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text-generation | transformers |
# Model Card for Model ID
An attempt at a controversial checker, does not work.
Aditional adapter for fun results.
adapters_name = "wangzhang/Llama2-sequoiaDB"
#Llama2 model*
adapters_name = "HWatervalley/TiToHe_mistral_model"
## Model Details
### Model Description
<!-- Provide a longer summary of what this mode... | {"library_name": "transformers", "tags": []} | HWatervalley/TiToHe_tnypixel | null | [
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"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
An attempt at a controversial checker, does not work.
Aditional adapter for fun results.
adapters_name = "wangzhang/Llama2-sequoiaDB"
#Llama2 model*
adapters_name = "HWatervalley/TiToHe_mistral_model"
## Model Details
### Model Description
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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"} | sanjayuzu/falcon_beam | null | [
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- load_in_4bit: True
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | ashicklaszo/LunarLanding | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
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. -->
# codellama-7b
This model is a fine-tuned version of [meta-llama/CodeLlama-7b-hf](https://huggingface.co/meta-llama/CodeLlama-7b-h... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/CodeLlama-7b-hf", "model-index": [{"name": "codellama-7b", "results": []}]} | choprahetarth/codellama-7b | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/CodeLlama-7b-hf #license-llama2 #region-us
|
# codellama-7b
This model is a fine-tuned version of meta-llama/CodeLlama-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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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 Base Chinese-Mandarin
This model is a fine-tuned version of [xmzhu/whisper-tiny-zh](https://huggingface.co/xmzhu/whisper... | {"language": ["zh"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_0"], "metrics": ["wer"], "base_model": "xmzhu/whisper-tiny-zh", "model-index": [{"name": "Whisper Base Chinese-Mandarin", "results": [{"task": {"type": "automatic-speech-re... | arun100/whisper-tiny-cn-1 | null | [
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| Whisper Base Chinese-Mandarin
=============================
This model is a fine-tuned version of xmzhu/whisper-tiny-zh on the mozilla-foundation/common\_voice\_16\_0 zh-CN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5759
* Wer: 91.1266
Model description
-----------------
More in... | [
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text-generation | transformers | # IQ Test
A new model built on Undi's Unholy and my own intelligence dataset. The goal is to increase Llama 3's benchmarks and intelligence level while still retaining the uncensored nature that user... | {"license": "apache-2.0", "library_name": "transformers", "base_model": ["Undi95/Llama-3-Unholy-8B", "ResplendentAI/Smarts_Llama3"]} | ChaoticNeutrals/IQ_Test_l3_8B | null | [
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] | null | 2024-04-21T23:18:20+00:00 | [] | [] | TAGS
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| # IQ Test
!image/png
A new model built on Undi's Unholy and my own intelligence dataset. The goal is to increase Llama 3's benchmarks and intelligence level while still retaining the uncensored nature that users crave.
This is just the first test, with many more to come. | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [meta-llama/Meta-Llama-3-8B](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B", "NousResearch/Hermes-2-Pro-Mistral-7B"]} | mergekit-community/mergekit-slerp-tzunwnr | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* meta-llama/Meta-Llama-3-8B
* NousResearch/Hermes-2-Pro-Mistral-7B
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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": []} | yuiseki/YuisekinAI-mistral-en-1.1B-v0.2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_5iters_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_5iters_iter_1](https://huggingface.co... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_5iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_5iters_iter_1", "model-index": [{"name": "0.0_ablation_5iters_iter_2", "results": []}]} | ZhangShenao/0.0_ablation_5iters_iter_2 | null | [
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"endpo... | null | 2024-04-21T23:27:16+00:00 | [] | [] | TAGS
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# 0.0_ablation_5iters_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_5iters_iter_1 on the ZhangShenao/0.0_ablation_5iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information... | [
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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. -->
# mistral7binstruct_summarize
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral7binstruct_summarize", "results": []}]} | MikeCraBash/mistral7binstruct_summarize | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
| mistral7binstruct\_summarize
============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4824
Model description
-----------------
More information needed
Intended uses & limit... | [
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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
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#peft #region-us
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- bnb_4bit_quant_type: nf4
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text-generation | transformers | Self-merge of [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct). | {"license": "other", "tags": ["llama-3", "llama", "mergekit", "self-merge", "14B", "14b"], "license_name": "llama-3", "license_link": "https://llama.meta.com/llama3/license", "pipeline_tag": "text-generation"} | RDson/Llama-3-14B-Instruct-v1 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** xkiwilabs
