What are the hardware requirements for Internlm3 8B Instruct Smoothquant Fp8?

Internlm3 8B Instruct Smoothquant Fp8 requires approximately 9.9 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Internlm3 8B Instruct Smoothquant Fp8 and how large is it?

Internlm3 8B Instruct Smoothquant Fp8 is developed by internlm, 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 Internlm3 8B Instruct Smoothquant Fp8?

Internlm3 8B Instruct Smoothquant Fp8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Internlm3 8B Instruct Smoothquant Fp8 by internlm — VRAM 9.9GB, 32K context

Name: Internlm3 8B Instruct Smoothquant Fp8
Author: internlm

Internlm3 8B Instruct Smoothquant Fp8 is an open-source language model by internlm. Features: 8b LLM, VRAM: 9.9GB, Context: 32K, License: apache-2.0, Instruction-Based.

Arxiv:2403.17297 Conversational Custom code Instruct Internlm3 Region:us Safetensors Sharded Smooth quant Tensorflow

Model Card on HF 🤗: https://huggingface.co/internlm/internlm3-8b-instruct-smoothquant-fp8

Internlm3 8B Instruct Smoothquant Fp8 Parameters and Internals

LLM Name	Internlm3 8B Instruct Smoothquant Fp8
Repository 🤗	https://huggingface.co/internlm/internlm3-8b-instruct-smoothquant-fp8
Model Size	8b
Required VRAM	9.9 GB
Updated	2026-08-10
Maintainer	internlm
Model Type	internlm3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 4.9 GB: 2-of-2
Model Architecture	InternLM3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.47.1
Is Biased	0
Tokenizer Class	InternLM3Tokenizer
Padding Token	</s>
Vocabulary Size	128512
Torch Data Type	bfloat16

Rank the Internlm3 8B Instruct Smoothquant Fp8 capabilities

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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
Code Generation
Multi-Language Support and Translation

Best Alternatives to Internlm3 8B Instruct Smoothquant Fp8

Best Alternatives	Context / RAM	Downloads	Likes
Internlm3 8B Instruct	32K / 17.6 GB	88831	232
...3 8B Instruct Smoothquant Int8	32K / 9.9 GB	26	4
...ernlm3 8B Instruct Abliterated	32K / 17.6 GB	16	6
Internlm3 8B Instruct AWQ	32K / 6.2 GB	93	6
...nternlm3 8B Instruct Gptq Int4	32K / 6.1 GB	8	4

Note: green Score (e.g. "73.2") means that the model is better than internlm/internlm3-8b-instruct-smoothquant-fp8.