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text-generation | transformers |
# Qwen1.5-110B-Chat-GPTQ-Int4
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 9 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B, 72B, and 110B ... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat-GPTQ-Int4/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/Qwen1.5-110B-Chat-GPTQ-Int4 | null | [
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"4-bit",
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#transformers #safetensors #qwen2 #text-generation #chat #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Qwen1.5-110B-Chat-GPTQ-Int4
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
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text-generation | null |
## Exllama v2 Quantizations of OpenBioLLM-Llama3-8B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch co... | {"language": ["en"], "license": "llama3", "tags": ["llama-3", "llama", "Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "distillation"], "base_model": "meta-llama/Meta-Llama-3-8B", "widget": [{"example_title": "OpenBioLLM-8B", "messages": [{"role": "system", "content": "You are an expert and experien... | bartowski/OpenBioLLM-Llama3-8B-exl2 | null | [
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| Exllama v2 Quantizations of OpenBioLLM-Llama3-8B
------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, wit... | [] | [
"TAGS\n#llama-3 #llama #Mixtral #instruct #finetune #chatml #DPO #RLHF #gpt4 #distillation #text-generation #en #base_model-meta-llama/Meta-Llama-3-8B #license-llama3 #region-us \n"
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] |
text-generation | transformers |
# yujiepan/Meta-Llama-3-8B-awq-w4g64-v2
This model applies AutoAWQ on [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B).
- 4-bit asymmetric weight only quantization
- group_size=64
- skip last layer FFN
- calibration set: pileval
## Accuracy
| model | precision | wikitext ppl (↓) |
|-|-... | {"library_name": "transformers", "tags": []} | yujiepan/Meta-Llama-3-8B-awq-w4g64-v2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
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] | null | 2024-04-26T14:21:48+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| yujiepan/Meta-Llama-3-8B-awq-w4g64-v2
=====================================
This model applies AutoAWQ on meta-llama/Meta-Llama-3-8B.
* 4-bit asymmetric weight only quantization
* group\_size=64
* skip last layer FFN
* calibration set: pileval
Accuracy
--------
model: meta-llama/Meta-Llama-3-8B, precision: FP16... | [] | [
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text-generation | transformers |
# yujiepan/Meta-Llama-3-8B-Instruct-awq-w4g64-v2
This model applies AutoAWQ on [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
- 4-bit asymmetric weight only quantization
- group_size=64
- skip last layer FFN
- calibration set: pileval
## Accuracy
| model | precisio... | {"library_name": "transformers", "tags": []} | yujiepan/Meta-Llama-3-8B-Instruct-awq-w4g64-v2 | null | [
"transformers",
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"text-generation",
"conversational",
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"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-26T14:22:29+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| yujiepan/Meta-Llama-3-8B-Instruct-awq-w4g64-v2
==============================================
This model applies AutoAWQ on meta-llama/Meta-Llama-3-8B-Instruct.
* 4-bit asymmetric weight only quantization
* group\_size=64
* skip last layer FFN
* calibration set: pileval
Accuracy
--------
model: meta-llama/Meta-... | [] | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | JonathanST/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-26T14:23:51+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | transformers |
## 4-bit GEMM AWQ Quantizations of OpenBioLLM-Llama3-8B
Using <a href="https://github.com/casper-hansen/AutoAWQ/">AutoAWQ</a> release <a href="https://github.com/casper-hansen/AutoAWQ/releases/tag/v0.2.4">v0.2.4</a> for quantization.
Original model: https://huggingface.co/aaditya/OpenBioLLM-Llama3-8B
## Prompt for... | {"language": ["en"], "license": "llama3", "tags": ["llama-3", "llama", "Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "distillation"], "base_model": "meta-llama/Meta-Llama-3-8B", "widget": [{"example_title": "OpenBioLLM-8B", "messages": [{"role": "system", "content": "You are an expert and experien... | bartowski/OpenBioLLM-Llama3-8B-AWQ | null | [
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"text-generat... | null | 2024-04-26T14:25:02+00:00 | [] | [
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|
## 4-bit GEMM AWQ Quantizations of OpenBioLLM-Llama3-8B
Using <a href="URL release <a href="URL for quantization.
