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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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_3ep
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_3ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_3ep | null | [
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|
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_3ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
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- eval_runtime: 2.8733
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_5iters_bs256_nodpo_iter_5
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_4... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_4", "model-index": [{"name": "0.001_ablation_5iters_bs256_nodpo_iter_5", "results": []}]} | ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_5 | null | [
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# 0.001_ablation_5iters_bs256_nodpo_iter_5
This model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_4 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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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": []} | yl2342/Llama-3-8Bing-ORPO | 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 |
# Uploaded model
- **Developed by:** baconnier
- **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", "gguf", "trl", "orpo"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | baconnier/finance_orpo_llama3_8B_51K | null | [
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# Uploaded model
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- License: apache-2.0
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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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_4ep
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_4ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_4ep | null | [
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|
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_4ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.1567
- eval_runtime: 2.8629
- eval_samples_per_second: 69.859
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null | transformers |
## Installation from source
```bash
git clone https://github.com/foundation-model-stack/fms-extras
cd fms-extras
pip install -e .
```
## Description
This model is intended to be used as an accelerator for [llama3 8b (instruct)](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) and takes inspiration
from... | {"license": "llama3"} | ibm-fms/llama3-8b-accelerator | null | [
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## Description
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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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_5ep
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_5ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_5ep | null | [
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|
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_5ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
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- eval_runtime: 2.8616
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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": []} | SamaahKhan/TinyLlama-before-fine-tuning | null | [
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null | null |
# Experiment27pasticheOgnoexperiment27multi_verse_model-7B
Experiment27pasticheOgnoexperiment27multi_verse_model-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... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Experiment27pasticheOgnoexperiment27multi_verse_model-7B | null | [
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|
# Experiment27pasticheOgnoexperiment27multi_verse_model-7B
Experiment27pasticheOgnoexperiment27multi_verse_model-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | transformers |
### Model Description
This was model was fine-tuned from TinyLlama-1.1B-Chat-v0.6.
Using Instruction Tuning and Parameter Efficient Tuning on a smaller model,
this fine-tuned model is intended to improve dialogue policy.
The instruction dataset was generated from the MultiWOZ dataset. | {"library_name": "transformers", "tags": []} | SamaahKhan/TinyLlama-after-fine-tuning | null | [
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#transformers #safetensors #endpoints_compatible #region-us
|
### Model Description
This was model was fine-tuned from TinyLlama-1.1B-Chat-v0.6.
Using Instruction Tuning and Parameter Efficient Tuning on a smaller model,
this fine-tuned model is intended to improve dialogue policy.
The instruction dataset was generated from the MultiWOZ dataset. | [
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text-generation | transformers |
## Llamacpp imatrix Quantizations of wavecoder-ultra-1.1-6.7b
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2717">b2717</a> for quantization.
Original model: https://huggingface.co/microsoft/wavecoder-ultra-6.7b
All quants... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["code"], "datasets": ["humaneval"], "metrics": ["code_eval"], "license_link": "https://huggingface.co/microsoft/wavecoder-ultra-6.7b/blob/main/LICENSE", "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/wavecoder-ultra-1.1-6.7b-GGUF | null | [
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#transformers #gguf #code #text-generation #en #dataset-humaneval #license-mit #endpoints_compatible #region-us
| Llamacpp imatrix Quantizations of wavecoder-ultra-1.1-6.7b
----------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download a... | [] | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pedrogarcias/whisper-small-v2-jax | null | [
"transformers",
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"whisper",
"automatic-speech-recognition",
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"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #whisper #automatic-speech-recognition #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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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. -->
# privacy-masknig
This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-multilingual-cased", "model-index": [{"name": "privacy-masknig", "results": []}]} | taro-pudding/privacy-masknig | null | [
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| privacy-masknig
===============
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3686
* Overall Precision: 0.2885
* Overall Recall: 0.2143
* Overall F1: 0.2459
* Overall Accuracy: 0.8688
* Bod F1: 0.2375
... | [
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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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_1ep
This model is a fine-tuned version of [meta-llama/Meta-L... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_1ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_1ep | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_1ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.7501
- eval_runtime: 4.8828
- eval_samples_per_second: 40.96
- eval_steps... | [
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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": []} | Weblet/phi-1.5.2 | null | [
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#transformers #safetensors #phi #text-generation #custom_code #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.
