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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. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model d... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | ladka6/my_awesome_opus_books_model | null | [
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#transformers #tensorboard #safetensors #encoder-decoder #generated_from_trainer #endpoints_compatible #region-us
| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of [](URL on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
-------... | [
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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": []} | ml233/prompt-tuning-negation_2choices | null | [
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#transformers #safetensors #llama #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Noodlz/DolphinStar-12.5B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/DolphinStar-12.5... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "Noodlz/DolphinStar-12.5B", "quantized_by": "mradermacher"} | mradermacher/DolphinStar-12.5B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers | ## 🌸 BLOOM 3b Fine-tuned for Chat Assistant
**Run this model on [Kaggle N... | {"language": ["en"], "license": "mit", "tags": ["uncensored", "unrestricted", "code", "biology", "chemistry", "finance", "legal", "music", "art", "climate", "merge", "text-generation-inference", "moe"], "datasets": ["Xilabs/instructmix", "CreitinGameplays/small-chat-assistant-for-bloom", "sahil2801/CodeAlpaca-20k"], "w... | CreitinGameplays/bloom-3b-conversational | null | [
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!bloom
Run this model on Kaggle Notebook
Model Name: bloom-3b-conversational
Model Architecture: bloom
Short Description: This model is a fine-tuned version of the BLOOM 3b language model, focusing on conversational interactions between an user and an AI assistant.
Inten... | [
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image-classification | timm | # Model card for zoobot-encoder-convnext_pico
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | mwalmsley/zoobot-encoder-convnext_pico | null | [
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"image-classification",
"license:apache-2.0",
"region:us"
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#timm #pytorch #image-classification #license-apache-2.0 #region-us
| # Model card for zoobot-encoder-convnext_pico
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text-generation | null |
## Exllama v2 Quantizations of Mistral-22B-v0.1
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contai... | {"license": "apache-2.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Mistral-22B-v0.1-exl2 | null | [
"text-generation",
"license:apache-2.0",
"region:us"
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#text-generation #license-apache-2.0 #region-us
|
## Exllama v2 Quantizations of Mistral-22B-v0.1
Using <a href="URL ExLlamaV2 v0.0.18</a> for quantization.
<b>The "main" branch only contains the URL, download one of the other branches for the model (see below)</b>
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image-classification | timm | # Model card for zoobot-encoder-resnet101
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | mwalmsley/zoobot-encoder-resnet101 | null | [
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#timm #pytorch #image-classification #license-apache-2.0 #region-us
| # Model card for zoobot-encoder-resnet101
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image-classification | timm | # Model card for zoobot-encoder-maxvit_tiny_rw_224
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | mwalmsley/zoobot-encoder-maxvit_tiny_rw_224 | null | [
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"image-classification",
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#timm #pytorch #image-classification #license-apache-2.0 #region-us
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image-classification | timm | # Model card for zoobot-encoder-maxvit_base_rw_224
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | mwalmsley/zoobot-encoder-maxvit_base_rw_224 | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-zonivkr | null | [
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"base_model:WizardLM/WizardMath-7B-V1.1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T20:11:14+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
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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/summarize-1 | null | [
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"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
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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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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... | ahGadji/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T20:13:47+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# ppo Agent playing LunarLander-v2
This is a trained model of a ppo agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
null | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** Pubmed
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/images/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"]} | LeroyDyer/Mixtral_AI_Pubmed_LORA | null | [
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# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
- Finetuned from model : Pubmed
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/> | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712866583211x136035506992513440
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Theuzs/Helena_Harp"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712866583211x136035506992513440 | null | [
