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text-generation | transformers | [Research Log: RLFCV2, Petertodd, the paperclip maximizer](https://www.lesswrong.com/posts/doLkRMasXMKyafJrz/research-log-rlfcv2-training-phi-1-5-gpt2xl-and-falcon-rw-1b)
| {} | migueldeguzmandev/papercliptodd_v3 | 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/vztd30q | 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 | null | ## Sea-lion2pandas
fine-tuned from [sea-lion-7b-instruct](aisingapore/sea-lion-7b-instruct) with question-pandas expression pairs.
## How to use:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base_model = "aisingapore/sea-lion-7b-instruct"
adapter_model... | {"language": ["th", "en"], "license": "mit", "datasets": ["AIAT/Optimizer-datasetfinal"], "base_model": "aisingapore/sea-lion-7b-instruct", "pipeline_tag": "text-generation"} | AIAT/Optimizer-sealion2pandas | null | [
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| ## Sea-lion2pandas
fine-tuned from sea-lion-7b-instruct with question-pandas expression pairs.
## How to use:
# sponser
!image/png | [
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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": []} | shallow6414/5570cdh | 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-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. -->
# ceb_b128_le4_s4000
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": "ceb_b128_le4_s4000", "results": []}]} | mikhail-panzo/ceb_b128_le4_s4000 | null | [
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| ceb\_b128\_le4\_s4000
=====================
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: 0.3981
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. -->
# RM-harmless_harmless_gpt3_loraR64_20000_gemma2b_lr5e-05_bs2_g4
This model is a fine-tuned version of [google/gemma-2b](https://h... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-harmless_harmless_gpt3_loraR64_20000_gemma2b_lr5e-05_bs2_g4", "results": []}]} | Holarissun/RM-harmless_harmless_gpt3_loraR64_20000_gemma2b_lr5e-05_bs2_g4 | null | [
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#peft #safetensors #trl #reward-trainer #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| RM-harmless\_harmless\_gpt3\_loraR64\_20000\_gemma2b\_lr5e-05\_bs2\_g4
======================================================================
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0010
* Accuracy: 0.9995
Mode... | [
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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. -->
# ceb_b32_le5_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": "ceb_b32_le5_s8000", "results": []}]} | mikhail-panzo/ceb_b32_le5_s8000 | null | [
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| ceb\_b32\_le5\_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: 0.3928
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": []} | shallow6414/060fl8o | null | [
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null | transformers |
# 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. -->
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": []} | GamblerOnTrain/PFES-077 | 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. -->
# RM-helpful_helpful_gpt4_loraR64_20000_gemma2b_lr5e-06_bs2_g4
This model is a fine-tuned version of [google/gemma-2b](https://hug... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-helpful_helpful_gpt4_loraR64_20000_gemma2b_lr5e-06_bs2_g4", "results": []}]} | Holarissun/RM-helpful_helpful_gpt4_loraR64_20000_gemma2b_lr5e-06_bs2_g4 | null | [
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#peft #safetensors #trl #reward-trainer #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| RM-helpful\_helpful\_gpt4\_loraR64\_20000\_gemma2b\_lr5e-06\_bs2\_g4
====================================================================
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0042
* Accuracy: 0.9990
Model de... | [
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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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#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 | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
llama-160m - bnb 4bits
- Model creator: https://huggingface.co/JackFram/
- Original model: https://huggingface.co/JackFram/l... | {} | RichardErkhov/JackFram_-_llama-160m-4bits | null | [
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"2305.09781"
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#transformers #safetensors #llama #text-generation #arxiv-2305.09781 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
llama-160m - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: apache-2.0
language:
- en
datasets:
- wikipedia
pipeline_tag: text-generation
---
## Model description
This is a LLaMA-like model wi... | [
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null | null | My dummy model | {} | Paoloant/dummy | null | [
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#region-us
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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 - English
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-small", "model-index": [{"name": "CRF Transformer Whisper tiny - English", "results": []}]} | phannhat/CRF_Transformer_Whisper_tiny_en | null | [
