What are the hardware requirements for MiniCPM5 1B Claude Opus Fable5 V2 Thinking?

MiniCPM5 1B Claude Opus Fable5 V2 Thinking requires approximately 2.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MiniCPM5 1B Claude Opus Fable5 V2 Thinking and how large is it?

MiniCPM5 1B Claude Opus Fable5 V2 Thinking is developed by GnLOLot, a model with 1b 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 MiniCPM5 1B Claude Opus Fable5 V2 Thinking?

MiniCPM5 1B Claude Opus Fable5 V2 Thinking is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniCPM5 1B Claude Opus Fable5 V2 Thinking by GnLOLot — VRAM 2.2GB, 128K context

Name: MiniCPM5 1B Claude Opus Fable5 V2 Thinking
Author: GnLOLot

MiniCPM5 1B Claude Opus Fable5 V2 Thinking is an open-source language model by GnLOLot. Features: 1b LLM, VRAM: 2.2GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

Base model:finetune:openbmb/mi... Base model:openbmb/minicpm5-1b Coding Conversational En Endpoints compatible Fable5 Function-calling Instruct Instruction-following Llama Minicpm Minicpm5 Region:us Safetensors Thinking Tool-calling Zh

Model Card on HF 🤗: https://huggingface.co/GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking

MiniCPM5 1B Claude Opus Fable5 V2 Thinking Parameters and Internals

LLM Name	MiniCPM5 1B Claude Opus Fable5 V2 Thinking
Repository 🤗	https://huggingface.co/GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking
Base Model(s)	MiniCPM5 1B openbmb/MiniCPM5-1B
Model Size	1b
Required VRAM	2.2 GB
Updated	2026-07-15
Maintainer	GnLOLot
Model Type	llama
Instruction-Based	Yes
Model Files	2.2 GB
Supported Languages	en zh
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.6.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	</s>
Vocabulary Size	130560

Rank the MiniCPM5 1B Claude Opus Fable5 V2 Thinking 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 MiniCPM5 1B Claude Opus Fable5 V2 Thinking

Model	Likes	Downloads	VRAM
... Fable5 V2 Thinking OptiQ 4bit	5	1564	0 GB

Best Alternatives to MiniCPM5 1B Claude Opus Fable5 V2 Thinking

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	328	2
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
Type O1 Mini Instruct	128K / 2.5 GB	232	0
ShaziLLM 1B	128K / 2.2 GB	186	0

Note: green Score (e.g. "73.2") means that the model is better than GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking.