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visual-question-answering | transformers |
<p align="center">
<img src="logo_en.png" width="400"/>
<p>
<p align="center">
<b><font size="6">InternLM-XComposer2</font></b>
<p>
<div align="center">
[💻Github Repo](https://github.com/InternLM/InternLM-XComposer)
[Paper](https://arxiv.org/abs/2401.16420)
</div>
**InternLM-XComposer2** is a vision-l... | {"license": "other", "pipeline_tag": "visual-question-answering"} | internlm/internlm-xcomposer2-vl-1_8b | null | [
"transformers",
"pytorch",
"internlmxcomposer2",
"feature-extraction",
"visual-question-answering",
"custom_code",
"arxiv:2401.16420",
"license:other",
"region:us"
] | null | 2024-04-09T07:13:21+00:00 | [
"2401.16420"
] | [] | TAGS
#transformers #pytorch #internlmxcomposer2 #feature-extraction #visual-question-answering #custom_code #arxiv-2401.16420 #license-other #region-us
|
<p align="center">
<img src="logo_en.png" width="400"/>
<p>
<p align="center">
<b><font size="6">InternLM-XComposer2</font></b>
<p>
<div align="center">
Github Repo
Paper
</div>
InternLM-XComposer2 is a vision-language large model (VLLM) based on InternLM2 for advanced text-image comprehension and comp... | [
"### Import from Transformers\nTo load the InternLM-XComposer2-VL-1.8B model using Transformers, use the following code:",
"## Quickstart\nWe provide a simple example to show how to use InternLM-XComposer with Transformers.",
"### Open Source License\nThe code is licensed under Apache-2.0, while model weights ... | [
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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="NonEng/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": ... | NonEng/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
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sft_v4_reverse_v2
This model is a fine-tuned version of [davidkim205/nox-solar-10.7b-v4](https://huggingface.co/davidkim205/nox-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "davidkim205/nox-solar-10.7b-v4", "model-index": [{"name": "sft_v4_reverse_v2", "results": []}]} | huiwonLee/sft_v4_reverse_v2 | null | [
"peft",
"safetensors",
"llama",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:davidkim205/nox-solar-10.7b-v4",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T07:15:58+00:00 | [] | [] | TAGS
#peft #safetensors #llama #trl #sft #generated_from_trainer #dataset-generator #base_model-davidkim205/nox-solar-10.7b-v4 #license-apache-2.0 #region-us
| sft\_v4\_reverse\_v2
====================
This model is a fine-tuned version of davidkim205/nox-solar-10.7b-v4 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5289
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\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-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - abby101/test
<Gallery />
## Model description
### These are abby101/test LoRA adaption weights... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "runwayml/stable-diffusion-v1-5", "instance_prompt": "A mushroom in [V] style", "widget": [{"text": " ", "outp... | abby101/test-model-card-template-dreambooth-sdxl-lora-adv | null | [
"diffusers",
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"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"lora",
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"base_model:runwayml/stable-diffusion-v1-5",
"license:openrail++",
"region:us"
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|
# SDXL LoRA DreamBooth - abby101/test
<Gallery />
## Model description
### These are abby101/test LoRA adaption weights for runwayml/stable-diffusion-v1-5.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download '..safetensors' here .
- Place it on your 'mod... | [
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Qwen/Qwen1.5-7B", "model-index": [{"name": "home/yujia/home/CN_Hateful/trained_models/qwen/CN/toxi/1e-3/", "results": []}]} | yujia23/axolotl-qwen-cn-1e-3-lora | null | [
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#peft #tensorboard #safetensors #qwen2 #generated_from_trainer #base_model-Qwen/Qwen1.5-7B #license-other #8-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
home/yujia/home/CN\_Hateful/trained\_models/qwen/CN/toxi/1e-3/
==============================================================
This model is a fine-tuned version of Qwen/Qwen1.5-7B on the None dataset.
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\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. -->
# lima_dpo_fine_tune
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "lima_dpo_fine_tune", "results": []}]} | Joyqiuyue/lima_dpo_fine_tune | null | [
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"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
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#peft #tensorboard #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# lima_dpo_fine_tune
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | mergekit-community/mergekit-slerp-zwkhacc | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* HuggingFaceH4/zephyr-7b-beta
* Equall/Saul-Base
### Configuration
The following... | [
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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": []} | PuneetSuthar/FinGPT_mistral_7b_puneet | 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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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# MooBai/distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [KoichiYasuoka/roberta-classical-chinese-base-char... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "KoichiYasuoka/roberta-classical-chinese-base-char", "model-index": [{"name": "MooBai/distilroberta-base-finetuned-wikitext2", "results": []}]} | MooBai/distilroberta-base-finetuned-wikitext2 | null | [
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| MooBai/distilroberta-base-finetuned-wikitext2
=============================================
This model is a fine-tuned version of KoichiYasuoka/roberta-classical-chinese-base-char on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 2.0894
* Validation Loss: 1.0162
* Epoch: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
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text-generation | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft", "pipeline_tag": "text-generation"} | ManushreeVenkatesh/llama2-b | null | [
"peft",
"text-generation",
"has_space",
"region:us"
] | null | 2024-04-09T07:29:15+00:00 | [] | [] | TAGS
#peft #text-generation #has_space #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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text-generation | transformers |
This model is a part of two model series, AryaBhatta-1 and AryaBhatta-2 and is finetuned from HuggingFaceH4/zephyr-7b-gemma-v0.1 or Google/gemma and is finetuned on 9 Indian languages (Hindi, Tamil, Punjabi, Bengali, Gujarati, Oriya, Telugu, Kannada, Malayalam) plus English.