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|
# CRF Transformer Whisper tiny - English
This model is a fine-tuned version of openai/whisper-small on the common_voice_en dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
##... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
llama-160m - bnb 8bits
- Model creator: https://huggingface.co/JackFram/
- Original model: https://huggingface.co/JackFram/l... | {} | RichardErkhov/JackFram_-_llama-160m-8bits | null | [
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"2305.09781"
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#transformers #safetensors #llama #text-generation #arxiv-2305.09781 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
llama-160m - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: apache-2.0
language:
- en
datasets:
- wikipedia
pipeline_tag: text-generation
---
## Model description
This is a LLaMA-like model wi... | [
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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)
llama-160m - GGUF
- Model creator: https://huggingface.co/JackFram/
- Original model: https://huggingface.co/JackFram/llama-... | {} | RichardErkhov/JackFram_-_llama-160m-gguf | null | [
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"2305.09781"
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#gguf #arxiv-2305.09781 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
llama-160m - GGUF
* Model creator: URL
* Original model: URL
Name: llama-160m.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.07GB
Name: llama-160m.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.07GB
Name: llama-160m.IQ3\_S.gguf, Quant method: I... | [] | [
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text-generation | transformers |
# Hermes 2 Pro - Llama-3 8B
## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well... | {"language": ["en"], "license": "apache-2.0", "tags": ["Llama-3", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode", "axolotl"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "NousResearch/Meta-Llama-3-8B", "widget": [{"example_title": "He... | blockblockblock/Hermes-2-Pro-Llama-3-8B-bpw3.5-exl2 | null | [
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"base_model:Nou... | null | 2024-05-03T06:48:20+00:00 | [] | [
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# Hermes 2 Pro - Llama-3 8B
!image/png
## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.
This new version of Herme... | [
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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. -->
# LongT5-XLarge-NSPCC
This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/long-t5-tglobal-xl", "model-index": [{"name": "LongT5-XLarge-NSPCC", "results": []}]} | scott156/LongT5XL1Epoch | null | [
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#peft #safetensors #generated_from_trainer #base_model-google/long-t5-tglobal-xl #license-apache-2.0 #region-us
| LongT5-XLarge-NSPCC
===================
This model is a fine-tuned version of google/long-t5-tglobal-xl on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8188
* Rouge1: 0.4007
* Rouge2: 0.1257
* Rougel: 0.2039
* Rougelsum: 0.2036
* Gen Len: 358.8723
Model description
------... | [
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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. -->
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": []} | Lakshit11/BERT-15-categories-retrained | null | [
"transformers",
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"arxiv:1910.09700",
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#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-generation | transformers |
# Llama 3 8B ChatQA - AWQ
- Model creator: [Meta Llama 2](https://huggingface.co/meta-llama)
- Original model: [Llama 3 8B ChatQA](https://huggingface.co/nvidia/Llama3-ChatQA-1.5-8B)
<!-- description start -->
## Description
This repo contains AWQ model files for [Nvidia's Llama 3 8B ChatQA](https://huggingface.co/n... | {"language": ["en"], "license": "llama3", "tags": ["nvidia", "chatqa-1.5", "chatqa", "llama-3", "pytorch"], "pipeline_tag": "text-generation"} | Sreenington/Llama-3-8B-ChatQA-AWQ | null | [
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| Llama 3 8B ChatQA - AWQ
=======================
* Model creator: Meta Llama 2
* Original model: Llama 3 8B ChatQA
Description
-----------
This repo contains AWQ model files for Nvidia's Llama 3 8B ChatQA.
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currentl... | [
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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/kx9v4zy | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
GPT2-XL SFT on Deita dataset to change Sams mind. Supports multi-turn dialogue within the range of its capabilities.
Prompt Example:
```
### System:
You are an AI assistant. User will give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify... | {"license": "apache-2.0", "datasets": ["KnutJaegersberg/Deita-6k"]} | KnutJaegersberg/gpt2-chatbot | null | [
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|
GPT2-XL SFT on Deita dataset to change Sams mind. Supports multi-turn dialogue within the range of its capabilities.
