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text-generation | transformers |
# T3qm7Neuralsynthesis-7B
T3qm7Neuralsynthesis-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: nlpguy/T3QM7
- model: Kukedlc/NeuralSynthesis-7B-v0.3
merge_me... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/T3qm7Neuralsynthesis-7B | null | [
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|
# T3qm7Neuralsynthesis-7B
T3qm7Neuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | mixael2009b/Buyer13b | null | [
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# Model Card for Model ID
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"ty... | cansakiroglu/Reinforce-CartPole | null | [
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# 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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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. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | t1msan/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0516
* Accuracy: 0.9706
Model description
------... | [
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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. -->
# Psoriasis-Project-M-clip-vit-large-patch14
This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://hugging... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "openai/clip-vit-large-patch14", "model-index": [{"name": "Psoriasis-Project-M-clip-vit-large-patch14", "results": []}]} | ahmedesmail16/Psoriasis-Project-M-clip-vit-large-patch14 | null | [
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| Psoriasis-Project-M-clip-vit-large-patch14
==========================================
This model is a fine-tuned version of openai/clip-vit-large-patch14 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4710
* Accuracy: 0.8958
Model description
-----------------
More inf... | [
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null | transformers |
# Uploaded model
- **Developed by:** burtugeey
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | burtugeey/mistral_somali_lora_model | null | [
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# Uploaded model
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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": []} | simonamdev/openai-whisper-small-mt-PeftType.LORA | null | [
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null | null |
# Modelo de Árbol de Decisión para Clustering
Este modelo es un árbol de decisión diseñado para clasificar elementos en clusters previamente identificados. Se puede utilizar para categorizar automáticamente nuevos datos basándose en su similitud con los clusters existentes.
## Cómo Empezar
Para usar este modelo, ne... | {"license": "apache-2.0", "title": "Vehi", "emoji": "\ud83c\udfc3", "colorFrom": "green", "colorTo": "purple", "sdk": "gradio", "sdk_version": "4.25.0", "app_file": "Marke.py", "pinned": false} | DavidPardo/Arbol | null | [
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# Modelo de Árbol de Decisión para Clustering
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | EasonShen/task2 | null | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | gtang11/task | null | [
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null | null |
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- **Repository:** [InternVideo2](https://github.com/OpenGVLab/InternVideo/tree/main/InternVideo2)
- **Paper:** [2403.153... | {"license": "apache-2.0", "extra_gated_prompt": "You agree to not use the model to conduct experiments that cause harm to human subjects.", "extra_gated_fields": {"Name": "text", "Company/Organization": "text", "Country": "text", "E-Mail": "text"}} | OpenGVLab/InternVideo2-Stage2_1B-224p-f4 | null | [
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#arxiv-2403.15377 #license-apache-2.0 #region-us
|
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- Repository: InternVideo2
- Paper: 2403.15377
- Point of Contact: mailto:InternVideo Group
If you find this work usefu... | [
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text-generation | transformers |
# OpenCerebrum-2.0-7B
OpenCerebrum-2.0-7B is an open-source language model fine-tuned from the alpindale/Mistral-7B-v0.2-hf base model on a diverse dataset aimed at replicating capabilities of Aether Research's proprietary Cerebrum model.
The model was fine-tuned with SFT and DPO on approximately 7,000 examples acr... | {"language": ["en"], "license": "apache-2.0", "tags": ["open-source", "code", "math", "chemistry", "biology", "text-generation", "question-answering"], "pipeline_tag": "text-generation"} | hflog/Locutusque-OpenCerebrum-2.0-7B | null | [
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|
# OpenCerebrum-2.0-7B
OpenCerebrum-2.0-7B is an open-source language model fine-tuned from the alpindale/Mistral-7B-v0.2-hf base model on a diverse dataset aimed at replicating capabilities of Aether Research's proprietary Cerebrum model.
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Abhinay123/wav2vec2_vedas_epoch_4_step_1399 | 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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- Model type:
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text-generation | transformers | # LayiticDolphinOpus
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Notes
Hopping on the merge bandwagon, god save me from these names. Surprisingly this thing kinda works? It can (kinda) do assistant tasks, (kinda) do (E)RP. I still suck at this though
... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "l3utterfly/mistral-7b-v0.2-layla-v4", "alpindale/Mistral-7B-v0.2-hf", "dreamgen/opus-v1.2-7b"]} | Fizzarolli/LayliticDolphinOpus | null | [
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"base_model:dreamgen/opus-v1.2-7b",
... | null | 2024-04-13T22:10:13+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Notes
Hopping on the merge bandwagon, god save me from these names. Surprisingly this thing kinda works? It can (kinda) do assistant tasks, (kinda) do (E)RP. I still suck at this though
Recommended chat format is ChatML be... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5_recommendation_jobs3
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
I... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "t5_recommendation_jobs3", "results": []}]} | mostafa0841/t5_recommendation_jobs3 | null | [
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| t5\_recommendation\_jobs3
=========================
This model is a fine-tuned version of t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7154
* Rouge1: 53.3020
* Rouge2: 31.8649
* Rougel: 52.6180
* Rougelsum: 52.6507
* Gen Len: 4.2934
Model description
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model s... | {"license": "other", "datasets": ["jondurbin/airoboros-3.2", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "jondurbin/gutenberg-dpo-v0.1", "LDJnr/Capybara", "jondurbin/cinematika-v0.1", "glaiveai/glaive-function-calling-v2", "grimulkan/LimaRP-augmented", "piqa", "Vezora/Tested-22k-Python-Alpaca", "mattpscott/airoboros-sum... | blockblockblock/airoboros-34b-3.3-bpw2.5 | null | [
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"dataset:glaiveai/glaive-function-callin... | null | 2024-04-13T22:11:44+00:00 | [] | [] | TAGS
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### Overview
Another experimental model, using mostly sythetic data generated by airoboros
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model supports 200k context size, this model was ... | [
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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. -->
# output
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
#... | {"license": "mit", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "output", "results": []}]} | azib/output | null | [
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|
# output
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following ... | [
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text-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 - Chengbin124/atr_finetuned_model
<Gallery />
## Model description
These are Chengbin124/atr_fin... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of sks dog", "widget": []} | Chengbin124/atr_finetuned_model | null | [
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|
# SDXL LoRA DreamBooth - Chengbin124/atr_finetuned_model
<Gallery />
## Model description
These are Chengbin124/atr_finetuned_model LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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. -->
