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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/5bx6imr | null | [
"transformers",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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] | null | 2024-04-28T08:15:31+00:00 | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | null |
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header... | {"language": ["en", "zh"], "license": "other", "tags": ["llama-factory", "orpo"], "license_name": "llama3", "base_model": "shenzhi-wang/Llama3-8B-Chinese-Chat", "inference": false, "model_creator": "shenzhi-wang", "model_type": "llama", "pipeline_tag": "text-generation", "quantized_by": "Second State Inc."} | second-state/Llama3-8B-Chinese-Chat-GGUF | null | [
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|
---
Llama3-8B-Chinese-Chat-GGUF
===========================
Original Model
--------------
shenzhi-wang/Llama3-8B-Chinese-Chat
Run with LlamaEdge
------------------
* LlamaEdge version: v0.8.6 and above
* Prompt template
+ Prompt type: 'llama-3-chat'
+ Prompt string
* Context size: '409... | [] | [
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text-generation | transformers |
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">... | {"license": "bigcode-openrail-m", "inference": false} | pranaysharma/WizardCoder-15B-1.0-GPTQ_TheBloke_Clone | null | [
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"text-generation",
"license:bigcode-openrail-m",
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#transformers #safetensors #gpt_bigcode #text-generation #license-bigcode-openrail-m #autotrain_compatible #text-generation-inference #4-bit #region-us
|
[[TheBloke's LLM work is generously supported by a grant from [andreessen horowitz (a16z)](URL)](URL to contribute? TheBloke's Patreon page</a></p>
</div>
</div>
<div style=)](URL & support: TheBloke's Discord server</a></p>
</div>
<div style=)
---
WizardLM's WizardCoder 15... | [] | [
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] |
text-generation | null |
# DavidAU/Llama-3-8B-Instruct-262k-Q6_K-GGUF
This model was converted to GGUF format from [`gradientai/Llama-3-8B-Instruct-262k`](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/Llama-3-8B-Instruct-262k-Q6_K-GGUF | null | [
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"en",
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#gguf #meta #llama-3 #llama-cpp #gguf-my-repo #text-generation #en #license-llama3 #region-us
|
# DavidAU/Llama-3-8B-Instruct-262k-Q6_K-GGUF
This model was converted to GGUF format from 'gradientai/Llama-3-8B-Instruct-262k' 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... | [
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null | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberUltron
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_CyberUltron"} | LeroyDyer/ARC_LORA | null | [
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|
# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
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text-generation | null |
# DavidAU/Llama-3-8B-Instruct-262k-Q4_K_M-GGUF
This model was converted to GGUF format from [`gradientai/Llama-3-8B-Instruct-262k`](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [orig... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/Llama-3-8B-Instruct-262k-Q4_K_M-GGUF | null | [
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|
# DavidAU/Llama-3-8B-Instruct-262k-Q4_K_M-GGUF
This model was converted to GGUF format from 'gradientai/Llama-3-8B-Instruct-262k' 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.
C... | [
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text-generation | transformers | Quantizations of https://huggingface.co/Qwen/CodeQwen1.5-7B
# From original readme
## Requirements
The code of Qwen1.5 has been in the latest Hugging face transformers and we advise you to install `transformers>=4.37.0`, or you might encounter the following error:
```
KeyError: 'qwen2'.