There are two models. One finetuned on Go... | {"license": "mit"} | GenVRadmin/AryaBhatta-GemmaOrca-2-Merged | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HackerCIS/bloomz-560m_LoRA | 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 |
Chopping a model ! :
Simular to starting a model from scratch ! - 3b -
Weights are not alligned and need to be fine tuned hence this model needs lots of tuning to be the basic model! but on some datasets there is a fit; so data weight is imortant so as much as possible will be installed ! ie the orca and the dolphin... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "LeroyDyer/Mixtral_Mini_AI", "pipeline_tag": "text-generation"} | LeroyDyer/Mixtral_Mini_AI | null | [
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Chopping a model ! :
Simular to starting a model from scratch ! - 3b -
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text-generation | transformers | # MMUN Model Card
<!-- Provide a quick summary of what the model is/does. -->
## Model details
- **Model type:** MMUN is a **M**ulti-modal **M**obile **U**I **N**avigation model trained on Android device operation data annotated by humans, focusing on operations of instant messaging apps. It is an autoregressive lang... | {"license": "llama2"} | NetMindAI/MMUN-v0.1-7b | null | [
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"region:us"
] | null | 2024-04-09T07:36:53+00:00 | [] | [] | TAGS
#transformers #pytorch #llava #text-generation #license-llama2 #autotrain_compatible #endpoints_compatible #region-us
| # MMUN Model Card
## Model details
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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... | BaibhavJoshi/ppo-LunarLander-v2 | null | [
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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-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. -->
# asap-bert-only
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "asap-bert-only", "results": []}]} | teambangan/asap-bert-only | null | [
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| asap-bert-only
==============
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1587
* Accuracy: 0.7026
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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null | null | # Introduction
See also
https://github.com/k2-fsa/icefall/pull/1421 | {"license": "apache-2.0"} | k2-fsa/sherpa-onnx-zipformer-audio-tagging-2024-04-09 | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | mergekit-community/mergekit-slerp-yqautow | null | [
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"base_model:Equall/Saul-Base",
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* HuggingFaceH4/zephyr-7b-beta
* Equall/Saul-Base
### Configuration
The following... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="NonEng/taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
en... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | NonEng/taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | gouthamsk/mistral-embedded-c-v0.4 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Jinwoo870/Llama2_Finetuned_No-ID-textdata | 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": []} | readerbench/qwen_1.8b_scoring_se_su | null | [
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"text-generation",
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"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#transformers #safetensors #qwen2 #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.
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- Funded by [optional]:
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null | null |
# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q5_K_M-GGUF
This model was converted to GGUF format from [`TeeZee/NEBULA-XB-v1.0_SFT_2_epoch`](https://huggingface.co/TeeZee/NEBULA-XB-v1.0_SFT_2_epoch) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["athirdpath/Merge_Glue"], "model-index": [{"name": "NEBULA-XB-v1.0_SFT_2_epoch", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config"... | DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q5_K_M-GGUF | null | [
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"model-index",
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#gguf #llama-cpp #gguf-my-repo #dataset-athirdpath/Merge_Glue #license-apache-2.0 #model-index #region-us
|
# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q5_K_M-GGUF
This model was converted to GGUF format from 'TeeZee/NEBULA-XB-v1.0_SFT_2_epoch' 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.
C... | [
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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. -->
# asap-bert-lf
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "asap-bert-lf", "results": []}]} | teambangan/asap-bert-lf | null | [
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"base_model:bert-base-uncased",
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| asap-bert-lf
============
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7513
* Accuracy: 0.6989
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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | Kuioma/Reinforce-CartPole-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
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"model-index",
"region:us"
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# token-classification-llmlingua2-m_bert-bctn-4001_sample-5_epoch_vi
This model is a fine-tuned version of [google-bert/bert-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-base-multilingual-cased", "model-index": [{"name": "token-classification-llmlingua2-m_bert-bctn-4001_sample-5_epoch_vi", "results": []}]} | qminh369/token-classification-llmlingua2-m_bert-bctn-4001_sample-5_epoch_vi | null | [
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| token-classification-llmlingua2-m\_bert-bctn-4001\_sample-5\_epoch\_vi
======================================================================
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2837
... | [
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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": ["unsloth"]} | lilyyellow/unsloth-mistral-7b-bnb-4bit-sft | null | [
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"safetensors",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
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#transformers #safetensors #unsloth #arxiv-1910.09700 #endpoints_compatible #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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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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. -->
# long-t5-local-base-finetuned-justification-v06
This model is a fine-tuned version of [google/long-t5-local-base](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/long-t5-local-base", "model-index": [{"name": "long-t5-local-base-finetuned-justification-v06", "results": []}]} | satyanshu404/long-t5-local-base-finetuned-justification-v06 | null | [
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| long-t5-local-base-finetuned-justification-v06
==============================================
This model is a fine-tuned version of google/long-t5-local-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8645
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 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": []} | Juan21nino/Kenito_Modelo | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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null | null |
## Local Attention Bias
The "models" folder can be found in "Files and versions".
The content of the "models" directory is described here:
```
models
│ bert-base-uncased_tsm_False_fix_False.pt # GAB
│ bert-base-uncased_tsm_True_fix_False.pt # GAB+LAB
│ bert-base-uncased_tsm_True_fix_True.pt # GAB+LAB+Gaz... | {"license": "mit"} | cfilt/bert_base_uncased_gab_lab_gaze | null | [
"license:mit",
"region:us"
] | null | 2024-04-09T08:01:49+00:00 | [] | [] | TAGS
#license-mit #region-us
|
## Local Attention Bias
The "models" folder can be found in "Files and versions".
The content of the "models" directory is described here:
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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. -->
# V0408MP5
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": "V0408MP5", "results": []}]} | Litzy619/V0408MP5 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0408MP5
========
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: 0.3167
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# V0408MP6
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": "V0408MP6", "results": []}]} | Litzy619/V0408MP6 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-09T08:03:17+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0408MP6
========
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: 0.2973
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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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", "trl", "sft"]} | lilyyellow/unsloth-mistral-7b-bnb-4bit-sft-merged | 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 | null |
# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q5_K_S-GGUF
This model was converted to GGUF format from [`TeeZee/NEBULA-XB-v1.0_SFT_2_epoch`](https://huggingface.co/TeeZee/NEBULA-XB-v1.0_SFT_2_epoch) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["athirdpath/Merge_Glue"], "model-index": [{"name": "NEBULA-XB-v1.0_SFT_2_epoch", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config"... | DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q5_K_S-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #dataset-athirdpath/Merge_Glue #license-apache-2.0 #model-index #region-us
|
# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q5_K_S-GGUF
This model was converted to GGUF format from 'TeeZee/NEBULA-XB-v1.0_SFT_2_epoch' 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.
