What are the hardware requirements for Lemur 70B Chat V1?

Lemur 70B Chat V1 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 Lemur 70B Chat V1 and how large is it?

Lemur 70B Chat V1 is developed by OpenLemur, 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 Lemur 70B Chat V1 perform on standard benchmarks?

Lemur 70B Chat V1 has the following published scores: MMLU 65.99. Compare against reference models on this page or on the LLM Explorer leaderboards.

Lemur 70B Chat V1 by OpenLemur — VRAM 138GB, 4K context

Name: Lemur 70B Chat V1
Author: OpenLemur

Lemur 70B Chat V1 is an open-source language model by OpenLemur. Features: 70b LLM, VRAM: 138GB, Context: 4K, License: cc-by-nc-4.0, LLM Explorer Score: 0.1, Arc: 67, HellaSwag: 85.7, MMLU: 66, GSM8K: 35.3.

Arxiv:2310.06830 Code En Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/OpenLemur/lemur-70b-chat-v1

Lemur 70B Chat V1 Parameters and Internals

Model Type

text-generation, code, text-generation-inference

Use Cases

Areas:

research

Additional Notes

The Lemur project is an open collaborative research effort, acknowledged with support from Salesforce, Google Research, and Amazon AWS.

Supported Languages

en (proficient)

LLM Name	Lemur 70B Chat V1
Repository 🤗	https://huggingface.co/OpenLemur/lemur-70b-chat-v1
Model Size	70b
Required VRAM	138 GB
Updated	2026-07-20
Maintainer	OpenLemur
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
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.32.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32005
Torch Data Type	float16

Rank the Lemur 70B Chat V1 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 Lemur 70B Chat V1

Model	Likes	Downloads	VRAM
Lemur 70B Chat V1 GGUF	12	1016	29 GB
Lemur 70B Chat V1 AWQ	1	4	36 GB
Lemur 70B Chat V1 GPTQ	3	19	35 GB
Lemur 70B Chat V1 GGML	3	4	29 GB

Best Alternatives to Lemur 70B Chat V1

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	12	1

Note: green Score (e.g. "73.2") means that the model is better than OpenLemur/lemur-70b-chat-v1.