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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. -->
# plm-nsp-10000
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
I... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "plm-nsp-10000", "results": []}]} | mhr2004/plm-nsp-10000 | null | [
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| plm-nsp-10000
=============
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3458
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information 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. -->
# zephyr-7b-lora-64-no-quant-4k
This model is a fine-tuned version of [YYYYYYibo/zephyr-7b-lora-64-no-quant-2k](https://huggingfac... | {"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-4k", "results": []}]} | YYYYYYibo/zephyr-7b-lora-64-no-quant-4k | null | [
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|
# zephyr-7b-lora-64-no-quant-4k
This model is a fine-tuned version of YYYYYYibo/zephyr-7b-lora-64-no-quant-2k 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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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5_samsum
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "t5_samsum", "results": []}]} | Mu7annad/t5_samsum | null | [
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|
# t5_samsum
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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### Training hyperparameters
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feature-extraction | transformers |
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null | transformers |
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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... | Deep34Lover/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: 0.2124
* Accuracy: 0.9255
* F1: 0.9255
Model description
-----------------
Mo... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/1ulm6j8 | null | [
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text-classification | transformers |
# Model Trained Using AutoTrain
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precision_micro: 0.74
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recall_macro: 0.49316... | {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-qs45q-p9syi/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | dhananjay2912/clinicalbert_aci_bench_section_classifier | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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text-generation | transformers |
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/ce9yti5 | null | [
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text2text-generation | transformers |
# Model Trained Using AutoTrain
- Problem type: Seq2Seq
## Validation Metrics
loss: 0.00013458728790283203
rouge1: 0.0
rouge2: 0.0
rougeL: 0.0
rougeLsum: 0.0
gen_len: 3.0
runtime: 1.5371
samples_per_second: 28.624
steps_per_second: 7.156
: 3.0
| {"tags": ["autotrain", "text2text-generation"], "datasets": ["autotrain-zik5f-0viiq/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | fizzfzzf/autotrain-zik5f-0viiq | null | [
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# Model Trained Using AutoTrain
- Problem type: Seq2Seq
## Validation Metrics
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steps_per_second: 7.156
: 3.0
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text-generation | transformers |
# phillama-3.8b-v1
Phillama is a model based on Phi-3-mini and trained on Llama-generated datasets to make it more "llama-like".
Also, this model is converted into Llama format, so it will work wi... | {"license": "mit", "library_name": "transformers", "datasets": ["raincandy-u/Dextromethorphan-50k-v0.1"], "pipeline_tag": "text-generation"} | raincandy-u/phillama-3.8b-v1 | null | [
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| !image/png
phillama-3.8b-v1
================
Phillama is a model based on Phi-3-mini and trained on Llama-generated datasets to make it more "llama-like".
Also, this model is converted into Llama format, so it will work with any Llama-2/3 workflow.
Dataset
=======
For more information include training detail... | [] | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | Epoching/ppo-PyramidsRND | null | [
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"onnx",
"Pyramids",
"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
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text-generation | transformers |
# arcee-ai/Llama-3-OpenBioLLM-JSL-8B-SLERP
arcee-ai/Llama-3-OpenBioLLM-JSL-8B-SLERP is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [aaditya/OpenBioLLM-Llama3-8B](https://huggingface.co/aaditya/OpenBioLLM-Llama3-8B)
* [johnsnowlabs/JSL-Med-Sft-Llama-3-8B](https://huggingface.... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "aaditya/OpenBioLLM-Llama3-8B", "johnsnowlabs/JSL-Med-Sft-Llama-3-8B"]} | arcee-ai/Llama-3-OpenBioLLM-JSL-8B-SLERP | null | [
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"text-generation",
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|
# arcee-ai/Llama-3-OpenBioLLM-JSL-8B-SLERP
arcee-ai/Llama-3-OpenBioLLM-JSL-8B-SLERP is a merge of the following models using mergekit:
* aaditya/OpenBioLLM-Llama3-8B
* johnsnowlabs/JSL-Med-Sft-Llama-3-8B
## Configuration
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text-to-image | diffusers | # Rabbit Hole - Stuck in wall Concept
<Gallery />
## Model description
Rabbit Hole - Stuck in wall Concept!
Trained based on the stuck in wall concept saw on the deco*27 Rabbit Hole Music Video, it has a trigger word and suggested prompts that recreates the concept trained.
Works well with 0.7-1.0 weight
## Trig... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "score_9, score_8_up, score_7_up, uncensored, source_anime, 1girl, <lora:sprabbitHoleStuckonwallXLPony:1> rhstuckonwall, stuck in wall, pink background, simple background, animal ears, detac... | Shalie/RabbitHole-StuckInWallConcept | null | [
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"lora",
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"base_model:AstraliteHeart/pony-diffusion-v6",
"license:other",
"region:us"
] | null | 2024-04-28T03:43:05+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-AstraliteHeart/pony-diffusion-v6 #license-other #region-us
| # Rabbit Hole - Stuck in wall Concept
<Gallery />
## Model description
Rabbit Hole - Stuck in wall Concept!
Trained based on the stuck in wall concept saw on the deco*27 Rabbit Hole Music Video, it has a trigger word and suggested prompts that recreates the concept trained.
Works well with 0.7-1.0 weight
## Trig... | [
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "jozhang97/deta-resnet-50", "model-index": [{"name": "jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad", "results": []}]} | qubvel-hf/jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad | null | [
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"object-detection",
"vision",
"generated_from_trainer",
"base_model:jozhang97/deta-resnet-50",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #deta #object-detection #vision #generated_from_trainer #base_model-jozhang97/deta-resnet-50 #endpoints_compatible #region-us
|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad
This model is a fine-tuned version of jozhang97/deta-resnet-50 on the cppe-5 dataset.