```
| {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "CodeQwen1.5-7B"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/CodeQwen1.5-7B-imatrix-GGUF | null | [
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| Quantizations of URL
# From original readme
## Requirements
The code of Qwen1.5 has been in the latest Hugging face transformers and we advise you to install 'transformers>=4.37.0', or you might encounter the following error:
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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": []} | IN4/fast-whisper-v3-LoRA-8bit-epochs-8_num3 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/v3mr34c | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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image-text-to-text | null | <p align="center">
<img src="https://huggingface.co/HuggingFaceM4/idefics-80b/resolve/main/assets/IDEFICS.png" alt="Idefics-Obelics logo" width="200" height="100">
</p>
***As of April 18th, 2024**, Idefics2 is part of the `4.40.0` Transformers pypi release. Please upgrade your Transformers version (`pip install tr... | {"language": ["en"], "license": "apache-2.0", "tags": ["multimodal", "vision", "image-text-to-text"], "datasets": ["pixparse/docvqa-single-page-questions"]} | SalmanFaroz/idefics2-8b-DocVQA-SP | null | [
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|
*As of April 18th, 2024, Idefics2 is part of the '4.40.0' Transformers pypi release. Please upgrade your Transformers version ('pip install transformers --upgrade').*
idefics2 8b Fine tuned on DocVQA Dataset
========================================
Model Information
-----------------
* Base Mode... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/1izxtb4 | 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. -->
# hubbub-sentiment_llama3
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Met... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "hubbub-sentiment_llama3", "results": []}]} | george24/hubbub-sentiment_llama3 | null | [
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| hubbub-sentiment\_llama3
========================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4586
* Accuracy: 0.8269
* Precision: 0.8234
* Recall: 0.8269
* F1: 0.8235
Model description
-----------------... | [
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text-generation | transformers | # Model
This model has been fine-tuned based on Meta-Llama/Meta-Llama-3-8B-Instruct using the mlx-lm with a cleaned-up function calling dataset that removed invalid JSON data and single quotes around argument values.
## Usage
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model_i... | {"language": ["en"], "license": "llama3", "datasets": ["mzbac/function-calling-llama-3-format-v1.1"]} | mzbac/llama-3-8B-Instruct-function-calling-v0.2 | null | [
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| # Model
This model has been fine-tuned based on Meta-Llama/Meta-Llama-3-8B-Instruct using the mlx-lm with a cleaned-up function calling dataset that removed invalid JSON data and single quotes around argument values.
## 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. -->
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null | null | Mistral 7B Instruct v0.2 Finetuning to improve the ReAct capabilities.
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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. -->
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Qwen1.5-110B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 9 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B, 72B, and 110B dense mode... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | yiximail/Qwen1.5-110B-Chat-3.25bpw-h6-exl2 | null | [
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# Qwen1.5-110B-Chat
## Introduction
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text-to-speech | unity-sentis | Converted from https://huggingface.co/rhasspy/piper-voices/tree/main/en/en_US/libritts_r/medium for use with Unity Sentis
---
# Model card for libritts_r (medium)
* Language: en_US (English, United States)
* Speakers: 904
* Quality: medium
* Samplerate: 22,050Hz
## Dataset
* URL: http://www.openslr.org/141/
* Licen... | {"language": ["en"], "library_name": "unity-sentis", "datasets": ["blabble-io/libritts_r"], "pipeline_tag": "text-to-speech"} | OlegSkutte/sentis-piper-vits-libritts_r | null | [
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| Converted from URL for use with Unity Sentis
---
# Model card for libritts_r (medium)
* Language: en_US (English, United States)
* Speakers: 904
* Quality: medium
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## Dataset
* URL: URL
* License: CC BY 4.0
## Training
Fine-tuned from English lessac medium on train-clean-360.
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text-generation | transformers |
<img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4
This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-70B-Instruct` model.
# Quantized GGUF
All GGUF models are available here: [... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["axolotl", "finetune", "dpo", "facebook", "meta", "pytorch", "llama", "llama-3", "chatml"], "datasets": ["argilla/ultrafeedback-binarized-preferences"], "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "pipeline_tag": "text-generati... | MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4 | null | [
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MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4
===========================================
This model is a fine-tune (DPO) of 'meta-llama/Meta-Llama-3-70B-Instruct' model.
Quantized GGUF
==============
All GGUF models are available here: MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4-GGUF
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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/gemma-7b-bnb-4bit"} | ping98k/gemma-7b-translator-0.4-lora | null | [
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|
# 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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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | MalumaDev/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-28T08:33:19+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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text-generation | transformers | # This content is strictly for educational purposes and should not be construed as financial advice. Please exercise caution when applying any information provided.
# Uploaded model
- **Developed by:** baconnier
- **License:** apache-2.0
- **Finetuned from model :** cognitivecomputations/dolphin-2.9-llama3-8b
This... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "cognitivecomputations/dolphin-2.9-llama3-8b"} | baconnier/finance_dolphin_orpo_llama3_8B_r64_51K | null | [
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"license:apache-2.0",
"autotrain_compatible",
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"has_sp... | null | 2024-04-28T08:33:30+00:00 | [] | [
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| # This content is strictly for educational purposes and should not be construed as financial advice. Please exercise caution when applying any information provided.
