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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": []} | elliotthwangmsa/KimLanpure-phi-3-zh | 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 | 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": []} | zandfj/LLaMA2-7B-Chat-dpo-zf-042701-moren | 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"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | VuaCoBac/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: 0.2156
* Accuracy: 0.923
* F1: 0.9226
Model description
-----------------
Mor... | [
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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-410m_mz-132_EnronSpam_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-132_EnronSpam_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-132_EnronSpam_n-its-10 | null | [
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|
# robust_llm_pythia-410m_mz-132_EnronSpam_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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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_4iters_bs256_nodpo_only4w_zephyr_iter_1
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "0.001_4iters_bs256_nodpo_only4w_zephyr_iter_1", "results": []}]} | ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_zephyr_iter_1 | null | [
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... | null | 2024-04-27T02:50:50+00:00 | [] | [] | TAGS
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|
# 0.001_4iters_bs256_nodpo_only4w_zephyr_iter_1
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-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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null | null | ---
license: apache-2.0
---
# Mobius RWKV r5 chat 12B 8k
Mobius is a RWKV v5.2 arch chat model, benifit from [Matrix-Valued States and Dynamic Recurrence](https://arxiv.org/abs/2404.05892)
## Introduction
Mobius is a RWKV v5.2 arch model, a state based RNN+CNN+Transformer Mixed language model pretrained on a certain ... | {"license": "apache-2.0"} | TimeMobius/Mobius-RWKV-r5-chat-12B-8k | null | [
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| ---
license: apache-2.0
---
# Mobius RWKV r5 chat 12B 8k
Mobius is a RWKV v5.2 arch chat model, benifit from Matrix-Valued States and Dynamic Recurrence
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text-generation | transformers | # Description
4-bit AWQ-quantized version of [stylellm/ShuiHuZhuan-6b](https://huggingface.co/stylellm/ShuiHuZhuan-6b) | {"license": "other", "license_name": "yi-license", "license_link": "https://huggingface.co/01-ai/Yi-6B/blob/main/LICENSE"} | stylellm/ShuiHuZhuan-6b-AWQ | null | [
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text-generation | transformers | # Description
4-bit AWQ-quantized version of [stylellm/XiYouJi-6b](https://huggingface.co/stylellm/XiYouJi-6b) | {"license": "other", "license_name": "yi-license", "license_link": "https://huggingface.co/01-ai/Yi-6B/blob/main/LICENSE"} | stylellm/XiYouJi-6b-AWQ | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speech_ocean_wav2vec_mdd
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "speech_ocean_wav2vec_mdd", "results": []}]} | nrshoudi/speech_ocean_wav2vec_mdd | null | [
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"license:apache-2.0",
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] | null | 2024-04-27T03:03:12+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-large-xlsr-53 #license-apache-2.0 #endpoints_compatible #region-us
| speech\_ocean\_wav2vec\_mdd
===========================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3663
* Wer: 0.0863
* Cer: 0.0692
Model description
-----------------
More information needed
I... | [
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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. -->
# GUE_EMP_H3K4me2-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_8192_512_30M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K4me2-seqsight\_8192\_512\_30M-L8\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5987
* F1 Score: 0... | [
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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. -->
# blue_model
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "bert-base-cased", "model-index": [{"name": "blue_model", "results": []}]} | TazCaldwell/blue_model | null | [
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| blue\_model
===========
This model is a fine-tuned version of bert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3527
* F1: 0.9217
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
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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. -->
# falcon-rw-1b-code-gen-llm-task2
This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-t... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "petals-team/falcon-rw-1b", "model-index": [{"name": "falcon-rw-1b-code-gen-llm-task2", "results": []}]} | Katochh/falcon-rw-1b-code-gen-llm-task2 | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-petals-team/falcon-rw-1b #license-apache-2.0 #region-us
| falcon-rw-1b-code-gen-llm-task2
===============================
This model is a fine-tuned version of petals-team/falcon-rw-1b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1783
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. -->
# GUE_EMP_H3K4me2-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_8192_512_30M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K4me2-seqsight\_8192\_512\_30M-L32\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6041
* F1 Score:... | [
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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-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session8
This model is a fine-tuned version of [nsugianto/detr-res... | {"tags": ["generated_from_trainer"], "base_model": "nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session7", "model-index": [{"name": "detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session8", "results": []}]} | nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session8 | null | [
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|
# detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session8
This model is a fine-tuned version of nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session7 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
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. -->
# GUE_EMP_H3K9ac-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_8192_512_30M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K9ac-seqsight\_8192\_512\_30M-L1\_f
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4857
* F1 Score: 0.76... | [
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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": []} | zandfj/LLaMA2-7B-Chat-dpo-zf-042710-moren-maybecf | 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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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. -->
# GUE_EMP_H3K9ac-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_8192_512_30M-L8_f | null | [
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] | null | 2024-04-27T03:17:28+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K9ac-seqsight\_8192\_512\_30M-L8\_f
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4725
* F1 Score: 0.78... | [
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text-generation | transformers | Quantizations of https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha
# From original readme
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