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- Funded by [optional]:
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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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | JuudasMooses/detr | null | [
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| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.6795
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
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": []} | rPucs/gemma-2b-relextract-nospecialtoken-webnlg | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# 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": "microsoft/Phi-3-mini-4k-instruct"} | nk555/phi-3-mini_lora | null | [
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### Model Description
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- License:
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### Model Sources [optional]
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text-generation | transformers |
ProGen2-small finetuned on 7 protein families.
Bidirectional model trained on both N -> C and C -> N directions of protein sequences, specified by tokens "1" and "2" respectively.
See my [github repo](https://github.com/hugohrban/ProGen2-finetuning/tree/main) for more information.
Example usage:
```python
from t... | {"license": "bsd-3-clause", "library_name": "transformers", "tags": ["protein"]} | hugohrban/progen2-small-mix7-bidi | null | [
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|
ProGen2-small finetuned on 7 protein families.
Bidirectional model trained on both N -> C and C -> N directions of protein sequences, specified by tokens "1" and "2" respectively.
See my github repo for more information.
Example usage:
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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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_2ep
This model is a fine-tuned version of [meta-llama/Meta-L... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_2ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_2ep | null | [
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|
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_2ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.6141
- eval_runtime: 3.6441
- eval_samples_per_second: 54.883
- eval_step... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama-3-8B-sft-lora-ultrachat
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Llama-3-8B-sft-lora-ultrachat", "results": []}]} | APaul1/Llama-3-8B-sft-lora-ultrachat | null | [
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| Llama-3-8B-sft-lora-ultrachat
=============================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6619
Model description
-----------------
More information needed
Intended uses & li... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Rimyy/MistralGSMDataV1 | 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. -->
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_3iters_bs256_nodpo_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_3iters_bs256_nodpo_iter_1... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_3iters_bs256_nodpo_iter_1", "model-index": [{"name": "0.001_ablation_3iters_bs256_nodpo_iter_2", "results": []}]} | ShenaoZ/0.001_ablation_3iters_bs256_nodpo_iter_2 | null | [
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|
# 0.001_ablation_3iters_bs256_nodpo_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_3iters_bs256_nodpo_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More i... | [
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null | peft |
# Low-rank decomposition of [vicgalle/Roleplay-Llama-3-8B](https://huggingface.co/vicgalle/Roleplay-Llama-3-8B) using [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) as base
Created using [LoRD](https://github.com/thomasgauthier/LoRD)
Join my AI Discord: [rwitz](... | {"library_name": "peft", "base_model": "NousResearch/Meta-Llama-3-8B-Instruct"} | rwitz/Roleplay-Llama-3-8B-lora | null | [
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# Low-rank decomposition of vicgalle/Roleplay-Llama-3-8B using NousResearch/Meta-Llama-3-8B-Instruct as base
Created using LoRD
Join my AI Discord: rwitz
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"# Low-rank decomposition of vicgalle/Roleplay-Llama-3-8B using NousResearch/Meta-Llama-3-8B-Instruct as base\n\nCreated using LoRD\n\nJoin my AI Discord: rwitz"
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/llama-3-8b-php-instruct | null | [
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|
# Uploaded model
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | Mouad918/sf_mistral_7b_instruct_adapter | null | [
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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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_3ep
This model is a fine-tuned version of [meta-llama/Meta-L... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_3ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_3ep | null | [
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# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_3ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
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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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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilhubert-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name":... | oyemade/distilhubert-finetuned-gtzan | null | [
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| distilhubert-finetuned-gtzan
============================
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6691
* Accuracy: 0.86
Model description
-----------------
More information needed
Intended uses & limit... | [
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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": []} | LisiyLexa/mistral_7b_promptist_try2 | null | [
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text-generation | transformers | Quantizations of https://huggingface.co/NexaAIDev/Octopus-v2
# From original readme
## Example Use Cases
You can run the model on a GPU using the following code.