Original model: URL
## Prompt format
No chat template specified so default is used. This may be incorrect, check original model card for details.
## AWQ Parameters
- q_group_size: 128
- w_bit: 4... | [
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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/final3 | null | [
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"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Uploaded model
- **Developed by:** richie-ghost
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | richie-ghost/llama-3b-unsloth-quantized_merged_8bit | 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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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
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/... | {"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", "results": []}]} | YYYYYYibo/zephyr-7b-lora-64-no-quant | null | [
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"safetensors",
"mistral",
"alignment-handbook",
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"dpo",
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"base_model:alignment-handbook/zephyr-7b-sft-full",
"license:apache-2.0",
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|
# zephyr-7b-lora-64-no-quant
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# esm2_t130_150M-lora-classifier_2024-04-26_10-31-42
This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/esm2_t30_150M_UR50D", "model-index": [{"name": "esm2_t130_150M-lora-classifier_2024-04-26_10-31-42", "results": []}]} | wcvz/esm2_t130_150M-lora-classifier_2024-04-26_10-31-42 | null | [
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"safetensors",
"generated_from_trainer",
"base_model:facebook/esm2_t30_150M_UR50D",
"license:mit",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-facebook/esm2_t30_150M_UR50D #license-mit #region-us
| esm2\_t130\_150M-lora-classifier\_2024-04-26\_10-31-42
======================================================
This model is a fine-tuned version of facebook/esm2\_t30\_150M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8800
* Accuracy: 0.8945
Model description
----... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-hf-platypus_vxxiii-chat-added_lamini_v4
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://hug... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-hf-platypus_vxxiii-chat-added_lamini_v4", "results": []}]} | NassimB/mistral-7b-hf-platypus_vxxiii-chat-added_lamini_v4 | null | [
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|
# mistral-7b-hf-platypus_vxxiii-chat-added_lamini_v4
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MLP-Lemma/Llama-sft-cnn | null | [
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | null | # chinese Meta Llama3 Instruct 8b 4bit
```
“top.model_name": "LLaMA3-8B-Chat",
"top.finetuning_type": "lora",
"top.adapter_path": [],
"top.quantization_bit": "none",
"top.template": "llama3",
"top.rope_scaling": "none",
top.booster": "none",
"train.training_stage": "Supervised Fine-Tuning",
"train.dataset_dir": "data"... | {"license": "apache-2.0"} | pooka74/LLaMA3-8B-Chat-Chinese-GGUF | null | [
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| # chinese Meta Llama3 Instruct 8b 4bit
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null | transformers |
# Uploaded model
- **Developed by:** ntvcie
- **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/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ntvcie/Gemma2bVinhntV01 | null | [
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# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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text-generation | transformers |
# tulu-2-dpo-13b-ExPO
The extrapolated (ExPO) model based on `allenai/tulu-2-dpo-13b` and `allenai/tulu-2-13b`, 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 DPO/RLHF checkpoi... | {"language": ["en"], "license": "other", "license_name": "ai2-impact-license-low-risk", "license_link": "https://allenai.org/impact-license"} | chujiezheng/tulu-2-dpo-13b-ExPO | null | [
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# tulu-2-dpo-13b-ExPO
The extrapolated (ExPO) model based on 'allenai/tulu-2-dpo-13b' and 'allenai/tulu-2-13b', as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
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null | transformers |
# Uploaded model
- **Developed by:** Tung177
- **License:** apache-2.0
- **Finetuned from model :** ura-hcmut/GemSUra-2B
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
# Training procedure
## Training hyperparameters
The following hyperpar... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "ura-hcmut/GemSUra-2B"} | Tung177/ss-gemsura2b-adapters | null | [
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# Uploaded model
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# Training procedure
## Training hyperparameters
The following hyperparameters were used during training:
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text-generation | null | ## KoDolph-2x8b
