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Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16 by Tralalabs

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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.

  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 (Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16)
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Qwen3 2507 4B Instruct Haiku 4.5 Merged FP16 Parameters and Internals

LLM NameQwen3 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 ModelYes
Model Size4b
Required VRAM8.1 GB
Updated2026-05-09
MaintainerTralalabs
Model Typeqwen3
Instruction-BasedYes
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 Languagesen
Quantization Typefp16
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.8.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Errorsreplace

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...wen3 4B Instruct 2507 Sft Full256K / 8.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than Tralalabs/Qwen3-2507-4B-Instruct-Haiku-4.5-Merged-FP16.

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

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Instruction Following and Task Automation  
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