What are the hardware requirements for Miqu 1 70B Sf?

Miqu 1 70B Sf requires approximately 138.7 GB of VRAM and supports a context window of 31K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Miqu 1 70B Sf and how large is it?

Miqu 1 70B Sf is developed by 152334H, 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 Miqu 1 70B Sf perform on standard benchmarks?

Miqu 1 70B Sf has the following published scores: MMLU 75.49. Compare against reference models on this page or on the LLM Explorer leaderboards.

Miqu 1 70B Sf by 152334H — VRAM 138.7GB, 31K context

Name: Miqu 1 70B Sf
Author: 152334H

Miqu 1 70B Sf is an open-source language model by 152334H. Features: 70b LLM, VRAM: 138.7GB, Context: 31K, LLM Explorer Score: 0.21, Arc: 73, HellaSwag: 88.6, MMLU: 75.5, GSM8K: 67.7.

Conversational En Endpoints compatible Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/152334H/miqu-1-70b-sf

Miqu 1 70B Sf Parameters and Internals

Model Type

text generation

Additional Notes

Model is dequantized from q5 to f16 and transposed to PyTorch.

Input Output

Input Format:

Prompted text with tokenized input.

Accepted Modalities:

text

Output Format:

Generated text output.

Performance Tips:

Device with multiple GPUs recommended due to model size.

LLM Name	Miqu 1 70B Sf
Repository 🤗	https://huggingface.co/152334H/miqu-1-70b-sf
Model Size	70b
Required VRAM	138.7 GB
Updated	2026-09-10
Maintainer	152334H
Model Type	llama
Model Files	4.7 GB: 1-of-29 4.7 GB: 2-of-29 5.0 GB: 3-of-29 5.0 GB: 4-of-29 4.7 GB: 5-of-29 4.7 GB: 6-of-29 4.7 GB: 7-of-29 5.0 GB: 8-of-29 5.0 GB: 9-of-29 4.7 GB: 10-of-29 4.7 GB: 11-of-29 4.7 GB: 12-of-29 5.0 GB: 13-of-29 5.0 GB: 14-of-29 4.7 GB: 15-of-29 4.7 GB: 16-of-29 4.7 GB: 17-of-29 5.0 GB: 18-of-29 5.0 GB: 19-of-29 4.7 GB: 20-of-29 4.7 GB: 21-of-29 4.7 GB: 22-of-29 5.0 GB: 23-of-29 5.0 GB: 24-of-29 4.7 GB: 25-of-29 4.7 GB: 26-of-29 4.7 GB: 27-of-29 5.0 GB: 28-of-29 3.8 GB: 29-of-29
Supported Languages	en
Model Architecture	LlamaForCausalLM
Context Length	32764
Model Max Length	32764
Transformers Version	4.36.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Miqu 1 70B Sf 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 Miqu 1 70B Sf

Model	Likes	Downloads	VRAM
...erated Miqu 70B 3.5bpw H6 EXL2	1	6	30 GB
...erated Miqu 70B 4.0bpw H6 EXL2	1	3	35 GB
Miqu 1 103B 5.0bpw H6 EXL2	2	9	65 GB
Miqu 1 103B 3.5bpw H6 EXL2	3	4	45 GB
Miqu 1 103B 2.4bpw H6 EXL2	1	4	31 GB
Miqu 1 103B 3.0bpw H6 EXL2	1	2	39 GB
Miqu 1 70B Sf GPTQ	10	31	36 GB
...am Miqu 1 120B 2.65bpw H6 EXL2	2	4	40 GB
...ram Miqu 1 120B 2.4bpw H6 EXL2	2	2	36 GB
...ram Miqu 1 120B 4.0bpw H6 EXL2	1	4	60 GB

Best Alternatives to Miqu 1 70B Sf

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... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
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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	12	1