Prompt Example:
!image/png
| [] | [
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text-generation | transformers | # nbeerbower/Suppe-v1-7B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [Suppe-v1-7B](https://huggingface.co/nbeerbower/Suppe-v1-7B)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Example Python code
```pytho... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Suppe-v1-7B-AWQ | null | [
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"region:us"
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#transformers #safetensors #mistral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # nbeerbower/Suppe-v1-7B AWQ
- Model creator: nbeerbower
- Original model: Suppe-v1-7B
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared t... | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swimmingcrab/DAGPap24-deberta-base | 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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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": []} | shtapm/whisper-large_0502_decoder10_200steps | null | [
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"1910.09700"
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# Model Card for Model ID
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text-generation | transformers | # flammenai/flammen15-mistral-7B AWQ
- Model creator: [flammenai](https://huggingface.co/flammenai)
- Original model: [flammen15-mistral-7B](https://huggingface.co/flammenai/flammen15-mistral-7B)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Exampl... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/flammen15-mistral-7B-AWQ | null | [
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| # flammenai/flammen15-mistral-7B AWQ
- Model creator: flammenai
- Original model: flammen15-mistral-7B
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantiza... | [
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null | null |
# Steelskull/L3-Arcania-4x8b-Q5_K_M-GGUF
This model was converted to GGUF format from [`Steelskull/L3-Arcania-4x8b`](https://huggingface.co/Steelskull/L3-Arcania-4x8b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:/... | {"license": "apache-2.0", "tags": ["not-for-all-audiences", "llama-cpp", "gguf-my-repo"]} | SteelQuants/L3-Arcania-4x8b-Q5_K_M-GGUF | null | [
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#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# Steelskull/L3-Arcania-4x8b-Q5_K_M-GGUF
This model was converted to GGUF format from 'Steelskull/L3-Arcania-4x8b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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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. -->
# RM-helpful_helpful_contrast_loraR64_20000_gemma2b_lr5e-05_bs2_g4
This model is a fine-tuned version of [google/gemma-2b](https:/... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-helpful_helpful_contrast_loraR64_20000_gemma2b_lr5e-05_bs2_g4", "results": []}]} | Holarissun/RM-helpful_helpful_contrast_loraR64_20000_gemma2b_lr5e-05_bs2_g4 | null | [
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| RM-helpful\_helpful\_contrast\_loraR64\_20000\_gemma2b\_lr5e-05\_bs2\_g4
========================================================================
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0148
* Accuracy: 0.997
M... | [
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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": []} | golf2248/9sy0ov3 | 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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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-ethos
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit... | {"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-ethos", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name... | pk3388/vit-base-patch16-224-ethos | null | [
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| vit-base-patch16-224-ethos
==========================
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2506
* Accuracy: 0.96
Model description
-----------------
More information needed
Intended uses... | [
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text-generation | transformers |
# Hermes 2 Pro - Llama-3 8B
## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well... | {"language": ["en"], "license": "apache-2.0", "tags": ["Llama-3", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode", "axolotl"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "NousResearch/Meta-Llama-3-8B", "widget": [{"example_title": "He... | blockblockblock/Hermes-2-Pro-Llama-3-8B-bpw3.7-exl2 | null | [
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"base_model:Nou... | null | 2024-05-03T07:03:09+00:00 | [] | [
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# Hermes 2 Pro - Llama-3 8B
!image/png
## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | Max87152/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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unconditional-image-generation | diffusers |
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
Describe your model here
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Ketansomewhere/UltraSound-lung')
image = pipeline().images[0]
image... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | Ketansomewhere/UltraSound-lung | null | [
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# Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class
Describe your model here
## 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": []} | abc88767/model53 | 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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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": []} | golf2248/5t237uz | 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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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. -->
# mistral-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "mistral-ft", "results": []}]} | yo25/mistral-ft | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| mistral-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6850
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** qbitmaze