# bart-finetuned-kwsylgen-64-Rerun
This model is a fine-tuned version of [adamjweintraut/bart-finetuned-lyrlen-64-lines](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "adamjweintraut/bart-finetuned-lyrlen-64-lines", "model-index": [{"name": "bart-finetuned-kwsylgen-64-Rerun", "results": []}]} | adamjweintraut/bart-finetuned-kwsylgen-64-Rerun | null | [
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| bart-finetuned-kwsylgen-64-Rerun
================================
This model is a fine-tuned version of adamjweintraut/bart-finetuned-lyrlen-64-lines on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4231
Model description
-----------------
More information needed
Inten... | [
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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
This model is a fine-tuned version of [yy1206836445/bert-finetuned-ner](https://huggingface.co/yy1206836445/b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "yy1206836445/bert-finetuned-ner", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | yy1206836445/bert-finetuned-ner | null | [
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"region:us"
] | null | 2024-04-13T22:27:18+00:00 | [] | [] | TAGS
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| bert-finetuned-ner
==================
This model is a fine-tuned version of yy1206836445/bert-finetuned-ner on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1421
* Precision: 0.5265
* Recall: 0.5639
* F1: 0.5445
* Accuracy: 0.9539
Model description
-----------------
More i... | [
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null | transformers |
# Uploaded model
- **Developed by:** czaplon
- **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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | czaplon/s-detector2 | null | [
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|
# Uploaded model
- Developed by: czaplon
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": "google/long-t5-tglobal-base"} | dsolomon/long-t5-global-pubmed-LoRA-r4-i1024-o128 | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-google/long-t5-tglobal-base #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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... | BasselKhaled/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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] |
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="ahGadji/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"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": ... | ahGadji/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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"reinforcement-learning",
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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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] |
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": []} | ganjubas2008/rubert-tiny2-push-demo | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T22:45:05+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:
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- License... | [
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text2text-generation | 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. -->
# Eugenememe/t5-small-finetuned-xsum2
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "t5-small", "model-index": [{"name": "Eugenememe/t5-small-finetuned-xsum2", "results": []}]} | Eugenememe/t5-small-finetuned-xsum2 | null | [
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] | null | 2024-04-13T22:49:10+00:00 | [] | [] | TAGS
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| Eugenememe/t5-small-finetuned-xsum2
===================================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.4870
* Validation Loss: 1.3035
* Train Rouge1: 24.6593
* Train Rouge2: 9.1693
* Train Rougel: 21.2111... | [
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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="ahGadji/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
e... | {"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": "7.50 +/- ... | ahGadji/Taxi-v3 | null | [
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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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] |
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. -->
# MLMA_GPT_Lab8
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "MLMA_GPT_Lab8", "results": []}]} | rupav02gmail/MLMA_GPT_Lab8 | null | [
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"gpt2",
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"endpoints_compatible",
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"region:us"
] | null | 2024-04-13T22:52:09+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| MLMA\_GPT\_Lab8
===============
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1546
* Precision: 0.4386
* Recall: 0.5311
* F1: 0.4805
* Accuracy: 0.9571
Model description
-----------------
More information needed
Intended ... | [
"### 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",
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text-to-image | null | ## Model
| {"tags": ["stable-diffusion", "text-to-image", "StableDiffusionPipeline", "lora"]} | fearvel/lloyd-de-saloum-v1 | null | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-finetuned-squad
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-base-finetuned-squad", "results": []}]} | noushsuon/bert-base-finetuned-squad | null | [
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"question-answering",
"generated_from_trainer",
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-13T22:58:50+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #endpoints_compatible #region-us
|
# bert-base-finetuned-squad
This model is a fine-tuned version of bert-base-cased 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 hyperparamet... | [
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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. -->
# Psoriasis-Project-Aug-M2-clip-vit-large-patch14
This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://hu... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "openai/clip-vit-large-patch14", "model-index": [{"name": "Psoriasis-Project-Aug-M2-clip-vit-large-patch14", "results": []}]} | ahmedesmail16/Psoriasis-Project-Aug-M2-clip-vit-large-patch14 | null | [
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| Psoriasis-Project-Aug-M2-clip-vit-large-patch14
===============================================
This model is a fine-tuned version of openai/clip-vit-large-patch14 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4791
* Accuracy: 0.9167
Model description
-----------------
... | [
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text2text-generation | 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. -->
# Eugenememe/t5-small-vietnamese-news-finetuned-xsum2
This model is a fine-tuned version of [minhtoan/t5-small-vietnamese-news](https://... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "minhtoan/t5-small-vietnamese-news", "model-index": [{"name": "Eugenememe/t5-small-vietnamese-news-finetuned-xsum2", "results": []}]} | Eugenememe/t5-small-vietnamese-news-finetuned-xsum2 | null | [
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| Eugenememe/t5-small-vietnamese-news-finetuned-xsum2
===================================================
This model is a fine-tuned version of minhtoan/t5-small-vietnamese-news on an unknown dataset.
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* Validation Loss: 1.1603
* Train Rouge... | [
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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": []} | Yasusan/Llama2_0414 | null | [
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text-generation | transformers |
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feature-extraction | transformers | <h1 align="center">UForm</h1>
<h3 align="center">
Pocket-Sized Multimodal AI<br/>
For Content Understanding and Generation<br/>
In Python, JavaScript, and Swift<br/>
</h3>
---
The `uform3-image-text-english-small` UForm model is a tiny vision and English language encoder, mapping them into a shared vector space.
This... | {"license": "apache-2.0", "tags": ["clip", "vision"], "datasets": ["Ziyang/yfcc15m", "conceptual_captions"], "pipeline_tag": "feature-extraction"} | unum-cloud/uform3-image-text-english-small | null | [
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| UForm
=====
###
Pocket-Sized Multimodal AI
For Content Understanding and Generation
In Python, JavaScript, and Swift
---
The 'uform3-image-text-english-small' UForm model is a tiny vision and English language encoder, mapping them into a shared vector space.