# Uploaded model
- Developed by: baconnier
- License: apache-2.0
- Finetuned from model : cognitivecomputations/dolphin-2.9-llama3-8b
This llama model... | [
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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. -->
# roberta-finetuned-subjqa-movies_2
This model is a fine-tuned version of [bert-large-uncased-whole-word-masking-finetuned-squad](... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-large-uncased-whole-word-masking-finetuned-squad", "model-index": [{"name": "roberta-finetuned-subjqa-movies_2", "results": []}]} | Francisca28/roberta-finetuned-subjqa-movies_2 | null | [
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"license:apache-2.0",
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|
# roberta-finetuned-subjqa-movies_2
This model is a fine-tuned version of bert-large-uncased-whole-word-masking-finetuned-squad on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## T... | [
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text-generation | transformers |
fix model generate html code by remove html tag from version 0.3
prompt
```
<bos>[| start_original |]
ถ้าข้างนอกอุณหภูมิ 15 องศาเซลเซียส ควรใส่เสื้อกันหนาวหรือไม่[| end_original |]
[| start_translate to=en |]
Should I wear a jacket if the temperature is 15 degrees Celsius outside?[| end_translate |]<eos>
```
```
<bo... | {"language": ["th", "en"], "datasets": ["scb_mt_enth_2020"], "pipeline_tag": "text-generation"} | ping98k/gemma-7b-translator-0.4 | null | [
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"dataset:scb_mt_enth_2020",
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"text-generation-inference",
"region:us"
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#transformers #safetensors #gguf #gemma #text-generation #th #en #dataset-scb_mt_enth_2020 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
fix model generate html code by remove html tag from version 0.3
prompt
translate is usable when have short sentence
but when use with long sentence it will drop some of it
| [] | [
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null | null | ### French-Alpaca-Instruct Q4
Quantized 4bits Q4_K_M version of https://huggingface.co/jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0
This 4 bits version of French-Alpaca
can be used on a CPU device incl. Raspberry Pi 5 8gb, and is supported by LLM cpp tools (llama.cpp, Ollama, LM Studio ..)
### Usage
Olla... | {"language": ["fr"], "license": "apache-2.0", "tags": ["french-alpaca", "french", "4Q_K_M", "Instruct"], "datasets": ["jpacifico/French-Alpaca-dataset-Instruct-110K"]} | jpacifico/french-alpaca-llama3-8B-Q4-GGUF | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-28T08:35:24+00:00 | [] | [
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#gguf #french-alpaca #french #4Q_K_M #Instruct #fr #dataset-jpacifico/French-Alpaca-dataset-Instruct-110K #license-apache-2.0 #region-us
| ### French-Alpaca-Instruct Q4
Quantized 4bits Q4_K_M version of URL
This 4 bits version of French-Alpaca
can be used on a CPU device incl. Raspberry Pi 5 8gb, and is supported by LLM cpp tools (URL, Ollama, LM Studio ..)