```python
from transformers import AutoTokenizer, GemmaForCausalLM
import torch
import time
def inference(input_text):
start_time = time.time()
... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "NexaAIDev", "Octopus-v2"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/Octopus-v2-imatrix-GGUF | null | [
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# From original readme
## Example Use Cases
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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. -->
# bt5-small-bangla_lemma
This model is a fine-tuned version of [csebuetnlp/banglat5_small](https://huggingface.co/csebuetnlp/bangl... | {"tags": ["generated_from_trainer"], "base_model": "csebuetnlp/banglat5_small", "model-index": [{"name": "bt5-small-bangla_lemma", "results": []}]} | arbitropy/bt5-small-bangla_lemma | null | [
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| bt5-small-bangla\_lemma
=======================
This model is a fine-tuned version of csebuetnlp/banglat5\_small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8512
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_4ep
This model is a fine-tuned version of [meta-llama/Meta-L... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_4ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_4ep | null | [
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|
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_4ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
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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": []} | sadpineapple/llama2-7b-chat-adapter | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_5ep
This model is a fine-tuned version of [meta-llama/Meta-L... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_5ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_5ep | null | [
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# mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_Lora_lr2e-6_5ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs128_nodpo_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggi... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_ablation_4iters_bs128_nodpo_iter_1", "results": []}]} | ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_iter_1 | null | [
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|
# 0.001_ablation_4iters_bs128_nodpo_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information need... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/8upohgt | null | [
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|
# Model Card for Model ID
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/arlineka/Ionic1-4x8
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Ionic1-4x8-GGUF
## Us... | {"language": ["en"], "library_name": "transformers", "base_model": "arlineka/Ionic1-4x8", "quantized_by": "mradermacher"} | mradermacher/Ionic1-4x8-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ImagineIt/StoryTeller-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/StoryTeller-70b... | {"language": ["en"], "library_name": "transformers", "base_model": "ImagineIt/StoryTeller-70b", "quantized_by": "mradermacher"} | mradermacher/StoryTeller-70b-GGUF | null | [
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#transformers #gguf #en #base_model-ImagineIt/StoryTeller-70b #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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": []}]} | kathleenkatchis/my_awesome_opus_books_model | null | [
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"endpoints_compatible",
"text-generation-inference",
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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: 3.1913
* Bleu: 0.2364
* Gen Len: 18.1036
Model description
-----------------
More information needed
Intended u... | [
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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": []} | selincildam/LLMChatbot-finetuned | null | [
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"endpoints_compatible",
"region:us"
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"1910.09700"
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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. -->
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr2e-6_1ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Ins... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr2e-6_1ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr2e-6_1ep | null | [
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|
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr2e-6_1ep
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:
- eval_loss: 3.1350
- eval_runtime: 3.1037
- eval_samples_per_second: 64.44
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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. -->
# speecht5-tts-finetuned-es-voxpopuli-commonvoice16
This model is a fine-tuned version of [Daniel981215/speecht5-tts-finetuned-es-... | {"tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "base_model": "Daniel981215/speecht5-tts-finetuned-es-voxpopuli-commonvoice16", "model-index": [{"name": "speecht5-tts-finetuned-es-voxpopuli-commonvoice16", "results": []}]} | Daniel981215/speecht5-tts-finetuned-es-voxpopuli-commonvoice16 | null | [
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| speecht5-tts-finetuned-es-voxpopuli-commonvoice16
=================================================
This model is a fine-tuned version of Daniel981215/speecht5-tts-finetuned-es-voxpopuli-commonvoice16 on the mozilla-foundation/common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* ... | [
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image-to-text | transformers | [Evaluation on chexpert-plus](https://github.com/Stanford-AIMI/chexpert-plus)
| {"language": "en", "license": "mit", "library_name": "transformers", "tags": ["image-to-text"], "widget": [{"src": "https://huggingface.co/IAMJB/interpret-cxr-impression-baseline/resolve/main/effusions-bibasal.jpg"}, {"src": "https://huggingface.co/IAMJB/interpret-cxr-impression-baseline/resolve/main/Chest-X-ray-taken-... | IAMJB/chexpert-findings-baseline | null | [
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null | 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"} | smacky42/sn17-6-1 | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-24T19:48:35+00:00 | [
