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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/wlo6qzz | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #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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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Hi - TG
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) ... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi - TG", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Autom... | pranjali06/whisper-small-hi | null | [
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| Whisper Small Hi - TG
=====================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4410
* Wer: 32.4177
Model description
-----------------
More information needed
Intended uses & limitation... | [
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text-to-image | diffusers | # julzzess
<Gallery />
## Trigger words
You should use `julzzess` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/MarkBW/julzzess/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "<lora:Julzzess:0.9>, Julzzess,a woman wearing knit sweater and skirt, attic, (natural lighting:0.5)", "parameters": {"negative_prompt": "paintings, sketches, (worst quality:2), (low quality:2), (normal quality:... | MarkBW/julzzess | null | [
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"text-to-image",
"stable-diffusion",
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #region-us
| # julzzess
<Gallery />
## Trigger words
You should use 'julzzess' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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null | transformers |
# Uploaded model
- **Developed by:** Damisola
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.1-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library on InfoWARE's IWGI Mutual Fund Document.
| {"language": ["en"], "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.1-bnb-4bit"} | SirDamisola/lora_model_quantized | null | [
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# Uploaded model
- Developed by: Damisola
- Finetuned from model : unsloth/mistral-7b-instruct-v0.1-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library on InfoWARE's IWGI Mutual Fund Document.
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-dmae-va-U5-42B
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/g... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["Augusto777/dmae-ve-U5"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-dmae-va-U5-42B", "results": []}]} | Augusto777/vit-base-patch16-224-dmae-va-U5-42B | null | [
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| vit-base-patch16-224-dmae-va-U5-42B
===================================
This model is a fine-tuned version of google/vit-base-patch16-224 on Augusto777/dmae-ve-U5 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7215
* Accuracy: 0.85
Model description
-----------------
More informatio... | [
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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... | Liilk/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-02T11:42:28+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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] |
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. -->
# firstmodel
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "firstmodel", "results": []}]} | AniketArtani/firstmodel | null | [
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"text2text-generation",
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"base_model:facebook/bart-base",
"license:apache-2.0",
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|
# firstmodel
This model is a fine-tuned version of facebook/bart-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The follo... | [
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null | null | I tried to find what is the trend in 'Shirt', 'Jeans', 'Watch' and 'Bag'.¶
By considering mords which used in 'Product Name' and 'Product Description', I analyzed whiat is the trend in each product categories.
1) Shirt
Prined or colored shirt will be cool now. Eapecially, blue shirt is popular this season. Slim will be... | {"license": "mit"} | kmsignite/product-recommendation-sysytem | null | [
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#license-mit #region-us
| I tried to find what is the trend in 'Shirt', 'Jeans', 'Watch' and 'Bag'.¶
By considering mords which used in 'Product Name' and 'Product Description', I analyzed whiat is the trend in each product categories.
1) Shirt
Prined or colored shirt will be cool now. Eapecially, blue shirt is popular this season. Slim will be... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/n15bvr8 | null | [
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"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #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 |
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
```
<br>
![Tesoro](https://huggingface.co/migtissera/Tess-7B-v... | {"license": "other", "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | blockblockblock/Tess-2.0-Yi-34B-200K-bpw6 | null | [
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"text-generation",
"license:other",
"autotrain_compatible",
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"text-generation-inference",
"6-bit",
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|
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
<br>
!Tesoro
<br>
### Below shows a code example on how to use this model:
<br>
#### Limitations & Biases:
... | [
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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. -->
# FAT5_small_NER_FIRE-512
This model is a fine-tuned version of [CATIE-AQ/FAT5-small-UL2-fr-FIRE-512](https://huggingface.co/CATIE... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "CATIE-AQ/FAT5-small-UL2-fr-FIRE-512", "model-index": [{"name": "FAT5_small_NER_FIRE-512", "results": []}]} | bourdoiscatie/FAT5_small_NER_FIRE-512 | null | [
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| FAT5\_small\_NER\_FIRE-512
==========================
This model is a fine-tuned version of CATIE-AQ/FAT5-small-UL2-fr-FIRE-512 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0693
* Precision: 0.9809
* Recall: 0.9809
* F1: 0.9809
* Accuracy: 0.9809
Model description
----... | [
"### 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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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": []} | areegtarek/idefics-9b-pokemon | null | [
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"1910.09700"
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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 | # Model Card for functionary-medium-v2.4
[https://github.com/MeetKai/functionary](https://github.com/MeetKai/functionary)
Functionary is a language model that can interpret and execute fun... | {} | meetkai/functionary-small-v2.4 | null | [
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#transformers #tensorboard #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Model Card for functionary-medium-v2.4
======================================
URL
!Functionary Logo
Functionary is a language model that can interpret and execute functions/plugins.