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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": []} | abhayesian/BobzillaV17 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Yasusan/Llama2_04142 | null | [
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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. -->
# 0.0_dataup_noreplacerej_80g_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_dataup_noreplacerej_80g_iter_1", "results": []}]} | ZhangShenao/0.0_dataup_noreplacerej_80g_iter_1 | null | [
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|
# 0.0_dataup_noreplacerej_80g_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informatio... | [
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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. -->
# 0.0_idpo_same_3iters_debug_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_idpo_same_3iters_debug_iter_1", "results": []}]} | ShenaoZ/0.0_idpo_same_3iters_debug_iter_1 | null | [
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|
# 0.0_idpo_same_3iters_debug_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-refined
<Gallery />
## Model description
These are rfhuang/maui-refined LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of a dog named Maui in random situations, taken from a smartphone camer... | rfhuang/maui-refined | null | [
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"license:openrail++",
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#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-refined
<Gallery />
## Model description
These are rfhuang/maui-refined LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: ... | [
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text-generation | transformers |
# Model Card for MediaTek Research Breeze-7B-32k-Instruct-v1_0
MediaTek Research Breeze-7B (hereinafter referred to as Breeze-7B) is a language model family that builds on top of [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-v0.1), specifically intended for Traditional Chinese use.
[Breeze-7B-Base](https:... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | MediaTek-Research/Breeze-7B-32k-Instruct-v1_0 | null | [
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| Model Card for MediaTek Research Breeze-7B-32k-Instruct-v1\_0
=============================================================
MediaTek Research Breeze-7B (hereinafter referred to as Breeze-7B) is a language model family that builds on top of Mistral-7B, specifically intended for Traditional Chinese use.
Breeze-7B-Bas... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | FrentrNette/frentrtosSummarizer | 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 | # 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:
* [mlabonne/AlphaMonarch-7B](https://huggingfa... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mlabonne/AlphaMonarch-7B", "Kukedlc/NeuralMaths-Experiment-7b"]} | Kukedlc/NeuralMathsRolePlay-7b | 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:
* mlabonne/AlphaMonarch-7B
* Kukedlc/NeuralMaths-Experiment-7b
### Configuration
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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. -->
# MLMA_GPT_Lab8_custom_trained
This model was trained from scratch on the None dataset.
It achieves the following results on the e... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "MLMA_GPT_Lab8_custom_trained", "results": []}]} | rupav02gmail/MLMA_GPT_Lab8_custom_trained | null | [
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| MLMA\_GPT\_Lab8\_custom\_trained
================================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1406
* Precision: 0.5275
* Recall: 0.5723
* F1: 0.5490
* Accuracy: 0.9563
Model description
-----------------
More informa... | [
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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. -->
# LoRA text2image fine-tuning - arcosin/new_model
These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The w... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "CompVis/s... | arcosin/new_model | null | [
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|
# LoRA text2image fine-tuning - arcosin/new_model
These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the None dataset. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide e... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | acuvity/text-subject_classification-deberta-v3-base-single-label-textbooks-mg | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | Rutts07/gpt-neo-ai-human-gen | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | ## MiniDiffusion2
Welcome to MiniDiffusion2, an enhanced implementation of the Stable Diffusion v1.5 model integrated with Lora's optimization techniques for improved text-to-image generation. This model leverages the power of runwayml/stable-diffusion-v1-5 and is fine-tuned to offer unique artistic capabilities and pe... | {} | GamerC0der/MiniDiffusion2 | null | [
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#region-us
| ## MiniDiffusion2
Welcome to MiniDiffusion2, an enhanced implementation of the Stable Diffusion v1.5 model integrated with Lora's optimization techniques for improved text-to-image generation. This model leverages the power of runwayml/stable-diffusion-v1-5 and is fine-tuned to offer unique artistic capabilities and pe... | [
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mask-generation | transformers |
# InsectSAM: Insect Segmentation and Monitoring
<p align="left">
<a href="" rel="noopener">
<img width=200px height=200px src="https://i.imgur.com/hjWgAN9.png alt="Project logo"></a>
</p>
## Overview
InsectSAM is an advanced machine learning model tailored for the https://diopsis.eu camera systems and https://ww... | {"license": "apache-2.0"} | martintmv/InsectSAM | null | [
"transformers",
"pytorch",
"sam",
"mask-generation",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T23:56:24+00:00 | [] | [] | TAGS
#transformers #pytorch #sam #mask-generation #license-apache-2.0 #endpoints_compatible #region-us
|
# InsectSAM: Insect Segmentation and Monitoring
<p align="left">
<a href="" rel="noopener">
<img width=200px height=200px src="https://i.URL alt="Project logo"></a>
</p>
## Overview
InsectSAM is an advanced machine learning model tailored for the URL camera systems and URL dedicated to Insect Biodiversity Detect... | [
"# InsectSAM: Insect Segmentation and Monitoring\n\n<p align=\"left\">\n <a href=\"\" rel=\"noopener\">\n <img width=200px height=200px src=\"https://i.URL alt=\"Project logo\"></a>\n</p>",
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text-generation | transformers |
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model s... | {"license": "other", "datasets": ["jondurbin/airoboros-3.2", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "jondurbin/gutenberg-dpo-v0.1", "LDJnr/Capybara", "jondurbin/cinematika-v0.1", "glaiveai/glaive-function-calling-v2", "grimulkan/LimaRP-augmented", "piqa", "Vezora/Tested-22k-Python-Alpaca", "mattpscott/airoboros-sum... | blockblockblock/airoboros-34b-3.3-bpw3.5 | null | [
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### Overview
Another experimental model, using mostly sythetic data generated by airoboros
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
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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": []} | armaniii/llama-stance-classification | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
# 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": ["lora"], "pipeline_tag": "text-classification", "base_model": "mistralai/Mistral-7B-v0.1"} | armaniii/mistral-argument-classification | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
<!-- 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. -->
# segformer-b2-finetuned
This model is a fine-tuned version of [nvidia/mit-b2](https://huggingface.co/nvidia/mit-b2) on an unknown... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "nvidia/mit-b2", "model-index": [{"name": "segformer-b2-finetuned", "results": []}]} | MF21377197/segformer-b2-finetuned | null | [
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| segformer-b2-finetuned
======================
This model is a fine-tuned version of nvidia/mit-b2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5204
* Mean Iou: 0.1825
