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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_food_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "my_awesome_food_model", "results": []}]} | diegozambrana/my_awesome_food_model | null | [
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| my\_awesome\_food\_model
========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5969
* Accuracy: 0.883
Model description
-----------------
More information needed
Intended uses &... | [
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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": []} | Kimty/sql_coder_text1 | null | [
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## Model Details
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | wizardofchance/ner-model | null | [
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text-generation | transformers | Quantizations of https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2
# From original readme
## Instruction format
In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[/INST]` tokens. The very first instruction should begin with a begin of sentence id. The next instru... | {"language": ["en"], "license": "other", "tags": ["gguf", "imatrix", "mistralai", "Mistral-7B-Instruct-v0.2", "transformers"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/Mistral-7B-Instruct-v0.2-imatrix-GGUF | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [deepnet/SN6-67L2](https://huggingface.co/de... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["deepnet/SN6-67L2", "Grayx/sad_llama_38"]} | Sumail/Chalice5 | 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:
* deepnet/SN6-67L2
* Grayx/sad_llama_38
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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. -->
# my_awesome_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | GauravR12060102/my_awesome_model | null | [
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| my\_awesome\_model
==================
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: 0.2323
* Accuracy: 0.9318
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Konthee/CLIP-ViT-B-32-laion2B-s34B-b79K-vision | 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 |
<!-- 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. -->
# GUE_EMP_H3K79me3-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_4096_512_27M-L1_f | null | [
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| GUE\_EMP\_H3K79me3-seqsight\_4096\_512\_27M-L1\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4279
* F1 Score... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-1 | null | [
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|
# robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-1
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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": []} | swaghjal/codellama-7b-finetuned-checkpoints_2024-04-25_21_35_24 | 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:
- Language(s) (NLP):
- License... | [
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text-generation | null |
## Exllama v2 Quantizations of Llama-3-8B-LexiFun-Uncensored-V1
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Ea... | {"language": ["en"], "license": "other", "tags": ["llama3", "comedy", "comedian", "fun", "funny", "llama38b", "laugh", "sarcasm", "roleplay"], "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license/", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Llama-3-8B-LexiFun-Uncensored-V1-exl2 | null | [
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| Exllama v2 Quantizations of Llama-3-8B-LexiFun-Uncensored-V1
------------------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individ... | [] | [
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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. -->
# GUE_EMP_H3K79me3-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_4096_512_27M-L32_f | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_4096\_512\_27M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4205
* F1 Sco... | [
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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. -->
# GUE_EMP_H3K79me3-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_4096_512_27M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_4096\_512\_27M-L8\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4263
* F1 Score... | [
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text-generation | transformers |
# Model Card for Model ID
Fine-tuning for CS5242 project
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [DreamOnRain]
- **Finetuned from model [optional]:** state-spaces/mamba-130m-hf
### Model Sources [optional]
<!-- Provide the basic links ... | {"library_name": "transformers", "tags": []} | DreamOnRain/mamba-130m-msmath | null | [
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|
# Model Card for Model ID
Fine-tuning for CS5242 project
## Model Details
### Model Description
- Developed by: [DreamOnRain]
- Finetuned from model [optional]: state-spaces/mamba-130m-hf
### Model Sources [optional]
- Repository: URL
## Training Details
### Training Data
URL
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text-generation | transformers |
## 4-bit GEMM AWQ Quantizations of Llama-3-8B-LexiFun-Uncensored-V1
Using <a href="https://github.com/casper-hansen/AutoAWQ/">AutoAWQ</a> release <a href="https://github.com/casper-hansen/AutoAWQ/releases/tag/v0.2.4">v0.2.4</a> for quantization.
Original model: https://huggingface.co/Orenguteng/Llama-3-8B-LexiFun-U... | {"language": ["en"], "license": "other", "tags": ["llama3", "comedy", "comedian", "fun", "funny", "llama38b", "laugh", "sarcasm", "roleplay"], "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license/", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Llama-3-8B-LexiFun-Uncensored-V1-AWQ | null | [
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|
## 4-bit GEMM AWQ Quantizations of Llama-3-8B-LexiFun-Uncensored-V1
Using <a href="URL release <a href="URL for quantization.
Original model: URL
## Prompt format
## AWQ Parameters
- q_group_size: 128
- w_bit: 4
- zero_point: True
- version: GEMM
## How to run
From the AutoAWQ repo here
First install au... | [
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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": []} | mcding/GPT2-Small-PKU-Help-10K-Reward | 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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image-feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Konthee/siglip-so400m-patch14-384-vision | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Grayx/sad_llama_38](https://huggingface.co/... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Grayx/sad_llama_38", "deepnet/SN6-67L2"]} | Sumail/Chalice6 | 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:
* Grayx/sad_llama_38
* deepnet/SN6-67L2
### Configuration
The following YAML conf... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** 1024m
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | 1024m/GEMMA7B-01-EXALT1A-16bit | null | [
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|
# Uploaded model
- Developed by: 1024m
- 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. -->
# gemma_7b_lora_completion_only
This model is a fine-tuned version of [google/gemma-1.1-7b-it](https://huggingface.co/google/gemma... | {"language": ["zh"], "license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "nycu-112-2-deeplearning-hw2", "generated_from_trainer"], "datasets": ["DandinPower/ZH-Reading-Comprehension-gemma-it"], "base_model": "google/gemma-1.1-7b-it", "model-index": [{"name": "gemma_7b_lora_completion_only", "results": []... | DandinPower/gemma_7b_lora_completion_only | null | [
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| gemma\_7b\_lora\_completion\_only
=================================
This model is a fine-tuned version of google/gemma-1.1-7b-it on the DandinPower/ZH-Reading-Comprehension-gemma-it dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0885
Model description
-----------------
More informat... | [
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text-generation | transformers |
# Phi-3 Mini-128K-Instruct ONNX models
<!-- Provide a quick summary of what the model is/does. -->
This repository hosts the optimized versions of [Phi-3-mini-128k-instruct](https://aka.ms/phi3-mini-128k-instruct) to accelerate inference with ONNX Runtime.
