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text-generation | null |
## Llamacpp iMatrix Quantizations of L3-Solana-8B-v1
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2710">b2710</a> for quantization.
Original model: https://huggingface.co/Sao10K/L3-Solana-8B-v1
All quants made using imatr... | {"language": ["en"], "license": "cc-by-nc-4.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/L3-Solana-8B-v1-GGUF | null | [
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#gguf #text-generation #en #license-cc-by-nc-4.0 #region-us
| Llamacpp iMatrix Quantizations of L3-Solana-8B-v1
-------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Alpaca:
Vicuna:
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text-generation | transformers |
# MoEv4Config-TIESwithRescale-7b
MoEv4Config-TIESwithRescale-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kukedlc/NeuTrixOmniBe-7B-model-remix](https://huggingface.co/Kukedlc/NeuTrixOmniBe-7B-model-remix)
* [Petro... | {"tags": ["merge", "mergekit", "lazymergekit", "Kukedlc/NeuTrixOmniBe-7B-model-remix", "PetroGPT/WestSeverus-7B-DPO", "vanillaOVO/supermario_v4"], "base_model": ["Kukedlc/NeuTrixOmniBe-7B-model-remix", "PetroGPT/WestSeverus-7B-DPO", "vanillaOVO/supermario_v4"]} | jsfs11/MoEv4Config-TIESwithRescale-7b | null | [
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# MoEv4Config-TIESwithRescale-7b
MoEv4Config-TIESwithRescale-7b is a merge of the following models using LazyMergekit:
* Kukedlc/NeuTrixOmniBe-7B-model-remix
* PetroGPT/WestSeverus-7B-DPO
* vanillaOVO/supermario_v4
## Configuration
## Usage
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text-generation | transformers |
# WestStarling-7B-ties
WestStarling-7B-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
## 🧩 Configuration... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "senseable/WestLake-7B-v2", "Nexusflow/Starling-LM-7B-beta"]} | Sanaullah06/WestStarling-7B-ties | null | [
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|
# WestStarling-7B-ties
WestStarling-7B-ties is a merge of the following models using mergekit:
* senseable/WestLake-7B-v2
* Nexusflow/Starling-LM-7B-beta
## Configuration
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null | null | # from checkpoint 3500.
# training xsum(90K) 1ep | {} | MLP-Lemma/Lemma-sft-xsum-90k-1ep | null | [
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null | transformers | ---
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base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
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feature-extraction | transformers |
Curriculum Learning for Infant-Inspired Model Building– **ENGLISH**
Trained by Suchir Salhan (23/04/2024, Part III CST) | {"language": ["en"], "license": "mit", "datasets": ["cambridge-climb/BabyLM"]} | cambridge-climb/climb-roberta_pre_layer_norm-model | null | [
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text-generation | transformers |
# Model Card for Model ID
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## 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": []} | domenicrosati/adversarial_loss_lr_1e-5_attack_meta-llama_Llama-2-7b-chat-hf_4_num_layers_6_8e-5_1k | null | [
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null | peft |
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null | null |
# Strangemerges_32T3qm7-7B
Strangemerges_32T3qm7-7B 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: Gille/StrangeMerges_32-7B-slerp
- model: nlpguy/T3QM7
merge_... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Strangemerges_32T3qm7-7B | null | [
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# Strangemerges_32T3qm7-7B
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text-generation | transformers | <!-- header start -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://www.astronomer.io/logo/astronomer-logo-RGB-standard-1200px.png" alt="Astronomer" style="width: 60%; min-width: 400px; display: block; margin: auto;">
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<div style="margin-top: 1.0em; margin-bottom: 1.0em;"></di... | {"license": "other", "tags": ["llama", "llama-3", "facebook", "meta", "astronomer", "pretrained", "finetuned", "autotrain_compatible", "endpoints_compatible"], "model_name": "Meta-Llama-3-8B", "base_model": "meta-llama/Meta-Llama-3-8B", "inference": false, "model_creator": "astronomer-io", "model_type": "llama", "pipel... | astronomer/Llama-3-8B-Special-Tokens-Adjusted | null | [
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"region:us"
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="URL alt="Astronomer" style="width: 60%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="margin-top: 1.0em; margin-bottom: 1.0em;"></div>
<div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-... | [
"# Llama-3-8B-Special-Tokens-Adjusted\n- Ideal and stable Llama-3-8B for fine-tuning.\n- Original Model creator: Meta\n- Original model: meta-llama/Meta-Llama-3-8B\n- The usage of this model must abide by the Llama 3 Community License. \n- Built with Meta Llama 3\n- Created by David Xue from Astronomer",
"## Desc... | [
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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": []} | jeongmi/solar_insta_chai_80_final | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
Meta's Llama 3 70B pruned to 42B parameters using the methodology described in [The Unreasonable Ineffectiveness of the Deeper Layers](https://arxiv.org/abs/2403.17887). Post-pruning trained using QLoRA for ~100M tokens from [JeanKaddour/minipile](https://huggingface.co/datasets/JeanKaddour/minipile).