## Model description
More information needed
## Intended uses & limitations
More information n... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | guna-2222/NLP_task1 | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | null |
# MoMonir/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GGUF
This model was converted to GGUF format from [`yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B`](https://huggingface.co/yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces... | {"license": "mit", "tags": ["moe", "DPO", "RL-TUNED", "llama-cpp", "gguf-my-repo"]} | MoMonir/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GGUF | null | [
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"llama-cpp",
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"license:mit",
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|
# MoMonir/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B-GGUF
This model was converted to GGUF format from 'yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### About GGUF (TheBloke Description)
GGUF is a ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/sa87axc | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# plm-nsp-100000
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "plm-nsp-100000", "results": []}]} | mhr2004/plm-nsp-100000 | null | [
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| plm-nsp-100000
==============
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1843
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 1024\n* eval\\_batch\\_size: 1024\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
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text-to-image | diffusers | # Weirdcore Style
<Gallery />
## Model description
Weridcore Style
Do you hate high quality images and long for vintage tumblr vibes? If you answered yes than Weirdcore is here for you. Trained on 40 images scraped from the tumblr hashtag 'weirdcore' this LoRA will generate all the jpeg artifacts, floating... | {"license": "artistic-2.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "WRDCR style, night sky with lots of stars, floating rectangle opening to a blue cloudy sky", "parameters": {"negative_prompt": "bad composition, normal, real"}, "output": {"url": "ima... | BlaireSilver13/Weirdcore_Style | null | [
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"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-artistic-2.0 #region-us
| # Weirdcore Style
<Gallery />
## Model description
Weridcore Style
Do you hate high quality images and long for vintage tumblr vibes? If you answered yes than Weirdcore is here for you. Trained on 40 images scraped from the tumblr hashtag 'weirdcore' this LoRA will generate all the jpeg artifacts, floating... | [
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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_5iters_bs256_nodpo_only4w_iter_6
This model is a fine-tuned version of [ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_5... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_5", "model-index": [{"name": "0.001_5iters_bs256_nodpo_only4w_iter_6", "results": []}]} | ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_6 | null | [
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# 0.001_5iters_bs256_nodpo_only4w_iter_6
This model is a fine-tuned version of ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_5 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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null | null |
## Training Details
LIA trained on 512 * 512 Resolution.
| Experiment | Resolution | Trained Dataset | Checkpoint Path |
|----------|----------|----------|----------|
| 1 | 512 * 512 | Vox1(256->512) | 509000.pt |
## Test Samples
Unseen test samples are available in the directory named ... | {"license": "apache-2.0"} | taocode/LIA_512 | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-28T03:54:41+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Training Details
----------------
LIA trained on 512 \* 512 Resolution.
!Loss Curve
Test Samples
------------
Unseen test samples are available in the directory named '509000\_test\_samples'.
Source Code
-----------
The code is based on the repository available at GitHub - wyhsirius/LIA.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/a2wpw1j | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/xijs0x2 | null | [
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## Model Details
### Model Description
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text-generation | peft |
# Llama-2-7b-Chat-GPTQ fine-tuned on PYTHON-CODES-25K
Generate Python code that accomplishes the task instructed.
## LoRA Adpater Head
### Description
Parameter Efficient Finetuning a 4bit quantized Llama-2-7b-Chat on flytech/python-codes-25k dataset.
- **Language(s) (NLP):** English
- **License:** openrail
- **... | {"language": ["en"], "license": "openrail", "library_name": "peft", "tags": ["text2code", "LoRA", "GPTQ", "Llama-2-7B-Chat", "text2python", "instruction2code", "nl2code", "python"], "datasets": ["flytech/python-codes-25k"], "base_model": "TheBloke/Llama-2-7b-Chat-GPTQ", "pipeline_tag": "text-generation", "inference": f... | SwastikM/Llama-2-7B-Chat-text2code | null | [
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| Llama-2-7b-Chat-GPTQ fine-tuned on PYTHON-CODES-25K
===================================================
Generate Python code that accomplishes the task instructed.
LoRA Adpater Head
-----------------
### Description
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text-classification | fasttext | # llm-data-textbook-quality-fasttext-classifer-v1
Model is built on fasttext. It is an optimised version of [llm-data-textbook-quality-classifer-v1](https://huggingface.co/kenhktsui/llm-data-textbook-quality-classifer-v1).
Not just it results in a higher F1 score, but also it can classify more than 2000 examples per ... | {"language": ["en"], "license": "mit", "library_name": "fasttext", "datasets": ["kenhktsui/llm-data-quality"], "pipeline_tag": "text-classification"} | kenhktsui/llm-data-textbook-quality-fasttext-classifer-v1 | null | [
"fasttext",
"text-classification",
"en",
"dataset:kenhktsui/llm-data-quality",
"license:mit",
"region:us"
] | null | 2024-04-28T03:59:37+00:00 | [] | [
"en"
] | TAGS
#fasttext #text-classification #en #dataset-kenhktsui/llm-data-quality #license-mit #region-us
| llm-data-textbook-quality-fasttext-classifer-v1
===============================================
Model is built on fasttext. It is an optimised version of llm-data-textbook-quality-classifer-v1.
Not just it results in a higher F1 score, but also it can classify more than 2000 examples per second in CPU.