Phi-3 Mini is a lightweight, state-of-the-art open model bui... | {"license": "mit", "tags": ["ONNX", "DML", "ONNXRuntime", "phi3", "nlp", "conversational", "custom_code"], "pipeline_tag": "text-generation"} | renwoshin/Phi-3-mini-128k-instruct-onnx-tf | null | [
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| Phi-3 Mini-128K-Instruct ONNX models
====================================
This repository hosts the optimized versions of Phi-3-mini-128k-instruct to accelerate inference with ONNX Runtime.
Phi-3 Mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-2 - synthetic data and filtered webs... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** sebdg
- **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/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | sebdg/llama3-8b-emotions | null | [
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|
# Uploaded model
- Developed by: sebdg
- 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 | 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. -->
# GUE_EMP_H3K4me1-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_4096_512_27M-L1_f | null | [
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"region:us"
] | null | 2024-04-26T04:19:56+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_4096\_512\_27M-L1\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5146
* F1 Score: 0... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** 1024m
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | 1024m/GEMMA7B-01-EXALT1A-4bit | null | [
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|
# Uploaded model
- Developed by: 1024m
- 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 |
# Uploaded model
- **Developed by:** sebdg
- **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/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | sebdg/llama3-8b-emotions-lora | null | [
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] | null | 2024-04-26T04:22:54+00:00 | [] | [
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|
# Uploaded model
- Developed by: sebdg
- 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-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_3iters_bs256_declr_nodpo_userresponse_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_3iters_bs256_declr_nodpo... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_3iters_bs256_declr_nodpo_userresponse_iter_1", "model-index": [{"name": "0.001_3iters_bs256_declr_nodpo_userresponse_iter_2... | ShenaoZ/0.001_3iters_bs256_declr_nodpo_userresponse_iter_2 | null | [
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# 0.001_3iters_bs256_declr_nodpo_userresponse_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_3iters_bs256_declr_nodpo_userresponse_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and eva... | [
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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. -->
# esm2_t130_150M-lora-classifier_2024-04-26_00-25-40
This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/esm2_t30_150M_UR50D", "model-index": [{"name": "esm2_t130_150M-lora-classifier_2024-04-26_00-25-40", "results": []}]} | wcvz/esm2_t130_150M-lora-classifier_2024-04-26_00-25-40 | null | [
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"license:mit",
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#peft #safetensors #generated_from_trainer #base_model-facebook/esm2_t30_150M_UR50D #license-mit #region-us
| esm2\_t130\_150M-lora-classifier\_2024-04-26\_00-25-40
======================================================
This model is a fine-tuned version of facebook/esm2\_t30\_150M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6470
* Accuracy: 0.8887
Model description
----... | [
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null | transformers |
# Uploaded model
- **Developed by:** lukah
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-70b-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-3-70b-bnb-4bit"} | lukah/llama3-70b-oig-unsloth2 | null | [
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|
# Uploaded model
- Developed by: lukah
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | EinsZwo/mlm_mixed_supertagging_424_alpha05_bertonly | null | [
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#transformers #safetensors #bert #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# dolphin-2.9-llama3-8b-GER
This model is a fine-tuned version of [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingfac... | {"license": "other", "library_name": "peft", "tags": ["llama-factory", "lora", "unsloth", "generated_from_trainer"], "base_model": "cognitivecomputations/dolphin-2.9-llama3-8b", "model-index": [{"name": "dolphin-2.9-llama3-8b-GER", "results": []}]} | scrapie/dolphin-2.9-llama3-8b-GER-4bit | null | [
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#peft #safetensors #llama-factory #lora #unsloth #generated_from_trainer #base_model-cognitivecomputations/dolphin-2.9-llama3-8b #license-other #region-us
| dolphin-2.9-llama3-8b-GER
=========================
This model is a fine-tuned version of cognitivecomputations/dolphin-2.9-llama3-8b on the identity, the alpaca-gpt4\_de, the dolphin\_de and the airoboros\_de datasets.
It achieves the following results on the evaluation set:
* Loss: 0.9384
Model description
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 1\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | priteshshah/lora_model | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | <img src="https://i.imgur.com/P68dXux.png" width="400"/>
# miqu-evil-dpo-iMat-GGUF
Quantized from fp32 with love.