Layers to prune... | {"language": ["en"], "license": "other", "tags": ["axolotl", "mergekit", "llama"], "datasets": ["JeanKaddour/minipile"]} | lucyknada/chargoddard_llama3-42b-v0-4.0bpw-EXL2 | null | [
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| Meta's Llama 3 70B pruned to 42B parameters using the methodology described in The Unreasonable Ineffectiveness of the Deeper Layers. Post-pruning trained using QLoRA for ~100M tokens from JeanKaddour/minipile.
Layers to prune selected using PruneMe.
Still evaluating, don't get too excited! Might be incredibly dumb... | [] | [
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translation | transformers.js | ERROR: type should be string, got "\n\nhttps://hf.co/VietAI/envit5-translation with ONNX weights to be compatible with Transformers.js.\n\nPlease check out this demo using the model:\n[](https://huggingface.co/spaces/huuquyet/translator-tamagui)\n\n\n# EnViT5 Translation\n\nState-of-the-art English-Vietnamese and Vietnamese-English Translation models trained on [MTet](https://research.vietai.org/mtet/), [PhoMT](https://github.com/VinAIResearch/PhoMT).\n\n## Results\n\n\n\n## Citation\n```\n@misc{https://doi.org/10.48550/arxiv.2210.05610,\n doi = {10.48550/ARXIV.2210.05610},\n author = {Ngo, Chinh and Trinh, Trieu H. and Phan, Long and Tran, Hieu and Dang, Tai and Nguyen, Hieu and Nguyen, Minh and Luong, Minh-Thang},\n title = {MTet: Multi-domain Translation for English and Vietnamese},\n publisher = {arXiv},\n year = {2022},\n}\n```" | {"language": ["vi", "en"], "license": "wtfpl", "library_name": "transformers.js", "pipeline_tag": "translation"} | huuquyet/envit5-translation | null | [
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|
URL with ONNX weights to be compatible with URL.
Please check out this demo using the model:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nbeerbower/llama-3-aura-bophades-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "nbeerbower/llama-3-aura-bophades-8B", "quantized_by": "mradermacher"} | mradermacher/llama-3-aura-bophades-8B-GGUF | null | [
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#transformers #gguf #mergekit #merge #en #base_model-nbeerbower/llama-3-aura-bophades-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... | [] | [
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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. -->
# news-summarization-finetuned-mistral-7b
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "news-summarization-finetuned-mistral-7b", "results": []}]} | anhvu2501/news-summarization-finetuned-mistral-7b | null | [
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#peft #safetensors #mistral #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| news-summarization-finetuned-mistral-7b
=======================================
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: 2.0379
Model description
-----------------
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": []} | Rimyy/Gpt2FineTuneMath | null | [
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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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SkwarczynskiP/roberta-base-finetuned-vedantgaur-human-generated | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | zzttbrdd/sn6_06l | null | [
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|
# Model Card for Model ID
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### 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. -->
# Llama-2-7b-chat-hf_fictional_chinese_v2
This model is a fine-tuned version of [yzhuang/Llama-2-7b-chat-hf_fictional_chinese_v1](... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "yzhuang/Llama-2-7b-chat-hf_fictional_chinese_v1", "model-index": [{"name": "Llama-2-7b-chat-hf_fictional_chinese_v2", "results": []}]} | yzhuang/Llama-2-7b-chat-hf_fictional_chinese_v2 | null | [
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|
# Llama-2-7b-chat-hf_fictional_chinese_v2
This model is a fine-tuned version of yzhuang/Llama-2-7b-chat-hf_fictional_chinese_v1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | selimyagci/bert-hate-de | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T04:15:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #text-classification #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... | [
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"## Model Details",
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SkwarczynskiP/roberta-base-finetuned-vedantgaur-AI-generated | null | [
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"safetensors",
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"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-22T04:16:34+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #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",
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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)
Meta-Llama-3-8B - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/met... | {} | RichardErkhov/meta-llama_-_Meta-Llama-3-8B-4bits | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-22T04:16:39+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Meta-Llama-3-8B - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
pipeline\_tag: text-generation
tags:
* facebook
* meta
* pytorch
* llama
* llama-3
license... | [
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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)
Meta-Llama-3-8B-Instruct - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingfa... | {} | RichardErkhov/meta-llama_-_Meta-Llama-3-8B-Instruct-4bits | null | [
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"llama",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-22T04:17:05+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Meta-Llama-3-8B-Instruct - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
pipeline\_tag: text-generation
tags:
* facebook
* meta
* pytorch
* llama
* llama-... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | yunkimmy/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-22T04:17:48+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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null | null |
# hus960/dolphin-2.8-mistral-7b-v02-Q4_K_M-GGUF
This model was converted to GGUF format from [`cognitivecomputations/dolphin-2.8-mistral-7b-v02`](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["cognitivecomputations/dolphin", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "jondurbin/airoboros-2.2.1", "teknium/openhermes-2.5", "m-a-p/Code-Feedback", "m-a-p/CodeFeedback-Filtered-Inst... | hus960/dolphin-2.8-mistral-7b-v02-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:cognitivecomputations/dolphin",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:jondurbin/airoboros-2.2.1",
"dataset:teknium/openhermes-2.5",
"dataset:m-a-p/Code-Feedback",
