What are the hardware requirements for Xwin LM 70B V0.1 LORA?

Xwin LM 70B V0.1 LORA requires approximately 1.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Xwin LM 70B V0.1 LORA and how large is it?

Xwin LM 70B V0.1 LORA is developed by ChuckMcSneed, 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 Xwin LM 70B V0.1 LORA?

Xwin LM 70B V0.1 LORA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Xwin LM 70B V0.1 LORA by ChuckMcSneed — VRAM 1.7GB

Name: Xwin LM 70B V0.1 LORA
Author: ChuckMcSneed

Xwin LM 70B V0.1 LORA is an open-source language model by ChuckMcSneed. Features: 70b LLM, VRAM: 1.7GB, LLM Explorer Score: 0.11.

Adapter Base model:adapter:meta-llama/... Base model:meta-llama/llama-2-... Finetuned Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ChuckMcSneed/Xwin-LM-70B-V0.1-LORA

Xwin LM 70B V0.1 LORA Parameters and Internals

Model Type

text-generation

Additional Notes

Low-rank decomposition using meta-llama/Llama-2-70b-hf as base. Created using a custom fork of LoRD.

LLM Name	Xwin LM 70B V0.1 LORA
Repository 🤗	https://huggingface.co/ChuckMcSneed/Xwin-LM-70B-V0.1-LORA
Base Model(s)	Llama 2 70B Hf meta-llama/Llama-2-70b-hf
Model Size	70b
Required VRAM	1.7 GB
Updated	2026-09-09
Maintainer	ChuckMcSneed
Model Files	1.7 GB
Model Architecture	Adapter
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|lm_head\|v_proj\|o_proj\|k_proj\|up_proj\|q_proj\|down_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	32

Rank the Xwin LM 70B V0.1 LORA 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

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Llama 3.1 70B Abliterated Lora	0K / 1.7 GB	72	4
...aiga Llama3 70b Sft M1 D5 Lora	0K / 5.9 GB	0	1
Llama 3 70B Instruct Spider	0K / 141.9 GB	6	0
Airoboros 70B 3.3 Peft	0K / 0.4 GB	0	2
Llama3v1	0K / 0.1 GB	5	0
Euryale 1.3 L2 70B LORA	0K / 1.7 GB	8	1
Miqu 1 70B Hermes2.5 Qlora	0K / 4.8 GB	7	4
Miqu Limarp 70B DPO Safefile	0K / 38.4 GB	5	1
Limarp Miqu 1 70B Qlora	0K / 1.7 GB	5	4
Limarp Miqu 1 70B Qlora	0K / 1.7 GB	2	4

Note: green Score (e.g. "73.2") means that the model is better than ChuckMcSneed/Xwin-LM-70B-V0.1-LORA.