What are the hardware requirements for Scm Llama3 7B Q4 K M?

Scm Llama3 7B Q4 K M requires approximately 4.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Scm Llama3 7B Q4 K M and how large is it?

Scm Llama3 7B Q4 K M is developed by sebdg, 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 Scm Llama3 7B Q4 K M?

Scm Llama3 7B Q4 K M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Scm Llama3 7B Q4 K M by sebdg — VRAM 4.9GB

Name: Scm Llama3 7B Q4 K M
Author: sebdg

Scm Llama3 7B Q4 K M is an open-source language model by sebdg. Features: 8b LLM, VRAM: 4.9GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Base model:unsloth/llama-3-8b-... En Endpoints compatible Gguf Instruct License:apache-2.0 Llama Q4 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/sebdg/scm_llama3_7b_q4_k_m

Scm Llama3 7B Q4 K M Parameters and Internals

LLM Name	Scm Llama3 7b Q4 K M
Repository 🤗	https://huggingface.co/sebdg/scm_llama3_7b_q4_k_m
Base Model(s)	Llama 3 8B Instruct unsloth/llama-3-8b-Instruct
Model Size	8b
Required VRAM	4.9 GB
Updated	2024-07-15
Maintainer	sebdg
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	AutoModel
License	apache-2.0

Rank the Scm Llama3 7B Q4 K M 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

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Note: green Score (e.g. "73.2") means that the model is better than sebdg/scm_llama3_7b_q4_k_m.