"dataset:m-a-p/C... | null | 2024-04-22T04:18:34+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-cognitivecomputations/dolphin #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-jondurbin/airoboros-2.2.1 #dataset-teknium/openhermes-2.5 #dataset-m-a-p/Code-Feedback #dataset-m-a-p/CodeFeedback-Filtered-Instruction #base_... |
# hus960/dolphin-2.8-mistral-7b-v02-Q4_K_M-GGUF
This model was converted to GGUF format from 'cognitivecomputations/dolphin-2.8-mistral-7b-v02' 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 ... | [
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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_Seed105 | null | [
"peft",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
] | null | 2024-04-22T04:18:51+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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"## Model Details",
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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_Seed105 | null | [
"peft",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
] | null | 2024-04-22T04:18:55+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [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": []} | saransh03sharma/mintrec2-mistral-2-7b-100 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T04:19:19+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #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.
- 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 #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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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)
Meta-Llama-3-8B - bnb 8bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/met... | {} | RichardErkhov/meta-llama_-_Meta-Llama-3-8B-8bits | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-22T04:22:19+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Meta-Llama-3-8B - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
pipeline\_tag: text-generation
tags:
* facebook
* meta
* pytorch
* llama
* llama-3
license... | [
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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)
Meta-Llama-3-8B-Instruct - bnb 8bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingfa... | {} | RichardErkhov/meta-llama_-_Meta-Llama-3-8B-Instruct-8bits | null | [
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"region:us"
] | null | 2024-04-22T04:23:05+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Meta-Llama-3-8B-Instruct - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
pipeline\_tag: text-generation
tags:
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* meta
* pytorch
* llama
* llama-... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | APLunch/ppo-PyramidsRND | null | [
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"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
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text-generation | transformers |
AWQ 4-bit Quantized Llama-3 8B Instruct Model
Model Version: 1.0
Model Creator: CollAIborator (https://www.collaiborate.com)
Model Overview: This repo contains 4 Bit quantized AWQ model files from meta-llama/Meta-Llama-3-8B-Instruct. This model is an optimized version to run on lower config GPUs and comes with a sm... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["text-generation-inference", "quantized", "awq", "llama"]} | SrikanthChellappa/Meta-Llama-3-8B-Instruct-AWQ-4Bit | null | [
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|
AWQ 4-bit Quantized Llama-3 8B Instruct Model
Model Version: 1.0
Model Creator: CollAIborator (URL)
Model Overview: This repo contains 4 Bit quantized AWQ model files from meta-llama/Meta-Llama-3-8B-Instruct. This model is an optimized version to run on lower config GPUs and comes with a small quality degradation f... | [] | [
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | vijayvarmak/gemma-Instruct-Finetune-test | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | transformers |
# Uploaded model
- **Developed by:** ojasviyadav
- **License:** apache-2.0
- **Finetuned from model :** gemma-7b-bnb-4bit
| {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "gemma", "trl", "unsloth"], "base_model": "gemma-7b-bnb-4bit"} | ojasviyadav/gemma_it_intent | null | [
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|
# Uploaded model
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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. -->
# my_awesome_eli5_clm-model_dialo
This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsof... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "microsoft/DialoGPT-small", "model-index": [{"name": "my_awesome_eli5_clm-model_dialo", "results": []}]} | jyuwang/my_awesome_eli5_clm-model_dialo | null | [
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"tensorboard",
"safetensors",
"gpt2",
"text-generation",
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"license:mit",
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| my\_awesome\_eli5\_clm-model\_dialo
===================================
This model is a fine-tuned version of microsoft/DialoGPT-small on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.7729
Model description
-----------------
More information needed
Intended use... | [
"### 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",
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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": []} | jeongmi/solar_insta_upnormal_80_final | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "results", "results": []}]} | VIN-IT/results | null | [
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| results
=======
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2907
* Rouge1: 0.4527
* Rouge2: 0.3281
* Rougel: 0.4353
* Rougelsum: 0.4353
Model description
-----------------
More information needed
Intended u... | [
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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)
Meta-Llama-Guard-2-8B - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.... | {} | RichardErkhov/meta-llama_-_Meta-Llama-Guard-2-8B-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Meta-Llama-Guard-2-8B - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
pipeline\_tag: text-generation
tags:
* facebook
* meta
* pytorch
* llama
* llama-3
l... | [
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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_21 | null | [
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|
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- Funded by [optional]:
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- Model type:
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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)
Meta-Llama-Guard-2-8B - bnb 8bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.... | {} | RichardErkhov/meta-llama_-_Meta-Llama-Guard-2-8B-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Meta-Llama-Guard-2-8B - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
