What are the hardware requirements for Koishi 8x7b Qlora Gguf?

Koishi 8x7b Qlora Gguf requires approximately 15.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Koishi 8x7b Qlora Gguf and how large is it?

Koishi 8x7b Qlora Gguf is developed by ewof. 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 Koishi 8x7b Qlora Gguf?

Koishi 8x7b Qlora Gguf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Koishi 8x7b Qlora Gguf by ewof — VRAM 15.6GB

Name: Koishi 8x7b Qlora Gguf
Author: ewof

Koishi 8x7b Qlora Gguf is an open-source language model by ewof. Features: LLM, VRAM: 15.6GB, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

Dataset:ewof/koishi-instruct-m... Endpoints compatible Ggml Gguf Instruct Mixtral Moe Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/ewof/koishi-8x7b-qlora-gguf

Koishi 8x7b Qlora Gguf Parameters and Internals

Training Details

Data Sources:

ewof/koishi-instruct-metharme

Methodology:

rank 16 qlora tune of mistralai/Mixtral-8x7B-v0.1 (all modules, merged)

Hardware Used:

4x nvidia a100 gpu cluster

Input Output

Input Format:

Prompts using three different roles: `<|system|>`, `<|user|>` and `<|model|>`

LLM Name	Koishi 8x7b Qlora Gguf
Repository 🤗	https://huggingface.co/ewof/koishi-8x7b-qlora-gguf
Required VRAM	15.6 GB
Updated	2026-05-30
Maintainer	ewof
Model Type	mixtral
Instruction-Based	Yes
Model Files	15.6 GB 20.4 GB 26.4 GB 26.4 GB 32.2 GB 32.2 GB 38.4 GB 49.6 GB
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	gguf\|ggml\|q2\|q4_k\|q5_k
Model Architecture	AutoModel

Rank the Koishi 8x7b Qlora Gguf 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 Koishi 8x7b Qlora Gguf

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...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
Phi 3 Mini 4K Instruct GGUF	0K / 1.4 GB	1429	17
Spydaz Web AI	0K / 4.4 GB	154	3
Autocomplete Model	0K / 4.1 GB	66	0
Dolphin 2 6 Phi 2 GGUF	0K / 1.2 GB	5273	75
Phi 3 Mini 4K Instruct	0K / 2.3 GB	24	0
...3 Mini 4k OLScience 4bitQ Gguf	0K / 2.3 GB	26	0
Dre Phi Gguf	0K / 2.3 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than ewof/koishi-8x7b-qlora-gguf.