C... | [
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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. -->
# 0.00045_idpo_same_noreplacerej_decalpha_iter_2
This model is a fine-tuned version of [ZhangShenao/0.001_idpo_same_noreplacerej_d... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ZhangShenao/0.001_idpo_same_noreplacerej_decalpha_iter_1", "model-index": [{"name": "0.00045_idpo_same_noreplacerej_decalpha_iter_2", "results": []}]} | ZhangShenao/0.00045_idpo_same_noreplacerej_decalpha_iter_2 | null | [
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... | null | 2024-04-09T08:08:01+00:00 | [] | [] | TAGS
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# 0.00045_idpo_same_noreplacerej_decalpha_iter_2
This model is a fine-tuned version of ZhangShenao/0.001_idpo_same_noreplacerej_decalpha_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluatio... | [
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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/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Norway-lora | 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. -->
# test11_balanced_50ep
This model is a fine-tuned version of [ibaucells/RoBERTa-ca-CaWikiTC](https://huggingface.co/ibaucells/RoBE... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "ibaucells/RoBERTa-ca-CaWikiTC", "pipeline_tag": "text-classification", "model-index": [{"name": "test11_balanced_50ep", "results": []}]} | adriansanz/test11_balanced_50ep | null | [
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| test11\_balanced\_50ep
======================
This model is a fine-tuned version of ibaucells/RoBERTa-ca-CaWikiTC on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0764
* Accuracy: 0.5294
* F1: 0.5256
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 10\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\\_steps... | [
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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/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Poland-lora | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["llama-factory"]} | echojay/test_identity2 | 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. -->
## 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/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Portugal-lora | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/rv9esju | 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 |
# 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/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Russia-lora | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Inex12Neuralsynthesis-7B
Inex12Neuralsynthesis-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [Kukedlc/NeuralSynthesis-7B-v0.3](https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.3)
## 🧩 Configuration
```yaml
models:
- model: MSL7/INEX... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["Kukedlc/NeuralSynthesis-7B-v0.3"]} | automerger/Inex12Neuralsynthesis-7B | null | [
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|
# Inex12Neuralsynthesis-7B
Inex12Neuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
* Kukedlc/NeuralSynthesis-7B-v0.3
## Configuration
## Usage
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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/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Slovakia-lora | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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null | null | Buy Now!! Click the link below for more information and get 50% off now!! Hurry up !!
Read More: https://www.nutritioncrawler.com/Micozeroid
What is Micozerma Oil Bestanddele?
Micozerma Oil Voordele is a specialized formula designed to promote healthy nails and combat common nail problems like fungal infections, dis... | {"license": "apache-2.0"} | Micozerma/Micozerma | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T08:14:41+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Buy Now!! Click the link below for more information and get 50% off now!! Hurry up !!
Read More: URL
What is Micozerma Oil Bestanddele?
Micozerma Oil Voordele is a specialized formula designed to promote healthy nails and combat common nail problems like fungal infections, discoloration, and brittleness. Crafted fro... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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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/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Slovenia-lora | null | [
"peft",
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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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. -->
# adapter_finetune_vistral_7b_20240409
This model is a fine-tuned version of [Viet-Mistral/Vistral-7B-Chat](https://huggingface.co... | {"license": "afl-3.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Viet-Mistral/Vistral-7B-Chat", "model-index": [{"name": "adapter_finetune_vistral_7b_20240409", "results": []}]} | maixbach/adapter_finetune_vistral_7b_20240409 | null | [
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|
# adapter_finetune_vistral_7b_20240409
This model is a fine-tuned version of Viet-Mistral/Vistral-7B-Chat on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/7dnqwjb | 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": []} | Grayx/unstable_59 | 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 |
# 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]
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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. -->
# test
This model is a fine-tuned version of [asi/gpt-fr-cased-small](https://huggingface.co/asi/gpt-fr-cased-small) on the None d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "asi/gpt-fr-cased-small", "model-index": [{"name": "test", "results": []}]} | jantigny/test | null | [
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|
# test
This model is a fine-tuned version of asi/gpt-fr-cased-small 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 hyperparameters
The followi... | [
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text-generation | transformers |
<div align="center">
<h1>
360Zhinao (360智脑)
</h1>
</div>
<div align="center">
🤗 <a href="https://huggingface.co/qihoo360">HuggingFace</a>   |   
🤖 <a href="https://www.modelscope.cn/profile/qihoo360">ModelScope</a>   ｜   
💬 <a href="./assets/WeChat.png">WeChat (微信)</a>&... | {"language": ["zh", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["qihoo360", "\u5947\u864e360", "zhinao", "360Zhinao", "pretrain"]} | qihoo360/360Zhinao-7B-Base | null | [
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|
360Zhinao (360智脑)
===================
[WeChat (微信)](./assets/URL)
Feel free to visit 360Zhinao's official website<URL> for more experience.
Introduction
============
We released the 360Zhinao model series:
* 360Zhinao-7B-Base
* 360Zhinao-7B-Chat-4K
* 360Zhinao-7B-Chat-32K
* 360Zhinao-7B-Chat-... | [
"### Long Context Benchmarks\n\n\nWe evaluated our 32K and 360K models on LongBench, a multi-task bilingual benchmark for long contexts. We report results on Chinese tasks most relevant to downstream applications: Single/Multi-Doc QA, Summarization, Few-Shot Learning and Code Completion.\n* ### 360Zhinao-7B-Chat-36... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Textual inversion text2image fine-tuning - anantk/textual_inversion_cream_pixart_v1
These are textual inversion adaption... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "Joeythemonster/anything-midjourney-v-4-1", "inference": true} | anantk/textual_inversion_cream_pixart_v1 | null | [
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"diffusers:StableDiffusionPip... | null | 2024-04-09T08:17:35+00:00 | [] | [] | TAGS
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|
# Textual inversion text2image fine-tuning - anantk/textual_inversion_cream_pixart_v1
These are textual inversion adaption weights for Joeythemonster/anything-midjourney-v-4-1. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO... | [
"# Textual inversion text2image fine-tuning - anantk/textual_inversion_cream_pixart_v1\nThese are textual inversion adaption weights for Joeythemonster/anything-midjourney-v-4-1. You can find some example images in the following.",
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null | fasttext |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
The model will provide a Q&A experience for Product Managers, it will answer questions related to Product Lifecycle, common practices and tools.