- **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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | xkiwilabs/lora_opLLama3_modelv2 | null | [
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# Uploaded model
- Developed by: xkiwilabs
- 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 |
# 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": ["conversational"]} | aidenpooper/DialoGPT-small-aidenpooper | 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 |
EXL2 quants of [Sao10K/L3-Solana-8B-v1](https://huggingface.co/Sao10K/L3-Solana-8B-v1)
---
GGUF: [Here](https://huggingface.co/Sao10K/L3-Solana-8B-v1-GGUF)
*If you're going to use it in a merge, please do mention it. common courtesy and all. ty ty.*
You are my sunshine, my only sunshine
<br>You make me happy when ... | {"language": ["en"], "license": "cc-by-nc-4.0"} | SatouLilly/L3-Solana-8B-3.0bpw-h6-exl2 | null | [
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| EXL2 quants of Sao10K/L3-Solana-8B-v1
---
GGUF: Here
*If you're going to use it in a merge, please do mention it. common courtesy and all. ty ty.*
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You make me happy when skies are gray
You'll never know, dear, how much I love you
Please don't take my sunshine awa... | [
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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": []} | jirvine/doric_pfamid_tokenizer | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs256_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_iter_1](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_iter_1", "model-index": [{"name": "0.001_ablation_4iters_bs256_iter_2", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_iter_2 | null | [
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|
# 0.001_ablation_4iters_bs256_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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text-generation | transformers | # Llama3-16b
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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/dolphin-2.... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.9-llama3-8b", "unsloth/llama-3-8b-Instruct"]} | JDBMG/Llama3-16b | null | [
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| # Llama3-16b
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* cognitivecomputations/dolphin-2.9-llama3-8b
* unsloth/llama-3-8b-Instr... | [
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null | transformers |
# jeiku/IQ_Test_l3_8B-Q4_K_M-GGUF
This model was converted to GGUF format from [`jeiku/IQ_Test_l3_8B`](https://huggingface.co/jeiku/IQ_Test_l3_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](https://huggingface.co/jeiku... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["Undi95/Llama-3-Unholy-8B", "ResplendentAI/Smarts_Llama3"]} | jeiku/IQ_Test_l3_8B-Q4_K_M-GGUF | null | [
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|
# jeiku/IQ_Test_l3_8B-Q4_K_M-GGUF
This model was converted to GGUF format from 'jeiku/IQ_Test_l3_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:
Server:
Note: You c... | [
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sentence-similarity | sentence-transformers | # gte-micro
This is a distill of [gte-small](https://huggingface.co/thenlper/gte-small).
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete ([click here for demo](https://mihaiii.github.io/semantic-autocomplete/)).</span>
## Usage (same as [gte-small](https://huggin... | {"license": "mit", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "gte", "mteb"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "gte-micro", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounter... | Mihaiii/gte-micro | null | [
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"model-index",
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#sentence-transformers #onnx #safetensors #bert #feature-extraction #sentence-similarity #gte #mteb #license-mit #model-index #endpoints_compatible #region-us
| # gte-micro
This is a distill of gte-small.
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete (click here for demo).</span>
## Usage (same as gte-small)
Use in semantic-autocomplete
OR
in code
Use with sentence-transformers:
### Limitation (same as gte-small)... | [
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text-generation | null |
# Aplite-Instruct-4x8B-Llama-3
GGUF quant of [Llama-3-Aplite-Instruct-4x8B](https://huggingface.co/raincandy-u/Llama-3-Aplite-Instruct-4x8B).
**<|eot_id|> bug has been fixed.**
## Disclaimer
Thi... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "moe", "code"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | raincandy-u/Llama-3-Aplite-Instruct-4x8B-GGUF-MoE | null | [
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|
!image/png
# Aplite-Instruct-4x8B-Llama-3
GGUF quant of Llama-3-Aplite-Instruct-4x8B.
<|eot_id|> bug has been fixed.
## Disclaimer
This model is a research experiment and may generate incorrect or harmful content. The model's outputs should not be taken as factual or representative of the views of the model's cr... | [
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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": []} | MrezaPRZ/sft_full_codellama | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-handball-pv5
This model is a fine-tuned version of [Bienvenu2004/donut-handball-pv4](https://huggingface.co/Bienvenu2004/d... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "Bienvenu2004/donut-handball-pv4", "model-index": [{"name": "donut-handball-pv5", "results": []}]} | Bienvenu2004/donut-handball-pv5 | null | [
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"license:mit",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-Bienvenu2004/donut-handball-pv4 #license-mit #endpoints_compatible #region-us
|
# donut-handball-pv5
This model is a fine-tuned version of Bienvenu2004/donut-handball-pv4 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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fill-mask | transformers |
# HPLT Bert for English
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the [HPLT project](https://hplt-project.org/).