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"text-to-image",
"lora",
"dataset:Theuzs/Helena_Harp",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
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|
# LoRA DreamBooth - squaadinc/1712866583211x136035506992513440
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_81 | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | ---
license:
base_model:
- timpal0l/Mistral-7B-v0.1-flashback-v2-instruct | {} | Debbevi/Experiment1-7B | null | [
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#transformers #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ---
license:
base_model:
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null | null | Check G-reen/EXPERIMENT-SFT-m7b2-1-merged (https://huggingface.co/G-reen/EXPERIMENT-SFT-m7b2-1-merged) for details. | {} | G-reen/EXPERIMENT-SFT-m7b2-1-lora | null | [
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#safetensors #region-us
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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": []} | luizlzg/arara_red7b | null | [
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"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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text-generation | transformers |
*This model was trained as part of a series of experiments testing the performance of pure DPO vs SFT vs ORPO, all supported by Unsloth/Huggingface TRL.*
**Benchmarks**
Average 56.93
ARC 56.83
HellaSwag 79.75
MMLU 56.76
TruthfulQA 46.29
Winogrande 76.64
GSM8K 25.32
**Training Details**
Duration: ~6-8 hours o... | {"license": "apache-2.0"} | G-reen/EXPERIMENT-SFT-m7b2-1-merged | null | [
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*This model was trained as part of a series of experiments testing the performance of pure DPO vs SFT vs ORPO, all supported by Unsloth/Huggingface TRL.*
Benchmarks
Average 56.93
ARC 56.83
HellaSwag 79.75
MMLU 56.76
TruthfulQA 46.29
Winogrande 76.64
GSM8K 25.32
Training Details
Duration: ~6-8 hours on one Ka... | [] | [
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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": []} | astro21/pix2struct-base-Sci-v2 | 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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- License... | [
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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": []} | zfan3/SPTM_CM_v2 | null | [
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"arxiv:1910.09700",
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# Model Card for Model ID
## Model Details
### Model Description
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | AlidarAsvarov/Reinforce-Pixelcopter-PLE-v0 | null | [
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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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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... | farrison-hord/ppo-lunar-lander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
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"model-index",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers |
# CodeZero-7B
This is a failed merge.
CodeZero-7B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [ResplendentAI/DaturaCookie_7B](https://huggingface.co/ResplendentAI/DaturaCookie_7B)
* [ResplendentAI/Flora_7B](https://huggingface.co/ResplendentAI/Flora_7B)
## 🧩 Configurat... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "ResplendentAI/DaturaCookie_7B", "ResplendentAI/Flora_7B"]} | bunnycore/CodeZero-7B | null | [
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"ResplendentAI/DaturaCookie_7B",
"ResplendentAI/Flora_7B",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T20:26:34+00:00 | [] | [] | TAGS
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|
# CodeZero-7B
This is a failed merge.
CodeZero-7B is a merge of the following models using mergekit:
* ResplendentAI/DaturaCookie_7B
* ResplendentAI/Flora_7B
## Configuration
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text-generation | transformers | Aim was to repair damage caused by duplicating the upscale with some additional training on completion from Cosmopedia.
Seemed to be converged at 50% epoch so I cut it off and used that adapter, which I hope actually did something because it wasn't a checkpoint.
eq_bench testing, as a quick reference, strongly sugges... | {"license": "apache-2.0"} | Lambent/danube2-upscale-1.1 | null | [
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| Aim was to repair damage caused by duplicating the upscale with some additional training on completion from Cosmopedia.
Seemed to be converged at 50% epoch so I cut it off and used that adapter, which I hope actually did something because it wasn't a checkpoint.
eq\_bench testing, as a quick reference, strongly sug... | [] | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-finetuned-IntentAnalysis-12April-v1-withoutreason
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-finetuned-IntentAnalysis-12April-v1-withoutreason", "results": []}]} | bhavya342/mistral-finetuned-IntentAnalysis-12April-v1-withoutreason | null | [
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|
# mistral-finetuned-IntentAnalysis-12April-v1-withoutreason
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information nee... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
## Model Details
### Model Description
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null | null | # Mixtral-8x22B-v0.1-GGUF
- Original model: [Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1).
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- Original model: Mixtral-8x22B-v0.1
## Description
This repo contains GGUF format model files for Mixtral-8x22B-v0.1.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no longer supported by URL.
