What are the hardware requirements for Starling LM 7B Beta 8bit?

Starling LM 7B Beta 8bit requires approximately 7.9 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Starling LM 7B Beta 8bit and how large is it?

Starling LM 7B Beta 8bit is developed by mlx-community, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Starling LM 7B Beta 8bit perform on standard benchmarks?

Starling LM 7B Beta 8bit has the following published scores: LMSYS ELO 1171. Compare against reference models on this page or on the LLM Explorer leaderboards.

Starling LM 7B Beta 8bit by mlx-community — VRAM 7.9GB, 8K context

Name: Starling LM 7B Beta 8bit
Author: mlx-community

Starling LM 7B Beta 8bit is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 7.9GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.23, ELO: 1171.

8bit Conversational Dataset:berkeley-nest/nectar En Endpoints compatible Mistral Mlx Quantized Region:us Reward model Rlaif Rlhf Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Starling-LM-7B-beta-8bit

Starling LM 7B Beta 8bit Benchmarks

LMSys ELO 1171 vs 1272 (so35) -7.9%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Starling LM 7B Beta 8bit Parameters and Internals

Model Type

reward model, RLHF, RLAIF, mlx

Additional Notes

This model was converted to MLX format using mlx-lm.

Supported Languages

en (high)

LLM Name	Starling LM 7B Beta 8bit
Repository 🤗	https://huggingface.co/mlx-community/Starling-LM-7B-beta-8bit
Base Model(s)	Starling LM 7B Beta Nexusflow/Starling-LM-7B-beta
Model Size	7b
Required VRAM	7.9 GB
Updated	2026-07-27
Maintainer	mlx-community
Model Type	mistral
Model Files	5.4 GB: 1-of-2 2.5 GB: 2-of-2
Supported Languages	en
Quantization Type	8bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.0
Padding Token	<\|end_of_turn\|>
Vocabulary Size	32002
Torch Data Type	bfloat16

Rank the Starling LM 7B Beta 8bit 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 Starling LM 7B Beta 8bit

Best Alternatives	Context / RAM	Downloads	Likes
...t 3.5 0106 128K 4.0bpw H6 EXL2	128K / 3.9 GB	4	1
...t 3.5 0106 128K 8.0bpw H8 EXL2	128K / 7.4 GB	1	1
Mistral 7B 4bit 1C MLX	32K / 4.1 GB	156	1
...aude Sonnet Mistral 7B It V0.3	32K / 14.5 GB	7	2
Mistral 7B Instruct V0.2 Fp16	32K / 14.4 GB	26	0
Mistral 7B Instruct V0.2 4bit	32K / 4.3 GB	79	1
Mistral 7B V0.3 Bnb 4bit	32K / 4.1 GB	381323	22
Mistral 7B Instruct V0.2 8bit	32K / 7.6 GB	5	1
...tral 7B Instruct V0.3 Bnb 4bit	32K / 4.1 GB	34633	42
...tral 7B Instruct V0.2 Bnb 4bit	32K / 4.1 GB	7160	35

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Starling-LM-7B-beta-8bit.