### Usage
Ollama Modelfile example :
### Limitations
The French-Alpaca model is a q... | [
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null | transformers |
# Uploaded model
- **Developed by:** baconnier
- **License:** apache-2.0
- **Finetuned from model :** cognitivecomputations/dolphin-2.9-llama3-8b
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "cognitivecomputations/dolphin-2.9-llama3-8b"} | baconnier/finance_dolphin_orpo_llama3_8B_r64_51K_lora | null | [
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"en"
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|
# Uploaded model
- Developed by: baconnier
- License: apache-2.0
- Finetuned from model : cognitivecomputations/dolphin-2.9-llama3-8b
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 |
<!-- 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. -->
# digital-TA
This model is a fine-tuned version of [openai-community/gpt2-large](https://huggingface.co/openai-community/gpt2-larg... | {"license": "mit", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "openai-community/gpt2-large", "model-index": [{"name": "digital-TA", "results": []}]} | hibana2077/digital-TA | null | [
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"base_model:openai-community/gpt2-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T08:37:38+00:00 | [] | [] | TAGS
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|
# digital-TA
This model is a fine-tuned version of openai-community/gpt2-large 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 hyperparameters... | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.7705633640289307
f1_macro: 0.6039453586924824
f1_micro: 0.6606793526587231
f1_weighted: 0.6394700306337707
precision_macro: 0.6728888959508482
precision_micro: 0.6606793526587231
precision_weighted: 0.665716522969... | {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-p28fn-qmpx8/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | Hrishith123/Telugu-Distilbert-base-Multilingual-uncased | null | [
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] | null | 2024-04-28T08:39:56+00:00 | [] | [] | TAGS
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.7705633640289307
f1_macro: 0.6039453586924824
f1_micro: 0.6606793526587231
f1_weighted: 0.6394700306337707
precision_macro: 0.6728888959508482
precision_micro: 0.6606793526587231
precision_weighted: 0.665716522969... | [
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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": []} | golf2248/3zan4av | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T08:41:21+00:00 | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# 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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# Model Card for Model ID
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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 |
# 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 |
## base model :
- google/gemma-7b
## dataset :
- ayoubkirouane/Small-Instruct-Alpaca_Format
- yahma/alpaca-cleaned
## get started :
```
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="ayoubkirouane/Gemma_7b_Alpaca")
```
or :
```
# Load model ... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"], "datasets": ["yahma/alpaca-cleaned", "ayoubkirouane/Small-Instruct-Alpaca_Format"]} | ayoubkirouane/Gemma7b-instruct-Alpaca | null | [
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|
## base model :
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## dataset :
- ayoubkirouane/Small-Instruct-Alpaca_Format
- yahma/alpaca-cleaned
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text-generation | transformers |
# TinyMoE-DopeykarasuMoe-xdareties2
TinyMoE-DopeykarasuMoe-xdareties2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [aipib/Dopey-karasu-MoE3](https://huggingface.co/aipib/Dopey-karasu-MoE3)
* [AIChenKai/TinyLlama-1.1B-... | {"tags": ["merge", "mergekit", "lazymergekit", "aipib/Dopey-karasu-MoE3", "AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE"], "base_model": ["aipib/Dopey-karasu-MoE3", "AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE"]} | aipib/TinyMoE-DopeykarasuMoe-xdareties2 | null | [
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"autotrain... | null | 2024-04-28T08:47:40+00:00 | [] | [] | TAGS
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# TinyMoE-DopeykarasuMoe-xdareties2
TinyMoE-DopeykarasuMoe-xdareties2 is a merge of the following models using LazyMergekit:
* aipib/Dopey-karasu-MoE3
* AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE
## Configuration
## Usage
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null | transformers |
# Uploaded model
- **Developed by:** Virionz
- **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"} | Virionz/train2 | null | [
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|
# Uploaded model
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- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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<img src="URL width="200"/>
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text-generation | null |
# llama-3-8b-instruct-262k-chinese-lora
llama-3-8b-instruct-262k-chinese基于[Llama-3-8B-Instruct-262k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k)，使用ORPO方法，在中英文偏好数据集[shibing624/DPO-En-Zh-20k-Preference](https://huggingface.co/datasets/shibing624/DPO-En-Zh-20k-Preference)
上微调得到的对话模型。
模型的部署、训练等方法详见Medi... | {"language": ["zh", "en"], "license": "other", "tags": ["llama3", "chinese", "meta"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | shibing624/llama-3-8b-instruct-262k-chinese-lora | null | [
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| llama-3-8b-instruct-262k-chinese-lora
=====================================
llama-3-8b-instruct-262k-chinese基于Llama-3-8B-Instruct-262k，使用ORPO方法，在中英文偏好数据集shibing624/DPO-En-Zh-20k-Preference
上微调得到的对话模型。
模型的部署、训练等方法详见MedicalGPT的GitHub仓库：URL
Relate models
-------------
* 完整模型权重：URL
* lora权重：URL
Features
--------
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** MetaMerge
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "MetaMerge"} | LeroyDyer/MetaMath_LLM | null | [
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|
# Uploaded model
- Developed by: LeroyDyer
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- Finetuned from model : MetaMerge
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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text-generation | transformers |
