What are the hardware requirements for Lila 103B L2 AWQ?

Lila 103B L2 AWQ requires approximately 54.4 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 Lila 103B L2 AWQ and how large is it?

Lila 103B L2 AWQ is developed by TheBloke, a model with 103b 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 Lila 103B L2 AWQ?

Lila 103B L2 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lila 103B L2 AWQ by TheBloke — VRAM 54.4GB, 4K context

Name: Lila 103B L2 AWQ
Author: TheBloke

Lila 103B L2 AWQ is an open-source language model by TheBloke. Features: 103b LLM, VRAM: 54.4GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.1.

4-bit Awq Base model:quantized:sao10k/li... Base model:sao10k/lila-103b-l2 En Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheBloke/Lila-103B-L2-AWQ

Lila 103B L2 AWQ Parameters and Internals

Model Type

llama

Additional Notes

Frankenmerge version of Lila between Godzilla and further trained Euryale.

Supported Languages

en (high)

Input Output

Input Format:

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:

Accepted Modalities:

text

Output Format:

text

Release Notes

Version:

AWQ

Notes:

AWQ model files for efficient 4-bit low-bit weight quantization.

Version:

GPTQ

Notes:

Models with multiple quantisation parameter options.

Version:

GGUF

Notes:

2, 3, 4, 5, 6, and 8-bit GGUF models for CPU+GPU inference.

LLM Name	Lila 103B L2 AWQ
Repository 🤗	https://huggingface.co/TheBloke/Lila-103B-L2-AWQ
Model Name	Lila 103B L2
Model Creator	Saofiq
Base Model(s)	Lila 103B L2 Sao10K/Lila-103B-L2
Model Size	103b
Required VRAM	54.4 GB
Updated	2026-08-04
Maintainer	TheBloke
Model Type	llama
Model Files	9.9 GB: 1-of-6 9.9 GB: 2-of-6 9.9 GB: 3-of-6 10.0 GB: 4-of-6 9.9 GB: 5-of-6 4.8 GB: 6-of-6
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Lila 103B L2 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 Lila 103B L2 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Aurora Nights 103B V1.0 AWQ	4K / 54.4 GB	4	1
Rogue Rose 103B V0.2 AWQ	4K / 54.4 GB	10	5
... Dark Miqu 103B 5.0bpw H8 EXL2	31K / 65.1 GB	10	0
...qu 103B V1.5 EXL2 5.0bpw Rpcal	31K / 64.9 GB	9	1
... Miqu 103B V1.5 3.5bpw H6 EXL2	31K / 45.6 GB	2	1
...qu 103B V1.5 EXL2 4.0bpw Rpcal	31K / 52.1 GB	3	1
...qu 103B V1.5 EXL2 3.0bpw Rpcal	31K / 39.3 GB	2	1
...ght Miqu 103B V1.0 EXL2 4.5bpw	31K / 58.7 GB	7	1
...ght Miqu 103B V1.0 EXL2 4.0bpw	31K / 52.2 GB	6	1
...ht Miqu 103B V1.0 EXL2 4.25bpw	31K / 55.3 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Lila-103B-L2-AWQ.