What are the hardware requirements for Slipstream Minicpm5 1B Forecaster?

Slipstream Minicpm5 1B Forecaster requires approximately 0.7 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 Slipstream Minicpm5 1B Forecaster and how large is it?

Slipstream Minicpm5 1B Forecaster is developed by ashaibani, 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 Slipstream Minicpm5 1B Forecaster?

Slipstream Minicpm5 1B Forecaster is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Slipstream Minicpm5 1B Forecaster by ashaibani — VRAM 0.7GB, 128K context

Name: Slipstream Minicpm5 1B Forecaster
Author: ashaibani

Slipstream Minicpm5 1B Forecaster is an open-source language model by ashaibani. Features: 1b LLM, VRAM: 0.7GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.26.

Agent Base model:openbmb/minicpm5-1b Base model:quantized:openbmb/m... Conversational Distillation Earned-value Endpoints compatible Forecasting Gguf Llama Llama-cpp Llama.cpp Minicpm Project-controls Q4 Quantized Region:us Timesfm Tool-calling

Model Card on HF 🤗: https://huggingface.co/ashaibani/slipstream-minicpm5-1b-forecaster

Slipstream Minicpm5 1B Forecaster Parameters and Internals

LLM Name	Slipstream Minicpm5 1B Forecaster
Repository 🤗	https://huggingface.co/ashaibani/slipstream-minicpm5-1b-forecaster
Base Model(s)	MiniCPM5 1B openbmb/MiniCPM5-1B
Model Size	1b
Required VRAM	0.7 GB
Updated	2026-06-08
Maintainer	ashaibani
Model Type	llama
Model Files	0.7 GB 1.1 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.6.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	</s>
Vocabulary Size	130560
Torch Data Type	bfloat16

Rank the Slipstream Minicpm5 1B Forecaster 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
Code Generation
Multi-Language Support and Translation

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Llama 3.2 1B Aimv2 V2	128K / 0.8 GB	62	0
Llama 3.2 1B Sarcasm Rewriter	128K / 2.5 GB	12	0
Llama 3.2 1B Instruct GGUF	128K / 0.4 GB	19144	69
Llama 3.2 SUN 1B Chat	128K / 1.6 GB	34	2
Llama 3.2 1B	128K / 0.9 GB	102	0
Regex AI Llama 3.2 1B	128K / 0.8 GB	115	1
Llama 3 Fine Tuned C	128K / 1.3 GB	14	0
Mankei 1B Chat	4K / 0.5 GB	0	1
Rodin 1B	2K / 0.9 GB	311	2
Test Gguf Trainer	2K / 0 GB	17	1

Note: green Score (e.g. "73.2") means that the model is better than ashaibani/slipstream-minicpm5-1b-forecaster.