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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-large-cnn-finetuned-xsum
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/ba... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-large-cnn-finetuned-xsum", "results": []}]} | Ahmed235/bart-large-cnn-finetuned-xsum | null | [
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| bart-large-cnn-finetuned-xsum
=============================
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7906
* Rouge1: 31.4003
* Rouge2: 12.0156
* Rougel: 22.8732
* Rougelsum: 23.8269
* Gen Len: 65.3575
Model... | [
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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. -->
# medalpaca-13b_both_n1800
This model is a fine-tuned version of [medalpaca/medalpaca-13b](https://huggingface.co/medalpaca/medalp... | {"license": "cc", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "medalpaca/medalpaca-13b", "model-index": [{"name": "medalpaca-13b_both_n1800", "results": []}]} | th135/medalpaca-13b_both_n1800_run1 | null | [
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#peft #safetensors #llama #generated_from_trainer #base_model-medalpaca/medalpaca-13b #license-cc #region-us
|
# medalpaca-13b_both_n1800
This model is a fine-tuned version of medalpaca/medalpaca-13b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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null | transformers |
# Uploaded model
- **Developed by:** feliphe-galiza
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | feliphe-galiza/llama-3-1C.spanish-hypernyms | null | [
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# Uploaded model
- Developed by: feliphe-galiza
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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/mistralai/Mixtral-8x22B-Instruct-v0.1
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Mix... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "mistralai/Mixtral-8x22B-Instruct-v0.1", "quantized_by": "mradermacher"} | mradermacher/Mixtral-8x22B-Instruct-v0.1-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
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(sorted by size, not necessarily quality. ... | [] | [
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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": []} | javijer/llama2_custom_pii_13b | 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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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaPickAndPlace-v3**
This is a trained model of a **A2C** agent playing **PandaPickAndPlace-v3**
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 hugg... | {"library_name": "stable-baselines3", "tags": ["PandaPickAndPlace-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaPickAndPlace-v3", "ty... | conlan/a2c-PandaPickAndPlace-v3 | null | [
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#stable-baselines3 #PandaPickAndPlace-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaPickAndPlace-v3
This is a trained model of a A2C agent playing PandaPickAndPlace-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text-generation | null |
# Quant Infos
- quants done with an importance matrix for improved quantization loss
- K & IQ quants in basically all variants
- fixed end token for instruct mode (<|eot_id|>[128009])
- files larger than 50GB were split using the gguf-split utility, just download all parts and point llama.cpp to the first one (00001-... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "gguf", "imatrix", "importance matrix"], "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | qwp4w3hyb/Meta-Llama-3-70B-Instruct-iMat-GGUF | null | [
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| Quant Infos
===========
* quants done with an importance matrix for improved quantization loss
* K & IQ quants in basically all variants
* fixed end token for instruct mode (<|eot\_id|>[128009])
* files larger than 50GB were split using the gguf-split utility, just download all parts and point URL to the first one (0... | [
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null | null | <img src="https://i.imgur.com/P68dXux.png" width="400"/>
# llama3-42b-v0-iMat-GGUF
Quantized from fp32 with love. All credits to [Charles Goddard](https://huggingface.co/chargoddard) for the original model.
* Weighted quantizations were calculated using groups_merged.txt with 105 chunks (recommended amount for this... | {"tags": ["gguf", "llama3", "iMat"]} | InferenceIllusionist/llama3-42b-v0-iMat-GGUF | null | [
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| <img src="https://i.URL width="400"/>
# llama3-42b-v0-iMat-GGUF
Quantized from fp32 with love. All credits to Charles Goddard for the original model.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | rebeccaD/TMO-Chatbot-Phi2-Merged | null | [
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## Model Details
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text-generation | transformers | Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [meta-llama/Meta-Llama-3-8B-Instruct
](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
For this quantization, we used 1 codebook of 16 bits.
Results:
| Model | Quantization | MMLU (5-shot) | GSM8k (8-shot) | ArcC| ArcE| Hellaswag | W... | {"library_name": "transformers", "tags": ["llama", "facebook", "meta", "llama-3", "conversational", "text-generation-inference"]} | ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16 | null | [
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| Official AQLM quantization of meta-llama/Meta-Llama-3-8B-Instruct
.
