What are the hardware requirements for L3 8B R1 WolfCore V1.5 Test?

L3 8B R1 WolfCore V1.5 Test 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 8B R1 WolfCore V1.5 Test and how large is it?

L3 8B R1 WolfCore V1.5 Test is developed by DoppelReflEx, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate L3 8B R1 WolfCore V1.5 Test?

L3 8B R1 WolfCore V1.5 Test is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L3 8B R1 WolfCore V1.5 Test by DoppelReflEx — VRAM 16.1GB, 8K context

Name: L3 8B R1 WolfCore V1.5 Test
Author: DoppelReflEx

L3 8B R1 WolfCore V1.5 Test is an open-source language model by DoppelReflEx. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, Merged, LLM Explorer Score: 0.23.

Merged Model Arxiv:2403.19522 Base model:cgato/l3-thespice-8... Base model:deepseek-ai/deepsee... Base model:sao10k/l3-8b-lunari... Base model:sao10k/l3-8b-stheno... Base model:sicariussicariistuf... Base model:thedrummer/llama-3s... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DoppelReflEx/L3-8B-R1-WolfCore-V1.5-test

L3 8B R1 WolfCore V1.5 Test Parameters and Internals

LLM Name	L3 8B R1 WolfCore V1.5 Test
Repository 🤗	https://huggingface.co/DoppelReflEx/L3-8B-R1-WolfCore-V1.5-test
Base Model(s)	L3 8B Lunaris V1 Wingless Imp 8B cgato/L3-TheSpice-8b-v0.8.3 DeepSeek R1 Distill Llama 8B Sao10K/L3-8B-Stheno-v3.2 Llama 3SOME 8B V2 Sao10K/L3-8B-Lunaris-v1 SicariusSicariiStuff/Wingless_Imp_8B cgato/L3-TheSpice-8b-v0.8.3 deepseek-ai/DeepSeek-R1-Distill-Llama-8B Sao10K/L3-8B-Stheno-v3.2 TheDrummer/Llama-3SOME-8B-v2
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-18
Maintainer	DoppelReflEx
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
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

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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
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Multi-Language Support and Translation

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