What are the hardware requirements for Chronos 70B V2?

Chronos 70B V2 requires approximately 138 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Chronos 70B V2 and how large is it?

Chronos 70B V2 is developed by elinas, a model with 70b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Chronos 70B V2 perform on standard benchmarks?

Chronos 70B V2 has the following published scores: MMLU 68.28. Compare against reference models on this page or on the LLM Explorer leaderboards.

Chronos 70B V2 by elinas — VRAM 138GB, 4K context

Name: Chronos 70B V2
Author: elinas

Chronos 70B V2 is an open-source language model by elinas. Features: 70b LLM, VRAM: 138GB, Context: 4K, License: cc-by-nc-4.0, LLM Explorer Score: 0.1, Arc: 68.1, HellaSwag: 86.5, MMLU: 68.3, GSM8K: 28.7.

Chat Endpoints compatible Llama Pytorch Region:us Roleplay Safetensors Sharded Storywriting Tensorflow

Model Card on HF 🤗: https://huggingface.co/elinas/chronos-70b-v2

Chronos 70B V2 Parameters and Internals

Model Type

chat, roleplay, storywriting

Use Cases

Areas:

chat, roleplay, storywriting

Input Output

Input Format:

Alpaca formatting

Performance Tips:

Using frontends like SillyTavern with Alpaca instruction mode enabled; play around with sampling and settings; using '--unbantokens' flag in KoboldCPP may help.

LLM Name	Chronos 70B V2
Repository 🤗	https://huggingface.co/elinas/chronos-70b-v2
Model Size	70b
Required VRAM	138 GB
Updated	2026-08-05
Maintainer	elinas
Model Type	llama
Model Files	9.8 GB: 1-of-15 9.8 GB: 2-of-15 10.0 GB: 3-of-15 9.8 GB: 4-of-15 9.8 GB: 5-of-15 9.8 GB: 6-of-15 10.0 GB: 7-of-15 9.8 GB: 8-of-15 9.8 GB: 9-of-15 9.8 GB: 10-of-15 10.0 GB: 11-of-15 9.8 GB: 12-of-15 9.8 GB: 13-of-15 9.5 GB: 14-of-15 0.5 GB: 15-of-15 9.8 GB: 1-of-15 9.8 GB: 2-of-15 10.0 GB: 3-of-15 9.8 GB: 4-of-15 9.8 GB: 5-of-15 9.8 GB: 6-of-15 10.0 GB: 7-of-15 9.8 GB: 8-of-15 9.8 GB: 9-of-15 9.8 GB: 10-of-15 10.0 GB: 11-of-15 9.8 GB: 12-of-15 9.8 GB: 13-of-15 9.5 GB: 14-of-15 0.5 GB: 15-of-15
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.33.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Chronos 70B 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

Quantized Models of the Chronos 70B V2

Model	Likes	Downloads	VRAM
Chronos 70B V2 GGUF	19	520	29 GB
Chronos 70B V2 AWQ	2	7	36 GB
Chronos 70B V2 GPTQ	11	38	35 GB

Best Alternatives to Chronos 70B V2

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Yi 70B 200K RPMerge Franken	195K / 142.4 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than elinas/chronos-70b-v2.