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#diffusers #safetensors #arxiv-1910.09700 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | HannesKuslap/detr | null | [
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"object-detection",
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|
# detr
This model is a fine-tuned version of facebook/detr-resnet-50 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 foll... | [
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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. -->
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr2e-6_2ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Ins... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr2e-6_2ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr2e-6_2ep | null | [
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|
# mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_Lora_lr2e-6_2ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
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null | transformers |
# Uploaded model
- **Developed by:** baconnier
- **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", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | baconnier/finance_orpo_llama3_8B_51K_GGUF | null | [
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|
# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Guilherme34/Samantha-phi3 | null | [
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# Model Card for Model ID
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_5iters_bs128_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_ablation_5iters_bs128_iter_1", "results": []}]} | ShenaoZhang/0.001_ablation_5iters_bs128_iter_1 | null | [
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|
# 0.001_ablation_5iters_bs128_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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image-to-text | transformers | [Evaluation on chexpert-plus](https://github.com/Stanford-AIMI/chexpert-plus)
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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. -->
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- **Shared by [optional]:** [More Information Needed]
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null | peft |
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null | transformers |
**5/3/24 Update:** The model was given a bit more training and several gguf files were uploaded.
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-vit-base-patch16-224-vit-base-patch16-224-dogORnot
This model is a fine-tuned version of [google/vit-base-p... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-vit-base-patch16-224-vit-base-patch16-224-dogORnot", "results": [{"task": {"type": "image-classification", "name... | marcogallen/vit-base-patch16-224-vit-base-patch16-224-vit-base-patch16-224-dogORnot | null | [
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| vit-base-patch16-224-vit-base-patch16-224-vit-base-patch16-224-dogORnot
=======================================================================
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* Accu... | [
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null | transformers |
# Uploaded model
- **Developed by:** rbojja
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | rbojja/llama3_telugu | null | [
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image-to-text | transformers | [Evaluation on chexpert-plus](https://github.com/Stanford-AIMI/chexpert-plus)
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Ketki0203/xlm-roberta-base-hinditext
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base)... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "xlm-roberta-base", "model-index": [{"name": "Ketki0203/xlm-roberta-base-hinditext", "results": []}]} | Ketki0203/xlm-roberta-base-hinditext | null | [
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| Ketki0203/xlm-roberta-base-hinditext
====================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
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* Train Loss: 4.7056
* Validation Loss: 2.2357
* Epoch: 0
Model description
-----------------
More info... | [
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image-to-text | transformers | [Evaluation on chexpert-plus](https://github.com/Stanford-AIMI/chexpert-plus)
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null | peft | ## Training procedure
### Framework versions
- PEFT 0.4.0
| {"library_name": "peft"} | ai-chatbot-degen/aiaipie-2.1.1_ | null | [
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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"} | rubbrband/colorfulAnimeKawa_v30 | null | [
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null | pytorch |
# MARC Record Matching with Bibliographic Metadata
Traditional matching of MARC (Machine-Readable Cataloging) records has relied heavily on identifiers like OCLC numbers, ISBNs, LCCNs, etc. assigned by catalogers. However, this approach struggles with records having incorrect identifiers or lacking them altogether. Th... | {"library_name": "pytorch", "tags": ["pytorch_model_hub_mixin", "model_hub_mixin", "entity-matching", "MARC", "pytorch"], "inference": false} | cdlib/marc-match-ai | null | [
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| MARC Record Matching with Bibliographic Metadata
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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 Hi - Sanchit Gandhi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whi... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi - Sanchit Gandhi", "results": [{"task": {"type": "automatic-speech-recognition", "n... | Dua020/whisper-small-ur | null | [
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| Whisper Small Hi - Sanchit Gandhi
=================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2860
* Wer: 34.4874
Model description
-----------------
More information needed
In... | [
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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"]} | AsphyXIA/mamba-130m-hindi-pretrained | null | [
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text-classification | transformers |
# Twitter-roBERTa-base for Sentiment Analysis
<b>Labels</b>:
0 -> Negative;
1 -> Neutral;
2 -> Positive
## Example Pipeline
```python
from transformers import pipeline
sentiment_task = pipeline("sentiment-analysis", model=model_path, tokenizer=model_path)
sentiment_task("Covid cases are increasing fast!")