For this quantization, we used 1 codebook of 16 bits.
Results:
UPD 02.05.2024
The version of model with improved fine-tuning 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": []} | Grayx/sad_llama_22.0 | null | [
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|
# Model Card for Model ID
## Model Details
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.16-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparam... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.16-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.16-DPO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.16-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
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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": []} | MehdiHosseiniMoghadam/AVA-Llama-3 | 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 |
# Uploaded model
- **Developed by:** EdBerg
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | EdBerg/llama3-8b-oig-unsloth-merged | null | [
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# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# style-treasury-from-facebook
This model is a fine-tuned version of [facebook/opt-2.7b](https://huggingface.co/facebook/opt-2.7b)... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "facebook/opt-2.7b", "model-index": [{"name": "style-treasury-from-facebook", "results": []}]} | RuoxiL/style-treasury-from-facebook | null | [
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"base_model:facebook/opt-2.7b",
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-facebook/opt-2.7b #license-other #region-us
|
# style-treasury-from-facebook
This model is a fine-tuned version of facebook/opt-2.7b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
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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. -->
# style-mixed-from-mistral
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mist... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "style-mixed-from-mistral", "results": []}]} | RuoxiL/style-mixed-from-mistral | null | [
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|
# style-mixed-from-mistral
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### 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": []} | tomaszki/llama-4 | 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 | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.17-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparam... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.17-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.17-DPO | null | [
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# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.17-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment on DPO with other hyperparameters and best SFT m... | [
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text-generation | transformers |
16-bit version of weights from `PharMolix/BioMedGPT-LM-7B`, for easier download / finetuning / model-merging
Code
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
m2 = AutoModelForCausalLM.from_pretrained("PharMolix/BioMedGPT-LM-7B",
torch... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "PharMolix/BioMedGPT-LM-7B"} | monsoon-nlp/BioMedGPT-16bit | null | [
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|
16-bit version of weights from 'PharMolix/BioMedGPT-LM-7B', for easier download / finetuning / model-merging
Code
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] |
text-generation | transformers |
# Medical-Llama3-8B-16bit: Fine-Tuned Llama3 for Medical Q&A
[](https://ruslanmv.com/)
This repository provides a fine-tuned version of the powerful Llama3 8B model, specifically designed to answer medical questions in an informative way. It leverages the rich knowledge contained in the AI Medical Chatb... | {"language": "en", "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "ruslanmv", "llama", "trl"], "datasets": ["ruslanmv/ai-medical-chatbot"], "base_model": "meta-llama/Meta-Llama-3-8B"} | ruslanmv/Medical-Llama3-8B | null | [
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|
# Medical-Llama3-8B-16bit: Fine-Tuned Llama3 for Medical Q&A
![](URL
This repository provides a fine-tuned version of the powerful Llama3 8B model, specifically designed to answer medical questions in an informative way. It leverages the rich knowledge contained in the AI Medical Chatbot dataset (ruslanmv/ai-medical-c... | [
"# Medical-Llama3-8B-16bit: Fine-Tuned Llama3 for Medical Q&A\n![](URL\nThis repository provides a fine-tuned version of the powerful Llama3 8B model, specifically designed to answer medical questions in an informative way. It leverages the rich knowledge contained in the AI Medical Chatbot dataset (ruslanmv/ai-med... | [
"TAGS\n#transformers #pytorch #llama #text-generation #text-generation-inference #ruslanmv #trl #en #dataset-ruslanmv/ai-medical-chatbot #base_model-meta-llama/Meta-Llama-3-8B #license-apache-2.0 #autotrain_compatible #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": []} | tomaszki/llama-4-a | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"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):
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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="jeliasherrero/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add addition... | {"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": ... | jeliasherrero/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
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"model-index",
"region:us"
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | franciscobdl/EstigiaTest | null | [
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] | null | 2024-04-21T21:09:19+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain #text-generation-inference #peft #conversational #license-other #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# 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": []} | tomaszki/llama-4-b | 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]:
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- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="jeliasherrero/taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False et... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/- ... | jeliasherrero/taxi-v3 | null | [
"Taxi-v3",
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"custom-implementation",
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
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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. -->
# flant5-base-final
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flant5-base-final", "results": []}]} | dtruong46me/flant5-base-final | null | [
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| flant5-base-final
=================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/eponaMix_v30 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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/allenai/tulu-v1-llama2-70b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/tulu-v1-llama2... | {"language": ["en"], "library_name": "transformers", "datasets": ["allenai/tulu-v1-sft-mixture"], "base_model": "allenai/tulu-v1-llama2-70b", "quantized_by": "mradermacher"} | mradermacher/tulu-v1-llama2-70b-i1-GGUF | null | [
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-----
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
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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": []} | domenicrosati/decoding_trust_attack_6e5 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mixtral-8x7B-Instruct-v0.1"} | gjonxpr/ChristianMixtral | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mixtral-8x7B-Instruct-v0.1 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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feature-extraction | transformers |
# Model Card for Model ID
Model based on `facebook/opt-125m` trained on small dataset to generate music from old games in midi format.
