What are the hardware requirements for Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1?

Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 requires approximately 16.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 and how large is it?

Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 is developed by kms7530, 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 Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1?

Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 by kms7530 — VRAM 16.1GB

Name: Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1
Author: kms7530

Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 is an open-source language model by kms7530. Features: 8b LLM, VRAM: 16.1GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

4bit Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-... Conversational Dataset:kms7530/chemeng En Endpoints compatible Gguf Instruct Llama Lora Pytorch Quantized Region:us Safetensors Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1

Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 Parameters and Internals

LLM Name	Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1
Repository 🤗	https://huggingface.co/kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1
Base Model(s)	Llama 3 8B Instruct Bnb 4bit unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-31
Maintainer	kms7530
Instruction-Based	Yes
Model Files	0.2 GB 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 16.1 GB 4.9 GB 5.7 GB 8.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	AutoModel
License	apache-2.0
Model Max Length	8192
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|o_proj\|up_proj\|q_proj\|gate_proj\|k_proj\|down_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1 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 Chemeng Llama 3 8B Instruct Bnb 4bit 24 1 100 1

Best Alternatives	Context / RAM	Downloads	Likes
...lama 3.1 8B Roleplay BSNL Gguf	0K / 4.9 GB	973	11
...ma 3.1 8B Roleplay Airtel Gguf	0K / 4.9 GB	658	8
Llama 3.1 8B Roleplay Jio Gguf	0K / 4.9 GB	123	5
Llama 3.1 8B Rp Tadashinu Gguf	0K / 4.9 GB	57	7
Llama 3.1 8B OneLastStory Gguf	0K / 4.9 GB	43	5
Meta Llama 3 8B Instruct GGUF	0K / 2 GB	96368	103
...leverBoi Llama 3.1 8B Instruct	0K / 0.2 GB	866	1
...ma 3 8B Instruct 32K V0.1 GGUF	0K / 2 GB	81087	59
Llama 3 8B Instruct 64K GGUF	0K / 3.2 GB	56740	14
... Old English Tutorial FineTune	0K / 4.9 GB	22	0

Note: green Score (e.g. "73.2") means that the model is better than kms7530/chemeng_llama-3-8b-Instruct-bnb-4bit_24_1_100_1.