```
``... | {"language": "en", "datasets": ["tweet_eval"], "widget": [{"text": "Covid cases are increasing fast!"}]} | KartikeyVats3/twitter-roberta-base-sentiment-kartikey | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** grahamaco
- **License:** apache-2.0
- **Finetuned from model :** mistralai/Mistral-7B-v0.1
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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "mistralai/Mistral-7B-v0.1"} | grahamaco/Mistral-7B-SFT-Unsloth-LR1e-5-rsLoRA | null | [
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# Uploaded model
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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. -->
# gpt2_pretrain_fromScratch
This model is a fine-tuned version of [ytu-ce-cosmos/turkish-gpt2](https://huggingface.co/ytu-ce-cosmo... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "ytu-ce-cosmos/turkish-gpt2", "model-index": [{"name": "gpt2_pretrain_fromScratch", "results": []}]} | eminAydin/gpt2_pretrain_fromScratch | null | [
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| gpt2\_pretrain\_fromScratch
===========================
This model is a fine-tuned version of ytu-ce-cosmos/turkish-gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 8.3590
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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text-generation | transformers |
# GPT-2
Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
Pretrained model on English language using a causal language modeling (CLM) objective. It was introduced in
[this paper](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_... | {"language": "en", "license": "mit", "tags": ["exbert"]} | yoakki/gpt2 | null | [
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| GPT-2
=====
Test the whole generation capabilities here: URL
Pretrained model on English language using a causal language modeling (CLM) objective. It was introduced in
this paper
and first released at this page.
Disclaimer: The team releasing GPT-2 also wrote a
model card for their model. Content from this model... | [
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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"} | rubbrband/mhxlAventisHorizon_v30 | null | [
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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": []} | vasukiM/distilroberta-base-video-segmentation-v3 | null | [
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# Model Card for Model ID
## Model Details
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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": []} | AagamShah08/gemma-Poem-fine-tuned-bayAreaRockers | 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 |
# DanTagGen - delta (rev2)
DanTagGen(Danbooru Tag Generator) is inspired from p1atdev's dart project.
But with different arch, dataset, format and different training strategy.
## Difference between versions
- alpha: pretrain on 2M dataset, smaller batch size. Limited ability
- beta: pretrain on 5.3M dataset, larger b... | {"language": ["en"], "license": "cc-by-sa-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "art"], "datasets": ["KBlueLeaf/danbooru2023-sqlite"], "pipeline_tag": "text-generation", "widget": [{"text": "quality: masterpiece\nrating: safe\nartist: <|empty|>\ncharacters: <|empty|>\ncopyrights: <|emp... | KBlueLeaf/DanTagGen-delta-rev2 | null | [
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|
# DanTagGen - delta (rev2)
DanTagGen(Danbooru Tag Generator) is inspired from p1atdev's dart project.
But with different arch, dataset, format and different training strategy.