* Weighted quantizations created with .imatrix file calculated in 105 chunks and n_ctx=512 using groups_merged.txt
For a brief rundown of iMatrix quant performance please see this [PR](https://github.com... | {"tags": ["merge", "gguf", "mixtral", "iMat"]} | InferenceIllusionist/miqu-evil-dpo-iMat-GGUF | null | [
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#gguf #merge #mixtral #iMat #region-us
| <img src="https://i.URL width="400"/>
# miqu-evil-dpo-iMat-GGUF
Quantized from fp32 with love.
* Weighted quantizations created with .imatrix file calculated in 105 chunks and n_ctx=512 using groups_merged.txt
For a brief rundown of iMatrix quant performance please see this PR
<i>All quants are verified working pri... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-132_EnronSpam_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-132_EnronSpam_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-132_EnronSpam_n-its-10 | null | [
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|
# robust_llm_pythia-160m_mz-132_EnronSpam_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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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. -->
# V0424HMA14
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": "V0424HMA14", "results": []}]} | Litzy619/V0424HMA14 | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA14
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0630
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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null | null |
# llama3-dnapretrain-kaniwa
This is a LoRA adapter.
The base model is the longer-context LLaMA-3-8b-Instruct developed by Gradient and Crusoe: `gradientai/Llama-3-8B-Instruct-262k`
The dataset was part of BYU's 2019 kaniwa (*Chenopodium pallidicaule*) genome, from https://genomevolution.org/coge/GenomeInfo.pl?gid=5... | {"language": ["en"], "license": "llama3", "tags": ["text-generation-inference", "unsloth", "llama", "trl", "dna"], "base_model": "gradientai/Llama-3-8B-Instruct-262k"} | monsoon-nlp/llama3-dnapretrain-kaniwa | null | [
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|
# llama3-dnapretrain-kaniwa
This is a LoRA adapter.
The base model is the longer-context LLaMA-3-8b-Instruct developed by Gradient and Crusoe: 'gradientai/Llama-3-8B-Instruct-262k'
The dataset was part of BYU's 2019 kaniwa (*Chenopodium pallidicaule*) genome, from URL
The adapter was finetuned for 3 hours on an A1... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | chakkakrishna/llmbest | null | [
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#peft #safetensors #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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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. -->
# GUE_EMP_H3K4me1-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_4096_512_27M-L8_f | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_4096\_512\_27M-L8\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5164
* F1 Score: 0... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "unit-4-reinforce-1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"ty... | krisha-n/unit-4-reinforce-1 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | chillies/llama-3-8b-vn | 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]:
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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. -->
# GUE_EMP_H3K36me3-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_4096_512_27M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T04:45:15+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_4096\_512\_27M-L1\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4573
* F1 Score... | [
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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. -->
# GUE_EMP_H3K4me1-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_4096_512_27M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T04:45:15+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_4096\_512\_27M-L32\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5080
* F1 Score:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | hschang98/bert-finetuned-ner | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0585
* Precision: 0.9322
* Recall: 0.9507
* F1: 0.9413
* Accuracy: 0.9869
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
# mukunds15/gemma_trial
This model was converted to MLX format from [`mlx-community/gemma-1.1-7b-it-4bit`]() using mlx-lm version **0.11.0**.
Refer to the [original model card](https://huggingface.co/mlx-community/gemma-1.1-7b-it-4bit) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```... | {"license": "gemma", "library_name": "transformers", "tags": ["mlx", "mlx"], "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging... | mukunds15/gemma_trial | null | [
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"autotrain_compatible",
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"region:us"
] | null | 2024-04-26T04:46:04+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #mlx #conversational #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mukunds15/gemma_trial
This model was converted to MLX format from ['mlx-community/gemma-1.1-7b-it-4bit']() using mlx-lm version 0.11.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-generation | transformers |
# Model Card for Model ID
<!-- -->
## Model Details
Shivneri Marathi LLM is being built with the wish to bring the benefits of Generative AI to non-English (especially Marathi) speaking population of India.
Marathi has the third largest number of native speakers in India, after Hindi and Bengali.
Almost 83 milli... | {"language": ["mr", "en"], "license": "llama3", "library_name": "transformers", "datasets": ["smallstepai/marathi-instruction-tuning-alpaca", "ai4bharat/indic-align"]} | amitagh/shivneri-llm-it-v0.2 | null | [
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|
# Model Card for Model ID
## Model Details
Shivneri Marathi LLM is being built with the wish to bring the benefits of Generative AI to non-English (especially Marathi) speaking population of India.