* Mean Accuracy: 0.2798
* Overall Accuracy: 0.6420
* Per Category Iou: [0.9142691288036651, nan, nan, 0.... | [
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speecht5_finetuned_kazakh_tts2
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/s... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_finetuned_kazakh_tts2", "results": []}]} | zizzimars/speecht5_finetuned_kazakh_tts2 | null | [
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| speecht5\_finetuned\_kazakh\_tts2
=================================
This model is a fine-tuned version of microsoft/speecht5\_tts on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5067
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-generation | transformers | # Directly quantized 4bit model with bitsandbytes
Original source: https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
<img src="https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/resolve/main/logo.png" alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "inference": {"parameters": {"temperature": 0.7}}, "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}]} | SinclairSchneider/zephyr-orpo-141b-A35b-v0.1-bnb-4bit | null | [
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===============================================
Original source: URL
<img src="URL alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
Model Card for Zephyr 141B-A35B
===============================
Zephyr is a serie... | [
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text-generation | transformers | # Locutusque/OpenCerebrum-2.0-7B AWQ
- Model creator: [Locutusque](https://huggingface.co/Locutusque)
- Original model: [OpenCerebrum-2.0-7B](https://huggingface.co/Locutusque/OpenCerebrum-2.0-7B)
## Model Summary
OpenCerebrum-2.0-7B is an open-source language model fine-tuned from the alpindale/Mistral-7B-v0.2-hf b... | {"language": ["en"], "license": "apache-2.0", "tags": ["open-source", "code", "math", "chemistry", "biology", "text-generation", "question-answering", "quantized", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "model_name": "OpenCerebrum-2.0-7B", "model_creator": "Locutus... | solidrust/OpenCerebrum-2.0-7B-AWQ | null | [
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"licen... | null | 2024-04-14T00:11:11+00:00 | [] | [
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| # Locutusque/OpenCerebrum-2.0-7B AWQ
- Model creator: Locutusque
- Original model: OpenCerebrum-2.0-7B
## Model Summary
OpenCerebrum-2.0-7B is an open-source language model fine-tuned from the alpindale/Mistral-7B-v0.2-hf base model on a diverse dataset aimed at replicating capabilities of Aether Research's propriet... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Kukedlc/NeuralMathsRolePlay-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Kukedlc/NeuralMathsRolePlay-7b", "quantized_by": "mradermacher"} | mradermacher/NeuralMathsRolePlay-7b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ibivibiv/athene-noctua-13b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["logic", "reasoning"], "base_model": "ibivibiv/athene-noctua-13b", "quantized_by": "mradermacher"} | mradermacher/athene-noctua-13b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# stablelm-2-1_6b_slerpmerge
JPMixModel-test5 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [stabilityai/stablelm-2-zephyr-1_6b](https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b)
* [stabilityai/stablelm-2-1_6b... | {"tags": ["merge", "mergekit", "lazymergekit", "stabilityai/stablelm-2-zephyr-1_6b", "stabilityai/stablelm-2-1_6b"], "base_model": ["stabilityai/stablelm-2-zephyr-1_6b", "stabilityai/stablelm-2-1_6b"]} | aipib/stablelm-2-1_6b_slerpmerge | null | [
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"base_model:stabilityai/stablelm-2-1_6b",
"autotrain_comp... | null | 2024-04-14T00:17:14+00:00 | [] | [] | TAGS
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|
# stablelm-2-1_6b_slerpmerge
JPMixModel-test5 is a merge of the following models using LazyMergekit:
* stabilityai/stablelm-2-zephyr-1_6b
* stabilityai/stablelm-2-1_6b
## Configuration
## Usage
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AnkushJindal28/bio-gpt-3.2 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Gemma-10000
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown datase... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "Gemma-10000", "results": []}]} | mooo16/Gemma-10000 | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| Gemma-10000
===========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1443
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
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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": []} | bdsaglam/llama-2-7b-chat-jerx-peft-dm6sia3t | null | [
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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-1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"... | nvasko/Reinforce-cartpole-1 | null | [
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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. -->
# MLMA_GPT_Lab_8
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the followin... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "MLMA_GPT_Lab_8", "results": []}]} | rupav02gmail/MLMA_GPT_Lab_8 | null | [
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#transformers #tensorboard #safetensors #gpt2 #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| MLMA\_GPT\_Lab\_8
=================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1568
* Precision: 0.4432
* Recall: 0.5553
* F1: 0.4929
* Accuracy: 0.9566
Model description
-----------------
More information needed
Inten... | [
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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": []} | clam004/microsoft-phi-1_5-post-emotion-cntnllrng-v1 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_same_scratch_iter_2
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_idpo_same_scratch_iter_2", "results": []}]} | ShenaoZ/0.001_idpo_same_scratch_iter_2 | null | [
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|
# 0.001_idpo_same_scratch_iter_2
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | null | This here be that there face parser model for MuseTalk. Uploaded here to scan for them pickle imports and whatnot. | {"license": "wtfpl"} | ManyOtherFunctions/face-parse-bisent | 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": []} | heyllm234/sc8 | null | [
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# Model Card for Model ID
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null | peft |
# Model Card for Model ID
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text-generation | transformers | ## Model Details
**Model Developers** deepmodal
**Model Architecture**
**Base Model** [yanolja/EEVE-Korean-10.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-10.8B-v1.0)
**Training Dataset**
* **sft dataset** : [davidkim205/kollm-converations](https://huggingface.co/datasets/davidkim205/kollm-converation... | {"license": "apache-2.0", "library_name": "transformers"} | deepmodal/deepmodal-EEVE-Korean-10.8B-v1.0 | null | [
"transformers",
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"llama",
"text-generation",
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"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T00:31:25+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## Model Details
Model Developers deepmodal
Model Architecture
Base Model yanolja/EEVE-Korean-10.8B-v1.0
Training Dataset
* sft dataset : davidkim205/kollm-converations | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Vezora/Mistral-22B-v0.2
**No imatrix quants will be coming from me, as the model overflowed after 180k tokens and llama.cpp crashed generating... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "Vezora/Mistral-22B-v0.2", "no_imatrix": "GGML_ASSERT: llama.cpp/ggml-quants.c:11239: grid_index >= 0", "quantized_by": "mradermacher"} | mradermacher/Mistral-22B-v0.2-GGUF | null | [
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] | TAGS
#transformers #gguf #en #base_model-Vezora/Mistral-22B-v0.2 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
No imatrix quants will be coming from me, as the model overflowed after 180k tokens and URL crashed generating most quants with smaller training data.
