What are the hardware requirements for Llama 3 Soliloquy 8B V2?

Llama 3 Soliloquy 8B V2 requires approximately 16.1 GB of VRAM and supports a context window of 24K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 Soliloquy 8B V2 and how large is it?

Llama 3 Soliloquy 8B V2 is developed by openlynn, 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 Llama 3 Soliloquy 8B V2 perform on standard benchmarks?

Llama 3 Soliloquy 8B V2 has the following published scores: MMLU 64.73. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 Soliloquy 8B V2 by openlynn — VRAM 16.1GB, 24K context

Name: Llama 3 Soliloquy 8B V2
Author: openlynn

Llama 3 Soliloquy 8B V2 is an open-source language model by openlynn. Features: 8b LLM, VRAM: 16.1GB, Context: 24K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.14, Arc: 59, HellaSwag: 80.1, MMLU: 64.7, GSM8K: 58.8.

Autotrain compatible Conversational En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2

Llama 3 Soliloquy 8B V2 Parameters and Internals

LLM Name	Llama 3 Soliloquy 8B V2
Repository 🤗	https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2
Model Size	8b
Required VRAM	16.1 GB
Updated	2024-09-04
Maintainer	openlynn
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-sa-4.0
Context Length	24576
Model Max Length	24576
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 Soliloquy 8B V2 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Quantized Models of the Llama 3 Soliloquy 8B V2

Model	Likes	Downloads	VRAM
Llama 3 Soliloquy 8B V2 GPTQ	1	10	5 GB

Best Alternatives to Llama 3 Soliloquy 8B V2

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than openlynn/Llama-3-Soliloquy-8B-v2.