## Difference between versions
- alpha: pretrain on 2M dataset, smaller batch size. Limited ability
- beta: pretrain on 5.3M dataset, larger b... | [
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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": []} | perelloliver/AgileClassiPHI_ethos | null | [
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# Model Card for Model ID
## Model Details
### 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. -->
# t5-base-neg2pos
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achiev... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-base", "model-index": [{"name": "t5-base-neg2pos", "results": []}]} | Pushparaj2811/t5-base-neg2pos | null | [
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| t5-base-neg2pos
===============
This model is a fine-tuned version of t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1739
* Rouge1: 62.4361
* Rouge2: 46.2313
* Rougel: 60.8217
* Rougelsum: 60.8436
* Gen Len: 14.2644
Model description
-----------------
More info... | [
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.4_Seed103 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.4_Seed103 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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- Shared by [optional]:
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- Language(s) (NLP):
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- Finetuned from model [optional]:
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null | transformers |
# Uploaded model
- **Developed by:** vdavidr
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | vdavidr/mistral-7b-instruct-v0.2-bnb-4bit_Finetuned_usloth_dataset_size_364_epochs_5 | null | [
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# Uploaded model
- Developed by: vdavidr
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# detr_v2_noTransform_30
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr_v2_noTransform_30", "results": []}]} | ssamperr/detr_v2_noTransform_30 | null | [
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"endpoints_compatible",
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#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
|
# detr_v2_noTransform_30
This model is a fine-tuned version of facebook/detr-resnet-50 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 hyperpara... | [
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null | transformers |
# AlirezaF138/AVA-Mistral-7B-V5-Q4_K_M-GGUF
This model was converted to GGUF format from [`MehdiHosseiniMoghadam/AVA-Mistral-7B-V5`](https://huggingface.co/MehdiHosseiniMoghadam/AVA-Mistral-7B-V5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the ... | {"library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | AlirezaF138/AVA-Mistral-7B-V5-Q4_K_M-GGUF | null | [
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#transformers #gguf #llama-cpp #gguf-my-repo #endpoints_compatible #region-us
|
# AlirezaF138/AVA-Mistral-7B-V5-Q4_K_M-GGUF
This model was converted to GGUF format from 'MehdiHosseiniMoghadam/AVA-Mistral-7B-V5' 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.
... | [
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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": []} | Weblet/phi-1.5.2-turbo17139863402710612_cognitivecomputations-Code-290k-ShareGPT-Vicuna_train51 | 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-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-70m_mz-130_PasswordMatch_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-70m](https:/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-130_PasswordMatch_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-130_PasswordMatch_n-its-10-seed-4 | null | [
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|
# robust_llm_pythia-70m_mz-130_PasswordMatch_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Traini... | [
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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-70m_mz-130_PasswordMatch_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-70m](https:/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-130_PasswordMatch_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-130_PasswordMatch_n-its-10-seed-3 | null | [
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|
# robust_llm_pythia-70m_mz-130_PasswordMatch_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Traini... | [
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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": []} | harir/stablelm-zephyr-3b-review-toxicity | null | [
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|
# Model Card for Model ID
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # Chaos RP
A chaotic force beckons for you, will you heed her call?
Built upon an intelligent foundation and tuned for roleplaying, this model will fulfill your wildest fantasies with the bare minim... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["ChaoticNeutrals/IQ_Test_l3_8B", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3"]} | zaq-hack/Chaos_RP_l3_8B-bpw800-h8-exl2-rpcal | null | [
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| # Chaos RP
!image/png
A chaotic force beckons for you, will you heed her call?
Built upon an intelligent foundation and tuned for roleplaying, this model will fulfill your wildest fantasies with the bare minimum of effort.
Enjoy! | [
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text-generation | transformers |
# Model Card for Phi 1.5B Microsoft Trained Sentiment Analysis Model
<!-- Provide a quick summary of what the model is/does. -->
This model performs sentiment analysis on sentences, classifying them as either 'positive' or 'negative'. It is trained on the IMDB dataset and has been fine-tuned for this task.
## Model... | {"language": ["en"], "library_name": "transformers", "tags": ["nlp"], "widget": [{"text": "Your task is to classify sentences' sentiment as 'positive' or 'negative'. Your answer should be one word, either 'positive' or 'negative'. Sentence: I love this movie! Answer: "}, {"text": "Your task is to classify sentences' se... | matheusrdgsf/phi-sentiment-analysis-model | null | [
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# Model Card for Phi 1.5B Microsoft Trained Sentiment Analysis Model
This model performs sentiment analysis on sentences, classifying them as either 'positive' or 'negative'. It is trained on the IMDB dataset and has been fine-tuned for this task.
