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pmysl / c4ai-command-r-plus-GGUF
README.md
model
3 matches
tags:
gguf, text-generation, base_model:CohereForAI/c4ai-command-r-plus, license:cc-by-nc-4.0, region:us
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# Command R+ GGUF
## Description
This repository contains GGUF weights for `llama.cpp`. Support for them was added in release [`b2636`](https://github.com/ggerganov/llama.cpp/releases/tag/b2636). Since commit `dd2d53a`, all weights in this repo have chat templates.
Sao10K / Franziska-Maxtral-8x22B-v1-GGUF
README.md
model
1 matches
Undi95 / UndiMix-v1-13b
README.md
model
1 matches
tags:
transformers, safetensors, llama, text-generation, license:cc-by-nc-4.0, autotrain_compatible, endpoints_compatible, text-generation-inference, region:us
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Command used :
```shell
python ties_merge.py TheBloke/Llama-2-13B-fp16 .UndiMix-v1-13b --merge The-Face-Of-Goonery/Huginn-13b-v1.2 --merge Doctor-Shotgun/llama-2-13b-chat-limarp-v2-merged
```
Undi95 / UndiMix-v1-13b-GGUF
README.md
model
1 matches
Rootreck / so-vits-svc-4.1-ru-Command_and_Conquer_Red_Alert_3
README.md
model
3 matches
speechbrain / google_speech_command_xvector
README.md
model
8 matches
tags:
speechbrain, embeddings, Commands, Keywords, Keyword Spotting, pytorch, xvectors, TDNN, Command Recognition, audio-classification, en, dataset:GoogleSpeechCommands, arxiv:1804.03209, arxiv:2106.04624, license:apache-2.0, region:us
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# Command Recognition with xvector embeddings on Google Speech Commands
This repository provides all the necessary tools to perform command recognition with SpeechBrain using a model pretrained on Google Speech Commands.
You can download the dataset [here](https://www.tensorflow.org/datasets/catalog/speech_commands)
The dataset provides small training, validation, and test sets useful for detecting single keywords in short audio clips. The provided system can recognize the following 12 keywords:
iAkashPaul / Prestige
README.md
dataset
1 matches
tags:
license:mit, presto, google, assistant, voice command, region:us
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# Prestige
This project aims at augmenting Google's [Presto dataset](https://blog.research.google/2023/03/presto-multilingual-dataset-for-parsing.html) for more tasks & languages using LLMs. Primarily geared at improving handfree interaction with Assistants across a variety of tasks
speechbrain / urbansound8k_ecapa
README.md
model
2 matches
lara-martin / FIREBALL
README.md
dataset
10 matches
tags:
task_categories:text-generation, task_categories:text2text-generation, language_creators:crowdsourced, size_categories:100K<n<1M, source_datasets:original, language:en, license:cc-by-4.0, story, storytelling, story generation, dnd, creative generation, command generation, dungeons and dragons, ttrpg, dungeon master, arxiv:2305.01528, region:us
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ting commands, which we collected.
This dataset contains nearly 25,000 unique sessions of gameplay, 153,829 turns, and detailed information about people's D&D game turns.
* [Published paper](https://aclanthology.org/2023.acl-long.229/)
oscars47 / Thinking_Parrot_Reading_Club
app.py
space
1 matches
Jeyadheesh / Pokemon-Detector
app.py
space
1 matches
CohereForAI / c4ai-command-r-plus
README.md
model
26 matches
tags:
transformers, safetensors, cohere, text-generation, conversational, en, fr, de, es, it, pt, ja, ko, zh, ar, license:cc-by-nc-4.0, autotrain_compatible, endpoints_compatible, text-generation-inference, region:us
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C4AI Command R+
🚨 **This model is non-quantized version of C4AI Command R+. You can find the quantized version of C4AI Command R+ using bitsandbytes [here](https://huggingface.co/CohereForAI/c4ai-command-r-plus-4bit)**.
CohereForAI / c4ai-command-r-plus-4bit
README.md
model
21 matches
tags:
transformers, safetensors, cohere, text-generation, en, fr, de, es, it, pt, ja, ko, zh, ar, license:cc-by-nc-4.0, autotrain_compatible, endpoints_compatible, text-generation-inference, 4-bit, region:us
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C4AI Command R+
🚨 **This model is 4bit quantized version of C4AI Command R+ using bitsandbytes.** You can find the unquantized version of C4AI Command R+ [here](https://huggingface.co/CohereForAI/c4ai-command-r-plus).
## Model Summary
alpindale / c4ai-command-r-plus-GPTQ
README.md
model
26 matches
tags:
transformers, safetensors, cohere, text-generation, conversational, en, fr, de, es, it, pt, ja, ko, zh, ar, license:cc-by-nc-4.0, autotrain_compatible, endpoints_compatible, text-generation-inference, 4-bit, region:us
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C4AI Command R+
🚨 **This model is non-quantized version of C4AI Command R+. You can find the quantized version of C4AI Command R+ using bitsandbytes [here](https://huggingface.co/CohereForAI/c4ai-command-r-plus-4bit)**.
MattCoddity / dockerNLcommands
README.md
dataset
8 matches
tags:
task_categories:question-answering, size_categories:10K<n<100K, language:en, license:apache-2.0, croissant, region:us
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cker Command Dataset
This dataset is designed to translate natural language instructions into Docker commands. It contains mappings of textual phrases to corresponding Docker commands, aiding in the development of models capable of understanding and translating user requests into executable Docker instructions.
## Dataset Format
Eemansleepdeprived / stable-diffusion-app
app.py
space
1 matches
zxw / clueai_demo
app.py
space
2 matches
wyklq / alpaca-adapter-30b-4bit
README.md
model
1 matches
tags:
license:other, region:us
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with command
$llmtune finetune --model llama-30b-4bit --weights llama-30b-4bit.pt --dataset data50.json --adapter alpaca-adapter-folder-30b-4bit
Using first 50 records of Alpaca dataset from original dataset.json
The training loss is almost flat, and result is clearly better than original llama-30b-4bit model.