> **Update @ 2024.04.26:** Linear Merge of [Llama-3-Open-Ko-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-Open-Ko-8B-Instruct-preview) and [dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)
### Model Details
**KoDolph-2x8b:**
I had this idea at ni... | {"language": ["en", "ko"], "license": "other", "tags": ["mergekit", "merge", "facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT Meta Llama 3 Version Release Date: ... | asiansoul/KoDolph-2x8b-Instruct-GGUF | null | [
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| ## KoDolph-2x8b
> Update @ 2024.04.26: Linear Merge of Llama-3-Open-Ko-8B-Instruct-preview and dolphin-2.9-llama3-8b
### Model Details
KoDolph-2x8b:
I had this idea at night that it would make sense to make a Linear Merge
Model Merge:
Linear Merge
Ollama:
### Composition
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text-generation | transformers | ## **Poppy_Porpoise-v0.7-L3-8B**
[exllamav2](https://github.com/turboderp/exllamav2) quant for [ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B)
**Original model information:**
# "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8... | {"language": ["en"], "tags": ["llama3", "8-bit"], "base_model": ["ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B"], "inference": false} | Slvcxc/Poppy_Porpoise-v0.7-L3-8B-8.0bpw-h8-exl2 | null | [
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| ## Poppy_Porpoise-v0.7-L3-8B
exllamav2 quant for ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B
Original model information:
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null | null |
# Model Card for Model ID
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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null | peft | ### Framework versions
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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. -->
# croissantllm_alector
This model is a fine-tuned version of [croissantllm/CroissantLLMChat-v0.1](https://huggingface.co/croissant... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "croissantllm/CroissantLLMChat-v0.1", "model-index": [{"name": "croissantllm_alector", "results": []}]} | Lduignan1/croissantllm_alector | null | [
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| croissantllm\_alector
=====================
This model is a fine-tuned version of croissantllm/CroissantLLMChat-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3889
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
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text-generation | transformers | # Storymation-2-7b Fine-Tuned Model
This fine-tuned model, based on the LLAMA2 architecture, is specifically trained for story generation tasks. It has been fine-tuned on a diverse dataset comprising stories gathered from various open-source datasets, merged, and formatted to serve as direct input for LLAMA2 fine-tuni... | {} | Fateemaa/Storymation-2-7b-chat-finetune | null | [
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| # Storymation-2-7b Fine-Tuned Model
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Introduction
MetaAligner-HH-RLHF-1.1B is part of the <em>MetaAligner</em> project, the first policy-agnostic and generalizable method for multi-objective preference alignment of large
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null | transformers |
# Uploaded model
- **Developed by:** YavuzAkbay
- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "datasets": ["nvidia/OpenMathInstruct-1", "TIGER-Lab/MathInstruct", "ArtifactAI/arxiv-math-instruct-50k"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | YavuzAkbay/experiment0.3 | null | [
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# Uploaded model
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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": []} | taoyoung/codeparrot | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# tulu-2-dpo-70b-ExPO
The extrapolated (ExPO) model based on `allenai/tulu-2-dpo-70b` and `allenai/tulu-2-70b`, 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 DPO/RLHF checkpoi... | {"language": ["en"], "license": "other", "license_name": "ai2-impact-license-low-risk", "license_link": "https://allenai.org/impact-license"} | chujiezheng/tulu-2-dpo-70b-ExPO | null | [
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# tulu-2-dpo-70b-ExPO
The extrapolated (ExPO) model based on 'allenai/tulu-2-dpo-70b' and 'allenai/tulu-2-70b', as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
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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": []} | AmrMohamed/Llama-2-7b-chat-grading | 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 | 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": []} | taoyoung/codeparrot-small-vocabulary | 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 | null |
## Llamacpp imatrix Quantizations of OpenBioLLM-Llama3-8B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2717">b2717</a> for quantization.