pipeline\_tag: text-generation
tags:
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l... | [
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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. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
AWQ 4-bit Quantized Mistral-7B-Instruct-v0.2 Model
Model Version: 1.0
Model Creator: CollAIborator (https://www.collaiborate.com)
Model Overview: This repo contains 4 Bit quantized AWQ model files from mistralai/Mistral-7B-Instruct-v0.2. This model is an optimized version to run on lower config GPUs and comes with ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "finetuned", "mistral", "awq"]} | SrikanthChellappa/Mistral-7B-Instruct-v0.2-AWQ-4Bit | null | [
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AWQ 4-bit Quantized Mistral-7B-Instruct-v0.2 Model
Model Version: 1.0
Model Creator: CollAIborator (URL)
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text-generation | transformers | # Meta-Llama-3-8B INT4 Quantized
- INT-4 quantized version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) created using OpenVINO
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned g... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "openvino", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B"} | rajatkrishna/Meta-Llama-3-8B-OpenVINO-INT4 | null | [
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| # Meta-Llama-3-8B INT4 Quantized
- INT-4 quantized version of meta-llama/Meta-Llama-3-8B created using OpenVINO
## Model Details
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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. -->
# wav2vec2-large-xls-r-300m-firdous-ml-colab
This model is a fine-tuned version of [gvs/wav2vec2-large-xlsr-malayalam](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "base_model": "gvs/wav2vec2-large-xlsr-malayalam", "model-index": [{"name": "wav2vec2-large-xls-r-300m-firdous-ml-colab", "results": []}]} | f77777/wav2vec2-large-xls-r-300m-firdous-ml-colab | null | [
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|
# wav2vec2-large-xls-r-300m-firdous-ml-colab
This model is a fine-tuned version of gvs/wav2vec2-large-xlsr-malayalam on the common_voice_13_0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
##... | [
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null | peft |
# Model Card for Model ID
<!-- 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": "huggyllama/llama-7b"} | shrenikb/wanda0sparsityagg | null | [
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text-generation | transformers |
# aqua-smaug-0.2-8B
aqua-smaug-0.2-8B is a merge of the following models using [Mergekit](https://github.com/arcee-ai/mergekit):
* [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)
* [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Sma... | {"tags": ["merge", "mergekit", "cognitivecomputations/dolphin-2.9-llama3-8b", "abacusai/Llama-3-Smaug-8B", "meta-llama/Meta-Llama-3-8B"], "base_model": ["cognitivecomputations/dolphin-2.9-llama3-8b", "abacusai/Llama-3-Smaug-8B", "meta-llama/Meta-Llama-3-8B"]} | saucam/aqua-smaug-0.2-8B | null | [
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# aqua-smaug-0.2-8B
aqua-smaug-0.2-8B is a merge of the following models using Mergekit:
* cognitivecomputations/dolphin-2.9-llama3-8b
* abacusai/Llama-3-Smaug-8B
* meta-llama/Meta-Llama-3-8B
## Configuration
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | saransh03sharma/mintrec2-mistral-2-7b-50 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** redmojo7
- **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"} | redmojo7/llama-3-8b-it-finetune-20 | null | [
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# Uploaded model
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<img src="URL width="200"/>
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-large-coedit
This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) on an unkn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-large", "model-index": [{"name": "t5-large-coedit", "results": []}]} | iliazlobin/t5-large-coedit | null | [
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| t5-large-coedit
===============
This model is a fine-tuned version of google-t5/t5-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5679
* Rouge1: 0.6412
* Rouge2: 0.5082
* Rougel: 0.6068
* Rougelsum: 0.6066
* Sacreblue: 25.9478
* Memory Used: 4111.5
* Cuda Allocated: ... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | aravindhank/dq-bert-text2sql | null | [
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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_4
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_5iters_iter_3](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_3", "model-index": [{"name": "0.0_ablation_5iters_iter_4", "results": []}]} | ZhangShenao/0.0_ablation_5iters_iter_4 | null | [
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# 0.0_ablation_5iters_iter_4
This model is a fine-tuned version of ZhangShenao/0.0_ablation_5iters_iter_3 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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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": []} | ohsuz/ohsuz-fin-warm-start | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | AWQ 4-bit Quantized Llama-3 8B Instruct Model
Model Version: 1.0
Model Creator: CollAIborator (https://www.collaiborate.com)
Model Overview: This repo contains 4 Bit quantized AWQ model files from meta-llama/Meta-Llama-3-8B-Instruct. This model is an optimized version to run on lower config GPUs and comes with a sma... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["text-generation-inference", "quantized", "awq", "llama"]} | collAIborate/Meta-Llama-3-8B-Instruct-AWQ-4Bit | null | [
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| AWQ 4-bit Quantized Llama-3 8B Instruct Model
Model Version: 1.0
Model Creator: CollAIborator (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": []} | jeongmi/solar_musinsa_user0_100 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SkwarczynskiP/roberta-base-finetuned-dmitva-AI-and-human-generated | null | [
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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. -->
# V0422MADP1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP1", "results": []}]} | Litzy619/V0422MADP1 | null | [
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| V0422MADP1
==========
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: 0.0322
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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null | null |
<p align="center">
<img width=400 src="https://cdn-uploads.huggingface.co/production/uploads/64b63f8ad57e02621dc93c8b/kg3QjQOde0X743csGJT-f.png" alt="Suzume - a Japanese tree sparrow"/>
</p>
# Suzume
This Suzume 8B, a Japanese finetune of Llama 3.