**Important: Please use the exact chat template provided bel... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "Starling-LM-7B-alpha"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/Starling-LM-7B-alpha-imatrix-GGUF | null | [
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| Quantizations of URL
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text-generation | transformers |
# Uploaded model
- **Developed by:** liminerity
- **License:** apache-2.0
- **Finetuned from model :** Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1
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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1"} | liminerity/llama-3-8b-silent-star | null | [
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# Uploaded model
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<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. -->
# zephyr-7b-lora-64-no-quant-2k
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-7b-lora-64-no-quant-2k", "results": []}]} | YYYYYYibo/zephyr-7b-lora-64-no-quant-2k | null | [
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"base_model:alignment-handbook/zephyr-7b-sft-full",
"license:apache-2.0",
"region:us"
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|
# zephyr-7b-lora-64-no-quant-2k
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## ... | [
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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. -->
# GUE_EMP_H3K9ac-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_8192_512_30M-L32_f | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K9ac-seqsight\_8192\_512\_30M-L32\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4638
* F1 Score: 0.... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.3
<Gallery />
## Model descrip... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "prompt": "a picture of [dm-matt-mercer], a dungeon master. backgr... | cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.3 | null | [
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"license:openrail++",
"region:us"
] | null | 2024-04-27T03:21:15+00:00 | [] | [] | TAGS
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|
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.3
<Gallery />
## Model description
These are cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.3 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0, for the purposes of
generating images... | [
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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. -->
# results
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown datase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "results", "results": []}]} | manish1103125/results | null | [
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#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| results
=======
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3835
* Precision: 0.6242
* Recall: 0.6563
* F1: 0.6399
* Accuracy: 0.9043
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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null | 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. -->
# GUE_EMP_H3K4me3-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_8192_512_30M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_8192\_512\_30M-L8\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5855
* F1 Score: 0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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. -->
# GUE_EMP_H3K4me3-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_8192_512_30M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_8192\_512\_30M-L1\_f
================================================
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It achieves the following results on the evaluation set:
* Loss: 0.5785
* F1 Score: 0... | [
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text-generation | transformers |
# Qwen1.5-110B-Chat
## About Quantization
我们使用modelscope [swift](https://github.com/modelscope/swift/)仓库进行AWQ量化. 量化文档可以查看[这里](https://github.com/modelscope/swift/blob/main/docs/source/LLM/LLM%E9%87%8F%E5%8C%96%E6%96%87%E6%A1%A3.md). 量化命令如下:
We use the modelscope [swift](https://github.com/modelscope/swift/) reposito... | {"language": ["en"], "license": "other", "tags": ["chat", "qwen", "awq", "int4", "4bits"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | study-hjt/Qwen1.5-110B-Chat-AWQ | null | [
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|
# Qwen1.5-110B-Chat
## About Quantization
我们使用modelscope swift仓库进行AWQ量化. 量化文档可以查看这里. 量化命令如下:
We use the modelscope swift repository to perform GPTQ quantization. Quantization documentation can be found here. The quantization command is as follows:
## Introduction
Qwen1.5 is the beta version of Qwen2, a transfo... | [
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token-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": []} | manish1103125/NER-Task1 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** vutuka
- **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"} | vutuka/llama-3-8b-african-aya-lora | 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": []} | sherrys/426_mistral_RAFT_50e_10s | null | [
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# Model Card for Model ID
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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": []} | pruning/x1dccfy | 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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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
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", "sw", "af", "fr", "yo", "am", "ar", "pt", "ig"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "datasets": ["vutuka/aya_african_alpaca"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | vutuka/llama-3-8b-african-aya-gguf-8bit | null | [
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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="liqiu0202/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": ... | liqiu0202/q-FrozenLake-v1-4x4-noSlippery | null | [
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# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
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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": []} | HenryCai1129/adapter-llama-adaptertoxic2nontoxic-100-filtered-50-0.003 | null | [
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# Model Card for Model ID
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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. -->
# Beans_disease_classficationv4
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/g... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["AI-Lab-Makerere/beans"], "metrics": ["accuracy"], "model-index": [{"name": "Beans_disease_classficationv4", "results": []}]} | pwk666/Beans_disease_classficationv4 | null | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"generated_from_trainer",
"en",
"dataset:AI-Lab-Makerere/beans",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T03:41:04+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #tensorboard #vit #image-classification #generated_from_trainer #en #dataset-AI-Lab-Makerere/beans #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| Beans\_disease\_classficationv4
===============================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0419
* Accuracy: 0.9925
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 32\n* seed: 1337\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Trai... | [
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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. -->