The model determines when to execute functions, whether in parallel or serially, and can understand their outputs. It only trigger... | [] | [
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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": []} | datasciathlete/ke-t5-base-aihub-nmt-short-bs8-lr1e4-wd001-e1 | 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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- Funded by [optional]:
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null | peft |
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
<details><summary>See axolotl config</summary>
axolotl version: `0.4.0`
```yaml
# use google/gemma-7... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "peft-gemma2b", "results": []}]} | dvdmrs09/peft-gemma-2b | null | [
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"base_model:google/gemma-2b-it",
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#peft #safetensors #gemma #generated_from_trainer #base_model-google/gemma-2b-it #license-other #4-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
out3
====
This model is a fine-tuned version of google/gemma-2b-it on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2430
Model description
-----------------
... | [
"### 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: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 3\n* total\\_train\\_batch\\_size: 48\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": []} | unrented5443/rf989hd | 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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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": []} | hgnoi/fine-tune-1 | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | Name: 4xRealWebPhoto_RGT
License: CC BY 4.0
Author: Philip Hofmann
Network: RGT
Scale: 4
Release Date: 10.03.2024
Purpose: 4x real web photo upscaler, meant for upscaling photos downloaded from the web
Iterations: 260'000
epoch: 71
batch_size: 12
HR_size: 128
Dataset: 4xRealWebPhoto
Number of tr... | {"license": "other", "license_name": "cc-by-4.0", "license_link": "https://creativecommons.org/licenses/by/4.0/"} | Phips/4xRealWebPhoto_RGT | null | [
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#onnx #license-other #region-us
| Name: 4xRealWebPhoto_RGT
License: CC BY 4.0
Author: Philip Hofmann
Network: RGT
Scale: 4
Release Date: 10.03.2024
Purpose: 4x real web photo upscaler, meant for upscaling photos downloaded from the web
Iterations: 260'000
epoch: 71
batch_size: 12
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text-generation | transformers |
<br>
<br>
# LLaVA Model Card
## Model details
**Model type:**
LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.
Base LLM: [NousResearch/Nous-Hermes-2-Yi-34B](https://huggingface.co/Nous... | {"license": "apache-2.0", "inference": false} | LiuWendell/llava34b | null | [
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"license:apache-2.0",
"autotrain_compatible",
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#transformers #safetensors #llava #text-generation #conversational #license-apache-2.0 #autotrain_compatible #region-us
|
<br>
<br>
# LLaVA Model Card
## Model details
Model type:
LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.
