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text-generation | transformers |
# Finetuned CodeGen for SQL Query Generation
## Model Description
This model is a fine-tuned version of the Salesforce CodeGen model with 350M parameters, specialized in generating SQL queries from plain English text descriptions. It leverages the power of large language models to understand natural language and... | {"language": ["en"], "license": "apache-2.0", "tags": ["nlp", "code-generation", "sql", "transformers", "finetuned-model"]} | ansumanpandey/codgen-finetuned-SQLQueryGeneration | null | [
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|
# Finetuned CodeGen for SQL Query Generation
## Model Description
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/OpenBuddy-openbuddy-openllama-7b-v12-bf16-bnb-4bit-smashed | null | [
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | blockblockblock/Starling-LM-10.7B-beta-bpw4.8 | null | [
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|
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | [
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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?"}]}]} | Drij/repo_name | 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 | 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": []} | dmcooller/neural-matia-ft-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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0404MP4
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0404MP4", "results": []}]} | Litzy619/V0404MP4 | null | [
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| V0404MP4
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1140
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/ybelkada-falcon-7b-sharded-bf16-bnb-8bit-smashed | null | [
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|
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
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text-to-speech | transformers |
# viⓍTTS
viⓍTTS là mô hình tạo sinh giọng nói cho phép bạn sao chép giọng nói sang các ngôn ngữ khác nhau chỉ bằng cách sử dụng một đoạn âm thanh nhanh dài 6 giây. Mô hình này được tiếp tục đào tạo từ mô hình [XTTS-v2.0.3](https://huggingface.co/coqui/XTTS-v2) bằng cách mở rộng tokenizer sang tiếng Việt và huấn luyện... | {"language": ["vi"], "license": "other", "datasets": ["capleaf/viVoice"], "license_name": "coqui-public-model-license", "license_link": "https://coqui.ai/cpml", "pipeline_tag": "text-to-speech"} | capleaf/viXTTS | null | [
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# viⓍTTS
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text-generation | transformers |
# FusedKuno
FusedKuno is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Nitral-AI/Kunocchini-7b-128k-test](https://huggingface.co/Nitral-AI/Kunocchini-7b-128k-test)
* [Virt-io/FuseChat-Kunoichi-10.7B](https://huggingface.... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Nitral-AI/Kunocchini-7b-128k-test", "Virt-io/FuseChat-Kunoichi-10.7B"], "base_model": ["Nitral-AI/Kunocchini-7b-128k-test", "Virt-io/FuseChat-Kunoichi-10.7B"]} | Ppoyaa/FusedKuno | null | [
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# FusedKuno
FusedKuno is a merge of the following models using LazyMergekit:
* Nitral-AI/Kunocchini-7b-128k-test
* Virt-io/FuseChat-Kunoichi-10.7B
## Configuration
## Usage
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/dbmdz-german-gpt2-bnb-4bit-smashed | null | [
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Alsebay/HyouKan-3x7B-V2-32k
<!-- 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 t... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["moe", "merge", "Roleplay"], "base_model": "Alsebay/HyouKan-3x7B-V2-32k", "quantized_by": "mradermacher"} | mradermacher/HyouKan-3x7B-V2-32k-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-finetuned-amazon
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/T... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-finetuned-amazon", "results": []}]} | Jashneet/mistral-finetuned-amazon | null | [
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|
# mistral-finetuned-amazon
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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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="yann-j/q-FrozenLake-v1-8x8-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"tags": ["FrozenLake-v1-8x8-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-8x8-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-8x8-no_slippery", "type": ... | yann-j/q-FrozenLake-v1-8x8-noSlippery | null | [
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#FrozenLake-v1-8x8-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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null | peft |
# 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": "t5-3b"} | geektech/t5-xl-lora-relation-gpt4 | null | [
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|
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### Model Description
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### Model Sources [optional]
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hs2496/mistralai-Ko-test | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": []}]} | RosePasta/distilbert-base-uncased-finetuned-emotion | null | [
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#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2232
* Accuracy: 0.922
* F1: 0.9219
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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": []} | Sirilkv5/my_model | 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 | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kangXn/enhi-tp-st | null | [
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# Model Card for Model ID
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### Model Description
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | blockblockblock/Starling-LM-10.7B-beta-bpw5 | null | [
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# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.