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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_3iters_bs128_declr_nodpo_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingf... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_3iters_bs128_declr_nodpo_iter_1", "results": []}]} | ShenaoZ/0.001_3iters_bs128_declr_nodpo_iter_1 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible... | null | 2024-04-26T04:53:18+00:00 | [] | [] | TAGS
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|
# 0.001_3iters_bs128_declr_nodpo_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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null | null | # ⟪Aufgedeckt⟫ Slimplus Keto Gummies Deutschland Test und Einnahme Preis, kaufen
Slimplus Keto Gummies Erfahrungen Deutschland Slim Plus Keto ACV Gummies in den bieten möglicherweise eine Reihe von Vorteilen für diejenigen, die schnell Fett verbrennen und Ketose auslösen möchten, ohne eine strenge Diät oder Trainings... | {} | VKapseln475/SlimplusKeto7787 | null | [
"region:us"
] | null | 2024-04-26T04:54:30+00:00 | [] | [] | TAGS
#region-us
| # ⟪Aufgedeckt⟫ Slimplus Keto Gummies Deutschland Test und Einnahme Preis, kaufen
Slimplus Keto Gummies Erfahrungen Deutschland Slim Plus Keto ACV Gummies in den bieten möglicherweise eine Reihe von Vorteilen für diejenigen, die schnell Fett verbrennen und Ketose auslösen möchten, ohne eine strenge Diät oder Trainings... | [
"# ⟪Aufgedeckt⟫ Slimplus Keto Gummies Deutschland Test und Einnahme Preis, kaufen\n\nSlimplus Keto Gummies Erfahrungen Deutschland Slim Plus Keto ACV Gummies in den bieten möglicherweise eine Reihe von Vorteilen für diejenigen, die schnell Fett verbrennen und Ketose auslösen möchten, ohne eine strenge Diät oder Tr... | [
"TAGS\n#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_3iters_bs256_declr_nodpo_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingf... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_3iters_bs256_declr_nodpo_iter_1", "results": []}]} | ShenaoZ/0.001_3iters_bs256_declr_nodpo_iter_1 | null | [
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"base_model:HuggingFaceH4/mistral-7b-sft-beta",
"license:mit",
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"endpoints_compatible... | null | 2024-04-26T04:54:47+00:00 | [] | [] | TAGS
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|
# 0.001_3iters_bs256_declr_nodpo_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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null | 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. -->
# zephyr-7b-dpo-qlora-min-pi-part-0
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingf... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-7b-dpo-qlora-min-pi-part-0", "results": []}]} | YYYYYYibo/zephyr-7b-dpo-qlora-min-pi-part-0 | null | [
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"dataset:updated",
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"base_model:alignment-handbook/zephyr-7b-sft-full",
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|
# zephyr-7b-dpo-qlora-min-pi-part-0
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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null | 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. -->
# GUE_EMP_H3K36me3-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_4096_512_27M-L8_f | null | [
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| GUE\_EMP\_H3K36me3-seqsight\_4096\_512\_27M-L8\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4534
* F1 Score... | [
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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="expilu/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"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": ... | expilu/q-FrozenLake-v1-4x4-noSlippery | null | [
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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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null | null |
# SEED-X
[](https://arxiv.org/abs/2404.14396) [](https://139a5c1d085953f17b.gradio.live/)
We introduce SEED-X, a unified and versatile foundation model, which can serve as various multimodal AI a... | {"license": "other", "license_name": "license-seed-x-17b", "license_link": "LICENSE"} | AILab-CVC/SEED-X-17B | null | [
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|
# SEED-X
![arXiv](URL ![Demo](URL
We introduce SEED-X, a unified and versatile foundation model, which can serve as various multimodal AI assistants in the real world after different instruction tuning, capable of responding to a variety of user needs through unifying multi-granularity comprehension and generation.
... | [
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# Uploaded model
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
[](https://github.com/mbzuai-oryx/LLaVA-pp)
# Phi-3-V: Extending the Visual Capabilities of LLaVA with Phi-3
## Repository Overview
This repository features LLaVA v1.5 trained with the Phi-3-mini-3.8B LLM. This integration aims to leverage the strengths... | {"license": "mit"} | MBZUAI/LLaVA-Phi-3-mini-4k-instruct-pretrain | null | [
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![CODE](URL
# Phi-3-V: Extending the Visual Capabilities of LLaVA with Phi-3
## Repository Overview
This repository features LLaVA v1.5 trained with the Phi-3-mini-3.8B LLM. This integration aims to leverage the strengths of both models to offer advanced vision-language understanding.
## Training Strategy
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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": []} | Zangs3011/llama3_8B_norobots | null | [
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text-generation | transformers |
[](https://github.com/mbzuai-oryx/LLaVA-pp)
# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct
## Repository Overview
This repository features LLaVA v1.5 trained with the Meta-Llama-3-8B-Instruct LLM. This integration ... | {} | MBZUAI/LLaVA-Meta-Llama-3-8B-Instruct | null | [
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![CODE](URL
# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct
## Repository Overview
This repository features LLaVA v1.5 trained with the Meta-Llama-3-8B-Instruct LLM. This integration aims to leverage the strengths of both models to offer advanced vision-language understanding.
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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. -->
# results_packing
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "results_packing", "results": []}]} | sahil-theloops/results_packing | null | [
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================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4308
Model description
-----------------
More information needed
Intended uses & limitations
-------------------------... | [
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text-generation | transformers |
[](https://github.com/mbzuai-oryx/LLaVA-pp)
# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct
## Repository Overview
This repository features LLaVA v1.5 trained with the Meta-Llama-3-8B-Instruct LLM. This integration ... | {} | MBZUAI/LLaVA-Meta-Llama-3-8B-Instruct-pretrain | null | [
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![CODE](URL
# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct
## Repository Overview
This repository features LLaVA v1.5 trained with the Meta-Llama-3-8B-Instruct LLM. This integration aims to leverage the strengths of both models to offer advanced vision-language understanding.