This modelcard aims to be a base template for new models. It has been generated using... | {"language": ["en"], "license": "osl-3.0", "library_name": "fasttext", "metrics": ["accuracy", "bertscore"]} | MrSinister/PABOC | null | [
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# Model Card for Model ID
The model will provide a Q&A experience for Product Managers, it will answer questions related to Product Lifecycle, common practices and tools.
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### Model Descriptio... | [
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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/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Sweden-lora | null | [
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|
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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. -->
# swinv2-small-patch4-window8-256-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swinv2-small-patch4-window8-2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swinv2-small-patch4-window8-256", "model-index": [{"name": "swinv2-small-patch4-window8-256-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Imag... | jaimin/swinv2-small-patch4-window8-256-finetuned-eurosat | null | [
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| swinv2-small-patch4-window8-256-finetuned-eurosat
=================================================
This model is a fine-tuned version of microsoft/swinv2-small-patch4-window8-256 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2717
* Accuracy: 0.6875
Model descripti... | [
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text-generation | transformers |
<div align="center">
<h1>
360Zhinao (360智脑)
</h1>
</div>
<div align="center">
🤗 <a href="https://huggingface.co/qihoo360">HuggingFace</a>   |   
🤖 <a href="https://www.modelscope.cn/profile/qihoo360">ModelScope</a>   ｜   
💬 <a href="./assets/WeChat.png">WeChat (微信)</a>&... | {"language": ["zh", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["qihoo360", "\u5947\u864e360", "zhinao", "360Zhinao", "pretrain"]} | qihoo360/360Zhinao-7B-Chat-360K | null | [
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|
360Zhinao (360智脑)
===================
[WeChat (微信)](./assets/URL)
Feel free to visit 360Zhinao's official website<URL> for more experience.
Introduction
============
We released the 360Zhinao model series:
* 360Zhinao-7B-Base
* 360Zhinao-7B-Chat-4K
* 360Zhinao-7B-Chat-32K
* 360Zhinao-7B-Chat-... | [
"### Long Context Benchmarks\n\n\nWe evaluated our 32K and 360K models on LongBench, a multi-task bilingual benchmark for long contexts. We report results on Chinese tasks most relevant to downstream applications: Single/Multi-Doc QA, Summarization, Few-Shot Learning and Code Completion.\n* ### 360Zhinao-7B-Chat-36... | [
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null | transformers |
# Uploaded model
- **Developed by:** peterface
- **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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | peterface/lora_model | null | [
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# Uploaded model
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Switzerland-lora | null | [
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text-to-speech | transformers |
<img src="https://huggingface.co/datasets/parler-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Parler-TTS Mini v0.1
<a target="_blank" href="https://huggingface.co/spaces/parler-tts/parler_tts_mini">
<img src="https://huggin... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-to-speech", "annotation"], "datasets": ["parler-tts/mls_eng_10k", "blabble-io/libritts_r", "parler-tts/libritts_r_tags_tagged_10k_generated", "parler-tts/mls-eng-10k-tags_tagged_10k_generated"], "pipeline_tag": "text-to-speech"... | parler-tts/parler_tts_mini_v0.1 | null | [
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"dataset:parler-tts/mls-eng-10k-tags_tagged_10k_generated",
"... | null | 2024-04-09T08:20:23+00:00 | [
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<img src="URL alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Parler-TTS Mini v0.1
<a target="_blank" href="URL
<img src="URL alt="Open in HuggingFace"/>
</a>
* Fine-tuning guide on Colab:
<a target="_blank" href="URL
<img src="URL alt="Open In Colab"/>
</a>
... | [
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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/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Ukraine-lora | null | [
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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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... | Wendao-123/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: 0.2145
* Accuracy: 0.9255
* F1: 0.9256
Model description
-----------------
Mo... | [
"### 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",
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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_billsum_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_billsum_model", "results": []}]} | PergaZuZ/my_awesome_billsum_model | null | [
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| my\_awesome\_billsum\_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: 2.5446
* Rouge1: 0.1438
* Rouge2: 0.05
* Rougel: 0.1167
* Rougelsum: 0.1165
* Gen Len: 19.0
Model description
-------------... | [
"### 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: 4\n* mixed\\_prec... | [
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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/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-United_Kingdom-lora | null | [
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"1910.09700"
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|
# 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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text-generation | transformers |
<div align="center">
<h1>
360Zhinao (360智脑)
</h1>
</div>
<div align="center">
🤗 <a href="https://huggingface.co/qihoo360">HuggingFace</a>   |   
🤖 <a href="https://www.modelscope.cn/profile/qihoo360">ModelScope</a>   ｜   
💬 <a href="./assets/WeChat.png">WeChat (微信)</a>&... | {"language": ["zh", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["qihoo360", "\u5947\u864e360", "zhinao", "360Zhinao", "pretrain"]} | qihoo360/360Zhinao-7B-Chat-32K-Int4 | null | [
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|
360Zhinao (360智脑)
===================
[WeChat (微信)](./assets/URL)
Feel free to visit 360Zhinao's official website<URL> for more experience.
Introduction
============
We released the 360Zhinao model series:
* 360Zhinao-7B-Base
* 360Zhinao-7B-Chat-4K
* 360Zhinao-7B-Chat-32K
* 360Zhinao-7B-Chat-... | [
"### Long Context Benchmarks\n\n\nWe evaluated our 32K and 360K models on LongBench, a multi-task bilingual benchmark for long contexts. We report results on Chinese tasks most relevant to downstream applications: Single/Multi-Doc QA, Summarization, Few-Shot Learning and Code Completion.\n* ### 360Zhinao-7B-Chat-36... | [
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text-generation | recurrentgemma |
# RecurrentGemma Model Card
> [!IMPORTANT]
>
> This repository corresponds to the research [RecurrentGemma repository](https://github.com/google-deepmind/recurrentgemma) in Jax.
>
**Model Page**: [RecurrentGemma](https://ai.google.dev/gemma/docs)
This model card corresponds to the 2B base version of the RecurrentGe... | {"license": "gemma", "library_name": "recurrentgemma", "tags": ["jax"], "extra_gated_heading": "Access RecurrentGemma on Hugging Face", "extra_gated_prompt": "To access RecurrentGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-i... | google/recurrentgemma-2b-flax | null | [
"recurrentgemma",
"jax",
"text-generation",
"license:gemma",
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] | null | 2024-04-09T08:22:59+00:00 | [] | [] | TAGS
#recurrentgemma #jax #text-generation #license-gemma #region-us
|
# RecurrentGemma Model Card
> [!IMPORTANT]
>
> This repository corresponds to the research RecurrentGemma repository in Jax.