## Usage
```
!pip install miditok==3.0.2
from transformers import AutoModel, AutoModelForCausalLM
from miditok import MIDITokenizer
tokenizer = MIDITokenizer.from_pretrained('lklimk... | {"library_name": "transformers", "tags": []} | klima7/midi-ganerator-game | null | [
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"region:us"
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#transformers #safetensors #opt #feature-extraction #custom_code #text-generation-inference #region-us
|
# Model Card for Model ID
Model based on 'facebook/opt-125m' trained on small dataset to generate music from old games in midi format.
## Usage
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null | null |
# This is a GGUF mmproj split and converted from this model: https://huggingface.co/weizhiwang/LLaVA-Llama-3-8B
This file does work, but since it is based on the Llava 1.5 data it is often not as accurate as one would hope. This is the first GGUF mmproj file created for Llama 3 models. Chaotic Neutrals is dedicated t... | {"license": "apache-2.0"} | ChaoticNeutrals/Llava_1.5_Llama3_mmproj-outdated | null | [
"gguf",
"license:apache-2.0",
"region:us"
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#gguf #license-apache-2.0 #region-us
|
# This is a GGUF mmproj split and converted from this model: URL
This file does work, but since it is based on the Llava 1.5 data it is often not as accurate as one would hope. This is the first GGUF mmproj file created for Llama 3 models. Chaotic Neutrals is dedicated to bringing the best multimodal experience to ou... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Yasusan/llama0.3B_sft_gcp2 | null | [
"transformers",
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"text-generation",
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"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#transformers #safetensors #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 | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2_Sparql
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.c... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_Sparql", "results": []}]} | farhadali/Mistral-7B-Instruct-v0.2_Sparql | null | [
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|
# Mistral-7B-Instruct-v0.2_Sparql
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
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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": []} | ahmed807762/DialoGPT-vetdataset-finetuned-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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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/sad_llama_23.0 | 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]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Yasusan/llama0.3B_sft_gcp2_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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistral-community/Mistral-7B-v0.2", "model-index": [{"name": "out", "results": []}]} | MatthieuO/Mistroll-v0.1 | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
out
===
This model is a fine-tuned version of mistral-community/Mistral-7B-v0.2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1296
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* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 16\n... | [
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text-generation | transformers |
big thanks to lore for the 8xH100 gpus
## awq
zero point, 128 group size, 4 bit gemm
## training
base model is meta llama 3 8b instruct
trained on pippa then i trained that model on limarp, both at 32k context for 2 epochs each
## gen settings
i would **start with** every sampler off and **temperature at 1 and j... | {"datasets": ["PygmalionAI/PIPPA", "lemonilia/LimaRP"]} | ludis/tsukasa-llama-3-8b-qlora-awq | null | [
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"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-21T21:40:36+00:00 | [] | [] | TAGS
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|
big thanks to lore for the 8xH100 gpus
## awq
zero point, 128 group size, 4 bit gemm
## training
base model is meta llama 3 8b instruct
trained on pippa then i trained that model on limarp, both at 32k context for 2 epochs each
## gen settings
i would start with every sampler off and temperature at 1 and just ma... | [
"## awq\n\nzero point, 128 group size, 4 bit gemm",
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null | null |
big thanks to lore for the 8xH100 gpus
## gguf
little endian
