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Qwen3 1.7B Fft Math by KKHYA

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Qwen3 1.7B Fft Math is an open-source language model by KKHYA. Features: 1.7b LLM, VRAM: 4.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-1.7b   Conversational   Endpoints compatible   Full   Generated from trainer   Llama-factory   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/KKHYA/qwen3-1.7b-fft-math 

Qwen3 1.7B Fft Math Benchmarks

LLME Score: 0.30912
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 1.7B Fft Math (KKHYA/qwen3-1.7b-fft-math)
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Qwen3 1.7B Fft Math Parameters and Internals

LLM NameQwen3 1.7B Fft Math
Repository 🤗https://huggingface.co/KKHYA/qwen3-1.7b-fft-math 
Base Model(s)  Qwen/Qwen3-1.7B   Qwen/Qwen3-1.7B
Model Size1.7b
Required VRAM4.1 GB
Updated2026-05-08
MaintainerKKHYA
Model Typeqwen3
Model Files  4.1 GB   0.0 GB
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version5.2.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

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Qwen3 1.7B40K / 4 GB4253852457
Qwen3 1.7B Fft Coding40K / 4.1 GB13430
...up Qwen3 1.7B Datav3 Only Mask40K / 4.1 GB22430
...B Datav3 Only Mask W Item Mesh40K / 4.1 GB4500
BioGenesis ToT40K / 3.4 GB4821
Personal Finance R240K / 3.4 GB3301
Qwen3 1.7B40K / 3.4 GB7809710
Note: green Score (e.g. "73.2") means that the model is better than KKHYA/qwen3-1.7b-fft-math.

Rank the Qwen3 1.7B Fft Math Capabilities

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