weighted/imatrix quants by bartowksi (with smaller training data) can be found at URL
Usage
-----
If you are unsure how to use... | [] | [
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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": []} | Erfan-Shayegani/llama2-lora_Unlearned | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/arvindanand/ValidateAI-3-33B-Ties
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do no... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "WizardLM/WizardCoder-33B-V1.1", "codefuse-ai/CodeFuse-DeepSeek-33B", "deepseek-ai/deepseek-coder-33b-instruct"], "base_model": "arvindanand/ValidateAI-3-33B-Ties", "quantized_by": "mradermacher"} | mradermacher/ValidateAI-3-33B-Ties-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | acuvity/text-subject_classification-distilbert-base-uncased-single_label-mgd_textbooks-zg | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T00:40:31+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# minisss
This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H3... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["f1"], "base_model": "microsoft/MiniLM-L12-H384-uncased", "model-index": [{"name": "minisss", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "type": "emotion",... | potradovec/minisss | null | [
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"license:mit",
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| minisss
=======
This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1791
* F1: 0.9361
Model description
-----------------
More information needed
Intended uses & limitations
-------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 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: 5\n* mixed\\_prec... | [
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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. -->
# V0413TUNE
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": "V0413TUNE", "results": []}]} | Litzy619/V0413TUNE | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-14T00:42:46+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0413TUNE
=========
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: 0.0419
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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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. -->
# LoRA text2image fine-tuning - iamkaikai/CLASSICAL-LORA
These are LoRA adaption weights for runwayml/stable-diffusion-v1-... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "runwayml/... | iamkaikai/CLASSICAL-LORA | null | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"diffusers-training",
"lora",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-14T00:43:58+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us
|
# LoRA text2image fine-tuning - iamkaikai/CLASSICAL-LORA
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the iamkaikai/CLASSICAL-ART dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
!img_4
!img_5
!img_6
!img_7
!img_8
!img_9
... | [
"# LoRA text2image fine-tuning - iamkaikai/CLASSICAL-LORA\nThese are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the iamkaikai/CLASSICAL-ART dataset. You can find some example images in the following. \n\n!img_0\n!img_1\n!img_2\n!img_3\n!img_4\n!img_5\n!img_6\n!img_7\n!i... | [
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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. -->
# LoRA text2image fine-tuning - iamkaikai/PEOPLE-ILLUSTRATION-LORA
These are LoRA adaption weights for runwayml/stable-dif... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stab... | iamkaikai/PEOPLE-ILLUSTRATION-LORA | null | [
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"stable-diffusion-diffusers",
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"diffusers-training",
"lora",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-14T00:45:37+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us
|
# LoRA text2image fine-tuning - iamkaikai/PEOPLE-ILLUSTRATION-LORA
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the iamkaikai/PEOPLE-ILLUSTRATION-ART dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
!img_4
!img_5
!img_6
!... | [
"# LoRA text2image fine-tuning - iamkaikai/PEOPLE-ILLUSTRATION-LORA\nThese are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the iamkaikai/PEOPLE-ILLUSTRATION-ART dataset. You can find some example images in the following. \n\n!img_0\n!img_1\n!img_2\n!img_3\n!img_4\n!img_5... | [
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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. -->
# LoRA text2image fine-tuning - iamkaikai/FLUENTUI-LORA
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stab... | iamkaikai/FLUENTUI-LORA | null | [
"diffusers",
"tensorboard",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"diffusers-training",
"lora",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-14T00:46:27+00:00 | [] | [] | TAGS
#diffusers #tensorboard #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us
|
# LoRA text2image fine-tuning - iamkaikai/FLUENTUI-LORA
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the iamkaikai/FLUENTUI-ART dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
!img_4
!img_5
!img_6
!img_7
!img_8
!img_9
!i... | [
"# LoRA text2image fine-tuning - iamkaikai/FLUENTUI-LORA\nThese are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the iamkaikai/FLUENTUI-ART dataset. You can find some example images in the following. \n\n!img_0\n!img_1\n!img_2\n!img_3\n!img_4\n!img_5\n!img_6\n!img_7\n!img... | [
"TAGS\n#diffusers #tensorboard #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us \n",
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text-generation | transformers |
# Reyna-Mini-1.8B-v0.2_slerpmerge
JPMixModel-test is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [aloobun/Reyna-Mini-1.8B-v0.2](https://huggingface.co/aloobun/Reyna-Mini-1.8B-v0.2)
* [M4-ai/NeuralReyna-Mini-1.8B-v0.3](h... | {"tags": ["merge", "mergekit", "lazymergekit", "aloobun/Reyna-Mini-1.8B-v0.2", "M4-ai/NeuralReyna-Mini-1.8B-v0.3"], "base_model": ["aloobun/Reyna-Mini-1.8B-v0.2", "M4-ai/NeuralReyna-Mini-1.8B-v0.3"]} | aipib/Reyna-Mini-1.8B-v0.2_slerpmerge | null | [
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"base_model:M4-ai/NeuralReyna-Mini-1.8B-v0.3",
"autotrain_compatibl... | null | 2024-04-14T00:47:19+00:00 | [] | [] | TAGS
