What are the hardware requirements for L3 Solana 8B V1?

L3 Solana 8B V1 requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed L3 Solana 8B V1 and how large is it?

L3 Solana 8B V1 is developed by Sao10K, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does L3 Solana 8B V1 perform on standard benchmarks?

L3 Solana 8B V1 has the following published scores: MMLU 58.95. Compare against reference models on this page or on the LLM Explorer leaderboards.

L3 Solana 8B V1 by Sao10K — VRAM 16.1GB, 8K context

Name: L3 Solana 8B V1
Author: Sao10K

L3 Solana 8B V1 is an open-source language model by Sao10K. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: cc-by-nc-4.0, LLM Explorer Score: 0.27, Arc: 58.9, HellaSwag: 80.7, MMLU: 59, GSM8K: 33.9.

Autotrain compatible En Endpoints compatible License:cc-by-nc-4.0 Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Sao10K/L3-Solana-8B-v1

L3 Solana 8B V1 Parameters and Internals

LLM Name	L3 Solana 8B V1
Repository 🤗	https://huggingface.co/Sao10K/L3-Solana-8B-v1
Model Size	8b
Required VRAM	16.1 GB
Updated	2024-07-04
Maintainer	Sao10K
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the L3 Solana 8B V1 capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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