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big thanks to lore for the 8xH100 gpus
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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. -->
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
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null | transformers |
# Model Card for Model ID
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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-swahili
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| whisper-small-swahili
=====================
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: 0.6821
* Wer: 34.9438
Model description
-----------------
More information needed
Intended uses & limitat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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null | null |
# Experiment27pasticheMeliodas-7B
Experiment27pasticheMeliodas-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: automerger/Experiment27Pastiche-7B
- model: Au... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Experiment27pasticheMeliodas-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"region:us"
] | null | 2024-04-21T22:00:40+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Experiment27pasticheMeliodas-7B
Experiment27pasticheMeliodas-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** simecek
- **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/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | simecek/law_summarizer | null | [
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"license:apache-2.0",
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|
# Uploaded model
- Developed by: simecek
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Edgar404/donut-shivi-cheques_lora_r8 | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# Jesmin-8b
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) ... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "Jesmin-8b", "results": []}]} | Simul007/Jesmin-8b | null | [
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|
# Jesmin-8b
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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text-generation | transformers |
big thanks to lore for the 8xH100 gpus
## training
base model is meta llama 3 8b instruct
trained on pippa then i trained that model on limarp, both at 32k context for 2 epochs each
## gen settings
i would **start with** every sampler off and **temperature at 1 and just make min p 0.05**, i got good prompts from t... | {"datasets": ["PygmalionAI/PIPPA", "lemonilia/LimaRP"]} | ludis/tsukasa-llama-3-8b-qlora | null | [
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|
big thanks to lore for the 8xH100 gpus
## training
base model is meta llama 3 8b instruct
trained on pippa then i trained that model on limarp, both at 32k context for 2 epochs each
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null | transformers | # LLaMA3 License and Usage
## Introduction
The LLaMA3 model is equipped to deliver superior results in machine learning applications. This model is particularly effective when used in conjunction with the IF_AI_tools custom node for ComfyUI and the IF_PromptMKr, m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | impactframes/llama3_ifai_sdpromptmkr_q8_gguf | null | [
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| # LLaMA3 License and Usage
!Model Visualization
## Introduction
The LLaMA3 model is equipped to deliver superior results in machine learning applications. This model is particularly effective when used in conjunction with the IF_AI_tools custom node for ComfyUI and the IF_PromptMKr, my extension for A1111 Forge and Nex... | [
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text-generation | transformers |
# Saiga – Llama 3 8B – OmniQuant
Based on [Saiga Llama 3 8B](https://huggingface.co/IlyaGusev/saiga_llama3_8b).
Quantized with [OmniQuant](https://github.com/OpenGVLab/OmniQuant).
## Evaluation
### PPL (↓)
| | wiki |
| ------------- | ----- |
| FP | 7,862 |
| **Quantized** | 8,615 |
... | {"language": ["ru"], "license": "other", "tags": ["saiga", "llama3", "omniquant", "gptq", "triton"], "base_model": "IlyaGusev/saiga_llama3_8b", "model_type": "llama", "pipeline_tag": "text-generation", "quantized_by": "Compressa", "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license"} | compressa-ai/Saiga-Llama-3-8B-OmniQuant | null | [
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| Saiga – Llama 3 8B – OmniQuant
==============================
Based on Saiga Llama 3 8B.
Quantized with OmniQuant.