>
Model Page: RecurrentGemma
This model card corresponds to the 2B base version of the RecurrentGemma model for usage with flax. For more information about the model, visit URL
Resources and... | [
"# RecurrentGemma Model Card\n\n> [!IMPORTANT]\n>\n> This repository corresponds to the research RecurrentGemma repository in Jax.\n> \nModel Page: RecurrentGemma\n\nThis model card corresponds to the 2B base version of the RecurrentGemma model for usage with flax. For more information about the model, visit URL\n\... | [
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text-generation | transformers |
<div align="center">
<h1>
360Zhinao (360智脑)
</h1>
</div>
<div align="center">
🤗 <a href="https://huggingface.co/qihoo360">HuggingFace</a>   |   
🤖 <a href="https://www.modelscope.cn/profile/qihoo360">ModelScope</a>   ｜   
💬 <a href="./assets/WeChat.png">WeChat (微信)</a>&... | {"language": ["zh", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["qihoo360", "\u5947\u864e360", "zhinao", "360Zhinao", "pretrain"]} | qihoo360/360Zhinao-7B-Chat-360K-Int4 | null | [
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"text-generation",
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"奇虎360",
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|
360Zhinao (360智脑)
===================
[WeChat (微信)](./assets/URL)
Feel free to visit 360Zhinao's official website<URL> for more experience.
Introduction
============
We released the 360Zhinao model series:
* 360Zhinao-7B-Base
* 360Zhinao-7B-Chat-4K
* 360Zhinao-7B-Chat-32K
* 360Zhinao-7B-Chat-... | [
"### Long Context Benchmarks\n\n\nWe evaluated our 32K and 360K models on LongBench, a multi-task bilingual benchmark for long contexts. We report results on Chinese tasks most relevant to downstream applications: Single/Multi-Doc QA, Summarization, Few-Shot Learning and Code Completion.\n* ### 360Zhinao-7B-Chat-36... | [
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text-generation | recurrentgemma |
# RecurrentGemma Model Card
**Model Page**: [RecurrentGemma](https://ai.google.dev/gemma/docs)
> [!IMPORTANT]
>
> This repository corresponds to the research [RecurrentGemma repository](https://github.com/google-deepmind/recurrentgemma) in Jax.
This model card corresponds to the 2B instruct version of the Recurrent... | {"license": "gemma", "library_name": "recurrentgemma", "tags": ["jax"], "extra_gated_heading": "Access RecurrentGemma on Hugging Face", "extra_gated_prompt": "To access RecurrentGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-i... | google/recurrentgemma-2b-it-flax | null | [
"recurrentgemma",
"jax",
"text-generation",
"license:gemma",
"region:us"
] | null | 2024-04-09T08:24:39+00:00 | [] | [] | TAGS
#recurrentgemma #jax #text-generation #license-gemma #region-us
|
# RecurrentGemma Model Card
Model Page: RecurrentGemma
> [!IMPORTANT]
>
> This repository corresponds to the research RecurrentGemma repository in Jax.
This model card corresponds to the 2B instruct version of the RecurrentGemma model for usage with flax. For more information about the model, visit URL
Resources a... | [
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"TAGS\n#recurrentgemma #jax #text-generation #license-gemma #region-us \n# RecurrentGemma Model Card\n\nModel Page: RecurrentGemma\n\n> [!IMPORTANT]\n>\n> This repository corresponds to the research RecurrentGemma repository in Jax.\n\nThis model card corresponds to the 2B instruct version of the RecurrentGemma mod... |
text-generation | transformers |
# mlx-community/h2o-danube2-1.8b-base-4bit
This model was converted to MLX format from [`h2oai/h2o-danube2-1.8b-base`]() using mlx-lm version **0.8.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/h2oai/h2o-danube2-1.8b-base) for more d... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "mlx"]} | mlx-community/h2o-danube2-1.8b-base-4bit | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"gpt",
"llm",
"large language model",
"mlx",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T08:24:48+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #gpt #llm #large language model #mlx #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mlx-community/h2o-danube2-1.8b-base-4bit
This model was converted to MLX format from ['h2oai/h2o-danube2-1.8b-base']() using mlx-lm version 0.8.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dpo_v4_reseve_v1
This model is a fine-tuned version of [davidkim205/nox-solar-10.7b-v4](https://huggingface.co/davidkim205/nox-s... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "davidkim205/nox-solar-10.7b-v4", "model-index": [{"name": "dpo_v4_reseve_v1", "results": []}]} | huiwonLee/dpo_v4_reseve_v1 | null | [
"peft",
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"llama",
"trl",
"dpo",
"generated_from_trainer",
"base_model:davidkim205/nox-solar-10.7b-v4",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T08:28:34+00:00 | [] | [] | TAGS
#peft #safetensors #llama #trl #dpo #generated_from_trainer #base_model-davidkim205/nox-solar-10.7b-v4 #license-apache-2.0 #region-us
| dpo\_v4\_reseve\_v1
===================
This model is a fine-tuned version of davidkim205/nox-solar-10.7b-v4 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2529
* Rewards/chosen: 1.8018
* Rewards/rejected: -2.8948
* Rewards/accuracies: 0.5640
* Rewards/margins: 4.6966
* Lo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\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:** mahiatlinux
- **License:** apache-2.0
- **Finetuned from model :** mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code4
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubuserconten... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code4"} | mahiatlinux/MasherAI-7B-v6.1-final-test1 | null | [
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"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T08:28:53+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: mahiatlinux
- License: apache-2.0
- Finetuned from model : mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code4
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: mahiatlinux\n- License: apache-2.0\n- Finetuned from model : mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code4\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | layel2/test-bert2 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T08:29:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Qwen/Qwen1.5-7B", "model-index": [{"name": "home/yujia/home/CN_Hateful/trained_models/qwen/CN/toxi/5e-3/", "results": []}]} | yujia23/axolotl-qwen-cn-5e-3-lora | null | [
"peft",
"tensorboard",
"safetensors",
"qwen2",
"generated_from_trainer",
"base_model:Qwen/Qwen1.5-7B",
"license:other",
"8-bit",
"region:us"
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#peft #tensorboard #safetensors #qwen2 #generated_from_trainer #base_model-Qwen/Qwen1.5-7B #license-other #8-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
home/yujia/home/CN\_Hateful/trained\_models/qwen/CN/toxi/5e-3/
==============================================================
This model is a fine-tuned version of Qwen/Qwen1.5-7B on the None dataset.