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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. -->
# ft_model
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the EBRC d... | {"language": ["ko"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["hyojin99/EBRC"], "base_model": "openai/whisper-small", "model-index": [{"name": "ft_model", "results": []}]} | hyojin99/whisper_small | null | [
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| ft\_model
=========
This model is a fine-tuned version of openai/whisper-small on the EBRC dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3381
* Cer: 12.0280
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More ... | [
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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="yann-j/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | yann-j/q-Taxi-v3 | null | [
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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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"]} | Ino4Dev/Llama_Trained_Inolabs | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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sentence-similarity | sentence-transformers |
# omarelsayeed/products_recm
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model beco... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | omarelsayeed/products_recm | null | [
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|
# omarelsayeed/products_recm
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# peft-starcoder-lora-a100
This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcod... | {"license": "bigcode-openrail-m", "tags": ["generated_from_trainer"], "base_model": "bigcode/starcoderbase-1b", "model-index": [{"name": "peft-starcoder-lora-a100", "results": []}]} | gauravsirola/peft-starcoder-lora-a100 | null | [
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| peft-starcoder-lora-a100
========================
This model is a fine-tuned version of bigcode/starcoderbase-1b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 6.6613
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
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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"} | rubbrband/PVCStyleModelMovable_beta25Realistic | 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.
- Developed by:
- Funded by [optional]:
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text-generation | transformers |
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## Model Details
### Model Description
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null | 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
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jberni29/IsenHumourAI
<!-- provided-files -->
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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null | pruna-engine | <!-- header start -->
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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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text-to-image | diffusers |
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null | open_clip | A CLIP (Contrastive Language-Image Pre-training) model trained on DFN-5B.
Data Filtering Networks (DFNs) are small networks used to automatically filter large pools of uncurated data.
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| A CLIP (Contrastive Language-Image Pre-training) model trained on DFN-5B.
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text-generation | transformers |
This model contains manyh hidden tensors :
As it was emrged with many lora adapter for various task such as vision and sound .
The problem was that for some reason i could not get the extra heads to show up like other models.
such as the llava model ... i suppose this model can change the config.json to be a llava ... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "MegaMerge", "code", "Cyber-Series"], "base_model": ["LeroyDyer/Mixtral_AI_Multi_TEST", "LeroyDyer/Mixtral_AI_Cyber_Dolphin_2.0", "LeroyDyer/Mixtral_AI_CyberLAW", "LeroyDyer/Mixtral_AI_CyberBrain_3_0", "LeroyDyer/Mixtral_AI_Cybe... | LeroyDyer/Mixtral_AI_Cyber_Matrix | null | [
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such as the llava model ... i suppose this model can change the URL to be a llava model an... | [
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text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | blockblockblock/Starling-LM-10.7B-beta-bpw5.5 | null | [
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|
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | [
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text-generation | transformers |
# StarlingDolphin-7B-slerp
StarlingDolphin-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
* [cognitivecomputations/dolphin-2... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Nexusflow/Starling-LM-7B-beta", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"], "base_model": ["Nexusflow/Starling-LM-7B-beta", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | allknowingroger/StarlingDolphin-7B-slerp | null | [
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"base_model:cognitivecomputations/dolphin-2.8-mis... | null | 2024-04-04T06:52:53+00:00 | [] | [] | TAGS
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# StarlingDolphin-7B-slerp
StarlingDolphin-7B-slerp is a merge of the following models using LazyMergekit:
* Nexusflow/Starling-LM-7B-beta
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
## Configuration
## Usage
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<!-- 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. -->
# V0404MP5
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0404MP5", "results": []}]} | Litzy619/V0404MP5 | null | [
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| V0404MP5
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1177
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-generation | transformers |
# 🇹🇭 OpenThaiGPT 13b 1.0.0
[More Info](https://openthaigpt.aieat.or.th/)
🇹🇭 **OpenThaiGPT ... | {"language": ["th", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["openthaigpt", "llama"], "pipeline_tag": "text-generation"} | openthaigpt/openthaigpt-1.0.0-13b-chat | null | [
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| 🇹🇭 OpenThaiGPT 13b 1.0.0
========================
!OpenThaiGPT
More Info
🇹🇭 OpenThaiGPT 13b Version 1.0.0 is an advanced 13-billion-parameter Thai language chat model based on LLaMA v2 released on April 8, 2024. It has been specifically fine-tuned for Thai instructions and enhanced by incorporating over 10,0... | [