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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": []} | terry69/llama2-poison-20p-full-2048 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swaghjal/deepseek-7b-finetuned-checkpoints_2024-04-25_22_06_02 | null | [
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# Model Card for Model ID
## Model Details
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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_3iters_bs128_declr_nodpo_useresponse_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_3iters_bs128_declr_nodpo_... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_3iters_bs128_declr_nodpo_useresponse_iter_2", "model-index": [{"name": "0.001_3iters_bs128_declr_nodpo_useresponse_iter_3",... | ShenaoZ/0.001_3iters_bs128_declr_nodpo_useresponse_iter_3 | null | [
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# 0.001_3iters_bs128_declr_nodpo_useresponse_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_3iters_bs128_declr_nodpo_useresponse_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalu... | [
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text-generation | transformers |
[](https://github.com/mbzuai-oryx/LLaVA-pp)
# Phi-3-V: Extending the Visual Capabilities of LLaVA with Phi-3
## Repository Overview
This repository features LLaVA v1.5 trained with the Phi-3-mini-3.8B LLM. This integration aims to leverage the strengths... | {"license": "mit"} | MBZUAI/LLaVA-Phi-3-mini-4k-instruct-lora | null | [
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|
![CODE](URL
# Phi-3-V: Extending the Visual Capabilities of LLaVA with Phi-3
## Repository Overview
This repository features LLaVA v1.5 trained with the Phi-3-mini-3.8B LLM. This integration aims to leverage the strengths of both models to offer advanced vision-language understanding.
## Training Strategy
- Pretra... | [
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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. -->
# reward-rlhf
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "reward-rlhf", "results": []}]} | huiang/reward-rlhf | null | [
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#peft #tensorboard #safetensors #trl #reward-trainer #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #region-us
| reward-rlhf
===========
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: 0.6583
* Accuracy: 0.6139
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ImanNalia/revised_ft_wav2vec2_base_six_1000 | null | [
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# Model Card for Model ID
## Model Details
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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="expilu/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": "7.48 +/... | expilu/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 |
[](https://github.com/mbzuai-oryx/LLaVA-pp)
# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct
## Repository Overview
This repository features LLaVA v1.5 trained with the Meta-Llama-3-8B-Instruct LLM. This integration ... | {} | MBZUAI/LLaVA-Meta-Llama-3-8B-Instruct-lora | null | [
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#transformers #safetensors #llava_llama #text-generation #autotrain_compatible #endpoints_compatible #region-us
|
![CODE](URL
# LLaMA-3-V: Extending the Visual Capabilities of LLaVA with Meta-Llama-3-8B-Instruct
## Repository Overview
This repository features LLaVA v1.5 trained with the Meta-Llama-3-8B-Instruct LLM. This integration aims to leverage the strengths of both models to offer advanced vision-language understanding.
... | [
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zero-shot-classification | sentence-transformers |
# Cross-Encoder for Natural Language Inference(NLI) for Japanese
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.
This model is based on [tohoku-nlp/bert-base-japanese-v3](https://huggingface.co/tohoku... | {"language": "ja", "license": "cc-by-sa-4.0", "library_name": "sentence-transformers", "tags": ["cross-encoder", "tohoku-nlp/bert-base-japanese-v3", "nli", "natural-language-inference"], "datasets": ["shunk031/jsnli", "hpprc/jsick", "shunk031/JGLUE"], "pipeline_tag": "zero-shot-classification"} | akiFQC/bert-base-japanese-v3_nli-jsnli-jnli-jsick | null | [
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|
# Cross-Encoder for Natural Language Inference(NLI) for Japanese
This model was trained using SentenceTransformers Cross-Encoder class.
This model is based on tohoku-nlp/bert-base-japanese-v3.
## Training Data
The model was trained on following datasets.
- JSNLI
- JNLI (only train set)
- JSICK (only train set)
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text-generation | transformers | Just for test, don't use it.
For evaluating the normal metrics of long context window. Just change rope_base from 10000 to 5000000, to test if it can interpolate to 32k long context window.
Just for pass LLM evaluation requirements.
Expanding a language model's (like GPT) ability to handle long contexts involves a m... | {"license": "apache-2.0"} | itsliupeng/fly_9b_sft | null | [
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#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Just for test, don't use it.
For evaluating the normal metrics of long context window. Just change rope_base from 10000 to 5000000, to test if it can interpolate to 32k long context window.
Just for pass LLM evaluation requirements.
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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": []} | HenryCai1129/adapter-toxic2nontoxic-100-50-0.009 | 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 |
# 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": []} | happylayers/sc31 | 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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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 Medium Bambara
This model is a fine-tuned version of [oza75/whisper-bambara-asr-001](https://huggingface.co/oza75/whispe... | {"language": ["bm"], "license": "apache-2.0", "tags": ["asr", "generated_from_trainer"], "datasets": ["oza75/bambara-tts"], "metrics": ["wer"], "base_model": "oza75/whisper-bambara-asr-001", "model-index": [{"name": "Whisper Medium Bambara", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automat... | oza75/whisper-bambara-asr-001 | null | [
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| Whisper Medium Bambara
======================
This model is a fine-tuned version of oza75/whisper-bambara-asr-001 on the Bambara voices dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0646
* Wer: 5.4002
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 8e-06\n* train\\_batch\\_size: 64\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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text-generation | transformers |
## Model Summary
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.