Original model: https://huggingface.co/aaditya/OpenBioLLM-Llama3-8B
All quants made ... | {"language": ["en"], "license": "llama3", "tags": ["llama-3", "llama", "Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "distillation"], "base_model": "meta-llama/Meta-Llama-3-8B", "widget": [{"example_title": "OpenBioLLM-8B", "messages": [{"role": "system", "content": "You are an expert and experien... | bartowski/OpenBioLLM-Llama3-8B-GGUF | null | [
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| Llamacpp imatrix Quantizations of OpenBioLLM-Llama3-8B
------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
No chat template s... | [] | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-dmae-va-U5-20-45-5e-05
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-dmae-va-U5-20-45-5e-05", "results": []}]} | Augusto777/vit-base-patch16-224-dmae-va-U5-20-45-5e-05 | null | [
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| vit-base-patch16-224-dmae-va-U5-20-45-5e-05
===========================================
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5800
* Accuracy: 0.8833
Model description
-----------------
More inf... | [
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null | transformers |
# Uploaded model
- **Developed by:** aks1981
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | aks1981/lora_llama-3-8b-bnb-4bit | null | [
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# Uploaded model
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null | null |
# OneTo3D: One Image to Re-editable Dynamic 3D Model and Video Generation
Project Code For Paper: OneTo3D: One Image to Editable Dynamic 3D Model and Video Generation
[Project Page](https://lin-jinwei.github.io/projects/OneTo3D/OneTo3D.html) [GitHub Code](https://github.com/lin-jinwei/OneTo3D/tr... | {"license": "lgpl"} | LinJinwei/OneTo3D | null | [
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|
# OneTo3D: One Image to Re-editable Dynamic 3D Model and Video Generation
Project Code For Paper: OneTo3D: One Image to Editable Dynamic 3D Model and Video Generation
Project Page GitHub Code
---
### OnTo3D Logo
!image
---
### Display of Continuous Model Action and Video Generation
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null | transformers |
# Uploaded model
- **Developed by:** ogdanneedham
- **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.co... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | ogdanneedham/mistral-gs-64-lora | null | [
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# Uploaded model
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224-in22k_fold3
This model is a fine-tuned version of [microsoft/swin-large... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-large-patch4-window7-224-in22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224-in22k_fold3", "results": [{"task": {"type": "image-classif... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224-in22k_fold3 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swin-large-patch4-window7-224-in22k\_fold3
=========================================================================
This model is a fine-tuned version of microsoft/swin-large-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
... | [
"### 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: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-small", "model-index": [{"name": "sb-wspr-lg-small", "results": []}]} | akera/sb-wspr-lg-small | null | [
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# sb-wspr-lg-small
This model is a fine-tuned version of openai/whisper-small on an unkn... | [
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"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
... | [
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null | transformers |
# Uploaded model
- **Developed by:** Emarhnuel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Emarhnuel/Medical_llama3 | null | [
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|
# Uploaded model
- Developed by: Emarhnuel
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama3-finetuning
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "llama3-finetuning", "results": []}]} | DavideZanutto/llama3-finetuning | null | [
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] | null | 2024-04-26T15:09:55+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# llama3-finetuning
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# llama3-finetuning\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-dmae-va-U5-40-45-5e-05
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-dmae-va-U5-40-45-5e-05", "results": []}]} | Augusto777/vit-base-patch16-224-dmae-va-U5-40-45-5e-05 | null | [
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| vit-base-patch16-224-dmae-va-U5-40-45-5e-05
===========================================
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5841
* Accuracy: 0.8333
Model description
-----------------
More inf... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4.5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsi... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... | [
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text-to-audio | 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. -->
# musicgen-melody-lora-punk-colab
This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook... | {"license": "cc-by-nc-4.0", "library_name": "peft", "tags": ["text-to-audio", "tiny-punk", "generated_from_trainer"], "base_model": "facebook/musicgen-melody", "model-index": [{"name": "musicgen-melody-lora-punk-colab", "results": []}]} | ylacombe/musicgen-melody-lora-punk-colab | null | [
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"region:us"
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#peft #tensorboard #safetensors #text-to-audio #tiny-punk #generated_from_trainer #base_model-facebook/musicgen-melody #license-cc-by-nc-4.0 #region-us
|
# musicgen-melody-lora-punk-colab
This model is a fine-tuned version of facebook/musicgen-melody on the ylacombe/tiny-punk dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure... | [
