LLM EXPLORER 61,755 MODELS INDEXED

Eval Model by inumulaisk

By inumulaisk · 9 downloads
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Eval Model is an open-source language model by inumulaisk. Features: 1.5b LLM, VRAM: 7.1GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.2.

  4bit   Conversational   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/inumulaisk/eval_model 

Eval Model Parameters and Internals

LLM NameEval Model
Repository 🤗https://huggingface.co/inumulaisk/eval_model 
Base Model(s)  unsloth/deepseek-r1-distill-qwen-1.5b-unsloth-bnb-4bit   unsloth/deepseek-r1-distill-qwen-1.5b-unsloth-bnb-4bit
Model Size1.5b
Required VRAM7.1 GB
Updated2026-07-20
Maintainerinumulaisk
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   2.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassLlamaTokenizerFast
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size151936
Torch Data Typefloat32

Best Alternatives to Eval Model

Best Alternatives
Context / RAM
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VibeThinker 1.5B Mlx 4bit128K / 0.9 GB105526
...ill Qwen 1.5B Unsloth Bnb 4bit128K / 1.8 GB1106616
DeepSeek R1 ForumNXT128K / 3.5 GB80
Research PathfinderAI128K / 3.5 GB190
...en 1.5B Trained Alvin0616 Fork128K / 3.5 GB170
... R1 Distill Qwen 1.5B Bnb 4bit128K / 1.6 GB200811
...pSeek R1 Distill Qwen 1.5B 500128K / 1.7 GB60
Umbr0x 1.5B V3.1 16bit 2128K / 15.2 GB190
Qwen2 1.5B SFT 16bit Alpha128K / 3.1 GB80
Deep Ft8 Grp 16bit128K / 3.5 GB70
Note: green Score (e.g. "73.2") means that the model is better than inumulaisk/eval_model.