- **License:** apache-2.0
- **Finetuned from model :** TinyLlama/TinyLlama-1.1B-Chat-v1.0
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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | qbitmaze/ibrain_0003 | null | [
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|
# Uploaded model
- Developed by: qbitmaze
- License: apache-2.0
- Finetuned from model : TinyLlama/TinyLlama-1.1B-Chat-v1.0
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RM-harmless_harmless_gpt4_loraR64_20000_gemma2b_lr5e-05_bs2_g4
This model is a fine-tuned version of [google/gemma-2b](https://h... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-harmless_harmless_gpt4_loraR64_20000_gemma2b_lr5e-05_bs2_g4", "results": []}]} | Holarissun/RM-harmless_harmless_gpt4_loraR64_20000_gemma2b_lr5e-05_bs2_g4 | null | [
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#peft #safetensors #trl #reward-trainer #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| RM-harmless\_harmless\_gpt4\_loraR64\_20000\_gemma2b\_lr5e-05\_bs2\_g4
======================================================================
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0008
* Accuracy: 0.9995
Mode... | [
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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. -->
# RM-harmless_harmless_contrast_loraR64_20000_gemma2b_lr1e-05_bs2_g4
This model is a fine-tuned version of [google/gemma-2b](https... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-harmless_harmless_contrast_loraR64_20000_gemma2b_lr1e-05_bs2_g4", "results": []}]} | Holarissun/RM-harmless_harmless_contrast_loraR64_20000_gemma2b_lr1e-05_bs2_g4 | null | [
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#peft #safetensors #trl #reward-trainer #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| RM-harmless\_harmless\_contrast\_loraR64\_20000\_gemma2b\_lr1e-05\_bs2\_g4
==========================================================================
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0694
* Accuracy: 0.979... | [
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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. -->
# roberta-large-plm-nsp-100000-1e06
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-large", "model-index": [{"name": "roberta-large-plm-nsp-100000-1e06", "results": []}]} | mhr2004/roberta-large-plm-nsp-100000-1e06 | null | [
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#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-large #license-mit #autotrain_compatible #endpoints_compatible #region-us
| roberta-large-plm-nsp-100000-1e06
=================================
This model is a fine-tuned version of roberta-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2181
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
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text-generation | transformers |
# Hermes 2 Pro - Llama-3 8B
## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well... | {"language": ["en"], "license": "apache-2.0", "tags": ["Llama-3", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode", "axolotl"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "NousResearch/Meta-Llama-3-8B", "widget": [{"example_title": "He... | blockblockblock/Hermes-2-Pro-Llama-3-8B-bpw4-exl2 | null | [
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# Hermes 2 Pro - Llama-3 8B
!image/png
## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.
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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
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text-to-image | diffusers |
# 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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null | null |
# Q-int4 unicode-llama-2-chat-Hf-q4-2
- A condensed edition of Llama 2 chat hugging face, designed for deployment with minimal hardware specifications.
Model Developers Ranjanunicode
Input Models input text only.
Output Models generate text only.
## Model Details
### Model Description
<!-- Provide a longer summ... | {"language": ["en"], "license": "llama2", "metrics": ["perplexity"], "base_model": ["meta-llama/Llama-2-7b-chat-hf"]} | Ranjanunicode/unicode-llama-2-chat-Hf-q4-2 | null | [
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# Q-int4 unicode-llama-2-chat-Hf-q4-2
- A condensed edition of Llama 2 chat hugging face, designed for deployment with minimal hardware specifications.
Model Developers Ranjanunicode
Input Models input text only.
Output Models generate text only.
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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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automatic-speech-recognition | peft |
# Model Card for Model ID
Let me know if this one works well or not. Gathering data. Nuts and bolts are in the 10k repository. Thanks :)
## Model Details
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Let me know if this one works well or not. Gathering data. Nuts and bolts are in the 10k repository. Thanks :)
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### 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
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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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# Model Card for Model ID
## Model Details
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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": []} | shtapm/whisper-large_0502_decoder11_200steps | 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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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. -->
# DAGPap24-deberta-base-ft
This model was trained from scratch on an unknown dataset.