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | Epoching/Reinforce-Pixelcopter-PLE-v0 | null | [
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|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
] | [
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the De... |
text-generation | transformers |
<!-- 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_3iters_bs256_nodpo_only4w_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://hugging... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_3iters_bs256_nodpo_only4w_iter_1", "results": []}]} | ShenaoZhang/0.001_3iters_bs256_nodpo_only4w_iter_1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
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"dataset:updated",
"dataset:original",
"base_model:HuggingFaceH4/mistral-7b-sft-beta",
"license:mit",
"autotrain_compatible",
"endpoints_compatible... | null | 2024-04-28T04:02:02+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.001_3iters_bs256_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... | [
"# 0.001_3iters_bs256_nodpo_only4w_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nM... | [
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "hustvl/yolos-small", "model-index": [{"name": "hustvl-yolos-small-finetuned-10k-cppe5-auto-pad", "results": []}]} | qubvel-hf/hustvl-yolos-small-finetuned-10k-cppe5-auto-pad | null | [
"transformers",
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"yolos",
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T04:03:00+00:00 | [] | [] | TAGS
#transformers #safetensors #yolos #object-detection #vision #generated_from_trainer #base_model-hustvl/yolos-small #license-apache-2.0 #endpoints_compatible #region-us
|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# hustvl-yolos-small-finetuned-10k-cppe5-auto-pad
This model is a fine-tuned version of hustvl/yolos-small on the cppe-5 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Tr... | [
"# hustvl-yolos-small-finetuned-10k-cppe5-auto-pad\n\nThis model is a fine-tuned version of hustvl/yolos-small on the cppe-5 dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B"} | yiyic/llama-text-labels-lora-clf-epoch-4 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:meta-llama/Meta-Llama-3-8B",
"region:us"
] | null | 2024-04-28T04:05:00+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Meta-Llama-3-8B #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | izaznov/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-28T04:11:26+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\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 *... | [
"TAGS\n#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us \n",
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"TAGS\n#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us \n# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n ... |
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-finteuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "distilbert-base-uncased-finteuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "type": "emotion... | sknera/distilbert-base-uncased-finteuned-emotion | null | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T04:11:33+00:00 | [] | [] | TAGS
#transformers #pytorch #distilbert #text-classification #generated_from_trainer #dataset-emotion #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finteuned-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: 0.2149
* Accuracy: 0.923
* F1: 0.9232
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\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",
"### Traini... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
*実験モデルです / This is an experimental model.*
[lightblue/suzume-llama-3-8B-japanese](https://huggingface.co/lightblue/suzume-llama-3-8B-japanese)と、
[meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-... | {"language": ["ja", "en"], "license": "llama3", "library_name": "transformers", "tags": ["llama3"]} | mmnga/Llama-3-70B-japanese-suzume-vector-v0.1 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
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"ja",
"en",
"arxiv:1910.09700",
"license:llama3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T04:11:49+00:00 | [
"1910.09700"
] | [
"ja",
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #llama3 #conversational #ja #en #arxiv-1910.09700 #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
*実験モデルです / This is an experimental model.*
lightblue/suzume-llama-3-8B-japaneseと、
meta-llama/Meta-Llama-3-8B-Instructの差分をchat-vectorアプローチで抽出し、
meta-llama/Meta-Llama-3-70B-Instructに適用しました
## 結果
差分が小さいのかあまり変化がありませんでした
今後は倍率など付与してみようと思います.
## 手順/procedure
chat_vector.ipynb
- ja... | [
"# Model Card for Model ID\n\n\n*実験モデルです / This is an experimental model.* \nlightblue/suzume-llama-3-8B-japaneseと、 \nmeta-llama/Meta-Llama-3-8B-Instructの差分をchat-vectorアプローチで抽出し、 \nmeta-llama/Meta-Llama-3-70B-Instructに適用しました",
"## 結果\n差分が小さいのかあまり変化がありませんでした \n今後は倍率など付与してみようと思います.",
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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": []} | GamblerOnTrain/CAWD032 | null | [
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"text-generation",
"conversational",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T04:12:36+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# 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": ["unsloth"]} | pranav79/agv2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- 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. -->
# zlm_b32_le4_s4000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "zlm_b32_le4_s4000", "results": []}]} | mikhail-panzo/zlm_b32_le4and5_s4000 | null | [
"transformers",
"tensorboard",
"safetensors",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"base_model:microsoft/speecht5_tts",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T04:13:42+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| zlm\_b32\_le4\_s4000
====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3362
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/ftn2oce | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-large-finetuned-phishing
This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "bert-large-uncased", "model-index": [{"name": "bert-large-finetuned-phishing", "results": []}]} | hoanganhvu/bert-large-finetuned-phishing | null | [
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-large-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-large-finetuned-phishing
=============================
This model is a fine-tuned version of bert-large-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0290
* Accuracy: 0.9958
* Precision: 0.9969
* Recall: 0.9947
* False Positive Rate: 0.0031
Model description
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 12\n* eval\\_batch\\_size: 12\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4",
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Nous-Hermes-2-SOLAR-10.7B - GGUF
- Model creator: https://huggingface.co/NousResearch/
- Original model: https://huggingface... | {} | RichardErkhov/NousResearch_-_Nous-Hermes-2-SOLAR-10.7B-gguf | null | [
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#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Nous-Hermes-2-SOLAR-10.7B - GGUF
* Model creator: URL
* Original model: URL
Name: Nous-Hermes-2-SOLAR-10.7B.Q2\_K.gguf, Quant method: Q2\_K, Size: 3.73GB
Name: Nous-Hermes-2-SOLAR-10.7B.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 4.14GB
... | [
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text-generation | transformers | 30 min | {} | NickyNicky/gemma-1.1-2b-it_oasst_format_chatML_unsloth_V1_orpo_V1_test | 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": []} | Lugaborg/Golbez | null | [
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# Model Card for Model ID
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text2text-generation | transformers | # mt5 Model for Chinese Question-Answering
<!-- Provide a quick summary of what the model is/does. -->
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on [DRCD](https://github.com/DRCKnowledgeTeam/DRCD).
