What are the hardware requirements for Mixtral 8x7B Instruct V0.1?

Mixtral 8x7B Instruct V0.1 requires a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mixtral 8x7B Instruct V0.1 and how large is it?

Mixtral 8x7B Instruct V0.1 is developed by inventbot. 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 Mixtral 8x7B Instruct V0.1?

Mixtral 8x7B Instruct V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mixtral 8x7B Instruct V0.1 by inventbot — 32K context

Name: Mixtral 8x7B Instruct V0.1
Author: inventbot

Mixtral 8x7B Instruct V0.1 is an open-source language model by inventbot. Features: LLM, Context: 32K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.12.

Conversational De En Endpoints compatible Es Fr Instruct It Mixtral Moe Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/inventbot/Mixtral-8x7B-Instruct-v0.1

Mixtral 8x7B Instruct V0.1 Parameters and Internals

Additional Notes

Mixtral-8x7B is a pretrained generative Sparse Mixture of Experts model.

Supported Languages

fr (unknown), it (unknown), de (unknown), es (unknown), en (unknown)

Training Details

Model Architecture:

Sparse Mixture of Experts

Input Output

Input Format:

[INST] Instruction [/INST] Model answer [INST] Follow-up instruction [/INST]

Performance Tips:

Strictly follow the instruction format template to avoid sub-optimal outputs.

LLM Name	Mixtral 8x7B Instruct V0.1
Repository 🤗	https://huggingface.co/inventbot/Mixtral-8x7B-Instruct-v0.1
Updated	2026-06-05
Maintainer	inventbot
Model Type	mixtral
Instruction-Based	Yes
Supported Languages	fr it de es en
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mixtral 8x7B Instruct V0.1 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 Mixtral 8x7B Instruct V0.1

Best Alternatives	Context / RAM	Downloads	Likes
...ixtral 8x22B Instruct V0.1 FP8	64K / 140.9 GB	98	0
Dolphin 2.6 Mixtral 8x7b	32K / 93.6 GB	11285	211
Dolphin 2.6 Mixtral 8x7b	32K / 93.6 GB	7806	217
...eqlen 4096 Bs 4 Optimum 0 0 23	32K / GB	8	0
...eqlen 4096 Bs 4 Optimum 0 0 23	32K / GB	9	1
Dolphin 2.7 Mixtral 8x7b	32K / 93.6 GB	2178	170
Empower Functions Medium	32K / 93.6 GB	17	1
...ral 8x7b Instruct V0.1 Int4 Ov	32K / 0 GB	16	4
Dolphin 2.7 Mixtral 8x7b	32K / 93.6 GB	228	169
...ct V0.1 Agent Function Calling	32K / 44.3 GB	4	2

Note: green Score (e.g. "73.2") means that the model is better than inventbot/Mixtral-8x7B-Instruct-v0.1.