What are the hardware requirements for Llama3 Turbcat Instruct 8B?

Llama3 Turbcat Instruct 8B 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 Llama3 Turbcat Instruct 8B and how large is it?

Llama3 Turbcat Instruct 8B is developed by turboderp, 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 Llama3 Turbcat Instruct 8B?

Llama3 Turbcat Instruct 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 Turbcat Instruct 8B by turboderp — VRAM 16.1GB, 8K context

Name: Llama3 Turbcat Instruct 8B
Author: turboderp

Llama3 Turbcat Instruct 8B is an open-source language model by turboderp. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Instruction-Based, LLM Explorer Score: 0.13.

Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/turboderp/llama3-turbcat-instruct-8b

Llama3 Turbcat Instruct 8B Parameters and Internals

Model Type

text generation, roleplay

Use Cases

Areas:

research, commercial applications

Applications:

text generation, roleplay API usage

Primary Use Cases:

text generation, roleplaying in APIs

Limitations:

Limited Chinese support compared to English, Based on base model choice

Additional Notes

Join Discord for model support.

Supported Languages

English (native), Chinese (limited)

Training Details

Data Sources:

2GB English dataset, 5GB English-Chinese dataset, Medical COT, Action packed character play

Data Volume:

7GB total (including both datasets)

Methodology:

Annotation by 20 postdocs using strict COT and BERT judges for embeddings

Model Architecture:

Based on llama3

Input Output

Input Format:

<|begin_of_text|><|start_header_id|>...

Output Format:

<|eot_id|>

Release Notes

Version:

Notes:

Direct upgrade over cat 70B, 2x dataset size, added Chinese support. Based on llama3.

LLM Name	Llama3 Turbcat Instruct 8B
Repository 🤗	https://huggingface.co/turboderp/llama3-turbcat-instruct-8b
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-26
Maintainer	turboderp
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
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama3 Turbcat Instruct 8B 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 Llama3 Turbcat Instruct 8B

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
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than turboderp/llama3-turbcat-instruct-8b.