Evaluation
----------
### PPL (↓)
### Accuracy on English Benchmarks, % (↑)
### Accuracy on Russian Benchmarks, % (↑)
### Summary
Examples
--------
### Imports and Model Loading
Ex... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-llama7 | 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 |
# llama-3-bophades-v2-8B
This model is based on Llama-3-8b, and is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](LICENSE)
[llama-3-sauce-v1-8B](https://huggingface.co/nbeerbower/nbeerbower/llama-3-sauce-v1-8B) fin... | {"license": "other", "library_name": "transformers", "datasets": ["jondurbin/truthy-dpo-v0.1", "kyujinpy/orca_math_dpo"], "base_model": ["nbeerbower/llama-3-sauce-v1-8B"], "license_name": "llama3"} | nbeerbower/llama-3-bophades-v2-8B | null | [
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|
!image/png
# llama-3-bophades-v2-8B
This model is based on Llama-3-8b, and is governed by META LLAMA 3 COMMUNITY LICENSE AGREEMENT
llama-3-sauce-v1-8B finetuned on jondurbin/truthy-dpo-v0.1 and kyujinpy/orca_math_dpo.
### Method
Finetuned using an A100 on Google Colab.
Fine-tune a Mistral-7b model with Direct P... | [
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null | transformers |
# Uploaded model
- **Developed by:** EdBerg
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | EdBerg/llama3-8b-oig-unsloth | null | [
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|
# Uploaded model
- Developed by: EdBerg
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mlinmg/SG-Raccoon-Yi-55B-200k
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/SG-Raccoon-... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "mlinmg/SG-Raccoon-Yi-55B-200k", "license_link": "https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE", "license_name": "yi-license", "quantized_by": "mradermacher"} | mradermacher/SG-Raccoon-Yi-55B-200k-GGUF | null | [
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"en"
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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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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nicolasdec/CabraLlama3-8b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "cc", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "llama", "gguf", "brazil", "brasil", "8b", "portuguese"], "base_model": "nicolasdec/CabraLlama3-8b", "quantized_by": "mradermacher"} | mradermacher/CabraLlama3-8b-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
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If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://www.astronomer.io/logo/astronomer-logo-RGB-standard-1200px.png" alt="Astronomer" style="width: 60%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="margin-top: 1.0em; margin-bott... | {"license": "other", "tags": ["llama", "llama-3", "facebook", "meta", "astronomer", "gptq", "pretrained", "quantized", "finetuned", "autotrain_compatible", "endpoints_compatible"], "datasets": ["wikitext"], "model_name": "Meta-Llama-3-8B", "base_model": "meta-llama/Meta-Llama-3-8B", "inference": false, "model_creator":... | astronomer/Llama-3-8B-GPTQ-8-Bit | null | [
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|
This model is generously created and made open source by [Astronomer](URL).
Astronomer is the de facto company for [Llama-3-8B-GPTQ-8-Bit
=====================
* Original Model creator: Meta Llama from Meta
* Original model: meta-llama/Meta-Llama-3-8B
* Built with Meta Llama 3
* Quantized by David ... | [
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text-to-image | diffusers |
# Emi 2 Model Card
# はじめに
Emi 2 (Ethereal master of illustration 2) は、
最先端の開発機材H100を用いた画像生成Emiを用いて
AI Picasso社が開発したAIアートに特化した画像生成AIです。
このモデルの特徴として、Danbooruなどにある無断転載画像を学習していないことがあげられます。
# 使い方
[ここ](https://huggingface.co/spaces/aipicasso/emi-2-demo)からデモを利用することができます。
本格的に利用する人は[ここ](emi-2.... | {"license": "openrail++", "library_name": "diffusers", "tags": ["stable-diffusion", "text-to-image"], "inference": false} | aipicasso/emi-2 | null | [
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|
# Emi 2 Model Card
!URL
# はじめに
Emi 2 (Ethereal master of illustration 2) は、
最先端の開発機材H100を用いた画像生成Emiを用いて
AI Picasso社が開発したAIアートに特化した画像生成AIです。
このモデルの特徴として、Danbooruなどにある無断転載画像を学習していないことがあげられます。
# 使い方
ここからデモを利用することができます。
本格的に利用する人はここからモデルをダウンロードできます。
# シンプルな作品例
!example_1.jpg
!example_2.png
!example_3.jpg
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://www.astronomer.io/logo/astronomer-logo-RGB-standard-1200px.png" alt="Astronomer" style="width: 60%; min-width: 400px; display: block; margin: auto;">
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<div style="margin-top: 1.0em; margin-bott... | {"license": "other", "tags": ["llama", "llama-3", "facebook", "meta", "astronomer", "gptq", "pretrained", "quantized", "finetuned", "autotrain_compatible", "endpoints_compatible"], "datasets": ["wikitext"], "model_name": "Meta-Llama-3-8B", "base_model": "meta-llama/Meta-Llama-3-8B", "inference": false, "model_creator":... | astronomer/Llama-3-8B-GPTQ-4-Bit | null | [
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"... | null | 2024-04-21T22:18:36+00:00 | [
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|
This model is generously created and made open source by [Astronomer](URL).