Base LLM: NousResearch/Nous-Hermes-2-Yi-34B
Model date:
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | {"library_name": "peft"} | hrangel/SQL_agent | null | [
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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text-generation | transformers |
# Thai-merge7B-test-01
Thai-merge7B-test-01 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: scb10x/typhoon-7b
- model: SeaLLMs/SeaLLM-7B-v2
- model: mistralai/Mistral-7B... | {"tags": ["merge", "mergekit", "lazymergekit"]} | Ksgk-fy/Thai-merge7B-test-01 | null | [
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#transformers #mistral #text-generation #merge #mergekit #lazymergekit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Thai-merge7B-test-01
Thai-merge7B-test-01 is a merge of the following models using LazyMergekit:
## Configuration
## Usage
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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. -->
# opus-mt-en-bkm-Final-37
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["arrow"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-ro", "model-index": [{"name": "opus-mt-en-bkm-Final-37", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"... | kalese/opus-mt-en-bkm-Final-37 | null | [
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| opus-mt-en-bkm-Final-37
=======================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the arrow dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1287
* Bleu: 0.8035
* Gen Len: 8.152
Model description
-----------------
More information needed
Intended us... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/fqmctzh | null | [
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# Model Card for Model ID
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text-generation | transformers |
# TripleMerge2-7B-Ties
TripleMerge2-7B-Ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/LimyQstar-7B-slerp](https://huggingface.co/allknowingroger/LimyQstar-7B-slerp)
* [allknowingroger/JaskierMistra... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "allknowingroger/LimyQstar-7B-slerp", "allknowingroger/JaskierMistral-7B-slerp", "allknowingroger/LimmyAutomerge-7B-slerp"], "base_model": ["allknowingroger/LimyQstar-7B-slerp", "allknowingroger/JaskierMistral-7B-slerp", "allknowingroger/LimmyAutom... | allknowingroger/TripleMerge2-7B-Ties | null | [
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# TripleMerge2-7B-Ties
TripleMerge2-7B-Ties is a merge of the following models using LazyMergekit:
* allknowingroger/LimyQstar-7B-slerp
* allknowingroger/JaskierMistral-7B-slerp
* allknowingroger/LimmyAutomerge-7B-slerp
## Configuration
## Usage
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automatic-speech-recognition | ctranslate2 |
# Whisper large-v2 model for CTranslate2
This repository contains the conversion of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.
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# Whisper large-v2 model for CTranslate2
This repository contains the conversion of openai/whisper-large-v2 to the CTranslate2 model format.
This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.
## Example
## Conversion details
The original model was converted with the f... | [
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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 - nikhiltik/tikao_db
<Gallery />
## Model description
These are nikhiltik/tikao_db LoRA adaption... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stabl... | nikhiltik/tikao_db | null | [
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# SDXL LoRA DreamBooth - nikhiltik/tikao_db
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | SungJinD/dqn-SpaceInvadersNoFrameskip-v4 | 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": []} | unrented5443/z3yhl3s | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
**LOLA**: Large and Open Source Multilingual Language Model
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LOLA: Large and Open Source Multilingual Language Model
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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="shanghong/q-FrozenLake-4x4-test", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-4x4-test", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": "FrozenLa... | shanghong/q-FrozenLake-4x4-test | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-02T12:07:19+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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] |
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. -->
# dpo-selective-longerrun
This model was trained from scratch on the None dataset.
It achieves the following results on the evalua... | {"tags": ["trl", "dpo", "generated_from_trainer"], "model-index": [{"name": "dpo-selective-longerrun", "results": []}]} | wxzhang/dpo-selective-longerrun | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T12:10:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #trl #dpo #generated_from_trainer #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| dpo-selective-longerrun
=======================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4916
* Rewards/chosen: -0.6959
* Rewards/rejected: -2.0431
* Rewards/accuracies: 0.7579
* Rewards/margins: 1.3472
* Logps/rejected: -312.5994
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712059868511x810078710128792700
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:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Frank535/ML"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1712059868511x810078710128792700 | null | [
"diffusers",
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"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:Frank535/ML",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-02T12:11:17+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Frank535/ML #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712059868511x810078710128792700
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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"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Frank535/ML #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-finetuned-sbcmod
