What are the hardware requirements for MoMo 70B Lora 1.8.6 DPO GPTQ?

MoMo 70B Lora 1.8.6 DPO GPTQ requires approximately 41.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MoMo 70B Lora 1.8.6 DPO GPTQ and how large is it?

MoMo 70B Lora 1.8.6 DPO GPTQ is developed by MaziyarPanahi, 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 MoMo 70B Lora 1.8.6 DPO GPTQ?

MoMo 70B Lora 1.8.6 DPO GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MoMo 70B Lora 1.8.6 DPO GPTQ by MaziyarPanahi — VRAM 41.3GB, 32K context

Name: MoMo 70B Lora 1.8.6 DPO GPTQ
Author: MaziyarPanahi

MoMo 70B Lora 1.8.6 DPO GPTQ is an open-source language model by MaziyarPanahi. Features: 70b LLM, VRAM: 41.3GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

Arxiv:2106.09685 Arxiv:2305.18290 4-bit Autotrain compatible Base model:finetune:moreh/momo... Base model:moreh/momo-72b-lora... En Endpoints compatible Finetuned Gptq Has space Llama Lora Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/MoMo-70B-lora-1.8.6-DPO-GPTQ

MoMo 70B Lora 1.8.6 DPO GPTQ Parameters and Internals

Model Type

text-generation

LLM Name	MoMo 70B Lora 1.8.6 DPO GPTQ
Repository 🤗	https://huggingface.co/MaziyarPanahi/MoMo-70B-lora-1.8.6-DPO-GPTQ
Model Name	MoMo-70B-lora-1.8.6-DPO-GPTQ
Model Creator	moreh
Base Model(s)	moreh/MoMo-70B-lora-1.8.6-DPO moreh/MoMo-70B-lora-1.8.6-DPO
Model Size	70b
Required VRAM	41.3 GB
Updated	2026-08-03
Maintainer	MaziyarPanahi
Model Type	llama
Model Files	41.3 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	152064
LoRA Model	Yes
Torch Data Type	float16

Rank the MoMo 70B Lora 1.8.6 DPO GPTQ 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 MoMo 70B Lora 1.8.6 DPO GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	517	6
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	129	0
...ama 3.1 70B Instruct Gptq 4bit	128K / 39.9 GB	7	4
Opus V1.2 70B Marlin	32K / 36.4 GB	8	0
MoMo 70B Lora 1.8.4 DPO GPTQ	32K / 41.3 GB	5	1
Tess 70B V1.6 Marlin	31K / 36.3 GB	7	1
Midnight Miqu 70B V1.5 GPTQ32G	31K / 40.7 GB	43	4
...Midnight Miqu 70B V1.0 GPTQ32G	31K / 40.7 GB	8	2
Senku 70B GPTQ 4bit	31K / 36.7 GB	6	1
Miqu 1 70B Sf GPTQ	31K / 40.7 GB	2	1

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/MoMo-70B-lora-1.8.6-DPO-GPTQ.