Llama 3 has exhibited excellent performance on many English langua... | {"license": "other", "tags": ["generated_from_trainer"], "license_name": "llama-3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/raw/main/LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "workspace/llm_training/axolotl/llama3-ja/output_openchat_megag... | lightblue/suzume-llama-3-8B-japanese-gguf | null | [
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|

Suzume
======
This Suzume 8B, a Japanese finetune of Llama 3.
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We have fine-tun... | [
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text-generation | transformers |
### Medichat-Llama3-8B
Built upon the powerful LLaMa-3 architecture and fine-tuned on an extensive dataset of health information, this model leverages its vast medical knowledge to offer clear, comprehensive answers.
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Undi9... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "datasets": ["mlabonne/orpo-dpo-mix-40k", "Open-Orca/SlimOrca-Dedup", "jondurbin/airoboros-3.2", "microsoft/orca-math-word-problems-200k", "m-a-p/Code-Feedback", "MaziyarPanahi/WizardLM_evol_instruct_V2_196k", "ruslanmv/ai-medical-chatb... | sethuiyer/Medichat-Llama3-8B | null | [
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"data... | null | 2024-04-22T05:07:13+00:00 | [] | [] | TAGS
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### Medichat-Llama3-8B
Built upon the powerful LLaMa-3 architecture and fine-tuned on an extensive dataset of health information, this model leverages its vast medical knowledge to offer clear, comprehensive answers.
The following YAML configuration was used to produce this model:
### Usage:
| [
"### Medichat-Llama3-8B\n\nBuilt upon the powerful LLaMa-3 architecture and fine-tuned on an extensive dataset of health information, this model leverages its vast medical knowledge to offer clear, comprehensive answers.\n\n\nThe following YAML configuration was used to produce this model:",
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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"]} | julioearth/carov3 | 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 | 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. -->
# gpt2-Therapy
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## Model descript... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "gpt2-Therapy", "results": []}]} | eeshakrishna2002/gpt2-Therapy | null | [
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|
# gpt2-Therapy
This model is a fine-tuned version of gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyper... | [
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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-sft-qlora
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignm... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-qlora", "results": []}]} | shgao/zephyr-7b-sft-qlora | null | [
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| zephyr-7b-sft-qlora
===================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9525
Model description
-----------------
More information needed
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam wit... | [
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null | transformers |
<p align="center">
<img src="sealmmm.png" width="200" />
</p>
> SeaLLM will be able to "see"!
# *SeaLMMM-7B* - Large Multilingual Multimodal Models for Southeast Asia
<p align="center">
<a href="https://damo-nlp-sg.github.io/SeaLLMs/" target="_blank" rel="noopener">Website</a>
<a href="https://huggi... | {"language": ["en", "zh", "vi", "id", "th", "ms", "km", "lo", "my", "tl"], "license": "other", "tags": ["multilingual", "sea"], "license_name": "seallms", "license_link": "https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE"} | SeaLLMs/SeaLMMM-7B-v0.1 | null | [
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|

>
> SeaLLM will be able to "see"!