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the No... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-finetuned-sbcmod", "results": []}]} | mohits01/phi-2-finetuned-sbcmod | null | [
"peft",
"tensorboard",
"safetensors",
"phi",
"generated_from_trainer",
"custom_code",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-02T12:11:25+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #phi #generated_from_trainer #custom_code #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi-2-finetuned-sbcmod
This model is a fine-tuned version of microsoft/phi-2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
"# phi-2-finetuned-sbcmod\n\nThis model is a fine-tuned version of microsoft/phi-2 on the None dataset.",
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"... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/0s8xo5f | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T12:11:49+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/louisbrulenaudet/Maxine-7B-0401-ties
<!-- provided-files -->
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 plan... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "louisbrulenaudet/Maxine-7B-0401-ties", "quantized_by": "mradermacher"} | mradermacher/Maxine-7B-0401-ties-GGUF | null | [
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] | TAGS
#transformers #gguf #en #base_model-louisbrulenaudet/Maxine-7B-0401-ties #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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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
**LOLA**: Large and Open Source Multilingual Language Model
## Model Description
This is a fine-tuned version of [dice-research/lola_v1](https://huggingface.co/dice-research/lola_v1) trained on [Alpaca](https://huggingface.co/data... | {"library_name": "transformers", "tags": []} | dice-research/lola_v1_alpaca_instructions | null | [
"transformers",
"safetensors",
"lola_v1",
"text-generation",
"custom_code",
"autotrain_compatible",
"region:us"
] | null | 2024-04-02T12:17:43+00:00 | [] | [] | TAGS
#transformers #safetensors #lola_v1 #text-generation #custom_code #autotrain_compatible #region-us
|
# Model Card for Model ID
LOLA: Large and Open Source Multilingual Language Model
## Model Description
This is a fine-tuned version of dice-research/lola_v1 trained on Alpaca dataset for 3 epochs.
| [
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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. -->
# zhu0311/distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unk... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilgpt2", "model-index": [{"name": "zhu0311/distilgpt2-finetuned-wikitext2", "results": []}]} | zhu0311/distilgpt2-finetuned-wikitext2 | null | [
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"text-generation",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T12:19:09+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #gpt2 #text-generation #generated_from_keras_callback #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| zhu0311/distilgpt2-finetuned-wikitext2
======================================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 673.5794
* Validation Loss: 521.5631
* Epoch: 0
Model description
-----------------
More in... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/d5mu1zo | null | [
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"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T12:19:36+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- Provide a longer summary of what this model is. -->
# TiLamb-7B（Tibetan Large Language Model Base）
**TiLamb-7B** 是藏文大语言模型的基座模型，它使用了 26.43GB 的藏文语料，基于Meta发布的可商用大模型 LLaMA2-7B 模型，通过 LoRA 方法进行了增量预训练。该模型在 LLaMA2 的基础上扩展了词表，从原有的词表大小 32,000 扩充藏文词汇至 61,221 ，并对 LLaMA2-7B 原始模型的 embedding 和 lm_head 进行了均值扩充初始化。更多信息请访问 [TiLam... | {"language": ["bo"], "license": "apache-2.0"} | YoLo2000/TiLamb-7B | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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"bo"
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#transformers #pytorch #llama #text-generation #bo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# TiLamb-7B（Tibetan Large Language Model Base）
TiLamb-7B 是藏文大语言模型的基座模型，它使用了 26.43GB 的藏文语料，基于Meta发布的可商用大模型 LLaMA2-7B 模型，通过 LoRA 方法进行了增量预训练。该模型在 LLaMA2 的基础上扩展了词表，从原有的词表大小 32,000 扩充藏文词汇至 61,221 ，并对 LLaMA2-7B 原始模型的 embedding 和 lm_head 进行了均值扩充初始化。更多信息请访问 TiLamb-7B GitHub 主页。
重要说明：
- TiLamb-7B 是一个未经监督微调的基座模型，不具备对话能力。
- ... | [
"# TiLamb-7B（Tibetan Large Language Model Base）\n\nTiLamb-7B 是藏文大语言模型的基座模型，它使用了 26.43GB 的藏文语料，基于Meta发布的可商用大模型 LLaMA2-7B 模型，通过 LoRA 方法进行了增量预训练。该模型在 LLaMA2 的基础上扩展了词表，从原有的词表大小 32,000 扩充藏文词汇至 61,221 ，并对 LLaMA2-7B 原始模型的 embedding 和 lm_head 进行了均值扩充初始化。更多信息请访问 TiLamb-7B GitHub 主页。\n\n重要说明：\n- TiLamb-7B 是一个未经监督微调的基座模型，不具备对... | [
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"# TiLamb-7B（Tibetan Large Language Model Base）\n\nTiLamb-7B 是藏文大语言模型的基座模型，它使用了 26.43GB 的藏文语料，基于Meta发布的可商用大模型 LLaMA2-7B 模型，通过 LoRA 方法进行了增量预训练。该模型在 LL... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/bagel-dpo-34b-v0.5-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer t... | {"language": ["en"], "license": "other", "library_name": "transformers", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-... | mradermacher/bagel-dpo-34b-v0.5-GGUF | null | [
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"dataset:codeparrot/apps",
"dataset:facebook/belebele",
"dataset:bluemoon-fandom-1-1-rp-cleaned",
"dataset:boo... | null | 2024-04-02T12:20:42+00:00 | [] | [
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-----
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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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": []} | Resi/donut-docvqa-demo | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T12:22:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | gguf | * GGUF importance matrix (imatrix) quants for https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5
* The importance matrix was trained for 100K tokens (200 batches of 512 tokens) using wiki.train.raw.