# GUE_EMP_H3K4me3-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_8192_512_30M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T03:41:05+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_8192\_512\_30M-L32\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6576
* F1 Score:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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"]} | Mervyn999/mistral-7b-platypus | null | [
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"safetensors",
"mistral",
"text-generation",
"trl",
"sft",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-27T03:43:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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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"TAGS\n#transformers #safetensors #mistral #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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token-classification | 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. -->
# santhosh207/distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [santhosh207/distilbert-base-uncased-finetuned... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "santhosh207/distilbert-base-uncased-finetuned-ner", "model-index": [{"name": "santhosh207/distilbert-base-uncased-finetuned-ner", "results": []}]} | santhosh207/distilbert-base-uncased-finetuned-ner | null | [
"transformers",
"tf",
"tensorboard",
"distilbert",
"token-classification",
"generated_from_keras_callback",
"base_model:santhosh207/distilbert-base-uncased-finetuned-ner",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T03:44:06+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #distilbert #token-classification #generated_from_keras_callback #base_model-santhosh207/distilbert-base-uncased-finetuned-ner #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| santhosh207/distilbert-base-uncased-finetuned-ner
=================================================
This model is a fine-tuned version of santhosh207/distilbert-base-uncased-finetuned-ner on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.1538
* Validation Loss: 0.4292
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 2e-05, 'decay\\_steps': 424, 'end\\_learnin... | [
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null | null |
# DavidAU/Octopus-v2-Q8_0-GGUF
This model was converted to GGUF format from [`NexaAIDev/Octopus-v2`](https://huggingface.co/NexaAIDev/Octopus-v2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/NexaAI... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["function calling", "on-device language model", "android", "llama-cpp", "gguf-my-repo"], "base_model": "google/gemma-2b", "inference": false, "space": false, "spaces": false, "model-index": [{"name": "Octopus-V2-2B", "results": []}]} | DavidAU/Octopus-v2-Q8_0-GGUF | null | [
"gguf",
"function calling",
"on-device language model",
"android",
"llama-cpp",
"gguf-my-repo",
"en",
"base_model:google/gemma-2b",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-27T03:46:15+00:00 | [] | [
"en"
] | TAGS
#gguf #function calling #on-device language model #android #llama-cpp #gguf-my-repo #en #base_model-google/gemma-2b #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Octopus-v2-Q8_0-GGUF
This model was converted to GGUF format from 'NexaAIDev/Octopus-v2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can... | [
"# DavidAU/Octopus-v2-Q8_0-GGUF\nThis model was converted to GGUF format from 'NexaAIDev/Octopus-v2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nSe... | [
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"# DavidAU/Octopus-v2-Q8_0-GGUF\nThis model was converted to GGUF format from 'NexaAIDev/Octopus-v2' using URL via the URL's GGUF-my-repo space.\nRefer t... | [
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"TAGS\n#gguf #function calling #on-device language model #android #llama-cpp #gguf-my-repo #en #base_model-google/gemma-2b #license-cc-by-nc-4.0 #region-us \n# DavidAU/Octopus-v2-Q8_0-GGUF\nThis model was converted to GGUF format from 'NexaAIDev/Octopus-v2' using URL via the URL's GGUF-my-repo space.\nRefer to the ... |
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. -->
# GUE_EMP_H4-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H4-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_8192_512_30M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T03:46:21+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H4-seqsight\_8192\_512\_30M-L1\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2668
* F1 Score: 0.9042
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_EMP_H4-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H4-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_8192_512_30M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T03:47:02+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H4-seqsight\_8192\_512\_30M-L8\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2671
* F1 Score: 0.9090
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | null |
# Kaoeiri/Keiana-L3-Test5.4-8B-10-Q6_K-GGUF
This model was converted to GGUF format from [`Kaoeiri/Keiana-L3-Test5.4-8B-10`](https://huggingface.co/Kaoeiri/Keiana-L3-Test5.4-8B-10) 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 ... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test4.7-8B-3", "Kaoeiri/Experimenting-Test4.5-8B-2", "cgato/L3-TheSpice-8b-v0.8.3", "llama-cpp", "gguf-my-repo"], "base_model": ["Kaoeiri/Keiana-L3-Test4.7-8B-3", "Kaoeiri/Experimenting-Test4.5-8B-2", "cgato/L3-TheSpice-8b-v0.8.3"]} | Kaoeiri/Keiana-L3-Test5.4-8B-10-Q6_K-GGUF | null | [
"gguf",
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"lazymergekit",
"Kaoeiri/Keiana-L3-Test4.7-8B-3",
"Kaoeiri/Experimenting-Test4.5-8B-2",
"cgato/L3-TheSpice-8b-v0.8.3",
"llama-cpp",
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"base_model:Kaoeiri/Experimenting-Test4.5-8B-2",
"base_model:cgato/L3-Th... | null | 2024-04-27T03:47:44+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #Kaoeiri/Keiana-L3-Test4.7-8B-3 #Kaoeiri/Experimenting-Test4.5-8B-2 #cgato/L3-TheSpice-8b-v0.8.3 #llama-cpp #gguf-my-repo #base_model-Kaoeiri/Keiana-L3-Test4.7-8B-3 #base_model-Kaoeiri/Experimenting-Test4.5-8B-2 #base_model-cgato/L3-TheSpice-8b-v0.8.3 #region-us
|
# Kaoeiri/Keiana-L3-Test5.4-8B-10-Q6_K-GGUF
This model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test5.4-8B-10' 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:
... | [
"# Kaoeiri/Keiana-L3-Test5.4-8B-10-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test5.4-8B-10' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | transformers |
# Uploaded model
- **Developed by:** vutuka
- **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", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | vutuka/llama-3-8b-african-aya-f16 | null | [
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"en",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T03:48:14+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama #text-generation-inference #unsloth #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: vutuka
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: vutuka\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #gguf #llama #text-generation-inference #unsloth #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: vutuka\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model ... | [
61,
80
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"TAGS\n#transformers #gguf #llama #text-generation-inference #unsloth #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: vutuka\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was tr... |
null | transformers |