>
>
>
*SeaLMMM-7B* - Large Multilingual Multimodal Models for Southeast Asia
======================================================================
[Website](URL target=)
[Tech Memo](URL target=)
[DEMO](URL target=)
[Github](URL target=)
[Technical ... | [
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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. -->
# V0422MADP3
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP3", "results": []}]} | Litzy619/V0422MADP3 | null | [
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| V0422MADP3
==========
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: 0.0571
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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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": []} | Sajjo/w2v-bert-2.0-tamil-gpu-custom_16_1_v9 | 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 | 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. -->
# V0422MADP4
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP4", "results": []}]} | Litzy619/V0422MADP4 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #region-us
| V0422MADP4
==========
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: 0.0571
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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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_envs_claim1
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_envs_claim1", "results": []}]} | Haimee/mistral_envs_claim1 | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T05:12:26+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# mistral_envs_claim1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
"# mistral_envs_claim1\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.",
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"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us \n# mistral_envs_claim1\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.## Model description\n\nMore information need... |
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. -->
# V0422MADP5
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP5", "results": []}]} | Litzy619/V0422MADP5 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"region:us"
] | null | 2024-04-22T05:14:12+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #region-us
| V0422MADP5
==========
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: 0.0611
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... | [
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text-generation | transformers |
# 日本語向け Llama 3 8B

# はじめに
このリポジトリはLlama 3を日本語化しようとしたモデルのリポジトリです。**4/23に更新**したため、新しくダウンロードすることをオススメします。
# ライセンス
[Llama 3 ライセンス](LICENSE)なので商用利用可能です。ただし、Llama 3ライセンスをよく読んで使ってください。
# 使い方
手っ取り早くやるなら[デモ](https://huggingface.co/spaces/alfredplpl/Llama-3-8B-Instruct-Ja-Demo)を使ってください。次点は[Colab... | {"language": ["en", "ja"], "license": "other", "library_name": "transformers", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "datasets": ["cl-nagoya/auto-wiki-qa", "llm-jp/databricks-dolly-15k-ja"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "license_name": "llama3", "license_link": "LICENSE"} | alfredplpl/Llama-3-8B-Instruct-Ja | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
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"pytorch",
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"dataset:llm-jp/databricks-dolly-15k-ja",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"autotrain_c... | null | 2024-04-22T05:14:32+00:00 | [] | [
"en",
"ja"
] | TAGS
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# 日本語向け Llama 3 8B
!eyecatch
# はじめに
このリポジトリはLlama 3を日本語化しようとしたモデルのリポジトリです。4/23に更新したため、新しくダウンロードすることをオススメします。
# ライセンス
Llama 3 ライセンスなので商用利用可能です。ただし、Llama 3ライセンスをよく読んで使ってください。
# 使い方
手っ取り早くやるならデモを使ってください。次点はColabがおすすめです。
ローカルでやる場合は次のとおりです。
まず、ライブラリを次のようにインストールします。
その後、以下のコードを実行してください。
次のような結果が得られるはずです。
# 学... | [
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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. -->
# V0422MADP6
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP6", "results": []}]} | Litzy619/V0422MADP6 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"region:us"
] | null | 2024-04-22T05:14:44+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #region-us
| V0422MADP6
==========
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: 0.0611
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... | [
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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. -->
# V0422MADP7
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP7", "results": []}]} | Litzy619/V0422MADP7 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"region:us"
] | null | 2024-04-22T05:15:22+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #region-us
| V0422MADP7
==========
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: 0.0616
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... | [
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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. -->
# V0422MADP8
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP8", "results": []}]} | Litzy619/V0422MADP8 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"region:us"
] | null | 2024-04-22T05:15:41+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #region-us
| V0422MADP8
==========
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: 0.0616
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... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# all_2490_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "all_2490_bart-base", "results": []}]} | baek26/all_2490_bart-base | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/bart-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T05:15:42+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| all\_2490\_bart-base
====================
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0206
* Rouge1: 0.2426
* Rouge2: 0.1208
* Rougel: 0.2025
* Rougelsum: 0.2266
* Gen Len: 19.9945
Model description
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 20\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 512\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
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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="DNA-55/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
en... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/- ... | DNA-55/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-22T05:16:05+00:00 | [] | [] | TAGS
#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 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_5iters_bs256_iter_4
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_5iters_bs256_iter_3](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_5iters_bs256_iter_3", "model-index": [{"name": "0.001_ablation_5iters_bs256_iter_4", "results": []}]} | ShenaoZ/0.001_ablation_5iters_bs256_iter_4 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:updated",
"dataset:original",
"base_model:ShenaoZ/0.001_ablation_5iters_bs256_iter_3",
"license:mit",
"autotrain_compatible",
"endpoints_c... | null | 2024-04-22T05:16:34+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZ/0.001_ablation_5iters_bs256_iter_3 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.001_ablation_5iters_bs256_iter_4
This model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_iter_3 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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null | null |