* The [imatrix is being used on the K-quants](https://github.com/ggerganov/llama.cpp/pull/4930) as well (below Q6_K).
... | {"license": "other", "library_name": "gguf", "license_name": "yi-license", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "jondurbin/bagel-dpo-34b-v0.5"} | dranger003/bagel-dpo-34b-v0.5-iMat.GGUF | null | [
"gguf",
"text-generation",
"base_model:jondurbin/bagel-dpo-34b-v0.5",
"license:other",
"region:us"
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#gguf #text-generation #base_model-jondurbin/bagel-dpo-34b-v0.5 #license-other #region-us
| * GGUF importance matrix (imatrix) quants for URL
* The importance matrix was trained for 100K tokens (200 batches of 512 tokens) using URL.
* The imatrix is being used on the K-quants as well (below Q6\_K).
* Generated with URL commit 'f87f7b89'
Layers:
```
60
```
, Context:
```
200000
```
, Template:
```
[INST] ... | [] | [
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] | [
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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="shanghong/q-FrozenLake-4x4-custom", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attribut... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-4x4-custom", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": "Frozen... | shanghong/q-FrozenLake-4x4-custom | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-02T12:24:18+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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] |
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. -->
# GPTL-APPS
This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on an unknown dataset.
It achiev... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2-large", "model-index": [{"name": "GPTL-APPS", "results": []}]} | AdnanRiaz107/GPTL-APPS | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:gpt2-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T12:28:25+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-gpt2-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GPTL-APPS
=========
This model is a fine-tuned version of gpt2-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7539
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Tr... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/wa3kayw | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | mjm4dl/slot_filling_on_data_27_march_rank8_e3 | null | [
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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:
- Funded by [optional]:
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null | null |
GGUFs for Garbage 9B - https://huggingface.co/jeiku/Garbage_9B
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt | {"language": ["en"], "license": "apache-2.0"} | MarsupialAI/Garbage_9B_iMatrix_GGUF | null | [
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|
GGUFs for Garbage 9B - URL
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/gd02dn4 | 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-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712061479300x698675564507791400
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 photo of TOK
```
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": ["Ton27/ton27"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of TOK", "inference": false} | squaadinc/1712061479300x698675564507791400 | null | [
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"text-to-image",
"lora",
"dataset:Ton27/ton27",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-02T12:38:12+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Ton27/ton27 #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712061479300x698675564507791400
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 |
<!-- 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. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | rayy1111/distilgpt2-finetuned-wikitext2 | null | [
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# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | peft |
# Model Card for Model ID
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## Model Details
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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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null | transformers |
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null | transformers |
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text-generation | transformers |
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# intent-classify-reviewer
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| intent-classify-reviewer
========================
This model is a fine-tuned version of roberta-base on an unknown dataset.