# gate369/llama-3-8b-silent-star-Q4_K_M-GGUF
This model was converted to GGUF format from [`liminerity/llama-3-8b-silent-star`](https://huggingface.co/liminerity/llama-3-8b-silent-star) 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 m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "llama-cpp", "gguf-my-repo"], "base_model": "Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1"} | gate369/llama-3-8b-silent-star-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"llama-cpp",
"gguf-my-repo",
"en",
"base_model:Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T03:49:18+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #llama #trl #llama-cpp #gguf-my-repo #en #base_model-Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1 #license-apache-2.0 #endpoints_compatible #region-us
|
# gate369/llama-3-8b-silent-star-Q4_K_M-GGUF
This model was converted to GGUF format from 'liminerity/llama-3-8b-silent-star' 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:
... | [
"# gate369/llama-3-8b-silent-star-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'liminerity/llama-3-8b-silent-star' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or... | [
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"# gate369/llama-3-8b-silent-star-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'lim... | [
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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_DocBot_SonatafyAI_V2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It ac... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "GPT2_DocBot_SonatafyAI_V2", "results": []}]} | ajtamayoh/GPT2_DocBot_SonatafyAI_V2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T03:51:02+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GPT2\_DocBot\_SonatafyAI\_V2
============================
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1668
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lear... | [
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"TAGS\n#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\... |
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. -->
# llama2-20p-POE
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)... | {"license": "llama2", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-20p-POE", "results": []}]} | terry69/llama2-20p-POE | null | [
"peft",
"tensorboard",
"safetensors",
"llama",
"alignment-handbook",
"trl",
"sft",
"generated_from_trainer",
"dataset:HuggingFaceH4/ultrachat_200k",
"base_model:meta-llama/Llama-2-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-27T03:52:39+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #llama #alignment-handbook #trl #sft #generated_from_trainer #dataset-HuggingFaceH4/ultrachat_200k #base_model-meta-llama/Llama-2-7b-hf #license-llama2 #region-us
|
# llama2-20p-POE
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/ultrachat_200k dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
"# llama2-20p-POE\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/ultrachat_200k dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"##... | [
"TAGS\n#peft #tensorboard #safetensors #llama #alignment-handbook #trl #sft #generated_from_trainer #dataset-HuggingFaceH4/ultrachat_200k #base_model-meta-llama/Llama-2-7b-hf #license-llama2 #region-us \n",
"# llama2-20p-POE\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/ul... | [
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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. -->
# GUE_EMP_H4-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H4-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_8192_512_30M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T03:53:59+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H4-seqsight\_8192\_512\_30M-L32\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2482
* F1 Score: 0.9091
* Accur... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | i-pj/poca-SoccerTwos | null | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | null | 2024-04-27T03:56:57+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short ... | [
"TAGS\n#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us \n",
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Doc... | [
39,
206
] | [
"TAGS\n#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us \n# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documenta... |
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. -->
# GUE_EMP_H3-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_8192_512_30M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T03:57:07+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3-seqsight\_8192\_512\_30M-L1\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3117
* F1 Score: 0.8757
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
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. -->
# leagaleasy-phi-3-adapter
This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microso... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/Phi-3-mini-4k-instruct", "model-index": [{"name": "leagaleasy-phi-3-adapter", "results": []}]} | Nithin29/leagaleasy-phi-3-adapter | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:microsoft/Phi-3-mini-4k-instruct",
"license:mit",
"region:us"
] | null | 2024-04-27T03:59:59+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/Phi-3-mini-4k-instruct #license-mit #region-us
|
# leagaleasy-phi-3-adapter
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
"# leagaleasy-phi-3-adapter\n\nThis model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## ... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/Phi-3-mini-4k-instruct #license-mit #region-us \n",
"# leagaleasy-phi-3-adapter\n\nThis model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the generator dataset.",
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"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/Phi-3-mini-4k-instruct #license-mit #region-us \n# leagaleasy-phi-3-adapter\n\nThis model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the generator dataset.## Model description\n\nMor... |
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. -->
# GUE_EMP_H3-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_8192_512_30M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T04:00:10+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3-seqsight\_8192\_512\_30M-L8\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3073
* F1 Score: 0.8784
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
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. -->
# GUE_EMP_H3-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_8192_512_30M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T04:00:10+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3-seqsight\_8192\_512\_30M-L32\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5070
* F1 Score: 0.8764
* Accur... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n",
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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": []} | Mohamedshaaban2001/llama3_2 | 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 | 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
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# EnverLee/phi2-ko-instruction-tune-Q2_K-GGUF
This model was converted to GGUF format from [`inoutro/phi2-ko-instruction-tune`](https://huggingface.co/inoutro/phi2-ko-instruction-tune) 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 mo... | {"language": ["ko"], "license": "cc-by-3.0", "tags": ["llama-cpp", "gguf-my-repo"]} | EnverLee/phi2-ko-instruction-tune-Q2_K-GGUF | null | [
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"gguf-my-repo",
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#gguf #llama-cpp #gguf-my-repo #ko #license-cc-by-3.0 #region-us
|