# NotAiLOL/Boundary-Coder-Yi-2x6B-MoE-Q4_K_M-GGUF
This model was converted to GGUF format from [`NotAiLOL/Boundary-Coder-Yi-2x6B-MoE`](https://huggingface.co/NotAiLOL/Boundary-Coder-Yi-2x6B-MoE) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [o... | {"license": "apache-2.0", "tags": ["moe", "merge", "mergekit", "01-ai/Yi-6B-Chat", "HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca", "llama-cpp", "gguf-my-repo"], "base_model": ["01-ai/Yi-6B-Chat", "HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca"]} | NotAiLOL/Boundary-Coder-Yi-2x6B-MoE-Q4_K_M-GGUF | null | [
"gguf",
"moe",
"merge",
"mergekit",
"01-ai/Yi-6B-Chat",
"HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca",
"llama-cpp",
"gguf-my-repo",
"base_model:01-ai/Yi-6B-Chat",
"base_model:HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T05:19:00+00:00 | [] | [] | TAGS
#gguf #moe #merge #mergekit #01-ai/Yi-6B-Chat #HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca #llama-cpp #gguf-my-repo #base_model-01-ai/Yi-6B-Chat #base_model-HenryJJ/Instruct_Yi-6B_Dolly_CodeAlpaca #license-apache-2.0 #region-us
|
# NotAiLOL/Boundary-Coder-Yi-2x6B-MoE-Q4_K_M-GGUF
This model was converted to GGUF format from 'NotAiLOL/Boundary-Coder-Yi-2x6B-MoE' 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.... | [
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text-generation | transformers |

# 💦 aqua-smaug-0.3-8B 🐉
aqua-smaug-0.3-8B is a merge of the following models using [Mergekit](https://github.com/arcee-ai/mergekit):
* [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llam... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "cognitivecomputations/dolphin-2.9-llama3-8b", "abacusai/Llama-3-Smaug-8B", "meta-llama/Meta-Llama-3-8B"], "base_model": ["cognitivecomputations/dolphin-2.9-llama3-8b", "abacusai/Llama-3-Smaug-8B", "meta-llama/Meta-Llama-3-8B"]} | saucam/aqua-smaug-0.3-8B | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"merge",
"mergekit",
"cognitivecomputations/dolphin-2.9-llama3-8b",
"abacusai/Llama-3-Smaug-8B",
"meta-llama/Meta-Llama-3-8B",
"conversational",
"base_model:cognitivecomputations/dolphin-2.9-llama3-8b",
"base_model:abacusai/Llama-3-Sma... | null | 2024-04-22T05:19:10+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #cognitivecomputations/dolphin-2.9-llama3-8b #abacusai/Llama-3-Smaug-8B #meta-llama/Meta-Llama-3-8B #conversational #base_model-cognitivecomputations/dolphin-2.9-llama3-8b #base_model-abacusai/Llama-3-Smaug-8B #base_model-meta-llama/Meta-Llama-3-8... |  on an unknown datase... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP1A", "results": []}]} | Litzy619/V0422MADP1A | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"region:us"
] | null | 2024-04-22T05:19:27+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #region-us
| V0422MADP1A
===========
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: 0.1496
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### 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... | [
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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. -->
# V0422MADP2A
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP2A", "results": []}]} | Litzy619/V0422MADP2A | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-22T05:19:40+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP2A
===========
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: 0.1496
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### 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... | [
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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. -->
# xlsr-wav2vec2-model
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "xlsr-wav2vec2-model", "results": []}]} | akhikhan123/xlsr-wav2vec2-model | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/wav2vec2-xls-r-300m",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T05:19:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-xls-r-300m #license-apache-2.0 #endpoints_compatible #region-us
|
# xlsr-wav2vec2-model
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training pro... | [
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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. -->
# V0422MADP3A
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP3A", "results": []}]} | Litzy619/V0422MADP3A | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"region:us"
] | null | 2024-04-22T05:20:06+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #region-us
| V0422MADP3A
===========
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: 0.1470
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### 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... | [
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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. -->
# V0422MADP4A
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP4A", "results": []}]} | Litzy619/V0422MADP4A | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"region:us"
] | null | 2024-04-22T05:20:13+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #region-us
| V0422MADP4A
===========
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: 0.1470
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### 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... | [
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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. -->
# output
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "output", "results": []}]} | Abhi964/sexism-identification-bert | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T05:20:32+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# output
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0141
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
"# output\n\nThis model is a fine-tuned version of bert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 1.0141",
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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. -->
# V0422MADP7A
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP7A", "results": []}]} | Litzy619/V0422MADP7A | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"region:us"
] | null | 2024-04-22T05:21:05+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #region-us
| V0422MADP7A
===========
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: 0.1474
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### 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... | [
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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. -->
# V0422MADP6A
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP6A", "results": []}]} | Litzy619/V0422MADP6A | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"region:us"
] | null | 2024-04-22T05:21:12+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #region-us
| V0422MADP6A
===========
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: 0.1488
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### 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... | [
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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. -->
# V0422MADP5A
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP5A", "results": []}]} | Litzy619/V0422MADP5A | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"region:us"
] | null | 2024-04-22T05:21:12+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #region-us
| V0422MADP5A
===========
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: 0.1488