It is served as a Traditional Chinese QA model.
## Training Data... | {"language": ["zh"], "tags": ["mt5", "zh", "question-answering"], "pipeline_tag": "text2text-generation"} | chiawen0104/mt5-drcd-qa | null | [
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#transformers #pytorch #mt5 #text2text-generation #zh #question-answering #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # mt5 Model for Chinese Question-Answering
This model is a fine-tuned version of google/mt5-base on DRCD.
It is served as a Traditional Chinese QA model.
## Training Dataset
Delta Reading Comprehension Dataset (DRCD)
The dataset's copyright belongs to 台達研究院(Delta Research Center)
## Model Information
- Devel... | [
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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": []} | GamblerOnTrain/SSIS279 | 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": []} | GamblerOnTrain/JUFD365 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/78drcmu | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/hyfx83a | 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
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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-adapterhappy2sad-2k-50-0.003 | null | [
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text-generation | transformers | # EMO-2B: Emotionally Intelligent Conversational AI
## Overview
EMO-2B is a state-of-the-art conversational AI model with 2.5 billion parameters, designed to engage in emotionally resonant dialogue. Building upon the success of EMO-1.5B, this model has been further fine-tuned on an extensive corpus of emotional narra... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["EMO", "HelpingAI"], "widget": [{"messages": [{"role": "user", "content": "My best friend recently lost their parent to cancer after a long battle. They are understandably devastated and struggling with grief."}]}], "inference": {"parameters": {"max_new... | OEvortex/EMO-2B | null | [
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| # EMO-2B: Emotionally Intelligent Conversational AI
## Overview
EMO-2B is a state-of-the-art conversational AI model with 2.5 billion parameters, designed to engage in emotionally resonant dialogue. Building upon the success of EMO-1.5B, this model has been further fine-tuned on an extensive corpus of emotional narra... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# financeLM_outputpath_Named_Entity_Recognition__25
This model is a fine-tuned version of [openai-community/gpt2](https://huggingf... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "openai-community/gpt2", "model-index": [{"name": "financeLM_outputpath_Named_Entity_Recognition__25", "results": []}]} | Supersaiyan1729/financeLM_outputpath_Named_Entity_Recognition__25_gpt2small | null | [
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| financeLM\_outputpath\_Named\_Entity\_Recognition\_\_25
=======================================================
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset.
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* Loss: 1.4197
Model description
-----------------
More info... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B"} | LazyCatAI/llama-3-8b-test | 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": []} | shallow6414/ecnicir | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# DavidAU/D_AU-Orac-13B-Tiefighter-slerp-Q8_0-GGUF
This model was converted to GGUF format from [`DavidAU/D_AU-Orac-13B-Tiefighter-slerp`](https://huggingface.co/DavidAU/D_AU-Orac-13B-Tiefighter-slerp) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["microsoft/Orca-2-13b", "KoboldAI/LLaMA2-13B-Tiefighter"]} | DavidAU/D_AU-Orac-13B-Tiefighter-slerp-Q8_0-GGUF | null | [
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|
# DavidAU/D_AU-Orac-13B-Tiefighter-slerp-Q8_0-GGUF
This model was converted to GGUF format from 'DavidAU/D_AU-Orac-13B-Tiefighter-slerp' 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 ... | [
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null | transformers |
# Uploaded model
- **Developed by:** gromoboy
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | gromoboy/mistral_gguf | null | [
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# Uploaded model
- Developed by: gromoboy
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | null |
# seawolf2357/Meta-Llama-3-8B-Instruct-Q4_K_M-GGUF
This model was converted to GGUF format from [`meta-llama/Meta-Llama-3-8B-Instruct`](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Dat... | seawolf2357/Meta-Llama-3-8B-Instruct-Q4_K_M-GGUF | null | [
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|
# seawolf2357/Meta-Llama-3-8B-Instruct-Q4_K_M-GGUF
This model was converted to GGUF format from 'meta-llama/Meta-Llama-3-8B-Instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI... | [
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null | transformers |
# Uploaded model
- **Developed by:** edpowers
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | edpowers/mistral_7b_instruct_v2_quant_v2 | null | [
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|
# Uploaded model
- Developed by: edpowers
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/5gh4l3g | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/f06x92d | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/z5l6c9z | null | [
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text-generation | transformers | # 👑 Llama-3-Open-Ko-Linear-8B
## 🏝️ Merge Details
"I thought about it yesterday—merging the solid foundation of beomi/Llama-3-Open-Ko-8B with the specialized precision of beomi/Llama-3-Open-Ko-8B-Instruct-preview, using task arithmetic, is like composing a korean song that seamlessly blends timeless rhythms with co... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["beomi/Llama-3-Open-Ko-8B-Instruct-preview", "beomi/Llama-3-Open-Ko-8B"]} | asiansoul/Llama-3-Open-Ko-Linear-8B | null | [
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"... | null | 2024-04-28T04:57:12+00:00 | [
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| # Llama-3-Open-Ko-Linear-8B
## ️ Merge Details
"I thought about it yesterday—merging the solid foundation of beomi/Llama-3-Open-Ko-8B with the specialized precision of beomi/Llama-3-Open-Ko-8B-Instruct-preview, using task arithmetic, is like composing a korean song that seamlessly blends timeless rhythms with contem... | [
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text-generation | transformers | Quantizations of https://huggingface.co/CreitinGameplays/bloom-3b-conversational
# From original readme
**Specific Input Format:**
The model was fine-tuned using a specific input format that goes like this:
```
<|system|> {system prompt} </s> <|prompter|> {user prompt} </s> <|assistant|> {model response} ```
Using... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "bloom-3b-conversational"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/bloom-3b-conversational-GGUF | null | [
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| Quantizations of URL
# From original readme
Specific Input Format:
The model was fine-tuned using a specific input format that goes like this:
Using this format when interacting with the model can improve its performance and generate more relevant responses.