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.005\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n*... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner-0904
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner-0904", "results": []}]} | Favourphilic/bert-finetuned-ner-0904 | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"token-classification",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T08:34:19+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ner-0904
=======================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0595
* Precision: 0.9334
* Recall: 0.9477
* F1: 0.9405
* Accuracy: 0.9859
Model description
-----------------
More infor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Training... | [
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null | null |
# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q6_K-GGUF
This model was converted to GGUF format from [`TeeZee/NEBULA-XB-v1.0_SFT_2_epoch`](https://huggingface.co/TeeZee/NEBULA-XB-v1.0_SFT_2_epoch) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["athirdpath/Merge_Glue"], "model-index": [{"name": "NEBULA-XB-v1.0_SFT_2_epoch", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config"... | DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:athirdpath/Merge_Glue",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-09T08:35:09+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-athirdpath/Merge_Glue #license-apache-2.0 #model-index #region-us
|
# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q6_K-GGUF
This model was converted to GGUF format from 'TeeZee/NEBULA-XB-v1.0_SFT_2_epoch' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI... | [
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text-generation | transformers |
# Gemma 7B OpenHermes v0.80
- Eval Loss: `0.4544`
- Train Loss: `0.3129`
- lr: `5e-5`
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
This is an instruction-following model finetuned from the Gemma 1.1 7B model. It was finetuned on the OpenHermes-2.5 dataset to improve its ability to engage in ope... | {"language": ["en"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "google/gemma-1.1-7b-it", "pipeline_tag": "text-generation"} | lemon-mint/gemma-7b-openhermes-v0.80 | null | [
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"safetensors",
"gemma",
"text-generation",
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"instruct",
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"dataset:teknium/OpenHermes-2.5",
"base_model:google/gemma-1.1-7b-it",
"license:gemma",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"re... | null | 2024-04-09T08:35:37+00:00 | [] | [
"en"
] | TAGS
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|
# Gemma 7B OpenHermes v0.80
- Eval Loss: '0.4544'
- Train Loss: '0.3129'
- lr: '5e-5'
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
This is an instruction-following model finetuned from the Gemma 1.1 7B model. It was finetuned on the OpenHermes-2.5 dataset to improve its ability to engage in ope... | [
"# Gemma 7B OpenHermes v0.80\n\n- Eval Loss: '0.4544'\n- Train Loss: '0.3129'\n- lr: '5e-5'\n- optimizer: adamw\n- lr_scheduler_type: cosine",
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text-generation | transformers |
# YamT3qm7xp_Experiment31Experiment29
YamT3qm7xp_Experiment31Experiment29 is a merge of the following models:
* [automerger/YamT3qm7xp-7B](https://huggingface.co/automerger/YamT3qm7xp-7B)
* [automerger/Experiment31Experiment29-7B](https://huggingface.co/automerger/Experiment31Experiment29-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamT3qm7xp_Experiment31Experiment29", "base_model": ["automerger/YamT3qm7xp-7B", "automerger/Experiment31Experiment29-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/YamT3qm7xp_Experiment31Experiment29 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamT3qm7xp-7B",
"base_model:automerger/Experiment31Experiment29-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T08:37:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamT3qm7xp-7B #base_model-automerger/Experiment31Experiment29-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamT3qm7xp_Experiment31Experiment29
YamT3qm7xp_Experiment31Experiment29 is a merge of the following models:
* automerger/YamT3qm7xp-7B
* automerger/Experiment31Experiment29-7B
## Usage
| [
"# YamT3qm7xp_Experiment31Experiment29\n\nYamT3qm7xp_Experiment31Experiment29 is a merge of the following models:\n* automerger/YamT3qm7xp-7B\n* automerger/Experiment31Experiment29-7B",
"## Usage"
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamT3qm7xp-7B #base_model-automerger/Experiment31Experiment29-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# YamT3qm7xp_Experiment31Experiment29\n\nYamT3qm7xp_Experime... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_YamExperiment28
M7Yamshadowexperiment28_YamExperiment28 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/YamExperiment28-7B](https://huggingface.co/automerger/YamExperiment28-7B)
## 💻 ... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_YamExperiment28", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/YamExperiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generati... | MaziyarPanahi/M7Yamshadowexperiment28_YamExperiment28 | null | [
"transformers",
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"text-generation",
"Safetensors",
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"base_model:automerger/YamExperiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T08:37:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/YamExperiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_YamExperiment28
M7Yamshadowexperiment28_YamExperiment28 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/YamExperiment28-7B
## Usage
| [
"# M7Yamshadowexperiment28_YamExperiment28\n\nM7Yamshadowexperiment28_YamExperiment28 is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/YamExperiment28-7B",
"## Usage"
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"# M7Yamshadowexperiment28_YamExperiment28\n\nM7Yamshadow... | [
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text-generation | transformers |
# Experiment26Neuralsirkrishna_ShadowExperiment28
Experiment26Neuralsirkrishna_ShadowExperiment28 is a merge of the following models:
* [automerger/Experiment26Neuralsirkrishna-7B](https://huggingface.co/automerger/Experiment26Neuralsirkrishna-7B)
* [automerger/ShadowExperiment28-7B](https://huggingface.co/automerger... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Neuralsirkrishna_ShadowExperiment28", "base_model": ["automerger/Experiment26Neuralsirkrishna-7B", "automerger/ShadowExperiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag"... | MaziyarPanahi/Experiment26Neuralsirkrishna_ShadowExperiment28 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment26Neuralsirkrishna-7B",
"base_model:automerger/ShadowExperiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T08:37:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Neuralsirkrishna-7B #base_model-automerger/ShadowExperiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Neuralsirkrishna_ShadowExperiment28
Experiment26Neuralsirkrishna_ShadowExperiment28 is a merge of the following models:
* automerger/Experiment26Neuralsirkrishna-7B
* automerger/ShadowExperiment28-7B
## Usage
| [
"# Experiment26Neuralsirkrishna_ShadowExperiment28\n\nExperiment26Neuralsirkrishna_ShadowExperiment28 is a merge of the following models:\n* automerger/Experiment26Neuralsirkrishna-7B\n* automerger/ShadowExperiment28-7B",
"## Usage"
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Neuralsirkrishna-7B #base_model-automerger/ShadowExperiment28-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# Experiment26Neuralsirkrishna_ShadowExperiment2... | [
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text-generation | transformers |