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### 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... | [
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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. -->
# V0422MADP8A
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP8A", "results": []}]} | Litzy619/V0422MADP8A | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-22T05:21:30+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP8A
===========
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: 0.1474
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
"### 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... | [
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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. -->
# LoRA text2image fine-tuning - StarGazer-Media/pokemon-lora-MANOJ
These are LoRA adaption weights for runwayml/stable-dif... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "runwayml/... | StarGazer-Media/pokemon-lora-manoj | null | [
"diffusers",
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"diffusers-training",
"lora",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-22T05:26:55+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us
|
# LoRA text2image fine-tuning - StarGazer-Media/pokemon-lora-MANOJ
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the akadhim-ai/martin_valen_dataset dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
## Intended uses & li... | [
"# LoRA text2image fine-tuning - StarGazer-Media/pokemon-lora-MANOJ\nThese are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the akadhim-ai/martin_valen_dataset dataset. You can find some example images in the following. \n\n!img_0\n!img_1\n!img_2\n!img_3",
"## Intended ... | [
"TAGS\n#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us \n",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/drabcln | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T05:26:56+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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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. -->
# doodle_mobilenet
This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_... | {"license": "other", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/mobilenet_v2_1.0_224", "model-index": [{"name": "doodle_mobilenet", "results": []}]} | JoshuaKelleyDs/doodle-MobileNetV2-finetune | null | [
"transformers",
"onnx",
"safetensors",
"mobilenet_v2",
"image-classification",
"generated_from_trainer",
"base_model:google/mobilenet_v2_1.0_224",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T05:26:59+00:00 | [] | [] | TAGS
#transformers #onnx #safetensors #mobilenet_v2 #image-classification #generated_from_trainer #base_model-google/mobilenet_v2_1.0_224 #license-other #autotrain_compatible #endpoints_compatible #region-us
| doodle\_mobilenet
=================
This model is a fine-tuned version of google/mobilenet\_v2\_1.0\_224 on the
Quick, Draw! small dataset
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation da... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0008\n* train\\_batch\\_size: 512\n* eval\\_batch\\_size: 512\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10\n* mixed\\_... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* ... | [
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null | null |
# cleatherbury/Mistral-22B-v0.2-Q5_K_S-GGUF
This model was converted to GGUF format from [`Vezora/Mistral-22B-v0.2`](https://huggingface.co/Vezora/Mistral-22B-v0.2) 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://hu... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | cleatherbury/Mistral-22B-v0.2-Q5_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T05:28:38+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# cleatherbury/Mistral-22B-v0.2-Q5_K_S-GGUF
This model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' 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:
... | [
"# cleatherbury/Mistral-22B-v0.2-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' 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.\n... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# cleatherbury/Mistral-22B-v0.2-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use wi... | [
32,
85,
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# cleatherbury/Mistral-22B-v0.2-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' 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\nIn... |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | chpardhu/fine_tuned_bert-base-uncased-1.1 | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #bert #text-classification #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",
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null | null | Custom GGUF Quants with iMatrix for :
https://huggingface.co/MarsupialAI/LaDameBlanche-v2-95b
- Q8_0 used as quant base : https://huggingface.co/mradermacher/LaDameBlanche-v2-95b-GGUF
- iMatrix here : https://huggingface.co/mradermacher/LaDameBlanche-v2-95b-i1-GGUF
(Yes, I'm lazy, but I can live with a 0.01ppl bump ^... | {} | Nexesenex/LaDameBlanche-v2-95b-iMat-CQ.GGUF | null | [
"gguf",
"region:us"
] | null | 2024-04-22T05:28:59+00:00 | [] | [] | TAGS
#gguf #region-us
| Custom GGUF Quants with iMatrix for :
URL
- Q8_0 used as quant base : URL
- iMatrix here : URL
(Yes, I'm lazy, but I can live with a 0.01ppl bump ^^)
The model is a great merge, sensical and creative, imho working better for lesser requirements than the 100b+ Miqu which are worthy only for those with 48GB VRAM or mo... | [] | [
"TAGS\n#gguf #region-us \n"
] | [
9
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"TAGS\n#gguf #region-us \n"
] |
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": []} | heyllm234/sc61 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T05:29:51+00:00 | [
"1910.09700"
] | [] | TAGS
#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:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
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text-generation | transformers | Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
We don't know how good this model is exactly in benchmarks since we have not benched this yet, but we think real prompts and usage is more telling anyways.
From our testi... | {"license": "apache-2.0"} | AwanLLM/Meta-Llama-3-8B-Instruct-Dolfin-v0.1 | null | [
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"region:us"
] | null | 2024-04-22T05:32:02+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
URL
We don't know how good this model is exactly in benchmarks since we have not benched this yet, but we think real prompts and usage is more telling anyways.
From our testing this model is:
- Less Refusals
- More Uncensored
- ... | [] | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ykit/bert-base-japanese-v3-jnli | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T05:32:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #text-classification #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 #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "results", "results": []}]} | sanjithrj/results | null | [
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"t5",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T05:34:59+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| results
=======
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6303
* Rouge1: 0.2243
* Rouge2: 0.0638
* Rougel: 0.1869
* Rougelsum: 0.1873
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
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