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-squad", "results": []}]} | yweslakarep/distilbert-base-uncased-finetuned-squad | null | [
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| distilbert-base-uncased-finetuned-squad
=======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1542
Model description
-----------------
More information needed
Intended uses... | [
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image-feature-extraction | transformers |
Description
This is a fine tuned google/siglip-so400m-patch14-384 for the purpose of quantizing the embeddings to binary. It's only using the first 1024 embeddings, so if you use all 1152 of them your results will be less than desirable.
I updated the model today (April 30th) and evals are much better than before, bu... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers"} | carsonpoole/binary-siglip-vision | null | [
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|
Description
This is a fine tuned google/siglip-so400m-patch14-384 for the purpose of quantizing the embeddings to binary. It's only using the first 1024 embeddings, so if you use all 1152 of them your results will be less than desirable.
I updated the model today (April 30th) and evals are much better than before, bu... | [] | [
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text-generation | transformers |
# zephyr-7b-alpha-ExPO
The extrapolated (ExPO) model based on `HuggingFaceH4/zephyr-7b-alpha` and `HuggingFaceH4/mistral-7b-sft-alpha`, as in the "[Weak-to-Strong Extrapolation Expedites Alignment](https://arxiv.org/abs/2404.16792)" paper.
Specifically, we obtain this model by extrapolating from the weights of the S... | {"language": ["en"], "license": "apache-2.0"} | chujiezheng/zephyr-7b-alpha-ExPO | null | [
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"region:us"
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"2404.16792"
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#transformers #safetensors #mistral #text-generation #conversational #en #arxiv-2404.16792 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# zephyr-7b-alpha-ExPO
The extrapolated (ExPO) model based on 'HuggingFaceH4/zephyr-7b-alpha' and 'HuggingFaceH4/mistral-7b-sft-alpha', as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints, achievi... | [
"# zephyr-7b-alpha-ExPO\n\nThe extrapolated (ExPO) model based on 'HuggingFaceH4/zephyr-7b-alpha' and 'HuggingFaceH4/mistral-7b-sft-alpha', as in the \"Weak-to-Strong Extrapolation Expedites Alignment\" paper.\n\nSpecifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoint... | [
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"# zephyr-7b-alpha-ExPO\n\nThe extrapolated (ExPO) model based on 'HuggingFaceH4/zephyr-7b-alpha' and 'Huggin... | [
57,
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null | transformers |
# Description
This is a fine tuned `google/siglip-so400m-patch14-384` for the purpose of quantizing the embeddings to binary.
It's only using the first 1024 embeddings, so if you use all 1152 of them your results will be less than desirable.
I updated the model today (April 30th) and evals are much better than before... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers"} | carsonpoole/binary-siglip-text | null | [
"transformers",
"safetensors",
"siglip_text_model",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T05:00:55+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #siglip_text_model #en #license-apache-2.0 #endpoints_compatible #region-us
|
# Description
This is a fine tuned 'google/siglip-so400m-patch14-384' for the purpose of quantizing the embeddings to binary.
It's only using the first 1024 embeddings, so if you use all 1152 of them your results will be less than desirable.
I updated the model today (April 30th) and evals are much better than before... | [
"# Description\nThis is a fine tuned 'google/siglip-so400m-patch14-384' for the purpose of quantizing the embeddings to binary.\nIt's only using the first 1024 embeddings, so if you use all 1152 of them your results will be less than desirable.\n\nI updated the model today (April 30th) and evals are much better tha... | [
"TAGS\n#transformers #safetensors #siglip_text_model #en #license-apache-2.0 #endpoints_compatible #region-us \n",
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/maywell/PiVoT-0.1-Evil-a
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/PiVoT-0.1-Evil-a... | {"language": ["en"], "license": "cc-by-sa-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences"], "datasets": ["maywell/ko_wikidata_QA", "kyujinpy/OpenOrca-KO", "Anthropic/hh-rlhf"], "base_model": "maywell/PiVoT-0.1-Evil-a", "quantized_by": "mradermacher"} | mradermacher/PiVoT-0.1-Evil-a-i1-GGUF | null | [
"transformers",
"gguf",
"not-for-all-audiences",
"en",
"dataset:maywell/ko_wikidata_QA",
"dataset:kyujinpy/OpenOrca-KO",
"dataset:Anthropic/hh-rlhf",
"base_model:maywell/PiVoT-0.1-Evil-a",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T05:01:53+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #not-for-all-audiences #en #dataset-maywell/ko_wikidata_QA #dataset-kyujinpy/OpenOrca-KO #dataset-Anthropic/hh-rlhf #base_model-maywell/PiVoT-0.1-Evil-a #license-cc-by-sa-4.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #not-for-all-audiences #en #dataset-maywell/ko_wikidata_QA #dataset-kyujinpy/OpenOrca-KO #dataset-Anthropic/hh-rlhf #base_model-maywell/PiVoT-0.1-Evil-a #license-cc-by-sa-4.0 #endpoints_compatible #region-us \n"
] | [
102
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] |
null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/chujiezheng/tulu-2-dpo-13b-ExPO
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "chujiezheng/tulu-2-dpo-13b-ExPO", "license_link": "https://allenai.org/impact-license", "license_name": "ai2-impact-license-low-risk", "quantized_by": "mradermacher"} | mradermacher/tulu-2-dpo-13b-ExPO-GGUF | null | [
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"en",
"base_model:chujiezheng/tulu-2-dpo-13b-ExPO",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T05:03:19+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-chujiezheng/tulu-2-dpo-13b-ExPO #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-chujiezheng/tulu-2-dpo-13b-ExPO #license-other #endpoints_compatible #region-us \n"
] | [
45
] | [
"TAGS\n#transformers #gguf #en #base_model-chujiezheng/tulu-2-dpo-13b-ExPO #license-other #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/xp39rq9 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T05:08:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tulu2-7b-cost-UI-both
# UI coherence 10k + UI correctness 10k
This model is a fine-tuned version of [allenai/tulu-2-7b](https://... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-7b", "model-index": [{"name": "tulu2-7b-cost-UI-both", "results": []}]} | just1nseo/tulu2-7b-cost-UI-both | null | [
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"llama",
"trl",
"dpo",
"generated_from_trainer",
"base_model:allenai/tulu-2-7b",
"4-bit",
"region:us"
] | null | 2024-04-28T05:09:16+00:00 | [] | [] | TAGS