It is a so called masked language models. In particular, we used ... | {"language": ["en"], "license": "apache-2.0", "tags": ["BERT", "HPLT", "encoder"], "datasets": ["HPLT/hplt_monolingual_v1_2"], "inference": false} | HPLT/hplt_bert_base_en | null | [
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|
# HPLT Bert for English
<img src="URL width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the HPLT project.
It is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.
A monolingual LTG-BERT model is t... | [
"# HPLT Bert for English\n\n<img src=\"URL width=12.5%>\n\nThis is one of the encoder-only monolingual language models trained as a first release by the HPLT project.\nIt is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.\n\nA monolingual LTG-BER... | [
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null | null |
This model is converted to CoreML for us in odysseyapp.io or other Mac-based Stable Diffusion apps.
To add this model to Odyssey simply follow these instructions: https://odysseyapp.io/guides/custom-models-2
More information about the model can be found here: https://civitai.com/models/303161/haveall-x | {"license": "creativeml-openrail-m"} | odyssey-ai/Haveall-X | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-21T23:57:01+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
|
This model is converted to CoreML for us in URL or other Mac-based Stable Diffusion apps.
To add this model to Odyssey simply follow these instructions: URL
More information about the model can be found here: URL | [] | [
"TAGS\n#license-creativeml-openrail-m #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": []} | janakipanneerselvam/SegFormer_Sunlit_nvidia_mit-b5_universal | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Gpt4_t1_tiny_Seed102 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Gpt4_t1_tiny_Seed102 | 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": []} | Grayx/sad_llama_29.0 | null | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | dallonf/dqn-SpaceInvadersNoFrameSkip-v4 | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** FabioSantos
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | FabioSantos/llama3-8b-oig-fine-tune | null | [
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|
# Uploaded model
- Developed by: FabioSantos
- 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 | null | GGUF-IQ-Imatrix quants for NLPark/Test1_SLIDE as requested in [#27](https://huggingface.co/Lewdiculous/Model-Requests/discussions/27).
> [!IMPORTANT]
> **Updated!**
> These quants have been redone with the fixes from [llama.cpp/pull/6920](https://github.com/ggerganov/llama.cpp/pull/6920) in mind. <br>
> Use **Kobold... | {"license": "apache-2.0"} | Lewdiculous/Test1_SLIDE-GGUF-IQ-Imatrix | null | [
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"license:apache-2.0",
"region:us"
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#gguf #license-apache-2.0 #region-us
| GGUF-IQ-Imatrix quants for NLPark/Test1_SLIDE as requested in #27.
> [!IMPORTANT]
> Updated!
> These quants have been redone with the fixes from URL in mind. <br>
> Use KoboldCpp version 1.64 or higher.
> [!WARNING]
> Recommended presets here or here. <br>
> Use the latest version of KoboldCpp. Use the provided pre... | [] | [
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null | transformers |
# Llama3 Amharic Alpaca Tuned
Llama3 8B instruction tuned on an amharic translated alpaca [dataset](https://huggingface.co/datasets/iocuydi/amharic-alpaca).
Very token inefficient.
- **Developed by:** simonbutt
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
[<img src="https://... | {"language": ["en", "am"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["iocuydi/amharic-alpaca"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | simonbutt/am_llama3_alpaca | null | [
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|
# Llama3 Amharic Alpaca Tuned
Llama3 8B instruction tuned on an amharic translated alpaca dataset.
Very token inefficient.
