What are the hardware requirements for Llama 3.1 8B Instruct Reasoner 1o1 V0.3?

Llama 3.1 8B Instruct Reasoner 1o1 V0.3 requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 8B Instruct Reasoner 1o1 V0.3 and how large is it?

Llama 3.1 8B Instruct Reasoner 1o1 V0.3 is developed by Lyte, 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 Llama 3.1 8B Instruct Reasoner 1o1 V0.3?

Llama 3.1 8B Instruct Reasoner 1o1 V0.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Instruct Reasoner 1o1 V0.3 by Lyte — VRAM 16.1GB, 128K context

Name: Llama 3.1 8B Instruct Reasoner 1o1 V0.3
Author: Lyte

Llama 3.1 8B Instruct Reasoner 1o1 V0.3 is an open-source language model by Lyte. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.22.

4bit Autotrain compatible Conversational Dataset:lyte/reasoner-1o1-v0.3... En Endpoints compatible Gguf Instruct Llama Llama-3.1-8b Model-index Pytorch Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3

Llama 3.1 8B Instruct Reasoner 1o1 V0.3 Parameters and Internals

Model Type

text-generation-inference, transformers

Additional Notes

This model is an experimental proof of concept aimed at improving reasoning capabilities rather than achieving state-of-the-art performance.

Supported Languages

en (proficient)

LLM Name	Llama 3.1 8B Instruct Reasoner 1o1 V0.3
Repository 🤗	https://huggingface.co/Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3
Base Model(s)	unsloth/meta-llama-3.1-8b-instruct-bnb-4bit unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-03-12
Maintainer	Lyte
Model Type	llama
Instruction-Based	Yes
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 5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4 16.1 GB 4.9 GB 8.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3.1 8B Instruct Reasoner 1o1 V0.3 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

Best Alternatives to Llama 3.1 8B Instruct Reasoner 1o1 V0.3

Best Alternatives	Context / RAM	Downloads	Likes
...truct Gradient 1048K IMat GGUF	1024K / 2 GB	650	6
...B Instruct Gradient 1048K GGUF	1024K / 3.2 GB	445	3
Llama 3 8B Instruct 262K GGUF	256K / 3.2 GB	208	2
Grok Oss Apollyon 8B	128K / 16.1 GB	3449	8
...3 8B Instruct 128K Jbliterated	128K / 4.9 GB	992	2
Grok Oss Revenant 8B	128K / 16.1 GB	324	0
Llama 3.1 8B Instruct GGUF	128K / 2.2 GB	17956	41
...tion Sec 8B Instruct Q8 0 GGUF	128K / 8.5 GB	905	6
Llama 3.1 TAIDE R1 8B Chat	128K / 17.1 GB	1383	23
Nsfw Plz Gguf Me	128K / 16.1 GB	3	3

Note: green Score (e.g. "73.2") means that the model is better than Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3.