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Model description
-----------------
More information needed... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# zhu0311/distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/disti... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilroberta-base", "model-index": [{"name": "zhu0311/distilroberta-base-finetuned-wikitext2", "results": []}]} | zhu0311/distilroberta-base-finetuned-wikitext2 | null | [
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| zhu0311/distilroberta-base-finetuned-wikitext2
==============================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 66.3573
* Validation Loss: 34.5699
* Epoch: 0
Model description
-----... | [
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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. -->
# opus-mt-en-bkm-Final-60
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["arrow"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-ro", "model-index": [{"name": "opus-mt-en-bkm-Final-60", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"... | kalese/opus-mt-en-bkm-Final-60 | null | [
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| opus-mt-en-bkm-Final-60
=======================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the arrow dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5584
* Bleu: 9.354
* Gen Len: 40.6029
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": "ai-forever/FRED-T5-1.7B"} | SouthMemphis/fred-t5-1024 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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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": []} | willystumblr/ehrsql-2024-sft-unanswerable-gemma-2b-it | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/ap13zw3 | 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 | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-34B-layer-mix-bpw-2.2 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-generation | transformers | <!-- markdownlint-disable MD041 -->
# Mixtral 7Bx2 MoE - GGUF
- Model creator: [hai](https://huggingface.co/cloudyu)
- Original model: [Mixtral 7Bx2 MoE](https://huggingface.co/cloudyu/Mixtral_7Bx2_MoE)
<!-- description start -->
## Description
This repo contains GGUF format model files for [hai's Mixtral 7Bx2 MoE](... | {"license": "cc-by-nc-4.0", "model_name": "Mixtral 7Bx2 MoE", "base_model": "cloudyu/Mixtral_7Bx2_MoE", "inference": false, "model_creator": "hai", "model_type": "mixtral", "prompt_template": "{prompt}\n", "quantized_by": "ManniX-ITA"} | ManniX-ITA/Mixtral_7Bx2_MoE-GGUF | null | [
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"license:cc-by-nc-4.0",
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"text-generation-inference",
"region:us"
] | null | 2024-04-02T12:51:35+00:00 | [] | [] | TAGS
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|
# Mixtral 7Bx2 MoE - GGUF
- Model creator: hai
- Original model: Mixtral 7Bx2 MoE
## Description
This repo contains GGUF format model files for hai's Mixtral 7Bx2 MoE.
### 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 ... | [
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image-classification | transformers |
# SkinCancer-Classifier(small-sized model)
SkinCancer-Classifier is a fine-tuned version of [swin-base](https://huggingface.co/microsoft/swin-base-patch4-window12-384-in22k). It was introduced in this [paper](https://arxiv.org/abs/2103.14030) by Liu et al. and first released in this [repository](https://github.com/mi... | {"license": "apache-2.0", "tags": ["autotrain", "image-classification", "vision"], "datasets": ["Pranavkpba2000/skin_cancer_dataset"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_image... | NeuronZero/SkinCancerClassifier | null | [
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|
# SkinCancer-Classifier(small-sized model)
SkinCancer-Classifier is a fine-tuned version of swin-base. It was introduced in this paper by Liu et al. and first released in this repository.
It was fine tuned on this dataset.