# TinyMoE-DopeykarasuMoe-xslerp
TinyMoE-DopeykarasuMoe-xslerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [aipib/Dopey-karasu-MoE3](https://huggingface.co/aipib/Dopey-karasu-MoE3)
* [AIChenKai/TinyLlama-1.1B-Chat-v1.... | {"tags": ["merge", "mergekit", "lazymergekit", "aipib/Dopey-karasu-MoE3", "AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE"], "base_model": ["aipib/Dopey-karasu-MoE3", "AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE"]} | aipib/TinyMoE-DopeykarasuMoe-xslerp | null | [
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"autotrain... | null | 2024-04-28T08:53:45+00:00 | [] | [] | TAGS
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# TinyMoE-DopeykarasuMoe-xslerp
TinyMoE-DopeykarasuMoe-xslerp is a merge of the following models using LazyMergekit:
* aipib/Dopey-karasu-MoE3
* AIChenKai/TinyLlama-1.1B-Chat-v1.0-x2-MoE
## Configuration
## Usage
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text-generation | transformers |
# Model Card for Model ID
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null | transformers |
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null | transformers |
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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-1b_mz-132_EnronSpam_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-132_EnronSpam_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-132_EnronSpam_n-its-10 | null | [
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# robust_llm_pythia-1b_mz-132_EnronSpam_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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text-generation | transformers |
# Model Card for Model ID
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text-to-speech | transformers |
# Text to Speech Russian free multispeaker model
This is a multiple speakers text-to-speech model for the Russian language. It works on plain text with punctuation separation, and does not require prior conversion of the text into phonemes.
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# Text to Speech Russian free multispeaker model
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
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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-to-audio | 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. -->
# zlm_b32_le4_s8000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "zlm_b32_le4_s8000", "results": []}]} | mikhail-panzo/zlm_b32_le4_s8000 | null | [
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| zlm\_b32\_le4\_s8000
====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3161
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": []} | hi000000/insta_man_shopping_llama2_koen | null | [
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text-to-image | diffusers | # Mommyfy
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/Hotiam/Mommyfy/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/1000047632.png"}}], "base_model": "computational-mama-research/tired-mom-octos"} | Hotiam/Mommyfy | null | [
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<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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null | transformers |
# Uploaded model
- **Developed by:** dmorrigan
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dmorrigan/HebrewLyricsLoRA-10K-5Epoch | 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. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | sai-vatturi/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6958
* Bleu: 4.7464
* Gen Len: 17.83
Model description
-----------------
More information needed
Intended use... | [
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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. -->
# Textual inversion text2image fine-tuning - janetsw/act
These are textual inversion adaption weights for stabilityai/stab... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | janetsw/act | null | [
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|
# Textual inversion text2image fine-tuning - janetsw/act
These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent iss... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** MetaMath_LLM
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "MetaMath_LLM"} | LeroyDyer/TruthfulQA_LLM | null | [
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- Developed by: LeroyDyer
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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:
* [motherfucker0/zhun02](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun02", "motherfucker0/zhun01"]} | motherfucker0/zhen10 | 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 SLERP merge method.
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* motherfucker0/zhun02
* motherfucker0/zhun01
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/jh7n57h | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# my_awesome_gliner_like_model
This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/mdeberta-v3-base", "model-index": [{"name": "my_awesome_gliner_like_model", "results": []}]} | Gmanc/my_awesome_gliner_like_model | null | [
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| my\_awesome\_gliner\_like\_model
================================
This model is a fine-tuned version of microsoft/mdeberta-v3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3393
* Precision: 0.6038
* Recall: 0.5437
* F1: 0.5722
* Accuracy: 0.8834
Model description
-... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | WzY1924561588/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2154
* Accuracy: 0.9245
* F1: 0.9245
Model description
-----------------
Mo... | [
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null | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** MetaMath_LLM
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "MetaMath_LLM"} | LeroyDyer/TruthfulQA | null | [
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# Uploaded model
- Developed by: LeroyDyer
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null | transformers |
# Uploaded model
- **Developed by:** chenqu602
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | chenqu602/lora_model | 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": []} | Mxode/TinyStories-LLaMA2-25M-256h-4l-GQA | null | [
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null | null |
Mamba Bit!