- Developed by: simonbutt
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
<img src="URL width="200"/> | [
"# Llama3 Amharic Alpaca Tuned\n\nLlama3 8B instruction tuned on an amharic translated alpaca dataset.\n\nVery token inefficient. \n\n- Developed by: simonbutt\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\n\n<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/Kquant03/Eukaryote-8x7B-bf16
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Eukaryote-8x... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "moe"], "base_model": "Kquant03/Eukaryote-8x7B-bf16", "quantized_by": "mradermacher"} | mradermacher/Eukaryote-8x7B-bf16-GGUF | null | [
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#transformers #gguf #merge #moe #en #base_model-Kquant03/Eukaryote-8x7B-bf16 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_ChatGPT_tiny_Seed102 | null | [
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"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
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"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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### Direct Use
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text-generation | null |
## Llamacpp imatrix Quantizations of Meta-Llama-3-8B-Instruct (old)
<b>This conversion is based on the merged Llama 3 support in llama.cpp (release b2710)</b>
# This model is being deprecated in favour of the incoming conversion/quant with BPE tokenizers fixed. Will be here: https://huggingface.co/bartowski/Meta-Lla... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "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\"Agreemen... | bartowski/Meta-Llama-3-8B-Instruct-old-GGUF | null | [
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| Llamacpp imatrix Quantizations of Meta-Llama-3-8B-Instruct (old)
----------------------------------------------------------------
**This conversion is based on the merged Llama 3 support in URL (release b2710)**
This model is being deprecated in favour of the incoming conversion/quant with BPE tokenizers fixed. Wil... | [
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text-generation | transformers | # llama-3-aura-bophades-8B
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:
* [ResplendentAI/Aura_Uncen... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["ResplendentAI/Aura_Uncensored_l3_8B", "nbeerbower/llama-3-bophades-v2-8B"]} | nbeerbower/llama-3-aura-bophades-8B | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T00:12:42+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #base_model-ResplendentAI/Aura_Uncensored_l3_8B #base_model-nbeerbower/llama-3-bophades-v2-8B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # llama-3-aura-bophades-8B
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:
* ResplendentAI/Aura_Uncensored_l3_8B
* nbeerbower/llama-3-bopha... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_ChatGPT_tiny_Seed102 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
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- Language(s) (NLP):
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sarthakb/blip2-opt-2.7b-engfr-lora | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | transformers |
# Model Details
Uses ChatML but Alpaca probably works as well.
[Roleplaying presets for SillyTavern](https://huggingface.co/Virt-io/SillyTavern-Presets)
Configs copied from:
- [chargoddard/mistral-11b-slimorca](https://huggingface.co/chargoddard/mistral-11b-slimorca)
- [Replete-AI/Llama-3-11.5B-V2](https://huggingf... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "llama", "llama3"], "base_model": ["cognitivecomputations/dolphin-2.9-llama3-8b", "meta-llama/Meta-Llama-3-8B-Instruct"], "license_name": "llama3", "license_link": "LICENSE"} | Virt-io/Llama-3-Dolphin-Instruct-11.5B | null | [
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|
# Model Details
Uses ChatML but Alpaca probably works as well.
Roleplaying presets for SillyTavern
Configs copied from:
- chargoddard/mistral-11b-slimorca
- Replete-AI/Llama-3-11.5B-V2
- abacusai/TheProfessor-155b
A try at a larger llama3 model.
Using cognitivecomputations/dolphin-2.9-llama3-8b for an uncensored... | [
"# Model Details\n\nUses ChatML but Alpaca probably works as well.\n\nRoleplaying presets for SillyTavern\n\nConfigs copied from:\n- chargoddard/mistral-11b-slimorca\n- Replete-AI/Llama-3-11.5B-V2\n- abacusai/TheProfessor-155b\n\n\nA try at a larger llama3 model.\n\nUsing cognitivecomputations/dolphin-2.9-llama3-8b... | [
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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": []} | ShinoharaHare/phi-1_5-instruct-32k | 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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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. -->
# falcon-clf
This model is a fine-tuned version of [Rocketknight1/falcon-rw-1b](https://huggingface.co/Rocketknight1/falcon-rw-1b)... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Rocketknight1/falcon-rw-1b", "model-index": [{"name": "falcon-clf", "results": []}]} | suneeln-duke/falcon-clf | null | [
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| falcon-clf
==========
This model is a fine-tuned version of Rocketknight1/falcon-rw-1b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4504
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-srh66-Step1-test
This model is a fine-tuned version of [allistair99/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["srh_test66"], "base_model": "allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1", "model-index": [{"name": "distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-srh66-Step1-test", "results": []}]} | allistair99/distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-srh66-Step1-test | null | [
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"license:apache-2.0",
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|
# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-srh66-Step1-test
This model is a fine-tuned version of allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1 on the srh_test66 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
#... | [
"# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-srh66-Step1-test\n\nThis model is a fine-tuned version of allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1 on the srh_test66 dataset.",
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text-generation | 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. -->
# data
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Inst... | {"license": "apache-2.0", "library_name": "peft", "tags": ["text-generation", "alignment-handbook", "generated_from_trainer", "trl", "sft"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "data", "results": []}]} | edpowers/data | null | [
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"license:apache-2.0",
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| data
====
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1832
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# test_trainer
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "test_trainer", "results": []}]} | TazCaldwell/test_trainer | null | [
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| test\_trainer
=============
This model is a fine-tuned version of bert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6768
* Accuracy: 0.5854
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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": []} | tom-brady/6-230 | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers | # Starling-LM-7B-beta
<!-- Provide a quick summary of what the model is/does. -->
- **Developed by: The Nexusflow Team (** Banghua Zhu * , Evan Frick * , Tianhao Wu * , Hanlin Zhu, Karthik Ganesan, Wei-Lin Chiang, Jian Zhang, and Jiantao Jiao).
