What are the hardware requirements for Chronos 70B V2 AWQ?

Chronos 70B V2 AWQ requires approximately 36.6 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 AWQ and how large is it?

Chronos 70B V2 AWQ is developed by TheBloke, a model with 70b parameters. 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 Chronos 70B V2 AWQ?

Chronos 70B V2 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chronos 70B V2 AWQ by TheBloke — VRAM 36.6GB, 4K context

Name: Chronos 70B V2 AWQ
Author: TheBloke

Chronos 70B V2 AWQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 36.6GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.09.

4-bit Awq Base model:elinas/chronos-70b-... Base model:quantized:elinas/ch... Chat Llama Quantized Region:us Roleplay Safetensors Sharded Storywriting Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheBloke/Chronos-70B-v2-AWQ

Chronos 70B V2 AWQ Parameters and Internals

Model Type

chat, roleplay, storywriting

Use Cases

Areas:

chat, roleplay, storywriting

Primary Use Cases:

chat applications, roleplay scenarios, storywriting

Limitations:

significant reduction in performance if not using Alpaca instruction format

Considerations:

Model instructions should utilize Alpaca format to ensure optimal performance.

Additional Notes

The model supports context length up to 4096 tokens. The GPTQ and AWQ quantization methods are available to facilitate better inference speeds.

Training Details

Context Length:

4096

Model Architecture:

Llama v2 Base

Input Output

Input Format:

Alpaca Instruction format: ### Instruction: {prompt} ### Response:

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Use the Alpaca instruction format and try different sampling settings for best results.

LLM Name	Chronos 70B V2 AWQ
Repository 🤗	https://huggingface.co/TheBloke/Chronos-70B-v2-AWQ
Model Name	Chronos 70B v2
Model Creator	Elinas
Base Model(s)	Chronos 70B V2 elinas/chronos-70b-v2
Model Size	70b
Required VRAM	36.6 GB
Updated	2026-07-21
Maintainer	TheBloke
Model Type	llama
Model Files	9.9 GB: 1-of-4 9.9 GB: 2-of-4 9.9 GB: 3-of-4 6.9 GB: 4-of-4
AWQ Quantization	Yes
Quantization Type	awq
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 AWQ 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 Chronos 70B V2 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
...0B Instruct Gradient 1048K AWQ	1024K / 39.9 GB	5	1
...70B Instruct Gradient 262K AWQ	256K / 39.9 GB	5	0
Llama 3.3 70B Instruct AWQ	128K / 39.9 GB	262002	46
...lama 3.3 70B Instruct AWQ INT4	128K / 39.9 GB	82744	30
Llama 3.3 70B Instruct AWQ	128K / 39.9 GB	16090	12
... SauerkrautLM 70B Instruct AWQ	128K / 39.9 GB	5	5
MultiVerse 70B AWQ	32K / 41.3 GB	70	2
Opus V1.2 70B AWQ	32K / 36.7 GB	9	1
QuartetAnemoi 70B T0.0001 AWQ	31K / 36.7 GB	3	1
Senku 70B AWQ 4bit GEMM	31K / 36.7 GB	2	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Chronos-70B-v2-AWQ.