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text-to-image | diffusers | # Jade (SD15) [LoRA]
<Gallery />
## Model description
Combined set of trained LoRA's from a very beautiful redhead and very beautiful blonde, using a blended ratio to create Jade v1.0, a uniquely beautiful result!
Original LoRA's trained using Edge of Realism based model.
I've found the best results u... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "blonde haired woman, (blue jeans:1.3) and (bra:1.2) and (leather jacket:1.2), long hair, small boobs, (full body:1.5), elegant pose, (detailed skin texture:1.5), background (... | Xafloc/jade | null | [
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"base_model:stablediffusionapi/edge-of-realism",
"license:creativeml-openrail-m",
"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stablediffusionapi/edge-of-realism #license-creativeml-openrail-m #region-us
| # Jade (SD15) [LoRA]
<Gallery />
## Model description
Combined set of trained LoRA's from a very beautiful redhead and very beautiful blonde, using a blended ratio to create Jade v1.0, a uniquely beautiful result!
Original LoRA's trained using Edge of Realism based model.
I've found the best results u... | [
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null | transformers | <div style="display: flex; justify-content: center;">
<img src="https://huggingface.co/son-of-man/Yuuko-7B-GGUF/resolve/main/thumb.jpg" alt="Header JPG">
</div>
"I thought you might want to take a look at these outputs. But careful, these logs are top secret."
base model: mistral-7b-v0.2
recommended prompt forma... | {"library_name": "transformers", "tags": ["merge", "not-for-all-audiences"]} | son-of-man/Yuuko-7B-GGUF | null | [
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| <div style="display: flex; justify-content: center;">
<img src="URL alt="Header JPG">
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"I thought you might want to take a look at these outputs. But careful, these logs are top secret."
base model: mistral-7b-v0.2
recommended prompt format: alpaca | [] | [
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-lr5e-8-margin-1-ep-5-bs-32
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Tra... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-lr5e-8-margin-1-ep-5-bs-32 | null | [
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|
# luiz-and-robert-thesis/all-mpnet-lr5e-8-margin-1-ep-5-bs-32
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sen... | [
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text-generation | transformers |
# mixtral-4x7b_slerp
This is a reupload of [isemmanuelolowe/mixtral-4x7b_slerp](https://huggingface.co/isemmanuelolowe/mixtral-4x7b_slerp) to test a few things on my end.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers mo... | {"license": "mit"} | monology/mixtral-4x7b_slerp | null | [
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# mixtral-4x7b_slerp
This is a reupload of isemmanuelolowe/mixtral-4x7b_slerp to test a few things on my end.
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | damian0815/sd2_TE_with_16ep_laion-pop-6144 | null | [
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text-generation | transformers | - Original data: https://huggingface.co/datasets/timdettmers/openassistant-guanaco?row=0
- Reformat Data 1K sample: https://huggingface.co/datasets/mlabonne/guanaco-llama2-1k?row=2
- Complete Reformat Data: https://huggingface.co/datasets/mlabonne/guanaco-llama2
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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": []} | Zlovoblachko/TenSem_L1_sent_generator | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Rimyy/gemma-2bftMath | null | [
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# Model Card for Model ID
## Model Details
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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": []} | GBaker/flan-t5-ecr-summ-20tok-20epoch | 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 |
# 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": "bofenghuang/vigostral-7b-chat"} | AscheZ/ALIE_1.4 | null | [
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### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Qwen/Qwen1.5-0.5B", "model-index": [{"name": "lora-out", "results": []}]} | Volko76/Qwen1.5-0.5B-French | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
lora-out
========
This model is a fine-tuned version of Qwen/Qwen1.5-0.5B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
---------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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null | null |
# swittk/DolphinStar-12.5B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Noodlz/DolphinStar-12.5B`](https://huggingface.co/Noodlz/DolphinStar-12.5B) 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://huggi... | {"tags": ["llama-cpp", "gguf-my-repo"]} | swittk/DolphinStar-12.5B-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# swittk/DolphinStar-12.5B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Noodlz/DolphinStar-12.5B' 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:
N... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | htrivedi99/latent-baseten | null | [
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"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T20:45:06+00:00 | [
"1910.09700"
] | [] | TAGS
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased
This model was trained from scratch on an unknown dataset.