Mamba with vocab size 2 bites again! This time we bite at tiny stories.
I didn't bother preprocess them at all, during a training model took random char offset, converted it to bit string and fed to mamba. This time I didn't forget about residual connections nor about norm. As the result model was trained ... | {"license": "apache-2.0"} | Maykeye/MambaBitPet-TinyStories | null | [
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|
Mamba Bit!
Mamba with vocab size 2 bites again! This time we bite at tiny stories.
I didn't bother preprocess them at all, during a training model took random char offset, converted it to bit string and fed to mamba. This time I didn't forget about residual connections nor about norm. As the result model was trained ... | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-stock-tweet-sentiment-analysis
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-stock-tweet-sentiment-analysis", "results": []}]} | siddharth-magesh/distilbert-stock-tweet-sentiment-analysis | null | [
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| distilbert-stock-tweet-sentiment-analysis
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6800
* Accuracy: 0.8228
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Lakoc/ebranchformer_6_128h_for_pretraining_2d | 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 |
# 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"]} | zrowt/Sample-Testss | null | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Hermes-2-Pro-Mistral-7B - GGUF
- Model creator: https://huggingface.co/NousResearch/
- Original model: https://huggingface.c... | {} | RichardErkhov/NousResearch_-_Hermes-2-Pro-Mistral-7B-gguf | null | [
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#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Hermes-2-Pro-Mistral-7B - GGUF
* Model creator: URL
* Original model: URL
Name: Hermes-2-Pro-Mistral-7B.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: Hermes-2-Pro-Mistral-7B.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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null | transformers |
# Uploaded model
- **Developed by:** Virionz
- **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.
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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. -->
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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. -->
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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. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/hxj6idn | null | [
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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. -->
# Mamba for Text Classification
This model was trained from scratch on IMDB dataset.
It achieves the following results on the eval... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "mamba_text_classification", "results": []}]} | vubacktracking/mamba_text_classification | null | [
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| Mamba for Text Classification
=============================
This model was trained from scratch on IMDB dataset.
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* Accuracy: 0.9536
It achieves the following results on the evaluation set:
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* Accuracy: 0.94
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | circulus/LCM-canvers-real-v3.8.1 | null | [
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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"]} | chirbard/ppo-SnowballTarget | null | [
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# 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
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text-generation | transformers | # [MaziyarPanahi/WizardLM-2-8x22B-GGUF](https://huggingface.co/MaziyarPanahi/WizardLM-2-8x22B-GGUF)
- Model creator: [microsoft](https://huggingface.co/microsoft)
- Original model: [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B)
## Description
[MaziyarPanahi/WizardLM-2-8x22B-GGUF](https... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "arxiv:2304.12244", "arxiv:2306.08568", "arxiv:2308.09583", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "region:us", "t... | 754geg/kpok | null | [
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| # MaziyarPanahi/WizardLM-2-8x22B-GGUF
- Model creator: microsoft
- Original model: microsoft/WizardLM-2-8x22B
## Description
MaziyarPanahi/WizardLM-2-8x22B-GGUF contains GGUF format model files for microsoft/WizardLM-2-8x22B.
## How to download
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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:
* [motherfucker0/zhun02](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun02", "motherfucker0/zhun01"]} | motherfucker0/zhen11 | 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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* motherfucker0/zhun02
* motherfucker0/zhun01
### Configuration
The following YAM... | [
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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. -->
# CRF Transformer Whisper tiny - Vietnamese
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/op... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-small", "model-index": [{"name": "CRF Transformer Whisper tiny - Vietnamese", "results": []}]} | phannhat/CRF_Transformer_Whisper_tiny_vi | null | [
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|
# CRF Transformer Whisper tiny - Vietnamese
This model is a fine-tuned version of openai/whisper-small on the vlsp2020_vinai_100h dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
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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. -->
# finetuned-clothes
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-ba... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "finetuned-clothes", "results": []}]} | samokosik/finetuned-clothes | null | [
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| finetuned-clothes
=================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the clothes\_simplifiedv2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2225
* Accuracy: 0.9417
Model description
-----------------
This model classifies clothes category ... | [
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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": []} | Mariyyah/mersal-model | 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 | <!DOCTYPE html>
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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":... | ed-butcher/a2c-PandaReachDense-v3 | null | [
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"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-28T09:40:16+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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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. -->
# t5-finetuned-en-to-ru-eval1
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown datase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-base", "model-index": [{"name": "t5-finetuned-en-to-ru-eval1", "results": []}]} | tsetsuuhei/t5-finetuned-en-to-ru-eval1 | null | [
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|
# t5-finetuned-en-to-ru-eval1
This model is a fine-tuned version of t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.6224
- eval_bleu: 0.0
- eval_gen_len: 7.656
- eval_runtime: 5.8186
- eval_samples_per_second: 85.931
- eval_steps_per_second: 1.89
- step: 0
## ... | [
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text-generation | transformers |
This model was trained (Causal Language Modelling) on 5000 SEC documents.