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# Reyna-Mini-1.8B-v0.2_slerpmerge
JPMixModel-test is a merge of the following models using LazyMergekit:
* aloobun/Reyna-Mini-1.8B-v0.2
* M4-ai/NeuralReyna-Mini-1.8B-v0.3
## Configuration
## Usage
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text-generation | transformers |
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model s... | {"license": "other", "datasets": ["jondurbin/airoboros-3.2", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "jondurbin/gutenberg-dpo-v0.1", "LDJnr/Capybara", "jondurbin/cinematika-v0.1", "glaiveai/glaive-function-calling-v2", "grimulkan/LimaRP-augmented", "piqa", "Vezora/Tested-22k-Python-Alpaca", "mattpscott/airoboros-sum... | blockblockblock/airoboros-34b-3.3-bpw3.7 | null | [
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"dataset:LDJnr/Capybara",
"dataset:jondurbin/cinematika-v0.1",
"dataset:glaiveai/glaive-function-callin... | null | 2024-04-14T00:49:03+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #dataset-jondurbin/airoboros-3.2 #dataset-bluemoon-fandom-1-1-rp-cleaned #dataset-boolq #dataset-jondurbin/gutenberg-dpo-v0.1 #dataset-LDJnr/Capybara #dataset-jondurbin/cinematika-v0.1 #dataset-glaiveai/glaive-function-calling-v2 #dataset-grimulkan/LimaRP-augmente... |
### Overview
Another experimental model, using mostly sythetic data generated by airoboros
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model supports 200k context size, this model was ... | [
"### Overview\n\nAnother experimental model, using mostly sythetic data generated by airoboros\n\nThis fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.",
"#### Highlights\n\nThis is using yi-34b-200k as the base model. While the base model supports 200k context size, t... | [
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text-generation | transformers |
# Shadowm7expMergerix-7B
Shadowm7expMergerix-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: mahiatlinux/ShadowM7EXP-7B
- model: MiniMoog/Mergerix-7b-v0.3
me... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Shadowm7expMergerix-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T00:53:21+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Shadowm7expMergerix-7B
Shadowm7expMergerix-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
| [
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text-generation | transformers |
# arcee-ai/MedLLaMA-Vicuna-13B-Slerp
arcee-ai/MedLLaMA-Vicuna-13B-Slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [chaoyi-wu/MedLLaMA_13B](https://huggingface.co/chaoyi-wu/MedLLaMA_13B)
* [lmsys/vicuna-13b-v1.3](https://huggingface.co/lmsys/vicuna-13b-v1.3)
## 🧩 Confi... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "chaoyi-wu/MedLLaMA_13B", "lmsys/vicuna-13b-v1.3"]} | arcee-ai/MedLLaMA-Vicuna-13B-Slerp | null | [
"transformers",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T00:53:25+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #chaoyi-wu/MedLLaMA_13B #lmsys/vicuna-13b-v1.3 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# arcee-ai/MedLLaMA-Vicuna-13B-Slerp
arcee-ai/MedLLaMA-Vicuna-13B-Slerp is a merge of the following models using mergekit:
* chaoyi-wu/MedLLaMA_13B
* lmsys/vicuna-13b-v1.3
## Configuration
| [
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"## Configuration"
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/Mistral-7B-Instruct-v0.2-GGUF-smashed | null | [
"gguf",
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"region:us"
] | null | 2024-04-14T00:58:16+00:00 | [] | [] | TAGS
#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
Simply make AI models cheaper, smaller, faster, and greener!
============================================================
* Give a thumbs up if you like this model!
* Contact us and tell us which model to compress n... | [
"### How to load this model in Python code, using llama-cpp-python\n\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example code\n* Option D - Running with LangChain... | [
"TAGS\n#gguf #pruna-ai #region-us \n",
"### How to load this model in Python code, using llama-cpp-python\n\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example ... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** theprint
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "datasets": ["PocketDoc/Alpaca_Evol_Instruct_Cleaned"], "base_model": "unsloth/tinyllama-bnb-4bit", "pipeline_tag": "text-generation"} | theprint/tinyllama-Evol-Instruct | null | [
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"gguf",
"llama",
"text-generation-inference",
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"trl",
"text-generation",
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"dataset:PocketDoc/Alpaca_Evol_Instruct_Cleaned",
"base_model:unsloth/tinyllama-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T00:58:42+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #gguf #llama #text-generation-inference #unsloth #trl #text-generation #en #dataset-PocketDoc/Alpaca_Evol_Instruct_Cleaned #base_model-unsloth/tinyllama-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: theprint
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/> | [
"# Uploaded model\n\n- Developed by: theprint\n- License: apache-2.0\n- Finetuned from model : unsloth/tinyllama-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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feature-extraction | transformers | # UAE Large V1 (ONNX Version)
## Model Description
Universal AnglE Embedding
Follow us on:
1. GitHub: https://github.com/SeanLee97/AnglE.
2. Arxiv: https://arxiv.org/abs/2309.12871
Original model: WhereIsAI/UAE-Large-V1
🔥 Our universal English sentence embedding WhereIsAI/UAE-Large-V1 achieves SOTA on the MTEB Leade... | {} | datahunters/uae-large-v1-onnx | null | [
"transformers",
"onnx",
"bert",
"feature-extraction",
"arxiv:2309.12871",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T01:00:27+00:00 | [
"2309.12871"
] | [] | TAGS
#transformers #onnx #bert #feature-extraction #arxiv-2309.12871 #endpoints_compatible #region-us
| # UAE Large V1 (ONNX Version)
## Model Description
Universal AnglE Embedding
Follow us on:
1. GitHub: URL
2. Arxiv: URL
Original model: WhereIsAI/UAE-Large-V1
Our universal English sentence embedding WhereIsAI/UAE-Large-V1 achieves SOTA on the MTEB Leaderboard with an average score of 64.64!