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"## Training and evaluation data\n\nMore information needed"... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | sudAI/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
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": []} | richie-ghost/llama-3b-unsloth-quantized_merged_4bit_GPTQ | null | [
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# Uploaded model
- **Developed by:** yadz45
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "datasets": ["yadz45/Partnaire"], "metrics": ["accuracy"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "pipeline_tag": "text-generation"} | yadz45/IAV1 | null | [
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|
# Uploaded model
- Developed by: yadz45
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/> | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | mzhou84/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3823
* Bleu: 0.1312
* Gen Len: 18.1138
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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text-generation | transformers |
# Uploaded model
- **Developed by:** hrishikesh1991
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | hrishikesh1991/llama3-8b-oig-unsloth-merged | null | [
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|
# Uploaded model
- Developed by: hrishikesh1991
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null | null |
<!-- 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. -->
# V0424HMA17
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA17", "results": []}]} | Litzy619/V0424HMA17 | null | [
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| V0424HMA17
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0318
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | thjeon/llama-2-7b-chat-thjeon-kor | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | lzacchini/dqn_SpaceInvaders-v4 | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
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and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
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with hyperparameter optimization and pre-trained agents... | [
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null | transformers |
# Uploaded model
- **Developed by:** hrishikesh1991
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | hrishikesh1991/llama3-8b-oig-unsloth | null | [
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|
# Uploaded model
- Developed by: hrishikesh1991
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Jurij1/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | Jurij1/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
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# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
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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... | omar22allam/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: 0.2167
* Accuracy: 0.9245
* F1: 0.9244
Prediction Labels mapping:
-------------... | [
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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. -->
# intent-classification-v2.1
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-ba... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "vinai/phobert-base-v2", "model-index": [{"name": "intent-classification-v2.1", "results": []}]} | nguyenvanvi0812/intent-classification-v2.1 | null | [
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#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-base-v2 #autotrain_compatible #endpoints_compatible #region-us
| intent-classification-v2.1
==========================
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1893
* Accuracy: 0.9626
Model description
-----------------
More information needed
Intended uses & limitati... | [
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text-generation | transformers |
# miqu-evil-dpo
# **Model Details**
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
<!-- prompt-template start -->
## Prompt template: Mistral Inst
```
<s> [INST] {inst} [... | {"language": ["en"], "license": "other", "tags": ["not-for-all-audiences"], "license_name": "miqu-license", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | blockblockblock/miqu-evil-dpo-bpw3.5-exl2 | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-26T15:26:53+00:00 | [] | [
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#transformers #safetensors #llama #text-generation #not-for-all-audiences #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# miqu-evil-dpo
# Model Details
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
!image/png
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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": []} | taoyoung/codeparrot-small | null | [
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"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
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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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- Shared by [optional]:
- Model type:
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- 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. -->
# train_2024-03-25-22-22-32
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mis... | {"license": "other", "library_name": "peft", "tags": ["llama-factory", "lora", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "train_2024-03-25-22-22-32", "results": []}]} | DaertML/super-mistral-bros-alpha | null | [
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|
# train_2024-03-25-22-22-32
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the super-mario-bros-ascii dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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text-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": []} | mahdibaghbanzadeh/seqsight_4096_512_27M_species | 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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# 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 | # NPC Model
This repo contains the domain-specific NPC model we've fined-tuned from **Mistral-7B**, using LoRA.