# MeliodasPercival_01_Experiment26Experiment30
MeliodasPercival_01_Experiment26Experiment30 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Experiment26Experiment30-7B](https://huggingface.co/automerger/Experiment26Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Experiment26Experiment30", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Experiment26Experiment30-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/MeliodasPercival_01_Experiment26Experiment30 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/Experiment26Experiment30-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T08:37:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Experiment26Experiment30-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Experiment26Experiment30
MeliodasPercival_01_Experiment26Experiment30 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Experiment26Experiment30-7B
## Usage
| [
"# MeliodasPercival_01_Experiment26Experiment30\n\nMeliodasPercival_01_Experiment26Experiment30 is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Experiment26Experiment30-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Experiment26Experiment30-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# MeliodasPercival_01_Experiment26Experiment30\n\nM... | [
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text-generation | transformers |
# Experiment28T3q_ShadowOgno
Experiment28T3q_ShadowOgno is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/ShadowOgno-7B](https://huggingface.co/automerger/ShadowOgno-7B)
## 💻 Usage
```python
!pip install -qU transformers acce... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_ShadowOgno", "base_model": ["automerger/Experiment28T3q-7B", "automerger/ShadowOgno-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "Mazi... | MaziyarPanahi/Experiment28T3q_ShadowOgno | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28T3q-7B",
"base_model:automerger/ShadowOgno-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T08:37:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/ShadowOgno-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_ShadowOgno
Experiment28T3q_ShadowOgno is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/ShadowOgno-7B
## Usage
| [
"# Experiment28T3q_ShadowOgno\n\nExperiment28T3q_ShadowOgno is a merge of the following models:\n* automerger/Experiment28T3q-7B\n* automerger/ShadowOgno-7B",
"## Usage"
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"# Experiment28T3q_ShadowOgno\n\nExperiment28T3q_ShadowOgno is a merge... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta_intent_ofis
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-ba... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "roberta_intent_ofis", "results": []}]} | LuuNgoc2k2/roberta_intent_ofis | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T08:38:07+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| roberta\_intent\_ofis
=====================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0013
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-06\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Trainin... | [
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text-generation | transformers |
## My first ever successful merge: QueenLiz 120B
this is a linear merge of Quartet70B (https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001) and Lzlv 70B (https://huggingface.co/lizpreciati... | {} | blockblockblock/QueenLiz-120B-bpw4 | null | [
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"text-generation",
"arxiv:2203.05482",
"autotrain_compatible",
"endpoints_compatible",
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"4-bit",
"region:us"
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"2203.05482"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-2203.05482 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
## My first ever successful merge: QueenLiz 120B
!image/png
this is a linear merge of Quartet70B (URL and Lzlv 70B (URL
Sharing it here so hopefully someone else with proper machine can try this out.
NOTE: Context Window should be 32K
My Q4KM GGUF here :URL
Thanks to the Mad Skills by @mradermacher - a whole s... | [
"## My first ever successful merge: QueenLiz 120B\n\n\n!image/png\n\nthis is a linear merge of Quartet70B (URL and Lzlv 70B (URL\n\nSharing it here so hopefully someone else with proper machine can try this out.\n\n\nNOTE: Context Window should be 32K\n\nMy Q4KM GGUF here :URL\n\nThanks to the Mad Skills by @mrader... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-2203.05482 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-2203.05482 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n## My first ever successful merge: QueenLiz 120B\n\n\n!image/png\n\nthis is a linear merge of Quartet70B (URL and Lzlv 70B (URL\n\nSharing it here so... |
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": []} | bjkim1/llama-2-7b-ko-test-1 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #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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- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# YamshadowStrangemerges_32_YamshadowT3q
YamshadowStrangemerges_32_YamshadowT3q is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/YamshadowT3q-7B](https://huggingface.co/automerger/YamshadowT3q-7B)
## 💻 Usag... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_YamshadowT3q", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/YamshadowT3q-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation... | MaziyarPanahi/YamshadowStrangemerges_32_YamshadowT3q | null | [
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"safetensors",
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"base_model:automerger/YamshadowT3q-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T08:39:17+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/YamshadowT3q-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_YamshadowT3q
YamshadowStrangemerges_32_YamshadowT3q is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/YamshadowT3q-7B
## Usage
| [
"# YamshadowStrangemerges_32_YamshadowT3q\n\nYamshadowStrangemerges_32_YamshadowT3q is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/YamshadowT3q-7B",
"## Usage"
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | bencyc1129/mitre-bert-small | null | [
"transformers",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T08:43:54+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #fill-mask #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the eli5_cate... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilgpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | lukeBB/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of distilgpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.8298
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | mergekit-community/mergekit-slerp-nhkpset | null | [
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"base_model:Equall/Saul-Base",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T08:45:08+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* HuggingFaceH4/zephyr-7b-beta
* Equall/Saul-Base
### Configuration
The following... | [
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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": []} | Rud/gemma-7b-multi-lexsum | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # EEVE-LLaVA-2.8B-CLIP_KO-pretrain
**This model is a pretrained version of the llava multimodal projector.**
**You can use this model to finetune [EEVE-Korean-Instruct-2.8B-v1.0]... | {"license": "apache-2.0", "datasets": ["tabtoyou/KoLLaVA-CC3M-Pretrain-595K"]} | Nagase-Kotono/EEVE-LLaVA-2.8B-CLIP_KO-pretrain | null | [
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T08:48:35+00:00 | [] | [] | TAGS
#transformers #llava_phi #text-generation #custom_code #dataset-tabtoyou/KoLLaVA-CC3M-Pretrain-595K #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # EEVE-LLaVA-2.8B-CLIP_KO-pretrain
!이미지
This model is a pretrained version of the llava multimodal projector.