# EnverLee/phi2-ko-instruction-tune-Q2_K-GGUF
This model was converted to GGUF format from 'inoutro/phi2-ko-instruction-tune' 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:
... | [
"# EnverLee/phi2-ko-instruction-tune-Q2_K-GGUF\nThis model was converted to GGUF format from 'inoutro/phi2-ko-instruction-tune' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | null |
# M7Meliodaspercival_01_experiment26t3q-7B
M7Meliodaspercival_01_experiment26t3q-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: liminerity/M7-7b
- model: Ma... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/M7Meliodaspercival_01_experiment26t3q-7B | null | [
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# M7Meliodaspercival_01_experiment26t3q-7B
M7Meliodaspercival_01_experiment26t3q-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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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": []} | Mohamedshaaban2001/llama3_3 | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# 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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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": []} | tarunabraham1986/code-search-net-tokenizer | 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 | diffusers | <p align="center">
<img src="https://github.com/JackAILab/ConsistentID/assets/135965025/c0594480-d73d-4268-95ca-5494ca2a61e4" height=20>
</p>
<!-- ## <div align="center"><b>ConsistentID</b></div> -->
<div align="center">
## ConsistentID : Portrait Generation with Multimodal Fine-Grained Identity Preserving [![... | {"language": ["ak"], "license": "mit", "library_name": "diffusers"} | JackAILab/ConsistentID | null | [
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| <p align="center">
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## ConsistentID : Portrait Generation with Multimodal Fine-Grained Identity Preserving ![Paper page]()
[Paper]   [Project Page]   [Gradio Demo] <br>
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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-140
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-140", "results": []}]} | huiang/distilbert-140 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# distilbert-140
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
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null | null |
# chenduo/Llama-3-Unholy-8B-e4-Q6_K-GGUF
This model was converted to GGUF format from [`Undi95/Llama-3-Unholy-8B-e4`](https://huggingface.co/Undi95/Llama-3-Unholy-8B-e4) 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": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "llama-cpp", "gguf-my-repo"]} | chenduo/Llama-3-Unholy-8B-e4-Q6_K-GGUF | null | [
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"not-for-all-audiences",
"nsfw",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-nc-4.0",
"region:us"
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#gguf #not-for-all-audiences #nsfw #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #region-us
|
# chenduo/Llama-3-Unholy-8B-e4-Q6_K-GGUF
This model was converted to GGUF format from 'Undi95/Llama-3-Unholy-8B-e4' 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. -->
# GUE_EMP_H4ac-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_8192_512_30M-L1_f | null | [
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| GUE\_EMP\_H4ac-seqsight\_8192\_512\_30M-L1\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5487
* F1 Score: 0.7314
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
null | null |
# Kaoeiri/Keiana-L3-Test6.2-8B-18-Q6_K-GGUF
This model was converted to GGUF format from [`Kaoeiri/Keiana-L3-Test6.2-8B-18`](https://huggingface.co/Kaoeiri/Keiana-L3-Test6.2-8B-18) 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 ... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test5.4-8B-10", "Kaoeiri/Keiana-L3-Test4.7-8B-3", "Kaoeiri/Keiana-L3-Test6-8B-16", "llama-cpp", "gguf-my-repo"], "base_model": ["Kaoeiri/Keiana-L3-Test5.4-8B-10", "Kaoeiri/Keiana-L3-Test4.7-8B-3", "Kaoeiri/Keiana-L3-Test6-8B-16"]} | Kaoeiri/Keiana-L3-Test6.2-8B-18-Q6_K-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"Kaoeiri/Keiana-L3-Test5.4-8B-10",
"Kaoeiri/Keiana-L3-Test4.7-8B-3",
"Kaoeiri/Keiana-L3-Test6-8B-16",
"llama-cpp",
"gguf-my-repo",
"base_model:Kaoeiri/Keiana-L3-Test5.4-8B-10",
"base_model:Kaoeiri/Keiana-L3-Test4.7-8B-3",
"base_model:Kaoeiri/Keiana-... | null | 2024-04-27T04:19:01+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #Kaoeiri/Keiana-L3-Test5.4-8B-10 #Kaoeiri/Keiana-L3-Test4.7-8B-3 #Kaoeiri/Keiana-L3-Test6-8B-16 #llama-cpp #gguf-my-repo #base_model-Kaoeiri/Keiana-L3-Test5.4-8B-10 #base_model-Kaoeiri/Keiana-L3-Test4.7-8B-3 #base_model-Kaoeiri/Keiana-L3-Test6-8B-16 #region-us
|
# Kaoeiri/Keiana-L3-Test6.2-8B-18-Q6_K-GGUF
This model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test6.2-8B-18' 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:
... | [
"# Kaoeiri/Keiana-L3-Test6.2-8B-18-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test6.2-8B-18' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or th... | [
"TAGS\n#gguf #merge #mergekit #lazymergekit #Kaoeiri/Keiana-L3-Test5.4-8B-10 #Kaoeiri/Keiana-L3-Test4.7-8B-3 #Kaoeiri/Keiana-L3-Test6-8B-16 #llama-cpp #gguf-my-repo #base_model-Kaoeiri/Keiana-L3-Test5.4-8B-10 #base_model-Kaoeiri/Keiana-L3-Test4.7-8B-3 #base_model-Kaoeiri/Keiana-L3-Test6-8B-16 #region-us \n",
"# K... | [
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"TAGS\n#gguf #merge #mergekit #lazymergekit #Kaoeiri/Keiana-L3-Test5.4-8B-10 #Kaoeiri/Keiana-L3-Test4.7-8B-3 #Kaoeiri/Keiana-L3-Test6-8B-16 #llama-cpp #gguf-my-repo #base_model-Kaoeiri/Keiana-L3-Test5.4-8B-10 #base_model-Kaoeiri/Keiana-L3-Test4.7-8B-3 #base_model-Kaoeiri/Keiana-L3-Test6-8B-16 #region-us \n# Kaoeiri... |
null | null | # Phi-3-mini-128k-instruct
## Requisitos
Para usar este modelo, necesitas tener instalado llama.cpp en tu equipo. Puedes obtener llama.cpp desde el siguiente repositorio:
- [Repositorio de llama.cpp](https://github.com/ggerganov/llama.cpp)
Para instalar llama.cpp, sigue estos pasos:
```bash
git... | {"language": ["es", "en"], "tags": ["gguf", "llama.cpp", "phi-3", "phi-3-mini", "128k", "phi-3-mini-128k"]} | HirCoir/Phi-3-mini-4k-instruct-gguf | null | [
"gguf",
"llama.cpp",
"phi-3",
"phi-3-mini",
"128k",
"phi-3-mini-128k",
"es",
"en",
"region:us"
] | null | 2024-04-27T04:19:14+00:00 | [] | [
"es",
"en"
] | TAGS
#gguf #llama.cpp #phi-3 #phi-3-mini #128k #phi-3-mini-128k #es #en #region-us
| # Phi-3-mini-128k-instruct
!Image
## Requisitos
Para usar este modelo, necesitas tener instalado URL en tu equipo. Puedes obtener URL desde el siguiente repositorio:
- Repositorio de URL
Para instalar URL, sigue estos pasos:
## Uso del modelo
La plantilla del modelo es la siguiente:
Puedes utilizar el modelo... | [
"# Phi-3-mini-128k-instruct\n!Image",
"## Requisitos\n\nPara usar este modelo, necesitas tener instalado URL en tu equipo. Puedes obtener URL desde el siguiente repositorio:\n\n- Repositorio de URL\n\nPara instalar URL, sigue estos pasos:",
"## Uso del modelo\n\nLa plantilla del modelo es la siguiente:\n\n\n\nP... | [
"TAGS\n#gguf #llama.cpp #phi-3 #phi-3-mini #128k #phi-3-mini-128k #es #en #region-us \n",
"# Phi-3-mini-128k-instruct\n!Image",
"## Requisitos\n\nPara usar este modelo, necesitas tener instalado URL en tu equipo. Puedes obtener URL desde el siguiente repositorio:\n\n- Repositorio de URL\n\nPara instalar URL, si... | [
41,
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"TAGS\n#gguf #llama.cpp #phi-3 #phi-3-mini #128k #phi-3-mini-128k #es #en #region-us \n# Phi-3-mini-128k-instruct\n!Image## Requisitos\n\nPara usar este modelo, necesitas tener instalado URL en tu equipo. Puedes obtener URL desde el siguiente repositorio:\n\n- Repositorio de URL\n\nPara instalar URL, sigue estos pa... |
