What are the hardware requirements for BiMediX Bi?

BiMediX Bi requires approximately 93.6 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 BiMediX Bi and how large is it?

BiMediX Bi is developed by BiMediX. 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 BiMediX Bi?

BiMediX Bi is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BiMediX Bi by BiMediX — VRAM 93.6GB, 32K context

Name: BiMediX Bi
Author: BiMediX

BiMediX Bi is an open-source language model by BiMediX. Features: LLM, VRAM: 93.6GB, Context: 32K, License: cc-by-nc-sa-4.0, MoE, LLM Explorer Score: 0.11.

Arxiv:2402.13253 Ar Conversational En Endpoints compatible Medical Mixtral Moe Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/BiMediX/BiMediX-Bi

BiMediX Bi Parameters and Internals

Model Type

Bilingual Medical Mixture of Experts Large Language Model (LLM)

Use Cases

Areas:

Medical interactions

Applications:

Medical interactions in English and Arabic

Primary Use Cases:

MCQA, closed QA, chats

Supported Languages

English (proficient), Arabic (proficient)

Training Details

Data Sources:

BiMed1.3M

Data Volume:

632 million tokens

Methodology:

QLoRA Adaptation technique

Model Architecture:

Mixtral-8x7B-Instruct-v0.1

Safety Evaluation

Findings:

Potential issues: hallucinations, toxicity, stereotypes

LLM Name	BiMediX Bi
Repository 🤗	https://huggingface.co/BiMediX/BiMediX-Bi
Required VRAM	93.6 GB
Updated	2026-10-21
Maintainer	BiMediX
Model Type	mixtral
Model Files	4.9 GB: 1-of-19 5.0 GB: 2-of-19 5.0 GB: 3-of-19 4.9 GB: 4-of-19 5.0 GB: 5-of-19 5.0 GB: 6-of-19 4.9 GB: 7-of-19 5.0 GB: 8-of-19 5.0 GB: 9-of-19 4.9 GB: 10-of-19 5.0 GB: 11-of-19 5.0 GB: 12-of-19 5.0 GB: 13-of-19 4.9 GB: 14-of-19 5.0 GB: 15-of-19 5.0 GB: 16-of-19 4.9 GB: 17-of-19 5.0 GB: 18-of-19 4.2 GB: 19-of-19
Supported Languages	en ar
Model Architecture	MixtralForCausalLM
License	cc-by-nc-sa-4.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the BiMediX Bi 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 BiMediX Bi

Best Alternatives	Context / RAM	Downloads	Likes
...ixtral 8x22B Instruct V0.1 FP8	64K / 140.9 GB	98	0
Llama 3 IMPACTS 2x8B 64K MLX	64K / 27.4 GB	43	5
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
Mixtral 8x7B Instruct V0.1	32K / GB	5	0
...ral 8x7b Instruct V0.1 Int4 Ov	32K / 0 GB	16	4

Note: green Score (e.g. "73.2") means that the model is better than BiMediX/BiMediX-Bi.