Astronomer is the de facto company for [Llama-3-8B-GPTQ-8-Bit
=====================
* Original Model creator: Meta Llama from Meta
* Original model: meta-llama/Meta-Llama-3-8B
* Built with Meta Llama 3
* Quantized by David ... | [
"### Contributors\n\n\n* Quantized by David Xue, Machine Learning Engineer from Astronomer](URL Airflow</a>, the most trusted open-source framework for data orchestration and MLOps.</p></div>\n<hr style=)"
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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": "mistralai/Mixtral-8x7B-Instruct-v0.1"} | gjonxpr/CMixtralv1 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mixtral-8x7B-Instruct-v0.1",
"region:us"
] | null | 2024-04-21T22:21:01+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mixtral-8x7B-Instruct-v0.1 #region-us
|
# 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:
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | HWatervalley/TiToHe_mistral_model | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-10k_25_tok_5e_no_quant
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral-7b-10k_25_tok_5e_no_quant", "results": []}]} | Mitrofazotron/mistral-7b-10k_25_tok_5e_no_quant | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
] | null | 2024-04-21T22:29:30+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# mistral-7b-10k_25_tok_5e_no_quant
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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"## Training and evaluation data\n\nMore 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": []} | VisionForge/Alien-8B-v0.2-DPO | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# modal-test
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Ll... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "modal-test", "results": []}]} | kyryl-opens-ml/modal-test | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# modal-test
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
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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": []} | domenicrosati/decoding_trust_attack_8e5 | 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 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_ablation_4iters_bs256_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingfac... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0001_ablation_4iters_bs256_iter_1", "results": []}]} | ShenaoZ/0.0001_ablation_4iters_bs256_iter_1 | null | [
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|
# 0.0001_ablation_4iters_bs256_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informati... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_sample3_4iters_bs256_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggi... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_ablation_sample3_4iters_bs256_iter_1", "results": []}]} | ZhangShenao/0.0_ablation_sample3_4iters_bs256_iter_1 | null | [
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|
# 0.0_ablation_sample3_4iters_bs256_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More info... | [
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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": []} | 0x0son0/x_1 | 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]:
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_6iters_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_6iters_iter_1](https://huggingface.co... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_6iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_6iters_iter_1", "model-index": [{"name": "0.0_ablation_6iters_iter_2", "results": []}]} | ZhangShenao/0.0_ablation_6iters_iter_2 | null | [
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"base_model:ZhangShenao/0.0_ablation_6iters_iter_1",
"license:mit",
"autotrain_compatible",
"endpo... | null | 2024-04-21T22:36:38+00:00 | [] | [] | TAGS
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# 0.0_ablation_6iters_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_6iters_iter_1 on the ZhangShenao/0.0_ablation_6iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information... | [
"# 0.0_ablation_6iters_iter_2\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_6iters_iter_1 on the ZhangShenao/0.0_ablation_6iters_dataset dataset.",
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null | null | # llama-3-42b-v0 imatrix gguf
[chargoddard/llama-3-42b-v0](https://huggingface.co/chargoddard/llama3-42b-v0)
imatrix generated from [wikitext2](https://huggingface.co/datasets/wikitext) test split with fp16 model
Final estimate: PPL = 7.1996 +/- 0.04519
| {} | NyxKrage/llama3-42b-v0-imat-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-21T22:36:41+00:00 | [] | [] | TAGS
#gguf #region-us
| # llama-3-42b-v0 imatrix gguf
chargoddard/llama-3-42b-v0
imatrix generated from wikitext2 test split with fp16 model
Final estimate: PPL = 7.1996 +/- 0.04519
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] |
null | null |
# psmathur/orca_mini_v3_13b
psmathur/orca_mini_v3_13b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [psmathur/orca_mini_v3_13b](https://huggingface.co/psmathur/orca_mini_v3_13b)