#peft #safetensors #llama #trl #dpo #generated_from_trainer #base_model-allenai/tulu-2-7b #4-bit #region-us
| tulu2-7b-cost-UI-both
=====================
UI coherence 10k + UI correctness 10k
=====================================
This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6883
* Rewards/chosen: -0.1974
* Rewards/rejected:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n*... | [
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text-generation | transformers |
# zephyr_0.1_a8.0
The extrapolated (ExPO) model based on `chujiezheng/zephyr_0.1` and `alignment-handbook/zephyr-7b-sft-full`, as in the "[Weak-to-Strong Extrapolation Expedites Alignment](https://arxiv.org/abs/2404.16792)" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT and DP... | {"language": ["en"], "license": "apache-2.0"} | chujiezheng/zephyr_0.1_a8.0 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"en",
"arxiv:2404.16792",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T05:11:02+00:00 | [
"2404.16792"
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"en"
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#transformers #safetensors #mistral #text-generation #conversational #en #arxiv-2404.16792 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# zephyr_0.1_a8.0
The extrapolated (ExPO) model based on 'chujiezheng/zephyr_0.1' and 'alignment-handbook/zephyr-7b-sft-full', as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints, achieving superi... | [
"# zephyr_0.1_a8.0\n\nThe extrapolated (ExPO) model based on 'chujiezheng/zephyr_0.1' and 'alignment-handbook/zephyr-7b-sft-full', as in the \"Weak-to-Strong Extrapolation Expedites Alignment\" paper.\n\nSpecifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints, achiev... | [
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"# zephyr_0.1_a8.0\n\nThe extrapolated (ExPO) model based on 'chujiezheng/zephyr_0.1' and 'alignment-handbook... | [
57,
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"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #en #arxiv-2404.16792 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# zephyr_0.1_a8.0\n\nThe extrapolated (ExPO) model based on 'chujiezheng/zephyr_0.1' and 'alignment-handbook/zephy... |
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": []} | Ynir/llama-3-8b-instruct-test-v1 | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T05:12:33+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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null | transformers |
# Uploaded model
- **Developed by:** baconnier
- **License:** apache-2.0
- **Finetuned from model :** cognitivecomputations/dolphin-2.9-llama3-8b
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "cognitivecomputations/dolphin-2.9-llama3-8b"} | baconnier/finance_dolphin_orpo_llama3_8B_r64_51K_GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us",
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#transformers #gguf #llama #text-generation-inference #unsloth #en #base_model-cognitivecomputations/dolphin-2.9-llama3-8b #license-apache-2.0 #endpoints_compatible #region-us #has_space
|
# Uploaded model
- Developed by: baconnier
- License: apache-2.0
- Finetuned from model : cognitivecomputations/dolphin-2.9-llama3-8b
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: baconnier\n- License: apache-2.0\n- Finetuned from model : cognitivecomputations/dolphin-2.9-llama3-8b\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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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": []} | janani4office2/akam_product_NER_mistral-7b-4bit | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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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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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# financeLM_outputpath_Sentiment_Analysis_Balanced__15
This model is a fine-tuned version of [openai-community/gpt2](https://huggi... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "openai-community/gpt2", "model-index": [{"name": "financeLM_outputpath_Sentiment_Analysis_Balanced__15", "results": []}]} | Supersaiyan1729/financeLM_outputpath_Sentiment_Analysis_Balanced__15 | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T05:16:48+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-openai-community/gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| financeLM\_outputpath\_Sentiment\_Analysis\_Balanced\_\_15
==========================================================
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5191
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\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=... | [
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text-generation | transformers |
# zephyr_0.2_a2.5
The extrapolated (ExPO) model based on `chujiezheng/zephyr_0.2` and `alignment-handbook/zephyr-7b-sft-full`, as in the "[Weak-to-Strong Extrapolation Expedites Alignment](https://arxiv.org/abs/2404.16792)" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT and DP... | {"language": ["en"], "license": "apache-2.0"} | chujiezheng/zephyr_0.2_a2.5 | null | [
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|
# zephyr_0.2_a2.5
The extrapolated (ExPO) model based on 'chujiezheng/zephyr_0.2' and 'alignment-handbook/zephyr-7b-sft-full', as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints, achieving superi... | [
"# zephyr_0.2_a2.5\n\nThe extrapolated (ExPO) model based on 'chujiezheng/zephyr_0.2' and 'alignment-handbook/zephyr-7b-sft-full', as in the \"Weak-to-Strong Extrapolation Expedites Alignment\" paper.\n\nSpecifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints, achiev... | [
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image-to-image | diffusers |
# Check out more codes on our [github repository](https://github.com/yisol/IDM-VTON)!
# IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
This is an official implementation of paper 'Improving Diffusion Models for Authentic Virtual Try-on in the Wild'
- [paper](https://arxiv.org/abs/240... | {"license": "cc-by-nc-sa-4.0", "tags": ["stable-diffusion-xl", "inpainting", "virtual try-on"], "base_model": "stable-diffusion-xl-1.0-inpainting-0.1"} | imaginairy/idm-vton-safetensors | null | [
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|
# Check out more codes on our github repository!
# IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
This is an official implementation of paper 'Improving Diffusion Models for Authentic Virtual Try-on in the Wild'
- paper
- project page
Try our huggingface Demo
!teaser
!teas... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/llamafinal2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | HemaCh/gorillafinetuned | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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automatic-speech-recognition | transformers |
This is a working space for a fine tune of Distil-Whisper-Large for medical speech recognition. The model will change often, so duplicate the space if you find it useful for your needs as it is.