The model belongs to the Phi-3 fam... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | Alignment-Lab-AI/idfkphi4kiguess | null | [
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| Model Summary
-------------
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.
The model belongs to th... | [
"### Tokenizer\n\n\nPhi-3 Mini-4K-Instruct supports a vocabulary size of up to '32064' tokens. The tokenizer files already provide placeholder tokens that can be used for downstream fine-tuning, but they can also be extended up to the model's vocabulary size.",
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | aw-infoprojekt/ppo-SnowballTarget | null | [
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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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
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | transformers |
# Uploaded model
- **Developed by:** VinhLlama
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-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/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | VinhLlama/Gemma7bVinhntV06_16bit | null | [
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# Uploaded model
- Developed by: VinhLlama
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-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 | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Silicon-Maid... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "transformers", "tags": ["merge", "not-for-all-audiences", "nsfw"], "base_model": "SanjiWatsuki/Silicon-Maid-7B", "quantized_by": "mradermacher"} | mradermacher/Silicon-Maid-7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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_train_seq_cls_run6
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral_train_seq_cls_run6", "results": []}]} | isaaclee/mistral_train_seq_cls_run6 | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-26T05:30:16+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistral_train_seq_cls_run6
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 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 hyp... | [
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text-generation | transformers |
# Keiana-L3-Test5.3-8B-9
Keiana-L3-Test5.3-8B-9 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* [Kaoeir... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test5.2-8B-8", "ResplendentAI/SOVL_Llama3_8B", "Undi95/Llama-3-Unholy-8B-e4"], "base_model": ["Kaoeiri/Keiana-L3-Test5.2-8B-8", "ResplendentAI/SOVL_Llama3_8B", "Undi95/Llama-3-Unholy-8B-e4"]} | Kaoeiri/Keiana-L3-Test5.3-8B-9 | null | [
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"base_model:ResplendentAI/SOVL_Llama... | null | 2024-04-26T05:30:26+00:00 | [] | [] | TAGS
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# Keiana-L3-Test5.3-8B-9
Keiana-L3-Test5.3-8B-9 is a merge of the following models using LazyMergekit:
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* Kaoeiri/Keiana-L3-Test5.2-8B-8
* ResplendentAI/SOVL_Llama3_8B
* Undi95/Llama-3-Unholy-8B-e4
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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_3iters_bs128_declr_nodpo_zephyrbeta_iter_1
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "0.001_3iters_bs128_declr_nodpo_zephyrbeta_iter_1", "results": []}]} | ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_iter_1 | null | [
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... | null | 2024-04-26T05:32:53+00:00 | [] | [] | TAGS
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|
# 0.001_3iters_bs128_declr_nodpo_zephyrbeta_iter_1
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
"# 0.001_3iters_bs128_declr_nodpo_zephyrbeta_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the updated and the original datasets.",
"## Model description\n\nMore information needed",
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text-generation | transformers |
# **Llama 2**
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 13B pretrained model, converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom.
##... | {"language": ["en"], "license": "llama2", "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "extra_gated_heading": "You need to share contact information with Meta to access this model", "extra_gated_prompt": "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means the terms and conditions for use, repr... | prateeky2806/meta-llama_Llama-2-13b-hf | null | [
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| Llama 2
=======
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 13B pretrained model, converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom.
... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
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static quants of https://huggingface.co/dillfrescott/silicon-maid-medium
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/silicon-... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "dillfrescott/silicon-maid-medium", "quantized_by": "mradermacher"} | mradermacher/silicon-maid-medium-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolphin-2.6-mistral-7b-dpo-laser - bnb 4bits
- Model creator: https://huggingface.co/cognitivecomputations/
- Original model... | {} | RichardErkhov/cognitivecomputations_-_dolphin-2.6-mistral-7b-dpo-laser-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolphin-2.6-mistral-7b-dpo-laser - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
- ehartford/dolphin-coder
- teknium/openhermes
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null | transformers |
# Uploaded model
- **Developed by:** Crysiss
- **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/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Crysiss/llama3-8B-welfare-1 | null | [
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|
# Uploaded model
- Developed by: Crysiss
- 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-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolphin-2.6-mistral-7b-dpo-laser - bnb 8bits
- Model creator: https://huggingface.co/cognitivecomputations/
- Original model... | {} | RichardErkhov/cognitivecomputations_-_dolphin-2.6-mistral-7b-dpo-laser-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolphin-2.6-mistral-7b-dpo-laser - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
- ehartford/dolphin-coder
- teknium/openhermes
- ise-uiuc/Mag... | [
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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... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["yuntian-deng/ak-paper-selection"]} | yuntian-deng/ak-paper-selection-deberta | null | [
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|