* [WizardLM/WizardLM-13B-V1.2](https://huggingface.co/WizardLM/WizardLM-13B-V1.2)
* [garage-bAIn... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "psmathur/orca_mini_v3_13b", "WizardLM/WizardLM-13B-V1.2", "garage-bAInd/Platypus2-13B"]} | r-elframawy31/orca_mini_v3_13b | null | [
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"mergekit",
"lazymergekit",
"psmathur/orca_mini_v3_13b",
"WizardLM/WizardLM-13B-V1.2",
"garage-bAInd/Platypus2-13B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-21T22:38:13+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #psmathur/orca_mini_v3_13b #WizardLM/WizardLM-13B-V1.2 #garage-bAInd/Platypus2-13B #license-apache-2.0 #region-us
|
# psmathur/orca_mini_v3_13b
psmathur/orca_mini_v3_13b is a merge of the following models using mergekit:
* psmathur/orca_mini_v3_13b
* WizardLM/WizardLM-13B-V1.2
* garage-bAInd/Platypus2-13B
## Configuration
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text-classification | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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text-generation | transformers |
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null | transformers |
# Model Card for Model ID
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null | peft |
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null | peft |
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visual-question-answering | transformers |
# Model Card for InternVL-Chat-V1.5
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> _Two interns holding hands, symbolizing the integration of InternViT and InternLM._
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null | transformers |
# Uploaded model
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text-generation | transformers |
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_ChatGPT_tiny_Seed101 | null | [
"peft",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
] | null | 2024-04-21T22:48:23+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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"# Model Card for Model ID",
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_ChatGPT_tiny_Seed101 | null | [
"peft",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
] | null | 2024-04-21T22:48:28+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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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... | APLunch/Reinforce-Pixelcopter | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-21T22:52:08+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",
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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... |
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"]} | yy1636/SoccerTwos | null | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | null | 2024-04-21T22:54:08+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# 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:
- A *short tutorial* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short ... | [
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object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | RandomCatLover/detr | null | [
"transformers",
"tensorboard",
"safetensors",
"detr",
"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T22:58:39+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
|
# detr
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The foll... | [
"# detr\n\nThis model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Trai... | [
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"# detr\n\nThis model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.",
"## Model description\n\n... | [
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"TAGS\n#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us \n# detr\n\nThis model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.## Model description\n\nMore informa... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ajibawa-2023/General-Stories-Mistral-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["story", "art", "general audience", "knowledge"], "datasets": ["ajibawa-2023/General-Stories-Collection"], "base_model": "ajibawa-2023/General-Stories-Mistral-7B", "quantized_by": "mradermacher"} | mradermacher/General-Stories-Mistral-7B-GGUF | null | [
"transformers",
"gguf",
"story",
"art",
"general audience",
"knowledge",
"en",
"dataset:ajibawa-2023/General-Stories-Collection",
"base_model:ajibawa-2023/General-Stories-Mistral-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T23:00:36+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #story #art #general audience #knowledge #en #dataset-ajibawa-2023/General-Stories-Collection #base_model-ajibawa-2023/General-Stories-Mistral-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... | [] | [
