What are the hardware requirements for LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P?

LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P requires approximately 16.7 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P and how large is it?

LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P is developed by DavidAU, a model with 8b 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 LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P?

LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P by DavidAU — VRAM 16.7GB, 125K context

Name: LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P
Author: DavidAU

LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P is an open-source language model by DavidAU. Features: 8b LLM, VRAM: 16.7GB, Context: 125K, License: apache-2.0, LLM Explorer Score: 0.24.

Aliterated All genres All use cases Base model:finetune:liquidai/l... Base model:liquidai/lfm2-8b-a1... Bfloat16 Coder Conversational Creative Creative writing En Endpoints compatible Fiction Fiction story Fiction writing Finetuned Heretic Lfm2 moe Mixture of experts Moe Plot generation Region:us Roleplaying Romance Safetensors Scene continue Science fiction Sharded Sparse moe Story Story generation Storytelling Sub-plot generation Tensorflow Uncensored Unsloth Vivid prosing Vivid writing Writing

Model Card on HF 🤗: https://huggingface.co/DavidAU/LFM2-8B-A1B-GLM-4.7-Flash-Thinking-Quantum-IQ1C-P

LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P Parameters and Internals

LLM Name	LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P
Repository 🤗	https://huggingface.co/DavidAU/LFM2-8B-A1B-GLM-4.7-Flash-Thinking-Quantum-IQ1C-P
Base Model(s)	LFM2 8B A1B LiquidAI/LFM2-8B-A1B
Model Size	8b
Required VRAM	16.7 GB
Updated	2026-09-13
Maintainer	DavidAU
Model Type	lfm2_moe
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 1.7 GB: 4-of-4
Supported Languages	en
Model Architecture	Lfm2MoeForCausalLM
License	apache-2.0
Context Length	128000
Model Max Length	128000
Transformers Version	4.57.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P capabilities

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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
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Multi-Language Support and Translation

Best Alternatives to LFM2 8B A1B GLM 4.7 Flash Thinking Quantum IQ1C P

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 8B A1B	125K / 16.9 GB	84755	670
...inal ToolBench Full SFT 1Epoch	125K / 16.9 GB	8867	2
LFM2.5 8B A1B Base	125K / 16.9 GB	4201	29
LFM2 8B A1B	125K / 16.7 GB	30570	370
LFM2.5 8B A1B Opus Distil	125K / 16.9 GB	2127	5
LFM2.5 8B A1B	125K / 16.9 GB	1240	13
LFM2.5 8B A1B NVFP4	125K / 6.9 GB	460	7
LFM2.5 8B A1B MLX Bf16	125K / 16.8 GB	359	8
... IQ1C Qwen3.6 35B A3B DISTILL2	125K / 16.7 GB	127	3
Supertron2.1 8B A1B	125K / 17 GB	96	6

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/LFM2-8B-A1B-GLM-4.7-Flash-Thinking-Quantum-IQ1C-P.