- **Model type:** Language Model finetuned with RLHF / RLAIF
- **License:... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["reward model", "RLHF", "RLAIF"], "datasets": ["berkeley-nest/Nectar"]} | codeIA/GuIA-v2 | null | [
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| # Starling-LM-7B-beta
- Developed by: The Nexusflow Team ( Banghua Zhu * , Evan Frick * , Tianhao Wu * , Hanlin Zhu, Karthik Ganesan, Wei-Lin Chiang, Jian Zhang, and Jiantao Jiao).
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Kukedlc/NeuralLlamita-3-8B-v0.2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "mlabonne/OrpoLlama-3-8B", "cognitivecomputations/dolphin-2.9-llama3-8b"], "base_model": "Kukedlc/NeuralLlamita-3-8B-v0.2", "quantized_by": "mradermacher"} | mradermacher/NeuralLlamita-3-8B-v0.2-GGUF | null | [
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"license:apache-2.0",
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] | TAGS
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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 |
# Uploaded model
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null | peft |
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null | peft |
# Model Card for Model ID
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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. -->
# mi-super-modelo
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "mi-super-modelo", "results": []}]} | AlonsoFU/mi-super-modelo | null | [
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| mi-super-modelo
===============
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: 1.5883
* Accuracy: 0.2
Model description
-----------------
More information needed
Intended uses & limitations
-------------------------... | [
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null | transformers |
# Model Card for Model ID
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### Model Description
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null | transformers |
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null | transformers |
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null | transformers |
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null | transformers |
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null | transformers |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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text-generation | transformers |
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null | peft |
# Model Card for Model ID
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null | transformers |
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "shrenikb/LLaMA0.5sparsity"} | shrenikb/5sparsity_adapter_model | null | [
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-shrenikb/LLaMA0.5sparsity #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/maywell/Llama-3-Synatra-11B-v1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "maywell/Llama-3-Synatra-11B-v1", "license_name": "llama3", "quantized_by": "mradermacher"} | mradermacher/Llama-3-Synatra-11B-v1-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-maywell/Llama-3-Synatra-11B-v1 #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-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": []} | tom-brady/6-246 | null | [
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"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #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:
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- Shared by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tom-brady/6-201 | null | [
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"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# tinyllama-mixpretrain-quinoa-sciphi
TinyLLaMA model with continued pretraining / full-model finetuning on amino acids and simulated science textbooks.
The goal is to a create models which understand amino acid sequences and natural language descriptions or Q&A.
Training data was shuffled with:
- 50% amino acid se... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["monsoon-nlp/greenbeing-proteins", "SciPhi/textbooks-are-all-you-need-lite"], "base_model": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T"} | monsoon-nlp/tinyllama-mixpretrain-quinoa-sciphi | null | [
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"text-generation",
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"base_model:TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
"license:apache-2.0",
"autotrain_compatible",
"endpo... | null | 2024-04-22T01:00:12+00:00 | [] | [] | TAGS
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# tinyllama-mixpretrain-quinoa-sciphi
TinyLLaMA model with continued pretraining / full-model finetuning on amino acids and simulated science textbooks.
The goal is to a create models which understand amino acid sequences and natural language descriptions or Q&A.