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text-generation | transformers |
# T3Q-ko-solar-dpo-v6.0
## This model is a version of T3Q-ko-solar-dpo-v5.0... | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | chihoonlee10/T3Q-ko-solar-dpo-v6.0 | null | [
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|
!image/png
!image/png
# T3Q-ko-solar-dpo-v6.0
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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. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "transformers", "datasets": ["IvanD2002/Task_Dataset"], "base_model": "meta-llama/Llama-2-7b-hf", "pipeline_tag": "text-generation"} | IvanD2002/Stuco_Test | null | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-finetuned-vehidefect
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "t5-small-finetuned-vehidefect", "results": []}]} | ItsMayur/t5-small-finetuned-vehidefect | null | [
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| t5-small-finetuned-vehidefect
=============================
This model is a fine-tuned version of t5-small on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
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---------... | [
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text-generation | transformers | <!-- header start -->
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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. -->
# ApecGPT-LoRA
This model is a fine-tuned version of [vinai/PhoGPT-4B-Chat](https://huggingface.co/vinai/PhoGPT-4B-Chat) on the No... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "vinai/PhoGPT-4B-Chat", "model-index": [{"name": "ApecGPT-LoRA", "results": []}]} | KhaiQuang/ApecGPT-LoRA | null | [
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# ApecGPT-LoRA
This model is a fine-tuned version of vinai/PhoGPT-4B-Chat 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 f... | [
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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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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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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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text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | blockblockblock/Starling-LM-10.7B-beta-bpw6 | null | [
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# Starling-LM-10.7B-beta
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/wiki_asp-animal_3469_bart-base | null | [
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# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
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## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | pruna-engine | <!-- header start -->
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sentence-similarity | sentence-transformers |
# omarelsayeed/products_recm_labse_cosine
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using th... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | omarelsayeed/products_recm_labse_cosine | null | [
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|
# omarelsayeed/products_recm_labse_cosine
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/wiki_asp-soccer_player_9782_bart-base | null | [
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|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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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": []} | dmcooller/neural-matia-ft-4 | 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 |
<!-- 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. -->
# ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter0
This model is a fine-tuned version of [BramVanroy/GEITje-7B-ultra... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "base_model": "BramVanroy/GEITje-7B-ultra-sft", "model-index": [{"name": "ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter0", "results": []}]} | davidberenstein1957/ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter0 | null | [
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| ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft\_iter0
===============================================================
This model is a fine-tuned version of BramVanroy/GEITje-7B-ultra-sft on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0135
* Rewards/real: -1.4818
* ... | [
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null | transformers |
# Uploaded model
- **Developed by:** shabieh2
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | shabieh2/7b_lora_model | null | [
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|
# Uploaded model
- Developed by: shabieh2
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# DolphinChat-7B-slerp
DolphinChat-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Isaak-Carter/J.O.S.I.E.3-Beta9-7B-slerp](https://huggingface.co/Isaak-Carter/J.O.S.I.E.3-Beta9-7B-slerp)
* [Artples/L-MChat-7b]... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Isaak-Carter/J.O.S.I.E.3-Beta9-7B-slerp", "Artples/L-MChat-7b"], "base_model": ["Isaak-Carter/J.O.S.I.E.3-Beta9-7B-slerp", "Artples/L-MChat-7b"]} | allknowingroger/DolphinChat-7B-slerp | null | [
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... | null | 2024-04-04T07:24:30+00:00 | [] | [] | TAGS
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# DolphinChat-7B-slerp
DolphinChat-7B-slerp is a merge of the following models using LazyMergekit:
* Isaak-Carter/J.O.S.I.E.3-Beta9-7B-slerp
* Artples/L-MChat-7b
## Configuration
## Usage
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text-generation | transformers |
Currently undegoing Fine tuning ! as this model contains all Previous models !
This model contains many hidden tensors :
As it was emrged with many lora adapter for various task such as vision and sound .
The problem was that for some reason i could not get the extra heads to show up like other models.
such as the... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "megamerge", "code", "Cyber-Series"], "datasets": ["Open-Orca/OpenOrca", "cognitivecomputations/dolphin", "WhiteRabbitNeo/WRN-Chapter-2", "WhiteRabbitNeo/WRN-Chapter-1", "gate369/Alpaca-Star", "gate369/alpaca-star-ascii"], "base... | LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0 | null | [
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The problem was that for some reason i could not get the extra heads to show up like other models.