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": []}]} | WillXH/my_awesome_opus_books_model | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:t5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T04:21:39+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| 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: 3.1951
* Bleu: 0.2003
* Gen Len: 18.1916
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2\n* mixed\\_prec... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during trainin... | [
62,
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"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n... |
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. -->
# GUE_EMP_H4ac-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_8192_512_30M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T04:22:00+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H4ac-seqsight\_8192\_512\_30M-L8\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5588
* F1 Score: 0.7340
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
43,
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
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. -->
# GUE_EMP_H4ac-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_8192_512_30M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T04:22:13+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H4ac-seqsight\_8192\_512\_30M-L32\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5937
* F1 Score: 0.7363
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
43,
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
null | null |
# Kaoeiri/Keiana-L3-Test5.2-8B-8-Q6_K-GGUF
This model was converted to GGUF format from [`Kaoeiri/Keiana-L3-Test5.2-8B-8`](https://huggingface.co/Kaoeiri/Keiana-L3-Test5.2-8B-8) 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 car... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test4.7-8B-3", "DevsDoCode/LLama-3-8b-Uncensored", "Orenguteng/Llama-3-8B-Lexi-Uncensored", "llama-cpp", "gguf-my-repo"], "base_model": ["Kaoeiri/Keiana-L3-Test4.7-8B-3", "DevsDoCode/LLama-3-8b-Uncensored", "Orenguteng/Llama-3-8B-Lexi-Uncensored"]} | Kaoeiri/Keiana-L3-Test5.2-8B-8-Q6_K-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"Kaoeiri/Keiana-L3-Test4.7-8B-3",
"DevsDoCode/LLama-3-8b-Uncensored",
"Orenguteng/Llama-3-8B-Lexi-Uncensored",
"llama-cpp",
"gguf-my-repo",
"base_model:Kaoeiri/Keiana-L3-Test4.7-8B-3",
"base_model:DevsDoCode/LLama-3-8b-Uncensored",
"base_model:Oreng... | null | 2024-04-27T04:22:20+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #Kaoeiri/Keiana-L3-Test4.7-8B-3 #DevsDoCode/LLama-3-8b-Uncensored #Orenguteng/Llama-3-8B-Lexi-Uncensored #llama-cpp #gguf-my-repo #base_model-Kaoeiri/Keiana-L3-Test4.7-8B-3 #base_model-DevsDoCode/LLama-3-8b-Uncensored #base_model-Orenguteng/Llama-3-8B-Lexi-Uncensored #region-us... |
# Kaoeiri/Keiana-L3-Test5.2-8B-8-Q6_K-GGUF
This model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test5.2-8B-8' 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:
Se... | [
"# Kaoeiri/Keiana-L3-Test5.2-8B-8-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test5.2-8B-8' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the ... | [
"TAGS\n#gguf #merge #mergekit #lazymergekit #Kaoeiri/Keiana-L3-Test4.7-8B-3 #DevsDoCode/LLama-3-8b-Uncensored #Orenguteng/Llama-3-8B-Lexi-Uncensored #llama-cpp #gguf-my-repo #base_model-Kaoeiri/Keiana-L3-Test4.7-8B-3 #base_model-DevsDoCode/LLama-3-8b-Uncensored #base_model-Orenguteng/Llama-3-8B-Lexi-Uncensored #reg... | [
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"TAGS\n#gguf #merge #mergekit #lazymergekit #Kaoeiri/Keiana-L3-Test4.7-8B-3 #DevsDoCode/LLama-3-8b-Uncensored #Orenguteng/Llama-3-8B-Lexi-Uncensored #llama-cpp #gguf-my-repo #base_model-Kaoeiri/Keiana-L3-Test4.7-8B-3 #base_model-DevsDoCode/LLama-3-8b-Uncensored #base_model-Orenguteng/Llama-3-8B-Lexi-Uncensored #reg... |
null | null |
# Kaoeiri/Keiana-L3-Test4.7-8B-3-Q6_K-GGUF
This model was converted to GGUF format from [`Kaoeiri/Keiana-L3-Test4.7-8B-3`](https://huggingface.co/Kaoeiri/Keiana-L3-Test4.7-8B-3) 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 car... | {"tags": ["merge", "mergekit", "lazymergekit", "jeiku/Average_Normie_l3_v1_8B", "Kaoeiri/Keiana-L3-Test4.6-8B-2", "llama-cpp", "gguf-my-repo"], "base_model": ["jeiku/Average_Normie_l3_v1_8B", "Kaoeiri/Keiana-L3-Test4.6-8B-2"]} | Kaoeiri/Keiana-L3-Test4.7-8B-3-Q6_K-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"jeiku/Average_Normie_l3_v1_8B",
"Kaoeiri/Keiana-L3-Test4.6-8B-2",
"llama-cpp",
"gguf-my-repo",
"base_model:jeiku/Average_Normie_l3_v1_8B",
"base_model:Kaoeiri/Keiana-L3-Test4.6-8B-2",
"region:us"
] | null | 2024-04-27T04:24:45+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #jeiku/Average_Normie_l3_v1_8B #Kaoeiri/Keiana-L3-Test4.6-8B-2 #llama-cpp #gguf-my-repo #base_model-jeiku/Average_Normie_l3_v1_8B #base_model-Kaoeiri/Keiana-L3-Test4.6-8B-2 #region-us
|
# Kaoeiri/Keiana-L3-Test4.7-8B-3-Q6_K-GGUF
This model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test4.7-8B-3' 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:
Se... | [
"# Kaoeiri/Keiana-L3-Test4.7-8B-3-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test4.7-8B-3' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the ... | [
"TAGS\n#gguf #merge #mergekit #lazymergekit #jeiku/Average_Normie_l3_v1_8B #Kaoeiri/Keiana-L3-Test4.6-8B-2 #llama-cpp #gguf-my-repo #base_model-jeiku/Average_Normie_l3_v1_8B #base_model-Kaoeiri/Keiana-L3-Test4.6-8B-2 #region-us \n",
"# Kaoeiri/Keiana-L3-Test4.7-8B-3-Q6_K-GGUF\nThis model was converted to GGUF for... | [
118,
92,
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"TAGS\n#gguf #merge #mergekit #lazymergekit #jeiku/Average_Normie_l3_v1_8B #Kaoeiri/Keiana-L3-Test4.6-8B-2 #llama-cpp #gguf-my-repo #base_model-jeiku/Average_Normie_l3_v1_8B #base_model-Kaoeiri/Keiana-L3-Test4.6-8B-2 #region-us \n# Kaoeiri/Keiana-L3-Test4.7-8B-3-Q6_K-GGUF\nThis model was converted to GGUF format fr... |
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. -->
# shawgpt-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": "shawgpt-ft", "results": []}]} | Jerry-Qiu/shawgpt-ft | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-27T04:25:33+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| shawgpt-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: 1.9042
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batc... | [
55,
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"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_si... |
null | null | Zipped Version of
https://huggingface.co/datasets/gvecchio/MatSynth | {"license": "cc0-1.0"} | NightRaven109/MatsynthCC0Zipped | null | [
"license:cc0-1.0",
"region:us"
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#license-cc0-1.0 #region-us
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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_4iters_bs128_nodpo_only4w_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://hugging... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_4iters_bs128_nodpo_only4w_iter_1", "results": []}]} | ShenaoZhang/0.001_4iters_bs128_nodpo_only4w_iter_1 | null | [
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"mistral",
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"dataset:original",
"base_model:HuggingFaceH4/mistral-7b-sft-beta",
"license:mit",
"autotrain_compatible",
"endpoints_compatible... | null | 2024-04-27T04:28:35+00:00 | [] | [] | TAGS
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|