It achieves the following results on the eval... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "model-index": [{"name": "distilbert-base-uncased", "results": []}]} | xshubhamx/distilbert-base-uncased | null | [
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| distilbert-base-uncased
=======================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7370
* Accuracy: 0.8071
* Precision: 0.8073
* Recall: 0.8071
* Precision Macro: 0.7532
* Recall Macro: 0.7485
* Macro Fpr: 0.0174
* Weighted F... | [
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null | null | GGUF quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Octopus-v2 - GGUF
- Model creator: https://huggingface.co/NexaAIDev/
- Original model: https://huggingface.co/NexaAIDev... | {} | RichardErkhov/NexaAIDev_-_Octopus-v2-gguf | null | [
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"arxiv:2404.01744",
"region:us"
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"2404.01744"
] | [] | TAGS
#gguf #arxiv-2404.01744 #region-us
| GGUF quantization made by Richard Erkhov.
Github
Discord
Request more models
Octopus-v2 - GGUF
* Model creator: URL
* Original model: URL
Name: Octopus-v2.Q2\_K.gguf, Quant method: Q2\_K, Size: 1.08GB
Name: Octopus-v2.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 1.16GB
Name: Octopus-v2.IQ3\_S.gguf, Quant meth... | [] | [
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null | null |
# bunnycore/CodeZero-7B-Q5_K_S-GGUF
This model was converted to GGUF format from [`bunnycore/CodeZero-7B`](https://huggingface.co/bunnycore/CodeZero-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "ResplendentAI/DaturaCookie_7B", "ResplendentAI/Flora_7B", "llama-cpp", "gguf-my-repo"]} | bunnycore/CodeZero-7B-Q5_K_S-GGUF | null | [
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"ResplendentAI/DaturaCookie_7B",
"ResplendentAI/Flora_7B",
"llama-cpp",
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"license:apache-2.0",
"region:us"
] | null | 2024-04-11T20:49:35+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #ResplendentAI/DaturaCookie_7B #ResplendentAI/Flora_7B #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# bunnycore/CodeZero-7B-Q5_K_S-GGUF
This model was converted to GGUF format from 'bunnycore/CodeZero-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Y... | [
"# bunnycore/CodeZero-7B-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'bunnycore/CodeZero-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# Uploaded model
- **Developed by:** liminerity
- **License:** apache-2.0
- **Finetuned from model :** cognitivecomputations/dolphin-2.8-mistral-7b-v02
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubuserconte... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "cognitivecomputations/dolphin-2.8-mistral-7b-v02"} | liminerity/dolphin-star | null | [
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"license:apache-2.0",
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|
# Uploaded model
- Developed by: liminerity
- License: apache-2.0
- Finetuned from model : cognitivecomputations/dolphin-2.8-mistral-7b-v02
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | # 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:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch"]} | arcee-ai/mistral-v2-sec-dolphin | 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:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
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text-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. -->
# deneme_linux
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the followin... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "gpt2", "model-index": [{"name": "deneme_linux", "results": []}]} | denizzhansahin/deneme_linux | null | [
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| deneme\_linux
=============
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.6315
* Validation Loss: 7.0703
* Epoch: 99
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ayman56/llama2_SAS_finetuned_50_test | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# SRigL / RigL Model Checkpoints
This repo contains checkpoints of a variety of models trained with `SRigL` and `RigL`. See our [paper](https://openreview.net/forum?id=kOBkxFRKTA) and [GitHub repo](https://github.com/calgaryml/condensed-sparsity) for more info. | {"license": "mit"} | mklasby/srigl | null | [
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# SRigL / RigL Model Checkpoints
This repo contains checkpoints of a variety of models trained with 'SRigL' and 'RigL'. See our paper and GitHub repo for more info. | [
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text-generation | transformers |
# Spaetzle-v58-7b
This is only for experimenting with merges that involve the somewhat cumbersome Occiglot. This one here performs not too bad, with
EQ Bench Score (v2_de): 61.52
and english EQ Bench Score (v2): 75.69
But it produces some unwanted tokens still and we could get better benchmark results, but so far in ... | {"language": ["en", "de"], "tags": ["merge", "mergekit", "lazymergekit", "cstr/Spaetzle-v31-7b", "cstr/Spaetzle-v12-7b"], "base_model": ["cstr/Spaetzle-v31-7b", "cstr/Spaetzle-v12-7b"]} | cstr/Spaetzle-v58-7b | null | [
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| Spaetzle-v58-7b
===============
This is only for experimenting with merges that involve the somewhat cumbersome Occiglot. This one here performs not too bad, with
EQ Bench Score (v2\_de): 61.52
and english EQ Bench Score (v2): 75.69
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text-generation | transformers |
# Uploaded as 16bit model
- **Developed by:** Labagaite
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : **0.9842446709916588**