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text-generation | transformers |
# h2o-danube2-1.8b-slerpmerge
JPMixModel-test2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [h2oai/h2o-danube2-1.8b-sft](https://huggingface.co/h2oai/h2o-danube2-1.8b-sft)
* [h2oai/h2o-danube2-1.8b-chat](https://huggi... | {"tags": ["merge", "mergekit", "lazymergekit", "h2oai/h2o-danube2-1.8b-sft", "h2oai/h2o-danube2-1.8b-chat"], "base_model": ["h2oai/h2o-danube2-1.8b-sft", "h2oai/h2o-danube2-1.8b-chat"]} | aipib/h2o-danube2-1.8b-slerpmerge | null | [
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"text-generation",
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"h2oai/h2o-danube2-1.8b-sft",
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"base_model:h2oai/h2o-danube2-1.8b-chat",
"autotrain_compatible",
"endpo... | null | 2024-04-14T01:00:57+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #h2oai/h2o-danube2-1.8b-sft #h2oai/h2o-danube2-1.8b-chat #conversational #base_model-h2oai/h2o-danube2-1.8b-sft #base_model-h2oai/h2o-danube2-1.8b-chat #autotrain_compatible #endpoints_compatible #text-generation-inference #region-... |
# h2o-danube2-1.8b-slerpmerge
JPMixModel-test2 is a merge of the following models using LazyMergekit:
* h2oai/h2o-danube2-1.8b-sft
* h2oai/h2o-danube2-1.8b-chat
## Configuration
## Usage
| [
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text-generation | transformers | # Wukong-0.1-Mistral-7B-v0.2
Join Our Discord! https://discord.gg/cognitivecomputations
Wukong-0.1-Mistral-7B-v0.2 is a dealigned chat finetune of the original fantastic Mistral-7B-v0.2 model by ... | {"license": "apache-2.0", "datasets": ["teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "m-a-p/Code-Feedback"], "pipeline_tag": "text-generation"} | hflog/RESMPDEV-Wukong-0.1-Mistral-7B-v0.2 | null | [
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"license:apache-2.0",
"autotrain_compatible",
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"regi... | null | 2024-04-14T01:07:04+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #mistral #text-generation #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-m-a-p/Code-Feedback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Wukong-0.1-Mistral-7B-v0.2
Join Our Discord! URL
!image/jpeg
Wukong-0.1-Mistral-7B-v0.2 is a dealigned chat finetune of the original fantastic Mistral-7B-v0.2 model by the Mistral team.
This model was trained on the teknium OpenHeremes-2.5 dataset, code datasets from Multimodal Art Projection URL, and the Dolphi... | [
"# Wukong-0.1-Mistral-7B-v0.2\n\nJoin Our Discord! URL \n\n!image/jpeg\n\nWukong-0.1-Mistral-7B-v0.2 is a dealigned chat finetune of the original fantastic Mistral-7B-v0.2 model by the Mistral team.\n\nThis model was trained on the teknium OpenHeremes-2.5 dataset, code datasets from Multimodal Art Projection URL, a... | [
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null | transformers |
# Uploaded model
- **Developed by:** openvoid
- **License:** apache-2.0
- **Finetuned from model :** openvoid/prox-7b-dpo
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "openvoid/prox-7b-dpo"} | openvoid/prox-7b-dpo-gguf | null | [
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"license:apache-2.0",
"endpoints_compatible",
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#transformers #gguf #mistral #text-generation-inference #unsloth #en #base_model-openvoid/prox-7b-dpo #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: openvoid
- License: apache-2.0
- Finetuned from model : openvoid/prox-7b-dpo
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PLE-v... | HanliChu/Pixelcopter-PLE-v0 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | null | ## MODEL INFORMATION
Trained on **50 minutes** of *very high quality*, losless acapella extracted directly from the majority of his discography; original studio sessions were used for Astroworld and
days before rode. The model is capable of handling rapping & singing, granted that you somewhat match his original tone a... | {"language": ["en"], "license": "cc-by-4.0"} | nsmells/Travis-Scott-HQ | null | [
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#en #license-cc-by-4.0 #region-us
| ## MODEL INFORMATION
Trained on 50 minutes of *very high quality*, losless acapella extracted directly from the majority of his discography; original studio sessions were used for Astroworld and
days before rode. The model is capable of handling rapping & singing, granted that you somewhat match his original tone and a... | [
"## MODEL INFORMATION\nTrained on 50 minutes of *very high quality*, losless acapella extracted directly from the majority of his discography; original studio sessions were used for Astroworld and\ndays before rode. The model is capable of handling rapping & singing, granted that you somewhat match his original ton... | [
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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. -->
# 04-14-01-14-20
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "04-14-01-14-20", "results": []}]} | reeddg/04-14-01-14-20 | null | [
"tensorboard",
"generated_from_trainer",
"base_model:facebook/bart-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T01:14:47+00:00 | [] | [] | TAGS
#tensorboard #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #region-us
| 04-14-01-14-20
==============
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6118
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 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",
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | Mit1208/kosmos-2-doclaynet-trl | null | [
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"safetensors",
"kosmos-2",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T01:16:37+00:00 | [
"1910.09700"
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#transformers #safetensors #kosmos-2 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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image-classification | null |
## Model Architecture Details
### Architecture Overview
- **Architecture**: ViT Small
### Configuration
| Attribute | Value |
|----------------------|----------------|
| Patch Size | 32 |
| Image Size | 224 |
| Num Layers | 3 |
|... | {"datasets": ["imagenet-1k"], "pipeline_tag": "image-classification"} | Prisma-Multimodal/ImageNet-Small-Attention-and-MLP-Patch32 | null | [
"image-classification",
"dataset:imagenet-1k",
"region:us"
] | null | 2024-04-14T01:17:13+00:00 | [] | [] | TAGS
#image-classification #dataset-imagenet-1k #region-us
| Model Architecture Details
--------------------------
### Architecture Overview
* Architecture: ViT Small
### Configuration
### Performance
* Validation Accuracy (Top 5): 0.4179
* Validation Accuracy: 0.2148
### Additional Resources
The model was trained using the library: ViT-Prisma.
