What are the hardware requirements for Starling LM 11B Alpha?

Starling LM 11B Alpha requires approximately 21.4 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 Starling LM 11B Alpha and how large is it?

Starling LM 11B Alpha is developed by CallComply, a model with 11b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Starling LM 11B Alpha perform on standard benchmarks?

Starling LM 11B Alpha has the following published scores: MMLU 61.5. Compare against reference models on this page or on the LLM Explorer leaderboards.

Starling LM 11B Alpha by CallComply — VRAM 21.4GB, 32K context

Name: Starling LM 11B Alpha
Author: CallComply

Starling LM 11B Alpha is an open-source language model by CallComply. Features: 11b LLM, VRAM: 21.4GB, Context: 32K, License: cc-by-nc-4.0, LLM Explorer Score: 0.12, Arc: 61.3, HellaSwag: 82, MMLU: 61.5, GSM8K: 35.2.

Arxiv:2306.02231 Conversational Dataset:berkeley-nest/nectar Deploy:azure En Endpoints compatible Mistral Model-index Region:us Reward model Rlaif Rlhf Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/CallComply/Starling-LM-11B-alpha

Starling LM 11B Alpha Parameters and Internals

Model Type

Language Model, Text Generation

Use Cases

Areas:

Research, Non-commercial applications

Primary Use Cases:

Text generation

Considerations:

Please use the exact chat template provided for optimal performance.

Additional Notes

The dataset and model are a research preview intended for non-commercial use only.

Training Details

Data Sources:

berkeley-nest/Nectar

Methodology:

Reinforcement Learning from AI Feedback (RLAIF)

Input Output

Input Format:

Please use the exact chat template provided for optimal performance.

Accepted Modalities:

Text

Output Format:

Text

Performance Tips:

Setting temperature = 0 is recommended to reduce verbosity.

LLM Name	Starling LM 11B Alpha
Repository 🤗	https://huggingface.co/CallComply/Starling-LM-11B-alpha
Model Size	11b
Required VRAM	21.4 GB
Updated	2026-08-24
Maintainer	CallComply
Model Type	mistral
Model Files	4.9 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 1.7 GB: 5-of-5
Supported Languages	en
Model Architecture	MistralForCausalLM
License	cc-by-nc-4.0
Context Length	32769
Model Max Length	32769
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	<\|end_of_turn\|>
Vocabulary Size	32002
Torch Data Type	float16

Rank the Starling LM 11B Alpha 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 11B Alpha

Best Alternatives	Context / RAM	Downloads	Likes
...elik V2.3 Instruct MedIT Merge	32K / 22.3 GB	1592	2
Normistral 11B Translate	32K / 22.8 GB	193	1
ConfigurableBeagle 11B	32K / 21.4 GB	8206	3
CarbonBeagle 11B	32K / 21.4 GB	8331	9
...elik V2.3 Instruct Llama Prune	32K / 15.4 GB	1387	0
CarbonBeagle 11B Truthy	32K / 21.4 GB	7713	10
MistralLite 11B	32K / 21.4 GB	1337	2
Mistral 11B Instruct V0.1	32K / 42.9 GB	169	2
Mistral Evolved 11B V0.1	32K / 22.3 GB	58	33
Mistral 11B Miniplatypus	32K / 21.5 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than CallComply/Starling-LM-11B-alpha.