This model parses a text description of a game scene, and outputs commands like:
* `say <player1> "Hello Adventurer, care to join me on a quest?`
* `greet <player1>`
* `attack <player1>`
* Any other `<acti... | {"language": ["en"], "license": "apache-2.0"} | Gigax/NPC-LLM-7B | null | [
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#transformers #safetensors #mistral #text-generation #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # NPC Model
This repo contains the domain-specific NPC model we've fined-tuned from Mistral-7B, using LoRA.
This model parses a text description of a game scene, and outputs commands like:
* 'say <player1> "Hello Adventurer, care to join me on a quest?'
* 'greet <player1>'
* 'attack <player1>'
* Any other '<action> ... | [
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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. -->
# llava-1.5-7b-hf-med2
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "llava-1.5-7b-hf-med2", "results": []}]} | hari02/llava-1.5-7b-hf-med2 | null | [
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|
# llava-1.5-7b-hf-med2
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
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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. -->
# sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat
This model is a fine-tuned version of [sanchit-gandhi/distil-zephyr-1.5b-ssft-u... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat", "model-index": [{"name": "sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat", "results"... | sanchit-gandhi/distil-zephyr-1.5b-dpo-ultrafeedback | null | [
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... | null | 2024-04-26T15:39:14+00:00 | [] | [] | TAGS
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================================================
This model is a fine-tuned version of sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat on the HuggingFaceH4/ultrafeedback\_binarized dataset.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pruning/pklpgr5 | 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pruning/9r90cb0 | null | [
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### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pruning/w11spll | 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-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - ghadaaa/dyslexia
<Gallery />
## Model description
These are ghadaaa/gen_images LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
Special ... | {"license": "openrail++", "library_name": "diffusers", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "pipeline_tag": "text-to-image", "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "taswira mezyena"} | ghadaaa/dyslexia | null | [
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# AutoTrain SDXL LoRA DreamBooth - ghadaaa/dyslexia
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## Model description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | theGhoul21/SRL-TPAS-v1-7B | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results-Meta-Llama-3-8B-qlora-translation-no-tag
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================================================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
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-----------------
More information nee... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Uploaded model
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | ake178178/llama8bUnslothdemo | 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": []} | Zardian/Cyber_assist3.3 | null | [
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token-classification | span-marker |
# SpanMarker KtZH StaZH
This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model that is based on the [GELECTRA Large](https://huggingface.co/stefan-it/span-marker-gelectra-large-germeval14) variant of the **SpanMarker for GermEval 2014 NER** and further fine-tuned on meeting notes from the cantonal c... | {"language": ["de"], "license": "mit", "library_name": "span-marker", "tags": ["span-marker", "token-classification", "ner", "named-entity-recognition"], "base_model": "stefan-it/span-marker-gelectra-large-germeval14", "pipeline_tag": "token-classification", "widget": [{"text": "Konstruiertes Beispiel: Hans Meier besit... | team-data-ktzh/span-marker-ktzh-stazh | null | [
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| SpanMarker KtZH StaZH
=====================
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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": []} | ntnhan/gemma-7b-1.1-it-MetaQA40K | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# temp123
This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on t... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "cointegrated/rubert-tiny2", "model-index": [{"name": "temp123", "results": []}]} | IvashinMaxim/temp123 | null | [
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| temp123
=======
This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2633
* Accuracy: 0.497
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | antonyo94/Enlighten_Instruct_merged | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# griffin-c3t-8L-v0.02-fineweb
Pretraining experiment with griffin/recurrent_gemma arch
## Model description
Further training of... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["BEE-spoke-data/fineweb-1M_en-med"], "metrics": ["accuracy"], "base_model": "pszemraj/griffin-v0.01-c3t-8layer-simplewiki-silu"} | pszemraj/griffin-c3t-8L-v0.02-fineweb | null | [
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| griffin-c3t-8L-v0.02-fineweb
============================
Pretraining experiment with griffin/recurrent\_gemma arch
Model description
-----------------
Further training of pszemraj/griffin-v0.01-c3t-8layer-simplewiki-silu on the BEE-spoke-data/fineweb-1M\_en-med dataset.