## Model Details
### Model Description
Phi 1.5B Microsoft trained... | [
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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": []} | vasukiM/distilroberta-base-video-segmentation-v4 | null | [
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|
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## 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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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. -->
# my_jp_asr_cv13_model
This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-japanese](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "jonatasgrosman/wav2vec2-large-xlsr-53-japanese", "model-index": [{"name": "my_jp_asr_cv13_model", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Re... | tristayqc/my_jp_asr_cv13_model | null | [
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| my\_jp\_asr\_cv13\_model
========================
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-japanese on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1772
* Cer: 0.3512
* Wer: 0.875
Model description
-----------------
More ... | [
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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": []} | matheusrdgsf/phi-sentiment-analysis-model-adapters | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# 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": []} | melitacruces/ft-monster | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T20:35:09+00:00 | [
"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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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="ikorennoy/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"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": ... | ikorennoy/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-24T20:35:43+00:00 | [] | [] | TAGS
#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 | # MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2 AWQ
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [Llama-3-8B-Instruct-DPO-v0.2](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2)
<img src="./llama-3-merges.webp" alt="Goku 8x22B v0.1 Logo" width="500" style="mar... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Llama-3-8B-Instruct-DPO-v0.2-AWQ | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"conversational",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T20:36:08+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2 AWQ
- Model creator: MaziyarPanahi
- Original model: Llama-3-8B-Instruct-DPO-v0.2
<img src="./URL" alt="Goku 8x22B v0.1 Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
## Model Summary
This model is a fine-tune (DPO) of 'meta-llama/Meta... | [
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"## Model Summary\n\nThis model is a fine-tune (... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="ikorennoy/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.52 +/... | ikorennoy/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-24T20:40:43+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## 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": []} | OwOOwO/stable-lol5 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T20:41:41+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
GGUFs for Moistral v3 - https://huggingface.co/TheDrummer/Moistral-11B-v3
iMatrix generated using Kalomaze's groups_merged.txt | {"license": "other", "tags": ["not-for-all-audiences"], "license_name": "freeuse", "license_link": "LICENSE"} | MarsupialAI/Moistral-11B-v3_iMatrix_GGUF | null | [
"gguf",
"not-for-all-audiences",
"license:other",
"region:us"
] | null | 2024-04-24T20:42:37+00:00 | [] | [] | TAGS
#gguf #not-for-all-audiences #license-other #region-us
|
GGUFs for Moistral v3 - URL
iMatrix generated using Kalomaze's groups_merged.txt | [] | [
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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... | gvm99/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-24T20:47:10+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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] |
audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-base-finetuned-ks
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2ve... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["superb"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2-base-finetuned-ks", "results": []}]} | ChewyKnowlt/wav2vec2-base-finetuned-ks | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"dataset:superb",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T20:48:21+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #audio-classification #generated_from_trainer #dataset-superb #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
|
# wav2vec2-base-finetuned-ks
This model is a fine-tuned version of facebook/wav2vec2-base on the superb dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1135
- eval_accuracy: 0.9797
- eval_runtime: 127.1858
- eval_samples_per_second: 53.449
- eval_steps_per_second: 1.675
- epoch: 3.0... | [
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null | null |
# kat33/Mixtral-8x7B-Instruct-v0.1-Q3_K_M-GGUF
This model was converted to GGUF format from [`mistralai/Mixtral-8x7B-Instruct-v0.1`](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [or... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "inference": {"parameters": {"temperature": 0.5}}, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | kat33/Mixtral-8x7B-Instruct-v0.1-Q3_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"fr",
"it",
"de",
"es",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T20:50:32+00:00 | [] | [
"fr",
"it",
"de",
"es",
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #fr #it #de #es #en #license-apache-2.0 #region-us
|
# kat33/Mixtral-8x7B-Instruct-v0.1-Q3_K_M-GGUF
This model was converted to GGUF format from 'mistralai/Mixtral-8x7B-Instruct-v0.1' 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.
... | [
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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":... | eulpicard/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-24T20:50:42+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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] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nT... | [
34,
41,
17
] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add you... |
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