What are the hardware requirements for ChimeraLlama 3 8B V2?

ChimeraLlama 3 8B V2 requires approximately 16 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 ChimeraLlama 3 8B V2 and how large is it?

ChimeraLlama 3 8B V2 is developed by mlabonne, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does ChimeraLlama 3 8B V2 perform on standard benchmarks?

ChimeraLlama 3 8B V2 has the following published scores: MMLU 67.83. Compare against reference models on this page or on the LLM Explorer leaderboards.

ChimeraLlama 3 8B V2 by mlabonne — VRAM 16GB, 8K context

Name: ChimeraLlama 3 8B V2
Author: mlabonne

ChimeraLlama 3 8B V2 is an open-source language model by mlabonne. Features: 8b LLM, VRAM: 16GB, Context: 8K, License: other, Instruction-Based, Merged, LLM Explorer Score: 0.22, Arc: 63.8, HellaSwag: 80.9, MMLU: 67.8, GSM8K: 73.

Merged Model Base model:cloudyu/meta-llama-... Base model:dphn/dolphin-2.9-ll... Base model:locutusque/llama-3-... Base model:mlabonne/orpollama-... Base model:nousresearch/meta-l... Base model:vicgalle/configurab... Endpoints compatible Instruct Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v2

ChimeraLlama 3 8B V2 Parameters and Internals

Model Type

text-generation

Additional Notes

ChimeraLlama-3-8B-v2 is a merge of multiple models using LazyMergekit, including NousResearch/Meta-Llama-3-8B-Instruct and other prominent models.

LLM Name	ChimeraLlama 3 8B V2
Repository 🤗	https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v2
Base Model(s)	Meta Llama 3 8B Instruct OrpoLlama 3 8B cognitivecomputations/dolphin-2.9-llama3-8b Llama 3 Neural Chat V1 8B Meta Llama 3 8B Instruct DPO vicgalle/Configurable-Llama-3-8B-v0.3 NousResearch/Meta-Llama-3-8B-Instruct mlabonne/OrpoLlama-3-8B cognitivecomputations/dolphin-2.9-llama3-8b Locutusque/llama-3-neural-chat-v1-8b cloudyu/Meta-Llama-3-8B-Instruct-DPO vicgalle/Configurable-Llama-3-8B-v0.3
Merged Model	Yes
Model Size	8b
Required VRAM	16 GB
Updated	2026-08-04
Maintainer	mlabonne
Model Type	llama
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-2 6.1 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the ChimeraLlama 3 8B V2 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 ChimeraLlama 3 8B V2

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...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than mlabonne/ChimeraLlama-3-8B-v2.