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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. -->
# NDD-phoenix_test-content_tags
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-phoenix_test-content_tags", "results": []}]} | lgk03/NDD-phoenix_test-content_tags | null | [
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| NDD-phoenix\_test-content\_tags
===============================
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: 0.3591
* Accuracy: 0.8595
* F1: 0.8554
* Precision: 0.8702
* Recall: 0.8595
Model description
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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": []} | AlexWortega/llama3_patched | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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-fb-housing-posts
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://hugg... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-fb-housing-posts", "results": []}]} | hoaj/distilbert-base-uncased-fb-housing-posts | null | [
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| distilbert-base-uncased-fb-housing-posts
========================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2008
* Accuracy: 0.9305
Model description
-----------------
More in... | [
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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": "openlm-research/open_llama_3b_v2"} | yiyic/llama3b-text-entprop-lora-clf-epoch-0 | null | [
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text-generation | transformers |
# Keiana-L3-Test5.65-8B-12.5
Keiana-L3-Test5.65-8B-12.5 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
*... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test5.6-8B-12", "Kaoeiri/Experimenting-Test4.5-8B-2"], "base_model": ["Kaoeiri/Keiana-L3-Test5.6-8B-12", "Kaoeiri/Experimenting-Test4.5-8B-2"]} | Kaoeiri/Keiana-L3-Test5.65-8B-12.5 | null | [
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"autotrain... | null | 2024-04-26T16:15:53+00:00 | [] | [] | TAGS
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# Keiana-L3-Test5.65-8B-12.5
Keiana-L3-Test5.65-8B-12.5 is a merge of the following models using LazyMergekit:
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* Kaoeiri/Keiana-L3-Test5.6-8B-12
* Kaoeiri/Experimenting-Test4.5-8B-2
## Configuration
... | [
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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": []} | fxmeng/PiSSA-Llama-2-7B-r16-4bit-5iter | 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 |
This model is randomly initialized, using the config from [databricks/dbrx-instruct](https://huggingface.co/databricks/dbrx-instruct) but with hidden dimension = 256.
Note the model is in float16.
Codes:
```python
import transformers
import torch
import os
from huggingface_hub import create_repo, upload_folder
sour... | {"library_name": "transformers", "pipeline_tag": "text-generation", "inference": true, "widget": [{"text": "Hello!", "example_title": "Hello world", "group": "Python"}]} | yujiepan/dbrx-tiny256-random | null | [
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|
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Codes:
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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. -->
# my_awesome_eli5_clm-model_blenderbot_small
This model is a fine-tuned version of [facebook/blenderbot_small-90M](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "facebook/blenderbot_small-90M", "model-index": [{"name": "my_awesome_eli5_clm-model_blenderbot_small", "results": []}]} | kellyjiayixu/my_awesome_eli5_clm-model_blenderbot_small | null | [
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| my\_awesome\_eli5\_clm-model\_blenderbot\_small
===============================================
This model is a fine-tuned version of facebook/blenderbot\_small-90M on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0658
Model description
-----------------
More inf... | [
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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. -->
# my_awesome_imdb
This model is a fine-tuned version of [textattack/albert-base-v2-imdb](https://huggingface.co/textattack/albert-... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "textattack/albert-base-v2-imdb", "model-index": [{"name": "my_awesome_imdb", "results": []}]} | ljgries/my_awesome_imdb | null | [
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| my\_awesome\_imdb
=================
This model is a fine-tuned version of textattack/albert-base-v2-imdb on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3257
* Accuracy: 0.9398
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
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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": []} | presencesw/Vistral-7B-UIT-CLAIM_5 | null | [
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null | null | Trained from dataset v4, Lowercased, Normalized, cleaned and remove punctuation partially | {} | robzchhangte/Tokenizer-MZGPT2-uncased-cleaned | null | [
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text-generation | transformers | This model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