## Model description
The Swin Transformer is a type of Vision Transformer. It builds hierarc... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/wenbopan/Faro-Yi-9B-200K
<!-- provided-files -->
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... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"], "base_model": "wenbopan/Faro-Yi-9B-200K", "quantized_by": "mradermacher"} | mradermacher/Faro-Yi-9B-200K-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-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712062541365x246088705178451940
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:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["RickGrimes001/pretoebranco"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1712062541365x246088705178451940 | null | [
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"region:us"
] | null | 2024-04-02T12:55:53+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-RickGrimes001/pretoebranco #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712062541365x246088705178451940
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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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/qz3nmfi | null | [
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | null | ---
license: MIT
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-Instruct-v0.1
- model: scb10x/typhoon-7b
- model: SeaLLMs/SeaLLM-7B-v2
merge_method: model_stock
base_model: mistralai/Mistral-7B-Instruct-v0.1
dtype: bfloat16
```
## 💻 Usage
```python
!pip install -qU t... | {} | Ksgk-fy/Tymee-7B-test02 | null | [
"region:us"
] | null | 2024-04-02T13:03:05+00:00 | [] | [] | TAGS
#region-us
| ---
license: MIT
## Configuration
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sravaniayyagari/feb28-apr-dup-new-tuned-model | null | [
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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. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | kantii/donut-base-sroie | null | [
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the SROIE dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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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. -->
# pile_t5_base_docstring
This model is a fine-tuned version of [EleutherAI/pile-t5-base](https://huggingface.co/EleutherAI/pile-t5... | {"language": ["en"], "tags": ["generated_from_trainer"], "datasets": ["juraj-juraj/python-docstring-human-gpt-generated-mix"], "metrics": ["bleu"], "base_model": "EleutherAI/pile-t5-base", "model-index": [{"name": "pile_t5_base_docstring", "results": [{"task": {"type": "translation", "name": "Translation"}, "dataset": ... | juraj-juraj/pile_t5_base_docstring | null | [
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|
# pile_t5_base_docstring
This model is a fine-tuned version of EleutherAI/pile-t5-base on the juraj-juraj/python-docstring-human-gpt-generated-mix dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.0
- Gen Len: 256.0
## Model description
More information needed
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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": []} | vardhanam/Mistral_Product_Whiz_Lora | null | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.5295487642288208
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precision: 0.0
recall: 0.0
auc: 1.0
accuracy: 0.75
| {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-s2tfh-shivj5l/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | shiv2050/autotrain-s2tfh-shivj5l | null | [
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- Problem type: Text Classification
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/R136a1/TimeLess-20B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/TimeLess-20B-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke... | {"language": ["en"], "library_name": "transformers", "tags": ["not-for-all-audiences"], "base_model": "R136a1/TimeLess-20B", "quantized_by": "mradermacher"} | mradermacher/TimeLess-20B-i1-GGUF | null | [
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-----
weighted/imatrix quants of URL
static quants are available at URL
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-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/fl4mpi3 | 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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- Shared by [optional]:
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Ru ORD 0.4 - Mizoru
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/wh... | {"language": ["ru"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Ru ORD 0.4 - Mizoru ", "results": []}]} | mizoru/whisper-small-ru-ORD_0.4_0.1 | null | [
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| Whisper Small Ru ORD 0.4 - Mizoru
=================================
This model is a fine-tuned version of openai/whisper-small on the ORD\_0.4 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0157
* Wer: 47.4481
* Cer: 27.9353
* Clean Wer: 38.8041
* Clean Cer: 22.5075
Model description
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Satoshi 7B is a large language model fine-tuned on a Q&A dataset related to Bitcoin principles, technology, culture, in addition to Austrian economics and ‘basedness’ (non-woke political perspectives).
This is a conversational... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finance", "bitcoin", "Austrian economics", "economics"], "pipeline_tag": "text-generation"} | LaierTwoLabsInc/Satoshi-7B | null | [
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|
# Model Card for Model ID
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null | transformers |
# Uploaded model
- **Developed by:** Mollel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
# Inference With Inference with HuggingFace transformers
```py... | {"language": ["en", "sw"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | Mollel/Gemma_Swahili_Mollel_1_epoch | null | [
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# Uploaded model
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- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
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# Inference With Inference with HuggingFace transformers
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/eu0tjy2 | 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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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. -->
# distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-wikitext2", "results": []}]} | rayy1111/distilroberta-base-finetuned-wikitext2 | null | [
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| distilroberta-base-finetuned-wikitext2
======================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9132
Model description
-----------------
More information needed
Intended uses & limi... | [
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null | transformers |
# Uploaded model
- **Developed by:** Mollel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | Mollel/Gemma_Swahili_Mollel_1_epch | null | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712063687890x664632431632669300
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:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["TheAkiramaster/DesenhoaLapis"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1712063687890x664632431632669300 | null | [
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|
# LoRA DreamBooth - squaadinc/1712063687890x664632431632669300
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.