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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 Mn - Sanchit Gandhi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whi... | {"language": ["mn"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Mn - Sanchit Gandhi", "results": [{"task": {"type": "automatic-speech-recognition", "n... | Tuia/whisper-small-mn | null | [
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| Whisper Small Mn - Sanchit Gandhi
=================================
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: 0.5062
* Wer: 46.6033
Model description
-----------------
More information needed
In... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mihaj/wav2vec2-large-uralic-voxpopuli-v2-karelian-CodeSwitching_with_pitch_tempo_aug | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/dreamgen-preview/opus-v1.2-llama-3-8b-base-run3.4-epoch2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at t... | {"language": ["en"], "library_name": "transformers", "base_model": "dreamgen-preview/opus-v1.2-llama-3-8b-base-run3.4-epoch2", "quantized_by": "mradermacher"} | mradermacher/opus-v1.2-llama-3-8b-base-run3.4-epoch2-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NekoFi/llama-3-indotuned-v0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "NekoFi/llama-3-indotuned-v0", "quantized_by": "mradermacher"} | mradermacher/llama-3-indotuned-v0-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/kylegrove/ShotLlama-3-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "kylegrove/ShotLlama-3-8B", "quantized_by": "mradermacher"} | mradermacher/ShotLlama-3-8B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:kylegrove/ShotLlama-3-8B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T05:53:07+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-kylegrove/ShotLlama-3-8B #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 #en #base_model-kylegrove/ShotLlama-3-8B #endpoints_compatible #region-us \n"
] | [
34
] | [
"TAGS\n#transformers #gguf #en #base_model-kylegrove/ShotLlama-3-8B #endpoints_compatible #region-us \n"
] |
null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolphin-2.6-mistral-7b-dpo-laser - GGUF
- Model creator: https://huggingface.co/cognitivecomputations/
- Original model: htt... | {} | RichardErkhov/cognitivecomputations_-_dolphin-2.6-mistral-7b-dpo-laser-gguf | null | [
"gguf",
"arxiv:2312.13558",
"region:us"
] | null | 2024-04-26T05:55:45+00:00 | [
"2312.13558"
] | [] | TAGS
#gguf #arxiv-2312.13558 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolphin-2.6-mistral-7b-dpo-laser - GGUF
* Model creator: URL
* Original model: URL
Name: dolphin-2.6-mistral-7b-dpo-laser.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: dolphin-2.6-mistral-7b-dpo-laser.IQ3\_XS.gguf, Quant method: I... | [] | [
"TAGS\n#gguf #arxiv-2312.13558 #region-us \n"
] | [
19
] | [
"TAGS\n#gguf #arxiv-2312.13558 #region-us \n"
] |
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. -->
# my_awesome_eli5_clm_model
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the eli5_cate... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilgpt2", "model-index": [{"name": "my_awesome_eli5_clm_model", "results": []}]} | jacklong0718/my_awesome_eli5_clm_model | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"dataset:eli5_category",
"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T05:57:01+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #dataset-eli5_category #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| my\_awesome\_eli5\_clm\_model
=============================
This model is a fine-tuned version of distilgpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.8317
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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
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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_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_3iters_bs128_... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_2", "model-index": [{"name": "0.001_3iters_bs128_declr_nodpo_zephyrbe... | ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_3 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"trl",
"dpo",
"generated_from_trainer",
"conversational",
"dataset:updated",
"dataset:original",
"base_model:ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_2",
"license:mit",
"autotrain_... | null | 2024-04-26T05:59:10+00:00 | [] | [] | TAGS
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# 0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information neede... | [
"# 0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_3\n\nThis model is a fine-tuned version of ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_2 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore i... | [
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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. -->
# V0424HMA15
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": "V0424HMA15", "results": []}]} | Litzy619/V0424HMA15 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-26T06:00:25+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA15
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0650
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n",
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text-generation | transformers |
# meta-LLama3-8b-PruneME-TEST-22_30
This model was pruned after being analyzed with [PruneMe](https://github.com/arcee-ai/PruneMe)
*INFO:root:Layer 22 to 30 has the minimum average distance of 0.26598974609375. Consider examining this layer more closely for potential optimization or removal.*
meta-LLama3-8b-PruneM... | {"tags": ["merge", "mergekit", "lazymergekit", "meta-llama/Meta-Llama-3-8B-Instruct", "meta-llama/Meta-Llama-3-8B-Instruct", "PruneMe"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct", "meta-llama/Meta-Llama-3-8B-Instruct"]} | jsfs11/meta-LLama3-8b-PruneME-TEST-22_30 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"meta-llama/Meta-Llama-3-8B-Instruct",
"PruneMe",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",... | null | 2024-04-26T06:02:36+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #meta-llama/Meta-Llama-3-8B-Instruct #PruneMe #conversational #base_model-meta-llama/Meta-Llama-3-8B-Instruct #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# meta-LLama3-8b-PruneME-TEST-22_30
This model was pruned after being analyzed with PruneMe
*INFO:root:Layer 22 to 30 has the minimum average distance of 0.26598974609375. Consider examining this layer more closely for potential optimization or removal.*
meta-LLama3-8b-PruneME-TEST-22_30 is a merge of the followin... | [
"# meta-LLama3-8b-PruneME-TEST-22_30\n\nThis model was pruned after being analyzed with PruneMe\n\n*INFO:root:Layer 22 to 30 has the minimum average distance of 0.26598974609375. Consider examining this layer more closely for potential optimization or removal.*\n\n\nmeta-LLama3-8b-PruneME-TEST-22_30 is a merge of t... | [
