What are the hardware requirements for Seq Monkey Pretrain Base 1.5B?

Seq Monkey Pretrain Base 1.5B requires approximately 3.5 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 Seq Monkey Pretrain Base 1.5B and how large is it?

Seq Monkey Pretrain Base 1.5B is developed by flylcw, a model with 1.5b 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 Seq Monkey Pretrain Base 1.5B?

Seq Monkey Pretrain Base 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Seq Monkey Pretrain Base 1.5B by flylcw — VRAM 3.5GB, 128K context

Name: Seq Monkey Pretrain Base 1.5B
Author: flylcw

Seq Monkey Pretrain Base 1.5B is an open-source language model by flylcw. Features: 1.5b LLM, VRAM: 3.5GB, Context: 128K, License: mit, LLM Explorer Score: 0.26.

Base-model Chinese Conversational Dataset:ddzhu123/seq-monkey Endpoints compatible From-scratch Pretrained Qwen Qwen2 Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/flylcw/seq_monkey_pretrain_base_1.5B

Seq Monkey Pretrain Base 1.5B Parameters and Internals

LLM Name	Seq Monkey Pretrain Base 1.5B
Repository 🤗	https://huggingface.co/flylcw/seq_monkey_pretrain_base_1.5B
Model Size	1.5b
Required VRAM	3.5 GB
Updated	2026-07-28
Maintainer	flylcw
Model Type	qwen2
Model Files	3.5 GB
Supported Languages	zh
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Seq Monkey Pretrain Base 1.5B 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

Best Alternatives to Seq Monkey Pretrain Base 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	27	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Qwen2 1.5B	128K / 3.1 GB	195380	102
Polyalign Qwen2.5 1.5B En Sft	128K / 6.2 GB	40	0

Note: green Score (e.g. "73.2") means that the model is better than flylcw/seq_monkey_pretrain_base_1.5B.