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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. -->
# falcon7binstruct
This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](https://huggingface.co/vilso... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "vilsonrodrigues/falcon-7b-instruct-sharded", "model-index": [{"name": "falcon7binstruct", "results": []}]} | bosbos/falcon7binstruct | null | [
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|
# falcon7binstruct
This model is a fine-tuned version of vilsonrodrigues/falcon-7b-instruct-sharded on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.42334219813346863
f1: 1.0
precision: 1.0
recall: 1.0
auc: 1.0
accuracy: 1.0
| {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-btsw0-shiv/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | shiv2050/autotrain-btsw0-shiv | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.42334219813346863
f1: 1.0
precision: 1.0
recall: 1.0
auc: 1.0
accuracy: 1.0
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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": []} | Likich/falcon-finetune-qualcoding | 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... | {"license": "apache-2.0", "library_name": "transformers"} | rrw-x2/KoSOLAR-10.7B-v2.0 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_durin-ian-imdb-v0
This model is a fine-tuned version of [stanford-crfm/durin-gpt2-medium-x343](https://huggingface.co... | {"tags": ["generated_from_trainer"], "base_model": "stanford-crfm/durin-gpt2-medium-x343", "model-index": [{"name": "robust_llm_durin-ian-imdb-v0", "results": []}]} | AlignmentResearch/robust_llm_durin-ian-imdb-v0 | null | [
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|
# robust_llm_durin-ian-imdb-v0
This model is a fine-tuned version of stanford-crfm/durin-gpt2-medium-x343 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/9ugk7ti | null | [
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text-generation | transformers | # Neuronx for [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) - Updated Mistral 7B Model on [AWS Inferentia2](https://aws.amazon.com/ec2/instance-types/inf2/) Using AWS Neuron SDK version 2.18~
This model has been exported to the `neuron` format using specific `input_sha... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "inferentia2", "neuron", "neuronx"], "pipeline_tag": "text-generation", "inference": false} | davidshtian/Mistral-7B-Instruct-v0.2-neuron-1x2048-24-cores-2.18 | null | [
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This model has been exported to the 'neuron' format using specific 'input_shapes' and 'compiler' parameters detailed in the paragraphs below.
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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. -->
# robust_llm_beren-ian-imdb-v0
This model is a fine-tuned version of [stanford-crfm/beren-gpt2-medium-x49](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "base_model": "stanford-crfm/beren-gpt2-medium-x49", "model-index": [{"name": "robust_llm_beren-ian-imdb-v0", "results": []}]} | AlignmentResearch/robust_llm_beren-ian-imdb-v0 | null | [
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"region:us"
] | null | 2024-04-02T13:24:27+00:00 | [] | [] | TAGS
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|
# robust_llm_beren-ian-imdb-v0
This model is a fine-tuned version of stanford-crfm/beren-gpt2-medium-x49 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_buff66e4 | null | [
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#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with S... | [
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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. -->
# robust_llm_celebrimbor-ian-imdb-v0
This model is a fine-tuned version of [stanford-crfm/celebrimbor-gpt2-medium-x81](https://hug... | {"tags": ["generated_from_trainer"], "base_model": "stanford-crfm/celebrimbor-gpt2-medium-x81", "model-index": [{"name": "robust_llm_celebrimbor-ian-imdb-v0", "results": []}]} | AlignmentResearch/robust_llm_celebrimbor-ian-imdb-v0 | null | [
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|
# robust_llm_celebrimbor-ian-imdb-v0
This model is a fine-tuned version of stanford-crfm/celebrimbor-gpt2-medium-x81 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Undi95/PsyMedRP-v1-20B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/PsyMedRP-v1-20B-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [Th... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "base_model": "Undi95/PsyMedRP-v1-20B", "quantized_by": "mradermacher"} | mradermacher/PsyMedRP-v1-20B-i1-GGUF | null | [
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| 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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