Training data was shuffled with:
- 50% amino acid se... | [
"# tinyllama-mixpretrain-quinoa-sciphi\n\nTinyLLaMA model with continued pretraining / full-model finetuning on amino acids and simulated science textbooks.\n\nThe goal is to a create models which understand amino acid sequences and natural language descriptions or Q&A.\n\nTraining data was shuffled with:\n- 50% am... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_6iters_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_6iters_iter_2](https://huggingface.co... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_6iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_6iters_iter_2", "model-index": [{"name": "0.0_ablation_6iters_iter_3", "results": []}]} | ZhangShenao/0.0_ablation_6iters_iter_3 | null | [
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"license:mit",
"autotrain_compatible",
"endpo... | null | 2024-04-22T01:00:26+00:00 | [] | [] | TAGS
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# 0.0_ablation_6iters_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_ablation_6iters_iter_2 on the ZhangShenao/0.0_ablation_6iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information... | [
"# 0.0_ablation_6iters_iter_3\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_6iters_iter_2 on the ZhangShenao/0.0_ablation_6iters_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation da... | [
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null | null |
# Multiverseex26Meliodas-7B
Multiverseex26Meliodas-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: allknowingroger/MultiverseEx26-7B-slerp
- model: AurelPx/M... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Multiverseex26Meliodas-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T01:00:45+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Multiverseex26Meliodas-7B
Multiverseex26Meliodas-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.22-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged]... | {"library_name": "peft", "tags": ["trl", "dpo", "DPO", "WeniGPT", "generated_from_trainer"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged", "model-index": [{"name": "WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.22-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.22-DPO | null | [
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"safetensors",
"trl",
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"DPO",
"WeniGPT",
"generated_from_trainer",
"base_model:Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged",
"region:us"
] | null | 2024-04-22T01:01:49+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #DPO #WeniGPT #generated_from_trainer #base_model-Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged #region-us
| WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.22-DPO
===========================================
This model is a fine-tuned version of Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1118
* Rewards/chosen: 1.8747
* Rewards/rejected: -0.98... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* ... | [
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.21-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparam... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.21-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.21-DPO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.21-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment on DPO with other hyperparameters and best SFT m... | [
"# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.21-DPO\n\nThis model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.\nDescription: Experiment on DPO with other hyperparameters and bes... | [
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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": []} | kwonsm/gpt2-tldr-dpo | null | [
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"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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"1910.09700"
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#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
## Model Details
### Model Description
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": []} | tom-brady/6-227 | null | [
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## Model Details
### Model Description
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text-generation | null | # Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel, PeftConfig
peft_model_id = "autores/aops_finetuned"
config = PeftConfig.from_pretrained(peft_model_id)
model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path)
model = PeftModel.from_pretrain... | {"language": ["en"], "tags": ["math", "aimo", "aops"], "pipeline_tag": "text-generation"} | autores/aops_finetuned | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/bart-large-cnn_v4_trained_on_500_lr_1e-4 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - krishna4244/uncbuild_LoRA
<Gallery />
## Model description
These are krishna4244/uncbuild_LoRA... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of hwtc building... | krishna4244/uncbuild_LoRA | null | [
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|
# SDXL LoRA DreamBooth - krishna4244/uncbuild_LoRA
<Gallery />
## Model description
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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. -->
# coding_llamaduo_result3
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the c... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["chansung/merged_ds_coding"], "base_model": "google/gemma-7b", "model-index": [{"name": "coding_llamaduo_result3", "results": []}]} | chansung/coding_llamaduo_result3 | null | [
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| coding\_llamaduo\_result3
=========================
This model is a fine-tuned version of google/gemma-7b on the chansung/merged\_ds\_coding dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7502
Model description
-----------------
More information needed
Intended uses & limitations
... | [
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [mlabon... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mlabonne/ChimeraLlama-3-8B", "mpasila/Llama-3-LimaRP-LoRA-8B"]} | WesPro/F1-Chimera-Hybrid-LimaRP-8B | 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 linear merge method.
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The following models were included in the merge:
* mlabonne/ChimeraLlama-3-8B + mpasila/Llama-3-LimaRP-LoRA-8B
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text-generation | transformers | # Llama-3-experimental-merge-trial1-8B
Built with Meta Llama 3.
This is an experimental 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 wer... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Nitral-AI/Poppy_Porpoise-v0.2-L3-8B", "Sao10K/L3-Solana-8B-v1"], "license_name": "llama3"} | grimjim/Llama-3-experimental-merge-trial1-8B | null | [
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| # Llama-3-experimental-merge-trial1-8B
Built with Meta Llama 3.
This is an experimental merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
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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. -->
# new_model
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the tel... | {"language": ["ko"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["aihub.or.kr"], "base_model": "openai/whisper-medium", "model-index": [{"name": "new_model", "results": []}]} | dmavkgo/new_model | null | [
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| new\_model
==========
This model is a fine-tuned version of openai/whisper-medium on the telephone dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6867
* Cer: 6.4516
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": []} | Mirgan/blip2-finetune-cxr | 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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fill-mask | transformers |
# HPLT Bert for Afrikaans
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the [HPLT project](https://hplt-project.org/).
