What are the hardware requirements for Llama 3 70B Instruct Spider?

Llama 3 70B Instruct Spider requires approximately 141.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 70B Instruct Spider and how large is it?

Llama 3 70B Instruct Spider is developed by VictorDCh, a model with 70b 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 70B Instruct Spider?

Llama 3 70B Instruct Spider is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 70B Instruct Spider by VictorDCh — VRAM 141.9GB

Name: Llama 3 70B Instruct Spider
Author: VictorDCh

Llama 3 70B Instruct Spider is an open-source language model by VictorDCh. Features: 70b LLM, VRAM: 141.9GB, License: llama3, Instruction-Based, LLM Explorer Score: 0.13.

Adapter Base model:adapter:meta-llama/... Base model:meta-llama/meta-lla... Dataset:generator Finetuned Generated from trainer Instruct Llama Lora Peft Region:us Safetensors Sft Sharded Tensorboard Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/VictorDCh/Llama-3-70B-Instruct-spider

Llama 3 70B Instruct Spider Parameters and Internals

Model Type

fine-tuned

Training Details

Data Sources:

generator

LLM Name	Llama 3 70B Instruct Spider
Repository 🤗	https://huggingface.co/VictorDCh/Llama-3-70B-Instruct-spider
Base Model(s)	Meta Llama 3 70B Instruct meta-llama/Meta-Llama-3-70B-Instruct
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-01-14
Maintainer	VictorDCh
Instruction-Based	Yes
Model Files	10.8 GB 4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30 0.0 GB
Model Architecture	Adapter
License	llama3
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|down_proj\|o_proj\|gate_proj\|up_proj\|q_proj\|v_proj
LoRA Alpha	128
LoRA Dropout	0.05
R Param	256

Rank the Llama 3 70B Instruct Spider 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 70B Instruct Spider

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.1 70B Abliterated Lora	0K / 1.7 GB	72	4
Llama3v1	0K / 0.1 GB	5	0
LLaMA 2 Wizard 70B QLoRA	0K / 1.7 GB	0	4
Saiga2 70b Lora	0K / 0.3 GB	0	14
Llama 2 70B Instruct V0.1	0K / 1.1 GB	6	14

Note: green Score (e.g. "73.2") means that the model is better than VictorDCh/Llama-3-70B-Instruct-spider.