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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": []} | Niyantha23M/llama2_liberal_conservative_tuned | 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... | {"license": "apache-2.0", "library_name": "transformers"} | monster119120/OpenHermes-2.5-Mistral-7B-new | null | [
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-1 | null | [
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### Model Description
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null | transformers |
# Uploaded model
- **Developed by:** srbdtwentyfour
- **License:** apache-2.0
- **Finetuned from model :** NousResearch/Nous-Hermes-2-SOLAR-10.7B
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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "NousResearch/Nous-Hermes-2-SOLAR-10.7B"} | srbdtwentyfour/nous_hermes_2_lora | null | [
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|
# Uploaded model
- Developed by: srbdtwentyfour
- License: apache-2.0
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
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### Model Description
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jspr/talosian-7b
<!-- 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. Feel f... | {"language": ["en"], "library_name": "transformers", "base_model": "jspr/talosian-7b", "quantized_by": "mradermacher"} | mradermacher/talosian-7b-GGUF | null | [
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-----
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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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
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### 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
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text-generation | transformers |
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null | pruna-engine | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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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
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
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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. -->
# server
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "server", "results": []}]} | AniketArtani/server | null | [
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# server
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
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text-generation | transformers | <!-- header start -->
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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
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text-generation | transformers |
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text-generation | transformers | <!-- header start -->
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null | pruna-engine | <!-- header start -->
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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. -->
# feel_it_finetuned_pro_multimodal_no_prompt
This model is a fine-tuned version of [MilaNLProc/feel-it-italian-emotion](https://hu... | {"tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "MilaNLProc/feel-it-italian-emotion", "model-index": [{"name": "feel_it_finetuned_pro_multimodal_no_prompt", "results": []}]} | lupobricco/feel_it_finetuned_pro_multimodal_no_prompt | null | [
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| feel\_it\_finetuned\_pro\_multimodal\_no\_prompt
================================================
This model is a fine-tuned version of MilaNLProc/feel-it-italian-emotion on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5325
* F1: 0.255
* Roc Auc: 0.5849
* Accuracy: 0.0
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null | pruna-engine | <!-- header start -->
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![Twitter](URL
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![LinkedIn](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": []} | OwOOwO/stable_boy_upgrade2 | 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 Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-5 | null | [
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|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
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text-generation | transformers |
# HelpingAI-180B-base
## Description
The HelpingAI-180B-base model is a large-scale artificial intelligence model developed to assist in various natural language processing tasks. Trained on a diverse range of data sources, this model is designed to generate text, facilitate language understanding, and support variou... | {"language": ["en"], "license": "mit", "tags": ["gemma"], "pipeline_tag": "text-generation"} | OEvortex/HelpingAI-180B-base | null | [
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|
# HelpingAI-180B-base
## Description
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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. -->
# spanemo-id-pretrained
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the f... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "spanemo-id-pretrained", "results": []}]} | syafiqfaray/spanemo-id-pretrained | null | [
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|
# spanemo-id-pretrained
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6842
- eval_f1_Macro: 0.1747
- eval_f1_Micro: 0.1934
- eval_js: 0.0851
- eval_hamming_loss: 0.4428
- eval_runtime: 5.5759
- eval_samples_per_second: 151... | [
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text-generation | transformers |
# Model Information
AzzurroQuantized is a compact iteration of the model [Azzurro](https://huggingface.co/MoxoffSpA/Azzurro), optimized for efficiency.
It is offered in two distinct configurations: a 4-bit version and an 8-bit version, each designed to maintain the model's effectiveness while significantly reducing ... | {"language": ["it", "en"], "license": "mit", "library_name": "transformers", "tags": ["sft", "it", "mistral", "chatml"]} | MoxoffSpA/AzzurroQuantized | null | [
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| Model Information
=================
AzzurroQuantized is a compact iteration of the model Azzurro, optimized for efficiency.
It is offered in two distinct configurations: a 4-bit version and an 8-bit version, each designed to maintain the model's effectiveness while significantly reducing its size
and computational ... | [] | [
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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. -->
# feel_it_finetuned_pro_multimodal_prompt
This model is a fine-tuned version of [lupobricco/feel_it_finetuned_pro_emit_multilabel2... | {"tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "lupobricco/feel_it_finetuned_pro_emit_multilabel2", "model-index": [{"name": "feel_it_finetuned_pro_multimodal_prompt", "results": []}]} | lupobricco/feel_it_finetuned_pro_multimodal_prompt | null | [
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| feel\_it\_finetuned\_pro\_multimodal\_prompt
============================================
This model is a fine-tuned version of lupobricco/feel\_it\_finetuned\_pro\_emit\_multilabel2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2510
* F1: 0.5070
* Roc Auc: 0.7091
* Accurac... | [
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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": []} | 0x0uncle0/uncle29 | 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:
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- 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. -->
# new_python_convert
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/TheBlok... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "new_python_convert", "results": []}]} | ananyarn/new_python_convert | null | [
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"license:apache-2.0",
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] | null | 2024-04-04T08:07:21+00:00 | [] | [] | TAGS
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| new\_python\_convert
====================
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5715
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 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": []} | weqweasdas/rsf_plus_mistral7b_ratio_09_5kbz_model1 | 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 Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-6 | null | [
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|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
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