### Best ROUGE-2 score : **0.9842154131847726**
### Best ROUGE-L score : **0.984... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "summarizer", "16bit"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | Labagaite/mistral-Summarizer-7b-instruct-v0.2 | null | [
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# Uploaded as 16bit model
- Developed by: Labagaite
- License: apache-2.0
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### Best ROUGE-1 score : 0.9842446709916588
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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": []} | HeydarS/stable_lm2_popQA_peft_v50 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # 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:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch"]} | mergekit-community/mergekit-slerp-xqswkgn | 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:
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fill-mask | 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. -->
# codebert_2
This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-ml... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/codebert-base-mlm", "model-index": [{"name": "codebert_2", "results": []}]} | ZZZZCCCC/codebert_2 | null | [
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| codebert\_2
===========
This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5133
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More in... | [
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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": []} | emendes3/idefics-9b-instruct-country | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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": []} | emendes3/idefics-9b-instruct-exact_location_name | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | emendes3/idefics-9b-instruct-neighborhood | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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": []} | emendes3/idefics-9b-instruct-exact_gps_coordinates | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/AI4DS/DeepSeek-NL2SQL-33B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "AI4DS/DeepSeek-NL2SQL-33B", "quantized_by": "mradermacher"} | mradermacher/DeepSeek-NL2SQL-33B-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
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<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ddh0/OrcaMaid-13b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "ddh0/OrcaMaid-13b", "license_link": "https://huggingface.co/microsoft/Orca-2-13b/blob/main/LICENSE", "license_name": "microsoft-research-license", "quantized_by": "mradermacher"} | mradermacher/OrcaMaid-13b-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-ddh0/OrcaMaid-13b #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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. -->
# paul-test-classification-roberta
This model is a fine-tuned version of [FacebookAI/roberta-large-mnli](https://huggingface.co/Fa... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-large-mnli", "model-index": [{"name": "paul-test-classification-roberta", "results": []}]} | nolo-test/paul-test-classification-roberta | null | [
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| paul-test-classification-roberta
================================
This model is a fine-tuned version of FacebookAI/roberta-large-mnli on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended u... | [
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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/gemma-2b"} | yichunkuo/gemma-2b-quote-LoRA | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
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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/sc2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NousResearch/Nous-Puffin-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Nous-Puffin-... | {"language": ["en"], "license": ["mit"], "library_name": "transformers", "tags": ["llama-2", "sft"], "datasets": ["LDJnr/Puffin"], "base_model": "NousResearch/Nous-Puffin-70B", "quantized_by": "mradermacher"} | mradermacher/Nous-Puffin-70B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
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(sorted by size, not necessarily quality. ... | [] | [
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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": "unsloth/gemma-1.1-2b-it-bnb-4bit"} | sosoai/hansoldeco-unsloth-gemma-1.1-2b-it-lora | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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": []} | luozhuanggary/GOAT-v0.2-Mistral-7B-Teacher-QC | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Uploaded as 4bit model
- **Developed by:** Labagaite
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
# Training Logs
## Summary metrics
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### Best ROUGE-2 score : **0.9842154131847726**
### Best ROUGE-L score : **0.9842... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "summarizer", "4bit"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | Labagaite/mistral-Summarizer-7b-instruct-v0.2-bnb-4bit | null | [
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# Uploaded as 4bit model
- Developed by: Labagaite
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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": []} | HikariLight/Mistral-SUFT-3-5e-05-1-all | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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text-generation | transformers |
# 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": []} | tomaszki/mistral-30 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codebert_3
This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-ml... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/codebert-base-mlm", "model-index": [{"name": "codebert_3", "results": []}]} | ZZZZCCCC/codebert_3 | null | [