You can use this model to finetune EEVE-Korean-Instruct-2.8B-v1.0 model.
Use Bingsu/clip-vit-large-patch14-ko
## Hardware
*3x NVIDIA A100 40GB*
## Software
*Using MoE-LLaVA* | [
"# EEVE-LLaVA-2.8B-CLIP_KO-pretrain\n\n!이미지 \n\nThis model is a pretrained version of the llava multimodal projector.\n\nYou can use this model to finetune EEVE-Korean-Instruct-2.8B-v1.0 model. \n \nUse Bingsu/clip-vit-large-patch14-ko",
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"## Software\n*Using MoE-LLaVA*"
... | [
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text-to-image | diffusers |
# Outline Color API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "outline-color"
Coding... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/outline-color | null | [
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] | null | 2024-04-09T08:52:08+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Outline Color API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "outline-color"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: Vi... | [
"# Outline Color API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"outline-color\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate I... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_60 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T08:53:09+00:00 | [
"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# mitre-gpt2-base
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "mitre-gpt2-base", "results": []}]} | bencyc1129/mitre-gpt2-base | null | [
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| mitre-gpt2-base
===============
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3404
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 100",
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment26Experiment26
M7Yamshadowexperiment28_Experiment26Experiment26 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment26Experiment26-7B](https://huggingface.co/automerger/E... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment26Experiment26", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment26Experiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment26Experiment26 | null | [
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"text-generation",
"Safetensors",
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"base_model:automerger/Experiment26Experiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T08:55:18+00:00 | [] | [] | TAGS
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|
# M7Yamshadowexperiment28_Experiment26Experiment26
M7Yamshadowexperiment28_Experiment26Experiment26 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment26Experiment26-7B
## Usage
| [
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null | null |
# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q4_K_M-GGUF
This model was converted to GGUF format from [`TeeZee/NEBULA-XB-v1.0_SFT_2_epoch`](https://huggingface.co/TeeZee/NEBULA-XB-v1.0_SFT_2_epoch) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["athirdpath/Merge_Glue"], "model-index": [{"name": "NEBULA-XB-v1.0_SFT_2_epoch", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config"... | DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:athirdpath/Merge_Glue",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-09T08:55:40+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-athirdpath/Merge_Glue #license-apache-2.0 #model-index #region-us
|
# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q4_K_M-GGUF
This model was converted to GGUF format from 'TeeZee/NEBULA-XB-v1.0_SFT_2_epoch' 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.
C... | [
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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. -->
# bert2bert-extremecleandata-lr-5e-05-encmaxlen-512-decmaxlen-256-abs
- Dev Set: Extreme Clean Data
- Encoder max length (input): ... | {"language": ["id"], "tags": ["generated_from_trainer"], "datasets": ["id_liputan6"], "model-index": [{"name": "bert2bert-extremecleandata-lr-5e-05-batchsize-4-encmaxlen-512-decmaxlen-256-abs", "results": []}]} | Alfahluzi/bert2bert-model1 | null | [
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#transformers #tensorboard #safetensors #encoder-decoder #text2text-generation #generated_from_trainer #id #dataset-id_liputan6 #autotrain_compatible #endpoints_compatible #region-us
| bert2bert-extremecleandata-lr-5e-05-encmaxlen-512-decmaxlen-256-abs
===================================================================
* Dev Set: Extreme Clean Data
* Encoder max length (input): 512
* Decoder max length (output): 256
This model was trained from scratch on the id\_liputan6 dataset.
It achieves the ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 18\n* eval\\_batch\\_size: 18\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\n* mixed\\_pre... | [
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text-generation | transformers |
# YamT3qm7xp_Inex12Strangemerges_30
YamT3qm7xp_Inex12Strangemerges_30 is a merge of the following models:
* [automerger/YamT3qm7xp-7B](https://huggingface.co/automerger/YamT3qm7xp-7B)
* [automerger/Inex12Strangemerges_30-7B](https://huggingface.co/automerger/Inex12Strangemerges_30-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamT3qm7xp_Inex12Strangemerges_30", "base_model": ["automerger/YamT3qm7xp-7B", "automerger/Inex12Strangemerges_30-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/YamT3qm7xp_Inex12Strangemerges_30 | null | [
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"base_model:automerger/Inex12Strangemerges_30-7B",
"license:apache-2.0",
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"region:us"
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|
# YamT3qm7xp_Inex12Strangemerges_30
YamT3qm7xp_Inex12Strangemerges_30 is a merge of the following models:
* automerger/YamT3qm7xp-7B
* automerger/Inex12Strangemerges_30-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# MeliodasPercival_01_ShadowYam
MeliodasPercival_01_ShadowYam is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/ShadowYam-7B](https://huggingface.co/automerger/ShadowYam-7B)
## 💻 Usage
```python
!pip install -qU trans... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_ShadowYam", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/ShadowYam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by":... | MaziyarPanahi/MeliodasPercival_01_ShadowYam | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/ShadowYam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/ShadowYam-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_ShadowYam
MeliodasPercival_01_ShadowYam is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/ShadowYam-7B
## Usage
| [
"# MeliodasPercival_01_ShadowYam\n\nMeliodasPercival_01_ShadowYam is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/ShadowYam-7B",
"## Usage"
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Jinwoo870/opt-6.1b-lora_NO-ID-textdata | null | [
"transformers",
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# T5based-keywords-to-sentence
This model is a fine-tuned version of [mrm8488/t5-base-finetuned-common_gen](https://huggingface.co... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "mrm8488/t5-base-finetuned-common_gen", "model-index": [{"name": "T5based-keywords-to-sentence", "results": []}]} | Ziyi98/T5based-keywords-to-sentence | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:mrm8488/t5-base-finetuned-common_gen",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T09:00:07+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-mrm8488/t5-base-finetuned-common_gen #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| T5based-keywords-to-sentence
============================
This model is a fine-tuned version of mrm8488/t5-base-finetuned-common\_gen on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9899
* Bleu: 10.4024
* Gen Len: 13.6946
Model description
-----------------
More informa... | [
"### 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* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_prec... | [
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