## This is an experiment on fixing models with incorrect behaviors.
This experiment serves to test and refine a specific training and evaluation pipeline research framework. Its primary objective is to... | {"language": ["en", "es"], "license": "mit", "library_name": "transformers", "tags": ["unsloth", "gguf", "safetensors"], "pipeline_tag": "text-generation", "base_model": "yam-peleg/Experiment26-7B"} | BarraHome/Mistroll-7B-v2.2 | null | [
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| This model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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. -->
# sft-dynamoguard
This model is a fine-tuned version of [dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978](https://huggingfac... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "alignment-handbook", "generated_from_trainer"], "datasets": ["dynamofl/toxicity-70k-april26"], "base_model": "dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978", "model-index": [{"name": "sft-dynamoguard", "results": []}]} | jamesoneill12/sft-dynamoguard | null | [
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===============
This model is a fine-tuned version of dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978 on the dynamofl/toxicity-70k-april26 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1604
Model description
-----------------
More information needed
Intended... | [
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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?"}]}]} | jiminHuang/v5DSd6AWRBWWx68s | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
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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": []} | DBangshu/Gemma2_var_aware | null | [
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text-generation | transformers |
# Model Card for Model ID
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# platzi-vit-model-arturo-guerrero
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "platzi-vit-model-arturo-guerrero", "results": []}]} | arturoxdev/platzi-vit-model-arturo-guerrero | null | [
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| platzi-vit-model-arturo-guerrero
================================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
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* Loss: 9.5298
* Accuracy: 0.0827
Model description
-----------------
More information needed
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Edinburgh-StatMT/mistral-7b-stage2-v1.abcd.loraemb | null | [
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224-in22k_fold4
This model is a fine-tuned version of [microsoft/swin-large... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-large-patch4-window7-224-in22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224-in22k_fold4", "results": [{"task": {"type": "image-classif... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224-in22k_fold4 | null | [
"transformers",
"safetensors",
"swin",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:microsoft/swin-large-patch4-window7-224-in22k",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T16:29:18+00:00 | [] | [] | TAGS
#transformers #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-large-patch4-window7-224-in22k #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| Boya1\_RMSProp\_1-e5\_10Epoch\_swin-large-patch4-window7-224-in22k\_fold4
=========================================================================
This model is a fine-tuned version of microsoft/swin-large-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
... | [
"### 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: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
"TAGS\n#transformers #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-large-patch4-window7-224-in22k #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperpa... | [
76,
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5,
40
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"TAGS\n#transformers #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-large-patch4-window7-224-in22k #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparamete... |
summarization | 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. -->
# bart-base-lora-summarization-medical
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer", "medical"], "datasets": ["mystic-leung/medical_cord19"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "pipeline_tag": "summarization", "model-index": [{"name": "bart-base-lora-summarization-medical", "results": []}]} | zbigi/bart-base-lora-summarization-medical | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"medical",
"summarization",
"dataset:mystic-leung/medical_cord19",
"base_model:facebook/bart-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-26T16:30:25+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #medical #summarization #dataset-mystic-leung/medical_cord19 #base_model-facebook/bart-base #license-apache-2.0 #region-us
| bart-base-lora-summarization-medical
====================================
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0521
* Rouge1: 0.4304
* Rouge2: 0.2352
* Rougel: 0.3663
* Rougelsum: 0.366
* Gen Len: 18.1767
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\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=1... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #medical #summarization #dataset-mystic-leung/medical_cord19 #base_model-facebook/bart-base #license-apache-2.0 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n... | [
57,
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"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #medical #summarization #dataset-mystic-leung/medical_cord19 #base_model-facebook/bart-base #license-apache-2.0 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* trai... |
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