## Model description
More information need... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "DAGPap24-deberta-base-ft", "results": []}]} | swimmingcrab/DAGPap24-deberta-base-ft | null | [
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# DAGPap24-deberta-base-ft
This model was trained from scratch 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-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/zwiim1r | 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. -->
# RM-harmless_harmless_human_loraR64_20000_gemma2b_lr5e-05_bs2_g4
This model is a fine-tuned version of [google/gemma-2b](https://... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-harmless_harmless_human_loraR64_20000_gemma2b_lr5e-05_bs2_g4", "results": []}]} | Holarissun/RM-harmless_harmless_human_loraR64_20000_gemma2b_lr5e-05_bs2_g4 | null | [
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| RM-harmless\_harmless\_human\_loraR64\_20000\_gemma2b\_lr5e-05\_bs2\_g4
=======================================================================
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5488
* Accuracy: 0.7229
Mo... | [
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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": []} | saransh03sharma/mintrec2-llama-2-13b-125 | 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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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_withdpo_4iters_bs256_5102lr_misit_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https:... | {"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": "0.0001_withdpo_4iters_bs256_5102lr_misit_iter_1", "results": []}]} | ShenaoZ/0.0001_withdpo_4iters_bs256_5102lr_misit_iter_1 | null | [
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|
# 0.0001_withdpo_4iters_bs256_5102lr_misit_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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null | mlx |
# mlx-community/Mixtral-8x7B-Instruct-v0.1-8bit
This model was converted to MLX format from [`mistralai/Mixtral-8x7B-Instruct-v0.1`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) for more details on the model.
## Use with mlx
```bash... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["mlx"], "inference": {"parameters": {"temperature": 0.5}}, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | mlx-community/Mixtral-8x7B-Instruct-v0.1-8bit | null | [
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|
# mlx-community/Mixtral-8x7B-Instruct-v0.1-8bit
This model was converted to MLX format from ['mistralai/Mixtral-8x7B-Instruct-v0.1']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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. -->
# train_2024-05-03-06-11-08
This model is a fine-tuned version of [MediaTek-Research/Breeze-7B-Instruct-v1_0](https://huggingface.... | {"license": "other", "library_name": "peft", "tags": ["llama-factory", "lora", "generated_from_trainer"], "base_model": "MediaTek-Research/Breeze-7B-Instruct-v1_0", "model-index": [{"name": "train_2024-05-03-06-11-08", "results": []}]} | twjHong/Breeze7B-QLoRA-weight | null | [
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# train_2024-05-03-06-11-08
This model is a fine-tuned version of MediaTek-Research/Breeze-7B-Instruct-v1_0 on the docker_NL dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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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": []} | devkya/custom-peft-whiper-small-ko-v2 | null | [
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text-generation | transformers |
# Hermes 2 Pro - Llama-3 8B
## Model Description
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# Hermes 2 Pro - Llama-3 8B
!image/png
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Uploaded model
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This mistral 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
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### Model Description
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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 generate... | {"library_name": "transformers", "tags": []} | saransh03sharma/mintrec2-llama-2-13b-175 | null | [
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text-to-image | diffusers |
# Model Card for Model ID
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
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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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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_niki-041a_imdb_random-token-1280_10-rounds_seed-1
This model is a fine-tuned version of [EleutherAI/pythia... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_niki-041a_imdb_random-token-1280_10-rounds_seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_niki-041a_imdb_random-token-1280_10-rounds_seed-1 | null | [
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# robust_llm_pythia-70m_niki-041a_imdb_random-token-1280_10-rounds_seed-1
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More information needed
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More information needed
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More information need... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-31m_niki-041a_imdb_random-token-1280_10-rounds_seed-3
This model is a fine-tuned version of [EleutherAI/pythia... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_niki-041a_imdb_random-token-1280_10-rounds_seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_niki-041a_imdb_random-token-1280_10-rounds_seed-3 | null | [