It is a so called masked language models. In particular, we use... | {"language": ["af"], "license": "apache-2.0", "tags": ["BERT", "HPLT", "encoder"], "datasets": ["HPLT/hplt_monolingual_v1_2"], "inference": false} | HPLT/hplt_bert_base_af | null | [
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|
# HPLT Bert for Afrikaans
<img src="URL width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the HPLT project.
It is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.
A monolingual LTG-BERT model is... | [
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fill-mask | transformers |
# HPLT Bert for Arabic
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the [HPLT project](https://hplt-project.org/).
It is a so called masked language models. In particular, we used t... | {"language": ["ar"], "license": "apache-2.0", "tags": ["BERT", "HPLT", "encoder"], "datasets": ["HPLT/hplt_monolingual_v1_2"], "inference": false} | HPLT/hplt_bert_base_ar | null | [
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|
# HPLT Bert for Arabic
<img src="URL width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the HPLT project.
It is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.
A monolingual LTG-BERT model is tr... | [
"# HPLT Bert for Arabic\n\n<img src=\"URL width=12.5%>\n\nThis is one of the encoder-only monolingual language models trained as a first release by the HPLT project.\nIt is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.\n\nA monolingual LTG-BERT... | [
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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": []} | KvrParaskevi/Llama-2-7b-Hotel-Booking-Model-8Bit | null | [
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"8-bit",
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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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fill-mask | transformers |
# HPLT Bert for Azerbaijani
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the [HPLT project](https://hplt-project.org/).
It is a so called masked language models. In particular, we u... | {"language": ["az"], "license": "apache-2.0", "tags": ["BERT", "HPLT", "encoder"], "datasets": ["HPLT/hplt_monolingual_v1_2"], "inference": false} | HPLT/hplt_bert_base_az | null | [
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"region:us"
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"az"
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#transformers #pytorch #fill-mask #BERT #HPLT #encoder #custom_code #az #dataset-HPLT/hplt_monolingual_v1_2 #arxiv-2403.14009 #license-apache-2.0 #autotrain_compatible #region-us
|
# HPLT Bert for Azerbaijani
<img src="URL width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the HPLT project.
It is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.
A monolingual LTG-BERT model ... | [
"# HPLT Bert for Azerbaijani\n\n<img src=\"URL width=12.5%>\n\nThis is one of the encoder-only monolingual language models trained as a first release by the HPLT project.\nIt is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.\n\nA monolingual LTG... | [
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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. -->
# deberta-v3-xsmall-beavertails-harmful-qa-classifier
This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-xsmall", "model-index": [{"name": "deberta-v3-xsmall-beavertails-harmful-qa-classifier", "results": []}]} | domenicrosati/deberta-v3-xsmall-beavertails-harmful-qa-classifier | null | [
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| deberta-v3-xsmall-beavertails-harmful-qa-classifier
===================================================
This model is a fine-tuned version of microsoft/deberta-v3-xsmall on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3043
* Accuracy: 0.8716
* Macro F1: 0.8716
* Macro Preci... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 6e-06\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* lr\\_scheduler\\_warmup\\_ste... | [
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fill-mask | transformers |
# HPLT Bert for Belarusian
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the [HPLT project](https://hplt-project.org/).
It is a so called masked language models. In particular, we us... | {"language": ["be"], "license": "apache-2.0", "tags": ["BERT", "HPLT", "encoder"], "datasets": ["HPLT/hplt_monolingual_v1_2"], "inference": false} | HPLT/hplt_bert_base_be | null | [
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#transformers #pytorch #fill-mask #BERT #HPLT #encoder #custom_code #be #dataset-HPLT/hplt_monolingual_v1_2 #arxiv-2403.14009 #license-apache-2.0 #autotrain_compatible #region-us
|
# HPLT Bert for Belarusian
<img src="URL width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the HPLT project.
It is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.
A monolingual LTG-BERT model i... | [
"# HPLT Bert for Belarusian\n\n<img src=\"URL width=12.5%>\n\nThis is one of the encoder-only monolingual language models trained as a first release by the HPLT project.\nIt is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.\n\nA monolingual LTG-... | [
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fill-mask | transformers |
# HPLT Bert for Bulgarian
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the [HPLT project](https://hplt-project.org/).
It is a so called masked language models. In particular, we use... | {"language": ["bg"], "license": "apache-2.0", "tags": ["BERT", "HPLT", "encoder"], "datasets": ["HPLT/hplt_monolingual_v1_2"], "inference": false} | HPLT/hplt_bert_base_bg | null | [
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"arxiv:2403.14009",
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|
# HPLT Bert for Bulgarian
<img src="URL width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the HPLT project.
