What are the hardware requirements for Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16?

Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16 requires approximately 8.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16 and how large is it?

Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16 is developed by Tralalabs, a model with 4b 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 Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16?

Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16 by Tralalabs — VRAM 8.1GB, 256K context

Name: Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16
Author: Tralalabs

Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16 is an open-source language model by Tralalabs. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.24.

Merged Model Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-4b-instr... Conversational Dataset:teichai/claude-haiku-4... En Endpoints compatible Fp16 Instruct Instruction-tuned Lora No-4bit Quantized Qwen Qwen3 Qwen3-4b Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16

Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16 Parameters and Internals

LLM Name	Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16
Repository 🤗	https://huggingface.co/Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Merged Model	Yes
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-30
Maintainer	Tralalabs
Model Type	qwen3
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-5 2.0 GB: 2-of-5 2.0 GB: 3-of-5 2.0 GB: 4-of-5 0.1 GB: 5-of-5
Supported Languages	en
Quantization Type	fp16
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.8.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16 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 Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4b Merged Txt	256K / 8.1 GB	535	0
...Instruct 2507 Unsloth Bnb 4bit	256K / 3.5 GB	155962	14
...wen 3 4b Mythos Finetune 16bit	256K / 8.1 GB	92	0
Qwen3 4B Instruct 2507 4bit	256K / 2.3 GB	40955	11
Qwen3 4B INST Code	256K / 8.1 GB	12	0
Qwen3 4B INST Math	256K / 8.1 GB	11	0
Agent 4b	256K / 8.1 GB	16	0
...wen3 4B Instruct 2507 Bnb 4bit	256K / 2.6 GB	6833	5
Jan V3 4B Base Instruct 4bit	256K / 2.3 GB	279	2
Fact Extractor Dev 1b	256K / 8.1 GB	20	0

Note: green Score (e.g. "73.2") means that the model is better than Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16.