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|
# robust_llm_pythia-31m_niki-041a_imdb_random-token-1280_10-rounds_seed-3
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information need... | [
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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. -->
# llama3-meta_material
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-L... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "llama3-meta_material", "results": []}]} | Jackie999/llama3-meta_material | null | [
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|
# llama3-meta_material
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
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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. -->
# donut_synDB_1300_new
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/don... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut_synDB_1300_new", "results": []}]} | Donut01/donut_synDB_1300_new | null | [
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"license:mit",
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| donut\_synDB\_1300\_new
=======================
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3333
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 7e-05\n* train\\_batch\\_size: 5\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 6\n* total\\_train\\_batch\\_size: 30\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper_small.hi", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name... | charioteer/whisper_small.hi | null | [
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| whisper\_small.hi
=================
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: 0.6973
* Wer: 47.3292
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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/vjjawut | 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 | null |
# newsletter/zephyr-7b-beta-Q6_K-GGUF
This model was converted to GGUF format from [`HuggingFaceH4/zephyr-7b-beta`](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:... | {"language": ["en"], "license": "mit", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "widget": [{"example_title": "Pirate!", "messages": [{"role": "system", "content": "Yo... | newsletter/zephyr-7b-beta-Q6_K-GGUF | null | [
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|
# newsletter/zephyr-7b-beta-Q6_K-GGUF
This model was converted to GGUF format from 'HuggingFaceH4/zephyr-7b-beta' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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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. -->
# mt5-summarize-ru-new-version
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-sm... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-small", "model-index": [{"name": "mt5-summarize-ru-new-version", "results": []}]} | doktan/mt5-summarize-ru-new-version | null | [
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|
# mt5-summarize-ru-new-version
This model is a fine-tuned version of google/mt5-small on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOpeepeepoopoo/herewegoagain8 | 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-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_finetuned_mozilla_id
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/sp... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_finetuned_mozilla_id", "results": []}]} | bryandts/speecht5_finetuned_mozilla_id | null | [
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| speecht5\_finetuned\_mozilla\_id
================================
This model is a fine-tuned version of microsoft/speecht5\_tts on the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4394
Model description
-----------------
More information needed
Intended uses... | [
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text-generation | transformers |
# Tinyllama-taskarith1
Tinyllama-breadcrumbs is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [vihangd/DopeyTinyLlama-1.1B-v1](https://huggingface.co/vihangd/DopeyTinyLlama-1.1B-v1)
* [Tensoic/TinyLlama-1.1B-3T-openhermes... | {"tags": ["merge", "mergekit", "lazymergekit", "vihangd/DopeyTinyLlama-1.1B-v1", "Tensoic/TinyLlama-1.1B-3T-openhermes", "phanerozoic/Tiny-Pirate-1.1b-v0.1"], "base_model": ["vihangd/DopeyTinyLlama-1.1B-v1", "Tensoic/TinyLlama-1.1B-3T-openhermes", "phanerozoic/Tiny-Pirate-1.1b-v0.1"]} | aipib/Tinyllama-taskarith1 | null | [
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"base_model:Tensoic/Ti... | null | 2024-05-03T07:48:06+00:00 | [] | [] | TAGS
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# Tinyllama-taskarith1
Tinyllama-breadcrumbs is a merge of the following models using LazyMergekit:
* vihangd/DopeyTinyLlama-1.1B-v1
* Tensoic/TinyLlama-1.1B-3T-openhermes
* phanerozoic/Tiny-Pirate-1.1b-v0.1
## Configuration
## Usage
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text-generation | transformers |
# Hermes 2 Pro - Llama-3 8B
## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well... | {"language": ["en"], "license": "apache-2.0", "tags": ["Llama-3", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode", "axolotl"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "NousResearch/Meta-Llama-3-8B", "widget": [{"example_title": "He... | blockblockblock/Hermes-2-Pro-Llama-3-8B-bpw4.4-exl2 | null | [
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# Hermes 2 Pro - Llama-3 8B
!image/png
## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.