It is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.
A monolingual LTG-BERT model is... | [
"# HPLT Bert for Bulgarian\n\n<img src=\"URL width=12.5%>\n\nThis is one of the encoder-only monolingual language models trained as a first release by the HPLT project.\nIt is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.\n\nA monolingual LTG-B... | [
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fill-mask | transformers |
# HPLT Bert for Bengali
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the [HPLT project](https://hplt-project.org/).
It is a so called masked language models. In particular, we used ... | {"language": ["bn"], "license": "apache-2.0", "tags": ["BERT", "HPLT", "encoder"], "datasets": ["HPLT/hplt_monolingual_v1_2"], "inference": false} | HPLT/hplt_bert_base_bn | null | [
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"arxiv:2403.14009",
"license:apache-2.0",
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"2403.14009"
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|
# HPLT Bert for Bengali
<img src="URL width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the HPLT project.
It is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.
A monolingual LTG-BERT model is t... | [
"# HPLT Bert for Bengali\n\n<img src=\"URL width=12.5%>\n\nThis is one of the encoder-only monolingual language models trained as a first release by the HPLT project.\nIt is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.\n\nA monolingual LTG-BER... | [
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text-generation | transformers |
# 0-Roleplay
0-Roleplay is a chat model finetuned on light novel, visual novel and character conversation datasets.
The base model is from [IA_14B](https://huggingface.co/Minami-su/IA_14B) made by Minami-su, which is finetuned on [Qwen1.5-14B-Chat](https://huggingface.co/Qwen/Qwen1.5-14B-Chat).
## Usage
This repo ... | {"language": ["en", "zh"], "license": "other", "tags": ["roleplay"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-14B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Rorical/0-roleplay | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"roleplay",
"conversational",
"en",
"zh",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-22T01:13:15+00:00 | [] | [
"en",
"zh"
] | TAGS
#transformers #safetensors #llama #text-generation #roleplay #conversational #en #zh #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# 0-Roleplay
0-Roleplay is a chat model finetuned on light novel, visual novel and character conversation datasets.
The base model is from IA_14B made by Minami-su, which is finetuned on Qwen1.5-14B-Chat.
## Usage
This repo provides 4bit quantized weights. Here is an example:
Example output:
## Training Detail
... | [
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fill-mask | transformers |
# HPLT Bert for Catalan
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the [HPLT project](https://hplt-project.org/).
It is a so called masked language models. In particular, we used ... | {"language": ["ca"], "license": "apache-2.0", "tags": ["BERT", "HPLT", "encoder"], "datasets": ["HPLT/hplt_monolingual_v1_2"], "inference": false} | HPLT/hplt_bert_base_ca | null | [
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|
# HPLT Bert for Catalan
<img src="URL width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the HPLT project.
It is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.
A monolingual LTG-BERT model is t... | [
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fill-mask | transformers |
# HPLT Bert for Czech
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the [HPLT project](https://hplt-project.org/).
It is a so called masked language models. In particular, we used th... | {"language": ["cs"], "license": "apache-2.0", "tags": ["BERT", "HPLT", "encoder"], "datasets": ["HPLT/hplt_monolingual_v1_2"], "inference": false} | HPLT/hplt_bert_base_cs | null | [
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|
# HPLT Bert for Czech
<img src="URL width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the HPLT project.
It is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.
A monolingual LTG-BERT model is tra... | [
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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
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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 generate... | {"library_name": "transformers", "tags": []} | ykit/bert-base-japanese-v3-wrime-sentiment | 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:
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fill-mask | transformers |
# HPLT Bert for Welsh
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the [HPLT project](https://hplt-project.org/).
It is a so called masked language models. In particular, we used th... | {"language": ["cy"], "license": "apache-2.0", "tags": ["BERT", "HPLT", "encoder"], "datasets": ["HPLT/hplt_monolingual_v1_2"], "inference": false} | HPLT/hplt_bert_base_cy | null | [
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|
# HPLT Bert for Welsh
<img src="URL width=12.5%>
This is one of the encoder-only monolingual language models trained as a first release by the HPLT project.
It is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.
A monolingual LTG-BERT model is tra... | [
"# HPLT Bert for Welsh\n\n<img src=\"URL width=12.5%>\n\nThis is one of the encoder-only monolingual language models trained as a first release by the HPLT project.\nIt is a so called masked language models. In particular, we used the modification of the classic BERT model named LTG-BERT.\n\nA monolingual LTG-BERT ... | [
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