Dataset · Hugging Face

HuggingFaceTB/everyday-conversations-llama3.1-2k

Name: everyday-conversations-llama3.1-2k
Creator: HuggingFaceTB
License: apache-2.0
Keywords: language:en, license:apache-2.0, size_categories:1K<n<10K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us

Everyday conversations for Smol LLMs finetunings This dataset contains 2.2k multi-turn conversations generated by Llama-3.1-70B-Instruct. We ask the LLM to generate a simple multi-turn conversation, with 3-4 short exchanges, between a User and an AI Assistant about a certain topic. The topics are chosen to be simple to understand by smol LLMs and cover everyday topics + elementary science. We include: 20 everyday topics with 100 subtopics each 43 elementary science topics with… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceTB/everyday-conversations-ll

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Author / organization	HuggingFaceTB
License (as declared)	apache-2.0
Downloads	1.7K (as reported by Hugging Face)
Likes	141
Created	12 August 2024
Last updated at source	29 January 2025

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Connected in the knowledge graph

bartowski/SmolLM-1.7B-Instruct-v0.2-GGUFModel · used to train
tensorblock/Llama-3.2-SUN-2.5B-chat-GGUFModel · used to train
mradermacher/Llama-3.2-SUN-HDIC-1B-Instruct-i1-GGUFModel · used to train
mradermacher/Llama-3.2-SUN-2.5B-chat-i1-GGUFModel · used to train
mradermacher/Pula-8B-v0.1-GGUFModel · used to train
unsloth/SmolLM-135MModel · used to train
unsloth/SmolLM-135M-bnb-4bitModel · used to train
mradermacher/SmolLM-360M-Instruct-i1-GGUFModel · used to train
unsloth/SmolLM-135M-InstructModel · used to train
mradermacher/SmolLM-135M-Instruct-GGUFModel · used to train
HuggingFaceTB/SmolLM-135M-InstructModel · used to train
unsloth/SmolLM-135M-Instruct-bnb-4bitModel · used to train
mradermacher/hummingbird-2-125m-GGUFModel · used to train
mradermacher/SmolLM-1.7B-Instruct-GGUFModel · used to train
meditsolutions/Llama-3.2-SUN-1B-InstructModel · used to train
mradermacher/SmolLM-135M-Instruct-i1-GGUFModel · used to train
Flexan/qikp-hummingbird-2.1-110m-GGUFModel · used to train
mradermacher/smollm2-135M-SFT-Only-GGUFModel · used to train
mradermacher/Llama-3.2-SUN-1B-chat-GGUFModel · used to train
HuggingFaceTB/smollm-360M-instruct-add-basicsModel · used to train
HuggingFaceTB/SmolLM-360M-InstructModel · used to train
mradermacher/Qwen3-Hermes-4b-GGUFModel · used to train
mradermacher/meditsolutions_Llama-3.2-SUN-1B-Instruct-i1-GGUFModel · used to train
HuggingFaceTB/smollm2-135M-SFT-OnlyModel · used to train
unsloth/SmolLM-360M-bnb-4bitModel · used to train
mradermacher/Llama-3.2-SUN-HDIC-1B-Instruct-GGUFModel · used to train
mradermacher/Pula-8B-v0.1-i1-GGUFModel · used to train
mradermacher/Firefly-v6-DONTDOWNLOAD-STILLONPROGRESS-GGUFModel · used to train
anarlavrenov/lime-1b-instructModel · used to train
QuantFactory/smollm-360M-instruct-add-basics-GGUFModel · used to train
mradermacher/Firefly-v6-DONTDOWNLOAD-STILLONPROGRESS-i1-GGUFModel · used to train
tensorblock/SmolLM-135M-Instruct-GGUFModel · used to train
HuggingFaceTB/smollm-135M-instruct-v0.2-Q8_0-GGUFModel · used to train
mradermacher/meditsolutions_Llama-3.2-SUN-1B-Instruct-GGUFModel · used to train
mradermacher/SmolLM-1.7B-Instruct-i1-GGUFModel · used to train
Felladrin/gguf-Q5_K_M-smollm-360M-instruct-add-basicsModel · used to train
mradermacher/SmolLM-360M-Instruct-GGUFModel · used to train
mradermacher/Llama-3.2-SUN-2.5B-chat-GGUFModel · used to train
HuggingFaceTB/SmolLM-1.7B-InstructModel · used to train
tensorblock/SmolLM-360M-Instruct-GGUFModel · used to train

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16 Oct 2026 Description: Everyday conversations for Smol LLMs finetunings This dataset contains 2.2k multi-turn conversations generated by Llama-3.1-70B-Instruct. We ask the LLM to generate a simple multi-turn conversation, with 3-4 short exchanges, between a User → Everyday conversations for Smol LLMs finetunings This dataset contains 2.2k multi-turn conversations generated by Llama-3.1-70B-Instruct. We ask the LLM to generate a simple multi-turn conversation, with 3-4 short exchanges, between a User

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