"TAGS\n#transformers #gguf #story #art #general audience #knowledge #en #dataset-ajibawa-2023/General-Stories-Collection #base_model-ajibawa-2023/General-Stories-Mistral-7B #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_5iters_bs256_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_5iters_bs256_iter_1](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_5iters_bs256_iter_1", "model-index": [{"name": "0.001_ablation_5iters_bs256_iter_2", "results": []}]} | ShenaoZ/0.001_ablation_5iters_bs256_iter_2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:updated",
"dataset:original",
"base_model:ShenaoZ/0.001_ablation_5iters_bs256_iter_1",
"license:mit",
"autotrain_compatible",
"endpoints_c... | null | 2024-04-21T23:03:25+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZ/0.001_ablation_5iters_bs256_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.001_ablation_5iters_bs256_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
"# 0.001_ablation_5iters_bs256_iter_2\n\nThis model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_iter_1 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data... | [
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null | transformers |
# Aryanne/Mistral-7B-Instruct-v0.2-sliced-24-layer-Q3_K_M-GGUF
This model was converted to GGUF format from [`arcee-ai/Mistral-7B-Instruct-v0.2-sliced-24-layer`](https://huggingface.co/arcee-ai/Mistral-7B-Instruct-v0.2-sliced-24-layer) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai", "llama-cpp", "gguf-my-repo"], "datasets": ["arcee-ai/sec-data-mini"]} | Aryanne/Mistral-7B-Instruct-v0.2-sliced-24-layer-Q3_K_M-GGUF | null | [
"transformers",
"gguf",
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"#arcee-ai",
"llama-cpp",
"gguf-my-repo",
"dataset:arcee-ai/sec-data-mini",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T23:04:15+00:00 | [] | [] | TAGS
#transformers #gguf ##mergekit ##arcee-ai #llama-cpp #gguf-my-repo #dataset-arcee-ai/sec-data-mini #endpoints_compatible #region-us
|
# Aryanne/Mistral-7B-Instruct-v0.2-sliced-24-layer-Q3_K_M-GGUF
This model was converted to GGUF format from 'arcee-ai/Mistral-7B-Instruct-v0.2-sliced-24-layer' 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... | [
"# Aryanne/Mistral-7B-Instruct-v0.2-sliced-24-layer-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'arcee-ai/Mistral-7B-Instruct-v0.2-sliced-24-layer' 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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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. -->
# logs
This model is a fine-tuned version of [Rocketknight1/falcon-rw-1b](https://huggingface.co/Rocketknight1/falcon-rw-1b) on th... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Rocketknight1/falcon-rw-1b", "model-index": [{"name": "logs", "results": []}]} | suneeln-duke/logs | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:Rocketknight1/falcon-rw-1b",
"region:us"
] | null | 2024-04-21T23:10:00+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-Rocketknight1/falcon-rw-1b #region-us
| logs
====
This model is a fine-tuned version of Rocketknight1/falcon-rw-1b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8665
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 8\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": []} | VisionForge/Alien-8B-v1.6-DPO | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T23:10:39+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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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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:
* [meta-llama/Meta-Llama-3-8B-Instruct](https:... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct", "amazingvince/Not-WizardLM-2-7B"]} | mergekit-community/mergekit-slerp-idbupbn | 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:
* meta-llama/Meta-Llama-3-8B-Instruct
* amazingvince/Not-WizardLM-2-7B
### Configu... | [
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null | transformers | # LLaMA3 License and Usage
## Introduction
The LLaMA3 model is equipped to deliver superior results in machine learning applications. This model is particularly effective when used in conjunction with the IF_AI_tools custom node for ComfyUI and the IF_PromptMKr, m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | impactframes/llama3_ifai_sdpromptmkr_q5km_gguf | null | [
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| # LLaMA3 License and Usage
!Model Visualization
## Introduction
The LLaMA3 model is equipped to deliver superior results in machine learning applications. This model is particularly effective when used in conjunction with the IF_AI_tools custom node for ComfyUI and the IF_PromptMKr, my extension for A1111 Forge and Nex... | [
"# LLaMA3 License and Usage\n!Model Visualization",
"## Introduction\nThe LLaMA3 model is equipped to deliver superior results in machine learning applications. This model is particularly effective when used in conjunction with the IF_AI_tools custom node for ComfyUI and the IF_PromptMKr, my extension for A1111 F... | [
"TAGS\n#transformers #gguf #llama #text-generation-inference #unsloth #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# LLaMA3 License and Usage\n!Model Visualization",
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