# Distil-Whisper: distil-large-v3
Distil-Whisper was proposed in the paper [Robust Knowledge Distillation via Large-Scale... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["audio", "automatic-speech-recognition", "transformers.js"], "widget": [{"example_title": "LibriSpeech sample 1", "src": "https://cdn-media.huggingface.co/speech_samples/sample1.flac"}, {"example_title": "LibriSpeech sample 2", "src": "http... | Crystalcareai/Whisper-Medicalv1 | null | [
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| This is a working space for a fine tune of Distil-Whisper-Large for medical speech recognition. The model will change often, so duplicate the space if you find it useful for your needs as it is.
Distil-Whisper: distil-large-v3
===============================
Distil-Whisper was proposed in the paper Robust Knowledge... | [
"### Short-Form Transcription\n\n\nThe model can be used with the 'pipeline'\nclass to transcribe short-form audio files (< 30-seconds) as follows:\n\n\nTo transcribe a local audio file, simply pass the path to your audio file when you call the pipeline:\n\n\nFor segment-level timestamps, pass the argument 'return\... | [
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text-generation | transformers |
# zephyr-7b-beta-ExPO
The extrapolated (ExPO) model based on `HuggingFaceH4/zephyr-7b-beta` and `HuggingFaceH4/mistral-7b-sft-beta`, as in the "[Weak-to-Strong Extrapolation Expedites Alignment](https://arxiv.org/abs/2404.16792)" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT ... | {"language": ["en"], "license": "apache-2.0"} | chujiezheng/zephyr-7b-beta-ExPO | null | [
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#transformers #safetensors #mistral #text-generation #conversational #en #arxiv-2404.16792 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# zephyr-7b-beta-ExPO
The extrapolated (ExPO) model based on 'HuggingFaceH4/zephyr-7b-beta' and 'HuggingFaceH4/mistral-7b-sft-beta', as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints, achieving ... | [
"# zephyr-7b-beta-ExPO\n\nThe extrapolated (ExPO) model based on 'HuggingFaceH4/zephyr-7b-beta' and 'HuggingFaceH4/mistral-7b-sft-beta', as in the \"Weak-to-Strong Extrapolation Expedites Alignment\" paper.\n\nSpecifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints, ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/wvza3br | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/ck0nwso | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/5bswem6 | null | [
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null | null |
# Model Card for Emu
Some alignments in these domains:
- Bitcoin
- Nostr
- Health
- Permaculture
- Phytochemicals
- Alternative medicine
- Herbs
- Nutrition
I am having success with chat template of Llama3: \... | {"license": "apache-2.0"} | some1nostr/Emu-70B-Llama3 | null | [
"gguf",
"license:apache-2.0",
"region:us"
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#gguf #license-apache-2.0 #region-us
|
!Emu-70B
# Model Card for Emu
Some alignments in these domains:
- Bitcoin
- Nostr
- Health
- Permaculture
- Phytochemicals
- Alternative medicine
- Herbs
- Nutrition
I am having success with chat template of Llama3: \<\|begin_of_text\|\>\<\|start_header_id\|\> ...
You can check the GGUF chat template to see the ... | [
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text-generation | transformers |
# PolyLM-13b-WangchanX-sft-Demo
Built with PolyLM-13b (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: cc-by-nc-3.0
## Train Example
Train WangchanX... | {"language": ["th", "en"], "license": "cc-by-nc-3.0", "datasets": ["airesearch/concat_six_dataset_th_en"]} | airesearch/PolyLM-13b-WangchanX-sft-Demo | null | [
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|
# PolyLM-13b-WangchanX-sft-Demo
Built with PolyLM-13b (Fine tuning with Qlora)
This model is based on WangchanX Fine-tuning Pipeline.
GitHub: WangchanX Fine-tuning Pipeline.
License: cc-by-nc-3.0
## Train Example
Train WangchanX pipeline: Colab
## Inference Example
Run on Colab
### Prepare your model and to... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/bba6lyr | 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 | null |
# OpenHermes 2.5 - Mixtral 8x22B
Mixtral 8x22B full SFTed on OpenHermes 2.5 dataset (https://huggingface.co/datasets/teknium/OpenHermes-2.5).
Evaluations are still being ran. Download the model from branches 4th-epoch and 3rd-epoch.
Prompt format is ChatML. Refer to https://huggingface.co/teknium/OpenHermes-2.5-Mist... | {"language": ["en"], "license": "apache-2.0", "tags": ["Mixtral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistralai/Mixtral-8x22B-v0.1"} | a-normal-username/Mixtral-8x22B-OpenHermes-2.5 | null | [
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|
# OpenHermes 2.5 - Mixtral 8x22B
Mixtral 8x22B full SFTed on OpenHermes 2.5 dataset (URL
Evaluations are still being ran. Download the model from branches 4th-epoch and 3rd-epoch.
Prompt format is ChatML. Refer to URL for examples.