The dataset can be found at: https://huggingface.co/datasets/ali77sina/SEC-just-text | {"license": "apache-2.0"} | ali77sina/SECGPT | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# danielkosyratest2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## Model des... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "danielkosyratest2", "results": []}]} | danielkosyra/danielkosyratest2 | null | [
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|
# danielkosyratest2
This model is a fine-tuned version of gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following ... | [
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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. -->
# DreamBooth - mrtuandao/dreambooth-nguoideptrainhatthegioi
This is a dreambooth model derived from runwayml/stable-diffu... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "runwayml/stable-diffusi... | mrtuandao/dreambooth-nguoideptrainhatthegioi | null | [
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|
# DreamBooth - mrtuandao/dreambooth-nguoideptrainhatthegioi
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on nguoideptrainhatthegioi using DreamBooth.
You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
DreamBooth for the text encode... | [
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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": []} | team-sanai/llama2_0.1B_lora_atten_fleeze_sample | 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-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert_train
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert_train", "results": []}]} | KhangSimple/distilbert_train | null | [
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|
# distilbert_train
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/rzias1u | null | [
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|
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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": []} | happylayers/sc71 | 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": []} | golf2248/js1ou65 | null | [
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# Model Card for Model ID
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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. -->
# tulu2-7b-cost-UI-both-5e-7
This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-7b) o... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-7b", "model-index": [{"name": "tulu2-7b-cost-UI-both-5e-7", "results": []}]} | just1nseo/tulu2-7b-cost-UI-both-5e-7 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-allenai/tulu-2-7b #region-us
| tulu2-7b-cost-UI-both-5e-7
==========================
This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6928
* Rewards/chosen: -0.0002
* Rewards/rejected: -0.0001
* Rewards/accuracies: 0.5159
* Rewards/margins: -0.0001
* R... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/6vujbo9 | 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-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. -->
# SDXL LoRA DreamBooth - AdityaNath/Rus_Arch_LoRA
<Gallery />
## Model description
These are AdityaNath/Rus_Arch_LoRA L... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of Rus_Arch Arch... | AdityaNath/Rus_Arch_LoRA | null | [
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"license:openrail++",
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#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - AdityaNath/Rus_Arch_LoRA
<Gallery />
## Model description
These are AdityaNath/Rus_Arch_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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": []} | golf2248/scrzq9s | null | [
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|
# Model Card for Model ID
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text-generation | transformers | Ru-adapted phi-2 (change the tokenizer and the embeddings layer like here: https://russiansuperglue.com/login/submit_info/2899). Unfortunately, they left no code behind so I can only hope my code's correct.
Model hasn't been trained yet. It will undergo full parameter second-stage pre-training. | {"license": "apache-2.0"} | Defetya/ru_adapted_phi-2 | null | [
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"region:us"
] | null | 2024-04-28T10:01:18+00:00 | [] | [] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Ru-adapted phi-2 (change the tokenizer and the embeddings layer like here: URL Unfortunately, they left no code behind so I can only hope my code's correct.
Model hasn't been trained yet. It will undergo full parameter second-stage pre-training. | [] | [
"TAGS\n#transformers #safetensors #phi #text-generation #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
45
] | [
"TAGS\n#transformers #safetensors #phi #text-generation #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
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