# 0.001_4iters_bs128_nodpo_only4w_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 needed... | [
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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. -->
# GUE_EMP_H3K79me3-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_8192_512_30M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T04:29:25+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_8192\_512\_30M-L1\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4316
* F1 Score... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | null |
# Kaoeiri/Keiana-L3-Test6.1-8B-17-Q6_K-GGUF
This model was converted to GGUF format from [`Kaoeiri/Keiana-L3-Test6.1-8B-17`](https://huggingface.co/Kaoeiri/Keiana-L3-Test6.1-8B-17) 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 ... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test5.4-8B-10", "Kaoeiri/Keiana-L3-Test6-8B-16", "llama-cpp", "gguf-my-repo"], "base_model": ["Kaoeiri/Keiana-L3-Test5.4-8B-10", "Kaoeiri/Keiana-L3-Test6-8B-16"]} | Kaoeiri/Keiana-L3-Test6.1-8B-17-Q6_K-GGUF | null | [
"gguf",
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"base_model:Kaoeiri/Keiana-L3-Test5.4-8B-10",
"base_model:Kaoeiri/Keiana-L3-Test6-8B-16",
"region:us"
] | null | 2024-04-27T04:29:26+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #Kaoeiri/Keiana-L3-Test5.4-8B-10 #Kaoeiri/Keiana-L3-Test6-8B-16 #llama-cpp #gguf-my-repo #base_model-Kaoeiri/Keiana-L3-Test5.4-8B-10 #base_model-Kaoeiri/Keiana-L3-Test6-8B-16 #region-us
|
# Kaoeiri/Keiana-L3-Test6.1-8B-17-Q6_K-GGUF
This model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test6.1-8B-17' 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:
... | [
"# Kaoeiri/Keiana-L3-Test6.1-8B-17-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test6.1-8B-17' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | UXAIR/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-27T04:31:04+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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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": []} | HenryCai1129/adapter-llama-adaptertoxic2nontoxic-100-filtered-50-0.006 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#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 | 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. -->
# GUE_EMP_H3K79me3-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_8192_512_30M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T04:32:10+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_8192\_512\_30M-L8\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4375
* F1 Score... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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... | Bluezealot/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-27T04:32:32+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
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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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. -->
# GUE_EMP_H3K79me3-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_8192_512_30M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T04:35:46+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_8192\_512\_30M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4359
* F1 Sco... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_EMP_H3K4me1-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_8192_512_30M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T04:35:46+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_8192\_512\_30M-L1\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5150
* F1 Score: 0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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": []} | terry69/llama2-5p-full | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# LLaMa3-8b-WangchanX-sft-Demo
Built with Meta Llama 3 (Fine tuning with Qlora)
This model is based on [WangchanX Fine-tuning Pipeline](https://github.com/vistec-AI/WangchanX).
GitHub: [WangchanX Fine-tuning Pipeline](https://github.com/vistec-AI/WangchanX).
License: [Meta Llama 3 Community License](https://llama.... | {"language": ["th", "en"], "license": "llama3", "datasets": ["airesearch/concat_six_dataset_th_en"]} | airesearch/LLaMa3-8b-WangchanX-sft-Demo | null | [
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|
# LLaMa3-8b-WangchanX-sft-Demo
Built with Meta Llama 3 (Fine tuning with Qlora)
This model is based on WangchanX Fine-tuning Pipeline.
GitHub: WangchanX Fine-tuning Pipeline.
License: Meta Llama 3 Community License
Meta Llama 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc.... | [
"# LLaMa3-8b-WangchanX-sft-Demo\n\nBuilt with Meta Llama 3 (Fine tuning with Qlora)\n\nThis model is based on WangchanX Fine-tuning Pipeline.\n\nGitHub: WangchanX Fine-tuning Pipeline.\n\nLicense: Meta Llama 3 Community License\n\nMeta Llama 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta P... | [
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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": []} | zandfj/LLaMA2-7B-Chatdpo-zf-z-f-042711-moren | null | [
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"region:us"
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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]:
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- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# miqu-evil-dpo
# **Model Details**
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
<!-- prompt-template start -->
## Prompt template: Mistral Inst
```
<s> [INST] {inst} [... | {"language": ["en"], "license": "other", "tags": ["not-for-all-audiences"], "license_name": "miqu-license", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | blockblockblock/miqu-evil-dpo-bpw4.8-exl2 | null | [
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"text-generation-inference",
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#transformers #safetensors #llama #text-generation #not-for-all-audiences #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# miqu-evil-dpo
# Model Details
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
!image/png
## Prompt template: Mistral Inst
## Disclaimer
The AI model provided herein is intended for experimental... | [
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null | null |
# Kaoeiri/Keiana-L3-Test5.8-8B-14-Q6_K-GGUF
This model was converted to GGUF format from [`Kaoeiri/Keiana-L3-Test5.8-8B-14`](https://huggingface.co/Kaoeiri/Keiana-L3-Test5.8-8B-14) 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 ... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test5.4-8B-10", "Undi95/Llama-3-LewdPlay-8B", "Kaoeiri/Keiana-L3-Test4.7-8B-3", "llama-cpp", "gguf-my-repo"], "base_model": ["Kaoeiri/Keiana-L3-Test5.4-8B-10", "Undi95/Llama-3-LewdPlay-8B", "Kaoeiri/Keiana-L3-Test4.7-8B-3"]} | Kaoeiri/Keiana-L3-Test5.8-8B-14-Q6_K-GGUF | null | [
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"base_model:Kaoeiri/Keiana-L3-Test... | null | 2024-04-27T04:39:03+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #Kaoeiri/Keiana-L3-Test5.4-8B-10 #Undi95/Llama-3-LewdPlay-8B #Kaoeiri/Keiana-L3-Test4.7-8B-3 #llama-cpp #gguf-my-repo #base_model-Kaoeiri/Keiana-L3-Test5.4-8B-10 #base_model-Undi95/Llama-3-LewdPlay-8B #base_model-Kaoeiri/Keiana-L3-Test4.7-8B-3 #region-us
|
# Kaoeiri/Keiana-L3-Test5.8-8B-14-Q6_K-GGUF
This model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test5.8-8B-14' 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:
... | [
"# Kaoeiri/Keiana-L3-Test5.8-8B-14-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test5.8-8B-14' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | mlx |
# mlx-community/UTENA-7B-NSFW-V2-4bit
This model was converted to MLX format from [`AI-B/UTENA-7B-NSFW-V2`]().