Research supported by Google's TPU Research Cloud. | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | happylayers/sc69 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# gemma-dolly-agriculture
This model is based on [google/gemma-2b](https://huggingface.co/google/gemma-2b), fine tuned with the dolly-qa dataset and some specific examples of agricultural disease descriptions.
It achieves the following results on the evaluation set:
- Loss: 2.0198
## How to Run Inference
```
from t... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-dolly-agriculture", "results": []}]} | apfurman/gemma-dolly-agriculture | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us
| gemma-dolly-agriculture
=======================
This model is based on google/gemma-2b, fine tuned with the dolly-qa dataset and some specific examples of agricultural disease descriptions.
It achieves the following results on the evaluation set:
* Loss: 2.0198
How to Run Inference
--------------------
Intended... | [
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text-generation | transformers | # 0428
This model is a fine-tuned version of [../../models/Qwen1.5-7B-sft-0425](https://huggingface.co/../../models/Qwen1.5-7B-sft-0425) on the alpaca_formatted_review_new_data_greater_7 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0733
## Model description
Qwen1.5 is the beta version... | {"license": "mit"} | WDong/7B-0428 | null | [
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| 0428
====
This model is a fine-tuned version of ../../models/Qwen1.5-7B-sft-0425 on the alpaca\_formatted\_review\_new\_data\_greater\_7 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0733
Model description
-----------------
Qwen1.5 is the beta version of Qwen2, a transformer-based ... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OmAlve/roberta-finetuned-imdb-sentiment | null | [
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null | null | Korean actor Park Eun-bin (Strange Lawyer Woo Young-woo) version
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null | transformers |
# Uploaded model
- **Developed by:** gromoboy
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "gguf"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | gromoboy/gemma_gguf | null | [
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# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.0112701654434204
f1_macro: 0.23304414883362254
f1_micro: 0.5374355326338254
f1_weighted: 0.37573861876678316
precision_macro: 0.17914517754460846
precision_micro: 0.5374355326338254
precision_weighted: 0.288836951... | {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-9yyoi-z5w7f/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | Sathvik6323/cardiffnlp-twitter-roberta-base-sentiment | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.0112701654434204
f1_macro: 0.23304414883362254
f1_micro: 0.5374355326338254
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precision_weighted: 0.288836951... | [
"# Model Trained Using AutoTrain\n\n- Problem type: Text Classification",
"## Validation Metrics\nloss: 1.0112701654434204\n\nf1_macro: 0.23304414883362254\n\nf1_micro: 0.5374355326338254\n\nf1_weighted: 0.37573861876678316\n\nprecision_macro: 0.17914517754460846\n\nprecision_micro: 0.5374355326338254\n\nprecisio... | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #text-classification #autotrain #dataset-autotrain-9yyoi-z5w7f/autotrain-data #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Trained Using AutoTrain\n\n- Problem type: Text Classification",
"## Validation Metrics\nloss: 1.01127016... | [
58,
12,
173
] | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #text-classification #autotrain #dataset-autotrain-9yyoi-z5w7f/autotrain-data #autotrain_compatible #endpoints_compatible #region-us \n# Model Trained Using AutoTrain\n\n- Problem type: Text Classification## Validation Metrics\nloss: 1.0112701654434204\n\n... |
null | null | # RWKV-x060-Japanese-11.2B
## RWKV Architecture "Finch" based 11.2B Parameters Model.
継続トレーニング中です。実験なので性能評価はしていません。
- "YORINOBU"
- Based on RWKV6-World v2.1 7b 53% Model, we have applied a layer expansion approach and tuned it as a 48-layer, 4096-dimensional model.
- I added 8 layers to the 40-layer model, ... | {"language": ["ja"], "license": "apache-2.0"} | OpenMOSE/RWKV-x060-Japanese-11.2B | null | [
"ja",
"license:apache-2.0",
"region:us"
] | null | 2024-04-28T05:45:57+00:00 | [] | [
"ja"
] | TAGS
#ja #license-apache-2.0 #region-us
| # RWKV-x060-Japanese-11.2B
## RWKV Architecture "Finch" based 11.2B Parameters Model.
継続トレーニング中です。実験なので性能評価はしていません。
- "YORINOBU"
- Based on RWKV6-World v2.1 7b 53% Model, we have applied a layer expansion approach and tuned it as a 48-layer, 4096-dimensional model.
- I added 8 layers to the 40-layer model, ... | [
"# RWKV-x060-Japanese-11.2B",
"## RWKV Architecture \"Finch\" based 11.2B Parameters Model.\n\n継続トレーニング中です。実験なので性能評価はしていません。\n\n - \"YORINOBU\"\n - Based on RWKV6-World v2.1 7b 53% Model, we have applied a layer expansion approach and tuned it as a 48-layer, 4096-dimensional model.\n - I added 8 layers to t... | [
"TAGS\n#ja #license-apache-2.0 #region-us \n",
"# RWKV-x060-Japanese-11.2B",
"## RWKV Architecture \"Finch\" based 11.2B Parameters Model.\n\n継続トレーニング中です。実験なので性能評価はしていません。\n\n - \"YORINOBU\"\n - Based on RWKV6-World v2.1 7b 53% Model, we have applied a layer expansion approach and tuned it as a 48-layer, 40... | [
15,
15,
293,
40
] | [
"TAGS\n#ja #license-apache-2.0 #region-us \n# RWKV-x060-Japanese-11.2B## RWKV Architecture \"Finch\" based 11.2B Parameters Model.\n\n継続トレーニング中です。実験なので性能評価はしていません。\n\n - \"YORINOBU\"\n - Based on RWKV6-World v2.1 7b 53% Model, we have applied a layer expansion approach and tuned it as a 48-layer, 4096-dimension... |
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