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| codebert\_3
===========
This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5852
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More in... | [
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw2.25 | null | [
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| ## Quick Summary
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | AlidarAsvarov/ML-Agents-SnowballTarget | null | [
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# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | aa-unh/poca-SoccerTwos | null | [
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|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-hf"} | cgihlstorf/llama27b-finetuned_32_1_0.0003_alternate_train_val_split | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- License:
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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... | kas22/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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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 DreamBooth - fchen12/adam_v1
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "diffusers", "lora", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true, "instance_prompt": "a photo of girlface"} | fchen12/adam_v1 | null | [
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# LoRA DreamBooth - fchen12/adam_v1
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of girlface using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
## Intended uses & limitations
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text-generation | transformers |
# Uploaded as lora model
- **Developed by:** Labagaite
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : **0.9842446709916588**
### Best ROUGE-2 score : **0.9842154131847726**
### Best ROUGE-L score : **0.9842... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "summarizer", "lora"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | Labagaite/mistral-Summarizer-7b-instruct-v0.2-LORA-bnb-4bit | null | [
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# Uploaded as lora model
- Developed by: Labagaite
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : 0.9842446709916588
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### Best ROUGE-L score : 0.9842446709916588
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### 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": []} | LongQ/Mistral_KTO_Lora | null | [
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null | peft |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["my"], "library_name": "transformers", "pipeline_tag": "text-generation"} | Turtle344/health_qa_myanmar_mgpt_finetune_v2 | null | [
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw2.5 | null | [
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| ## Quick Summary
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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-student
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-student", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | NiharGupte/swin-tiny-patch4-window7-224-finetuned-student | null | [
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| swin-tiny-patch4-window7-224-finetuned-student
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
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* Loss: 0.0178
* Accuracy: 1.0
Model description
---------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- 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": []} | tomaszki/mistral-30-a | null | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Ppoyaa/Neural-AlphaMistral-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "mlabonne/AlphaMonarch-7B", "mistralai/Mistral-7B-Instruct-v0.2", "Kukedlc/NeuralMaths-Experiment-7b"], "base_model": "Ppoyaa/Neural-AlphaMistral-7B", "quantized_by": "mradermacher"} | mradermacher/Neural-AlphaMistral-7B-GGUF | null | [
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"en",
"base_model:Ppoyaa/Neural-AlphaMistral-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #mlabonne/AlphaMonarch-7B #mistralai/Mistral-7B-Instruct-v0.2 #Kukedlc/NeuralMaths-Experiment-7b #en #base_model-Ppoyaa/Neural-AlphaMistral-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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/summarize-2 | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T21:41:23+00:00 | [] | [
"en"
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#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# 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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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="seachus/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": ... | seachus/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-11T21:41:28+00:00 | [] | [] | TAGS
#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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] |
reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-pixelcopter", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PL... | kas22/Reinforce-pixelcopter | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-11T21:43:17+00:00 | [] | [] | TAGS
#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
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the De... |
text-generation | transformers |
# 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": []} | tomaszki/mistral-30-b | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T21:43:28+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw3 | null | [
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"3-bit",
"region:us"
] | null | 2024-04-11T21:47:29+00:00 | [
"2403.17887"
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| ## Quick Summary