Refer to the [original model card](https://huggingface.co/AI-B/UTENA-7B-NSFW-V2) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
mo... | {"license": "unlicense", "tags": ["mergekit", "merge", "mlx"], "base_model": ["AI-B/UTENA-7B-NSFW", "AI-B/UTENA-7B-BAGEL"], "model-index": [{"name": "UTENA-7B-NSFW-V2", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc"... | mlx-community/UTENA-7B-NSFW-V2-4bit | null | [
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"base_model:AI-B/UTENA-7B-BAGEL",
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"model-index",
"region:us"
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|
# mlx-community/UTENA-7B-NSFW-V2-4bit
This model was converted to MLX format from ['AI-B/UTENA-7B-NSFW-V2']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
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"# mlx-community/UTENA-7B-NSFW-V2-4bit\nThis model was converted to MLX format from ['AI-B/UTENA-7B-NSFW-V2']().\nRefer to the original model card for 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": []} | terry69/zephyr-7b-sft-qlora-5p-full | null | [
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"safetensors",
"mistral",
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"arxiv:1910.09700",
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"region:us"
] | null | 2024-04-27T04:45:15+00:00 | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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 nl - FredDYyy
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft... | {"language": ["nl"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["facebook/voxpopuli"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "Speecht5 finetuned nl - FredDYyy", "results": []}]} | FredDYyy/speecht5_finetuned_voxpopuli_nl | null | [
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| Speecht5 finetuned nl - FredDYyy
================================
This model is a fine-tuned version of microsoft/speecht5\_tts on the Voxpopuli dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4734
Model description
-----------------
More information needed
Intended uses & limitati... | [
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null | null |
# delijoe/Llama-3-Soliloquy-8B-Q8_0-GGUF
This model was converted to GGUF format from [`openlynn/Llama-3-Soliloquy-8B`](https://huggingface.co/openlynn/Llama-3-Soliloquy-8B) 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](h... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | delijoe/Llama-3-Soliloquy-8B-Q8_0-GGUF | null | [
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"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-sa-4.0",
"region:us"
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"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us
|
# delijoe/Llama-3-Soliloquy-8B-Q8_0-GGUF
This model was converted to GGUF format from 'openlynn/Llama-3-Soliloquy-8B' 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:
Serve... | [
"# delijoe/Llama-3-Soliloquy-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'openlynn/Llama-3-Soliloquy-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us \n",
"# delijoe/Llama-3-Soliloquy-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'openlynn/Llama-3-Soliloquy-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us \n# delijoe/Llama-3-Soliloquy-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'openlynn/Llama-3-Soliloquy-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use wi... |
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": []} | fxmeng/PiSSA-Llama-2-7B-r64-4bit-5iter | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-27T04:49:56+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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... | [
"# Model Card for Model ID",
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"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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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. -->
# speaker-segmentation-fine-tuned-callhome-jpn
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co... | {"language": ["jpn"], "license": "apache-2.0", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/callhome"], "base_model": "openai/whisper-small", "model-index": [{"name": "speaker-segmentation-fine-tuned-callhome-jpn", "results": []}]} | heavenode/speaker-segmentation-fine-tuned-callhome-jpn | null | [
"transformers",
"tensorboard",
"safetensors",
"pyannet",
"speaker-diarization",
"speaker-segmentation",
"generated_from_trainer",
"jpn",
"dataset:diarizers-community/callhome",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T04:52:52+00:00 | [] | [
"jpn"
] | TAGS
#transformers #tensorboard #safetensors #pyannet #speaker-diarization #speaker-segmentation #generated_from_trainer #jpn #dataset-diarizers-community/callhome #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| speaker-segmentation-fine-tuned-callhome-jpn
============================================
This model is a fine-tuned version of openai/whisper-small on the diarizers-community/callhome dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7479
* Der: 0.2241
* False Alarm: 0.0478
* Missed Detec... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* num\\_epochs: 5",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #pyannet #speaker-diarization #speaker-segmentation #generated_from_trainer #jpn #dataset-diarizers-community/callhome #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us \n",
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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_4iters_bs256_nodpo_only4w_iter_4
This model is a fine-tuned version of [ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_3... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_3", "model-index": [{"name": "0.001_4iters_bs256_nodpo_only4w_iter_4", "results": []}]} | ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_4 | null | [
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"mistral",
"text-generation",
"alignment-handbook",
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"dataset:original",
"base_model:ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_3",
"license:mit",
"autotrain_compatible",
"end... | null | 2024-04-27T04:55:30+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #trl #dpo #generated_from_trainer #conversational #dataset-updated #dataset-original #base_model-ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_3 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us... |
# 0.001_4iters_bs256_nodpo_only4w_iter_4
This model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
"# 0.001_4iters_bs256_nodpo_only4w_iter_4\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_3 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and eva... | [
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null | null | # SkinXmed Erfahrungen Wo Kaufen - SkinXmed Bewertungen Deutschland Preis
Skinxmed Creme Erfahrungen ist eine Feuchtigkeitscreme, die von der Marke Skinxmed angeboten wird. Sie ist speziell für die Bekämpfung von Hautalterung, Falten und anderen Hautproblemen entwickelt worden. Die Creme enthält Inhaltsstoffe wie Hyal... | {} | VKapseln475/SkinXmed120 | null | [
"region:us"
] | null | 2024-04-27T04:55:53+00:00 | [] | [] | TAGS
#region-us
| # SkinXmed Erfahrungen Wo Kaufen - SkinXmed Bewertungen Deutschland Preis
Skinxmed Creme Erfahrungen ist eine Feuchtigkeitscreme, die von der Marke Skinxmed angeboten wird. Sie ist speziell für die Bekämpfung von Hautalterung, Falten und anderen Hautproblemen entwickelt worden. Die Creme enthält Inhaltsstoffe wie Hyal... | [
"# SkinXmed Erfahrungen Wo Kaufen - SkinXmed Bewertungen Deutschland Preis\n\nSkinxmed Creme Erfahrungen ist eine Feuchtigkeitscreme, die von der Marke Skinxmed angeboten wird. Sie ist speziell für die Bekämpfung von Hautalterung, Falten und anderen Hautproblemen entwickelt worden. Die Creme enthält Inhaltsstoffe w... | [
"TAGS\n#region-us \n",
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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. -->
# GUE_EMP_H3K4me1-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_8192_512_30M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T04:56:06+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_8192\_512\_30M-L8\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5206
* F1 Score: 0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
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. -->
# GUE_EMP_H3K4me1-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_8192_512_30M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T04:59:22+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_8192\_512\_30M-L32\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5307
* F1 Score:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_EMP_H3K36me3-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_8192_512_30M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T04:59:22+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_8192\_512\_30M-L1\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4549
* F1 Score... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimiz... |
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