"TAGS\n#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #meta-llama/Meta-Llama-3-8B-Instruct #PruneMe #conversational #base_model-meta-llama/Meta-Llama-3-8B-Instruct #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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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": []} | SteveImmanuel/ViTMAE-muc-streetview | null | [
"transformers",
"safetensors",
"vit_mae",
"pretraining",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T06:02:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vit_mae #pretraining #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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"TAGS\n#transformers #safetensors #vit_mae #pretraining #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# 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... | [
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null | null |
# DavidAU/Llama-3-Soliloquy-8B-Q8_0-GGUF
This model was converted to GGUF format from [`openlynn/Llama-3-Soliloquy-8B`](https://huggingface.co/openlynn/Llama-3-Soliloquy-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Llama-3-Soliloquy-8B-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | 2024-04-26T06:03:12+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us
|
# DavidAU/Llama-3-Soliloquy-8B-Q8_0-GGUF
This model was converted to GGUF format from 'openlynn/Llama-3-Soliloquy-8B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serve... | [
"# DavidAU/Llama-3-Soliloquy-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'openlynn/Llama-3-Soliloquy-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us \n",
"# DavidAU/Llama-3-Soliloquy-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'openlynn/Llama-3-Soliloquy-8B' 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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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us \n# DavidAU/Llama-3-Soliloquy-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'openlynn/Llama-3-Soliloquy-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use wi... |
null | null |
# DavidAU/Llama-3-SauerkrautLM-8b-Instruct-Q8_0-GGUF
This model was converted to GGUF format from [`VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct`](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-rep... | {"language": ["de", "en"], "license": "other", "tags": ["two stage dpo", "dpo", "llama-cpp", "gguf-my-repo"], "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreement\" means the terms and con... | DavidAU/Llama-3-SauerkrautLM-8b-Instruct-Q8_0-GGUF | null | [
"gguf",
"two stage dpo",
"dpo",
"llama-cpp",
"gguf-my-repo",
"de",
"en",
"license:other",
"region:us"
] | null | 2024-04-26T06:04:48+00:00 | [] | [
"de",
"en"
] | TAGS
#gguf #two stage dpo #dpo #llama-cpp #gguf-my-repo #de #en #license-other #region-us
|
# DavidAU/Llama-3-SauerkrautLM-8b-Instruct-Q8_0-GGUF
This model was converted to GGUF format from 'VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL serv... | [
"# DavidAU/Llama-3-SauerkrautLM-8b-Instruct-Q8_0-GGUF\nThis model was converted to GGUF format from 'VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInv... | [
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"# DavidAU/Llama-3-SauerkrautLM-8b-Instruct-Q8_0-GGUF\nThis model was converted to GGUF format from 'VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original m... | [
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"TAGS\n#gguf #two stage dpo #dpo #llama-cpp #gguf-my-repo #de #en #license-other #region-us \n# DavidAU/Llama-3-SauerkrautLM-8b-Instruct-Q8_0-GGUF\nThis model was converted to GGUF format from 'VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model c... |
null | null |
# DavidAU/Einstein-v6.1-Llama3-8B-Q8_0-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v6.1-Llama3-8B`](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama", "llama3", "llama-cpp", "gguf-my-repo"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistr... | DavidAU/Einstein-v6.1-Llama3-8B-Q8_0-GGUF | null | [
"gguf",
"axolotl",
"generated_from_trainer",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"science",
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"chemistry",
"biology",
"math",
"llama",
"llama3",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:allenai/ai2_arc",
"dataset:camel-ai/physics",
"dataset... | null | 2024-04-26T06:06:41+00:00 | [] | [
"en"
] | TAGS
#gguf #axolotl #generated_from_trainer #instruct #finetune #chatml #gpt4 #synthetic data #science #physics #chemistry #biology #math #llama #llama3 #llama-cpp #gguf-my-repo #en #dataset-allenai/ai2_arc #dataset-camel-ai/physics #dataset-camel-ai/chemistry #dataset-camel-ai/biology #dataset-camel-ai/math #dataset-m... |
# DavidAU/Einstein-v6.1-Llama3-8B-Q8_0-GGUF
This model was converted to GGUF format from 'Weyaxi/Einstein-v6.1-Llama3-8B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# DavidAU/Einstein-v6.1-Llama3-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Einstein-v6.1-Llama3-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
"TAGS\n#gguf #axolotl #generated_from_trainer #instruct #finetune #chatml #gpt4 #synthetic data #science #physics #chemistry #biology #math #llama #llama3 #llama-cpp #gguf-my-repo #en #dataset-allenai/ai2_arc #dataset-camel-ai/physics #dataset-camel-ai/chemistry #dataset-camel-ai/biology #dataset-camel-ai/math #dat... | [
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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": "unit-4-reinforce-pixelcopter-1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixel... | krisha-n/unit-4-reinforce-pixelcopter-1 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-26T06:09:31+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"
] | [
"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 ... | [
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the De... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | scottsus/mamba-2.8b-flamethrower-trained | null | [
"transformers",
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"mamba",
"text-generation",
"trl",
"sft",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T06:09:37+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mamba #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# 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)... | [
"TAGS\n#transformers #safetensors #mamba #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# 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... | [
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"TAGS\n#transformers #safetensors #mamba #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# 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 be... |
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