For detailed met... | [
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null | null |
<img src="https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/resolve/main/logo.png" alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# machinez/zephyr-orpo-141b-A35b-v0.1-exl2
This model was converted to EXL2 format from [`HuggingFaceH4/zephyr-orpo-141b-... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer", "exl2"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}]} | machinez/zephyr-orpo-141b-A35b-v0.1-exl2 | null | [
"trl",
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"generated_from_trainer",
"exl2",
"dataset:argilla/distilabel-capybara-dpo-7k-binarized",
"base_model:mistral-community/Mixtral-8x22B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T01:23:56+00:00 | [] | [] | TAGS
#trl #orpo #generated_from_trainer #exl2 #dataset-argilla/distilabel-capybara-dpo-7k-binarized #base_model-mistral-community/Mixtral-8x22B-v0.1 #license-apache-2.0 #region-us
|
<img src="URL alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# machinez/zephyr-orpo-141b-A35b-v0.1-exl2
This model was converted to EXL2 format from 'HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1'.
Refer to the original model card for more details on the model.
Each br... | [
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null | null |
# DavidAU/DarkForest-20B-v2.0-Q8_0-GGUF
This model was converted to GGUF format from [`TeeZee/DarkForest-20B-v2.0`](https://huggingface.co/TeeZee/DarkForest-20B-v2.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://... | {"license": "other", "tags": ["merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "license_name": "microsoft-research-license", "model-index": [{"name": "DarkForest-20B-v2.0", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)"... | DavidAU/DarkForest-20B-v2.0-Q8_0-GGUF | null | [
"gguf",
"merge",
"not-for-all-audiences",
"llama-cpp",
"gguf-my-repo",
"license:other",
"model-index",
"region:us"
] | null | 2024-04-14T01:26:40+00:00 | [] | [] | TAGS
#gguf #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #license-other #model-index #region-us
|
# DavidAU/DarkForest-20B-v2.0-Q8_0-GGUF
This model was converted to GGUF format from 'TeeZee/DarkForest-20B-v2.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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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. -->
# malaysia-news-classification-bert-english-skewness-fixed
This model is a fine-tuned version of [bert-base-uncased](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "malaysia-news-classification-bert-english-skewness-fixed", "results": []}]} | YagiASAFAS/malaysia-news-classification-bert-english | null | [
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"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-14T01:27:09+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| malaysia-news-classification-bert-english-skewness-fixed
========================================================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2051
* Accuracy: 0.8436
Model description
------------... | [
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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-Base-Document-Classifier
This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window16-256](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "microsoft/swinv2-base-patch4-window16-256", "model-index": [{"name": "SwinV2-Base-Document-Classifier", "results": []}]} | amaye15/SwinV2-Base-Document-Classifier | null | [
"transformers",
"safetensors",
"swinv2",
"image-classification",
"generated_from_trainer",
"base_model:microsoft/swinv2-base-patch4-window16-256",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T01:29:36+00:00 | [] | [] | TAGS
#transformers #safetensors #swinv2 #image-classification #generated_from_trainer #base_model-microsoft/swinv2-base-patch4-window16-256 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| SwinV2-Base-Document-Classifier
===============================
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window16-256 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0191
* Accuracy: 0.9946
* F1: 0.9946
* Precision: 0.9946
* Recall: 0.9946
Model de... | [
"### 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* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #safetensors #swinv2 #image-classification #generated_from_trainer #base_model-microsoft/swinv2-base-patch4-window16-256 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\... | [
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"TAGS\n#transformers #safetensors #swinv2 #image-classification #generated_from_trainer #base_model-microsoft/swinv2-base-patch4-window16-256 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n*... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dophin-gemma-2b-sft-math-adapter
This model is a fine-tuned version of [cognitivecomputations/dolphin-2.8-gemma-2b](https://hugg... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "cognitivecomputations/dolphin-2.8-gemma-2b", "model-index": [{"name": "dophin-gemma-2b-sft-math-adapter", "results": []}]} | venkateshmurugadas/dophin-gemma-2b-sft-math-adapter | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:cognitivecomputations/dolphin-2.8-gemma-2b",
"region:us"
] | null | 2024-04-14T01:30:31+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-cognitivecomputations/dolphin-2.8-gemma-2b #region-us
|
# dophin-gemma-2b-sft-math-adapter
This model is a fine-tuned version of cognitivecomputations/dolphin-2.8-gemma-2b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
"# dophin-gemma-2b-sft-math-adapter\n\nThis model is a fine-tuned version of cognitivecomputations/dolphin-2.8-gemma-2b on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informati... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-cognitivecomputations/dolphin-2.8-gemma-2b #region-us \n",
"# dophin-gemma-2b-sft-math-adapter\n\nThis model is a fine-tuned version of cognitivecomputations/dolphin-2.8-gemma-2b on the generator dataset.",
"## Model desc... | [
49,
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52
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"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-cognitivecomputations/dolphin-2.8-gemma-2b #region-us \n# dophin-gemma-2b-sft-math-adapter\n\nThis model is a fine-tuned version of cognitivecomputations/dolphin-2.8-gemma-2b on the generator dataset.## Model description\n\nM... |
null | null |
# DavidAU/DarkForest-20B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from [`TeeZee/DarkForest-20B-v1.0`](https://huggingface.co/TeeZee/DarkForest-20B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://... | {"license": "other", "tags": ["merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "license_name": "microsoft-research-license"} | DavidAU/DarkForest-20B-v1.0-Q8_0-GGUF | null | [
"gguf",
"merge",
"not-for-all-audiences",
"llama-cpp",
"gguf-my-repo",
"license:other",
"region:us"
] | null | 2024-04-14T01:32:52+00:00 | [] | [] | TAGS
#gguf #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #license-other #region-us
|
# DavidAU/DarkForest-20B-v1.0-Q8_0-GGUF
This model was converted to GGUF format from 'TeeZee/DarkForest-20B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/DarkForest-20B-v1.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'TeeZee/DarkForest-20B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\... | [
"TAGS\n#gguf #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #license-other #region-us \n",
"# DavidAU/DarkForest-20B-v1.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'TeeZee/DarkForest-20B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on t... | [
38,
82,
52
] | [
"TAGS\n#gguf #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #license-other #region-us \n# DavidAU/DarkForest-20B-v1.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'TeeZee/DarkForest-20B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the mod... |
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