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text-generation | transformers |
# Model Card for Model ID
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null | fastai | # Model Card for Model ID
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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null | transformers |
# Uploaded model
- **Developed by:** abiyo27
- **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", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | abiyo27/fiscaliste-4bit-gguf | null | [
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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": []} | Hexamind/Mistral-7B-Instruct-spider | 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": []} | EpicJhon/l3-1 | 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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition", "model-index": [{"name": "xls-r-amharic", "results": []}]} | Gizachew/xls-r-amharic | null | [
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xls-r-amharic
=============
This model is a fine-tuned version of ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0901
* Accuracy: 0.9818
... | [
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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. -->
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token-classification | spacy | English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature | Description |
| --- | --- |
| **Name** | `en_core_web_md` |
| **Version** | `3.7.1` |
| **spaCy** | `>=3.7.2,<3.8.0` |
| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`... | {"language": ["en"], "license": "mit", "tags": ["spacy", "token-classification"]} | SuramyaPokharel/en_core_web_md | null | [
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### Accuracy
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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": []} | ohsuz/exp_pro_repo | null | [
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null | transformers |
# 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="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"} | dpriver/lora_model_sqlformatter_v1 | null | [
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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"], "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "type": "emotion... | lostsartre/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: 0.2142
* Accuracy: 0.9265
* F1: 0.9266
Model description
-----------------
Mo... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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#peft #region-us
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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/qq8nqvd | null | [
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null | transformers |
# Model Card for Model ID
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## Model Details
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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. -->
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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. -->
# RM-harmless_harmless_gpt3_loraR64_20000_gemma2b_lr1e-05_bs2_g4
This model is a fine-tuned version of [google/gemma-2b](https://h... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-harmless_harmless_gpt3_loraR64_20000_gemma2b_lr1e-05_bs2_g4", "results": []}]} | Holarissun/RM-harmless_harmless_gpt3_loraR64_20000_gemma2b_lr1e-05_bs2_g4 | null | [
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| RM-harmless\_harmless\_gpt3\_loraR64\_20000\_gemma2b\_lr1e-05\_bs2\_g4
======================================================================
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0006
* Accuracy: 1.0
Model d... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** duxx
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b
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/unslothai/unsloth/main/images/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b"} | duxx/rag-v.01 | null | [
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|
# Uploaded model
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-1... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/Phi-3-mini-128k-instruct", "model-index": [{"name": "results", "results": []}]} | hackint0sh/results | null | [
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# results
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparame... | [
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"# results\n\nThis model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset.",
"## Model description\n\nMore information needed",
... | [
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"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-microsoft/Phi-3-mini-128k-instruct #license-mit #region-us \n# results\n\nThis model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset.## Model description\n\nMore information needed## Intended use... |
reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter4", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-P... | rwr20/Reinforce-Pixelcopter4 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-05-03T08:03:00+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
] | [
"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n",
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of ... | [
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the De... |
text-generation | transformers |
# Hermes 2 Pro - Llama-3 8B
## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well... | {"language": ["en"], "license": "apache-2.0", "tags": ["Llama-3", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode", "axolotl"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "NousResearch/Meta-Llama-3-8B", "widget": [{"example_title": "He... | blockblockblock/Hermes-2-Pro-Llama-3-8B-bpw4.6-exl2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"Llama-3",
"instruct",
"finetune",
"chatml",
"DPO",
"RLHF",
"gpt4",
"synthetic data",
"distillation",
"function calling",
"json mode",
"axolotl",
"conversational",
"en",
"dataset:teknium/OpenHermes-2.5",
"base_model:Nou... | null | 2024-05-03T08:03:51+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #Llama-3 #instruct #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #function calling #json mode #axolotl #conversational #en #dataset-teknium/OpenHermes-2.5 #base_model-NousResearch/Meta-Llama-3-8B #license-apache-2.0 #autotrain_compatible #endpoi... |
# Hermes 2 Pro - Llama-3 8B
!image/png
## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.
This new version of Herme... | [
"# Hermes 2 Pro - Llama-3 8B\n\n!image/png",
"## Model Description\n\nHermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.\n\nThis new ve... | [
"TAGS\n#transformers #safetensors #llama #text-generation #Llama-3 #instruct #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #function calling #json mode #axolotl #conversational #en #dataset-teknium/OpenHermes-2.5 #base_model-NousResearch/Meta-Llama-3-8B #license-apache-2.0 #autotrain_compatible #... | [
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"TAGS\n#transformers #safetensors #llama #text-generation #Llama-3 #instruct #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #function calling #json mode #axolotl #conversational #en #dataset-teknium/OpenHermes-2.5 #base_model-NousResearch/Meta-Llama-3-8B #license-apache-2.0 #autotrain_compatible #... |
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