This model is an adaptation of the 'mistralai/Mistral-7B-Instruct-v0.2', refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the 'MergeKit' and 'PruneMe' repositories to optimiz... | [
"## Quick Summary\n\nThis model is an adaptation of the 'mistralai/Mistral-7B-Instruct-v0.2', refined through the application of layer pruning techniques as detailed in the paper \"The Unreasonable Ineffectiveness of the Deeper Layers.\" It incorporates methodologies from the 'MergeKit' and 'PruneMe' repositories t... | [
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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": []} | he2plus/gemma-Code-Instruct-Finetune-test-run-dpt | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-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. -->
# flan-t5-small
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/flan-t5-small", "model-index": [{"name": "flan-t5-small", "results": []}]} | xshubhamx/flan-t5-small | null | [
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"base_model:google/flan-t5-small",
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"autotrain_compatible",
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"text-generation-inference",
"region:us"
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| flan-t5-small
=============
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: nan
* Accuracy: 1
* F1 Micro: 1
* F1 Macro: 1
* F1 Weighted: 1
Model description
-----------------
More information needed
Intended use... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-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: 15\n* mixed\\_preci... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Fredithefish/MysticNoromaidx
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/MysticNoroma... | {"language": ["en"], "library_name": "transformers", "base_model": "Fredithefish/MysticNoromaidx", "quantized_by": "mradermacher"} | mradermacher/MysticNoromaidx-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Fredithefish/MysticNoromaidx",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T21:49:24+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Fredithefish/MysticNoromaidx #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-Fredithefish/MysticNoromaidx #endpoints_compatible #region-us \n"
] | [
33
] | [
"TAGS\n#transformers #gguf #en #base_model-Fredithefish/MysticNoromaidx #endpoints_compatible #region-us \n"
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MindonFire/gemma-2b | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T21:49:26+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | adapter-transformers |
# Adapter `BigTMiami/adapter_HUB_classification_no_pretraining_test` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/adapter_HUB_classification_no_pretraining_test | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness",
"region:us"
] | null | 2024-04-11T21:53:34+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'BigTMiami/adapter_HUB_classification_no_pretraining_test' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First,... | [
"# Adapter 'BigTMiami/adapter_HUB_classification_no_pretraining_test' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library.",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/deepnight-research/saily_100b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/saily_100b-... | {"language": ["en"], "license": "mit", "library_name": "transformers", "base_model": "deepnight-research/saily_100b", "license_link": "LICENSE", "license_name": "deepnight-responsible-ai", "quantized_by": "mradermacher"} | mradermacher/saily_100b-i1-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-deepnight-research/saily_100b #license-mit #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-to-image | diffusers | # Middle Finger
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/grilder/Middle_Finger_SDXL/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "Victorian man, showing the middle finger, London, (sharp focus:1.2), extremely detailed, (photorealistic:1.4), (RAW image, 8k high resolution:1.2), RAW candid cinema, 16mm, color graded Portra 400 film, ultra r... | grilder/Middle_Finger_SDXL | null | [
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"text-to-image",
"stable-diffusion",
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"base_model:h1t/TCD-SDXL-LoRA",
"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-h1t/TCD-SDXL-LoRA #region-us
| # Middle Finger
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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] |
text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw3.5 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"2403.17887"
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| ## Quick Summary
This model is an adaptation of the 'mistralai/Mistral-7B-Instruct-v0.2', refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the 'MergeKit' and 'PruneMe' repositories to optimiz... | [
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Llama-2-7b-hf", "microsoft/Orca-2-7b", "arcee-ai/Patent-Instruct-7b"]} | mergekit-community/mergekit-ties-aspkrwz | null | [
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"base_model:arcee-ai/Patent-Instruct-7b",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference"... | null | 2024-04-11T21:57:27+00:00 | [
"2306.01708"
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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 TIES merge method using NousResearch/Llama-2-7b-hf as a base.
### Models Merged
The following models were included in the merge:
* microsoft/Orca-2-7b
* arcee-ai/Patent-I... | [
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"### Models Merged\n\nThe following models were included in the merge:\n* microsoft/Orca... | [
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