_output #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model C... | [
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"TAGS\n#transformers #pytorch #llama #text-generation #finance #supervision #cyber risk #cybersecurity #cyber threats #SFT #LoRA #A100GPU #conversational #dataset-Vanessasml/cybersecurity_32k_instruction_input_output #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card fo... |
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