What are the hardware requirements for Hunter 1 1.7B?

Hunter 1 1.7B requires approximately 3.4 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hunter 1 1.7B and how large is it?

Hunter 1 1.7B is developed by Lalakai, a model with 1.7b 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 Hunter 1 1.7B?

Hunter 1 1.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hunter 1 1.7B by Lalakai — VRAM 3.4GB, 1024K context

Name: Hunter 1 1.7B
Author: Lalakai

Hunter 1 1.7B is an open-source language model by Lalakai. Features: 1.7b LLM, VRAM: 3.4GB, Context: 1024K, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:finetune:xhtoken/sp... Base model:xhtoken/spark-x2.5-... Causal-reasoning Conversational Custom code Cybersecurity En Incident-response Region:us Safetensors Spark2 5

Model Card on HF 🤗: https://huggingface.co/Lalakai/Hunter-1-1.7B

Hunter 1 1.7B Parameters and Internals

LLM Name	Hunter 1 1.7B
Repository 🤗	https://huggingface.co/Lalakai/Hunter-1-1.7B
Base Model(s)	XHToken/Spark-X2.5-1.7B XHToken/Spark-X2.5-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-10-13
Maintainer	Lalakai
Model Type	spark2_5
Model Files	3.4 GB
Supported Languages	en
Model Architecture	Spark2_5ForCausalLM
License	apache-2.0
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<｜▁pad▁｜>
Vocabulary Size	131072

Rank the Hunter 1 1.7B 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 Hunter 1 1.7B

Best Alternatives	Context / RAM	Downloads	Likes
Webbrain Compass Tiny Xs V3	1024K / 3.4 GB	689	1
Spark X2.5 1.7B	1024K / 3.4 GB	197	42
Spark 1.7B Engram	1024K / 1.6 GB	514	1
Spark X2.5 1.7B Orth R11	1024K / 3.4 GB	370	0
Spark X2.5 1.7B Base	1024K / 3.4 GB	226	5
Spark X2.5 1.7B INT8	1024K / 2 GB	120	9
Spark X2.5 1.7B FP8	1024K / 2 GB	91	8
Feihua N2 1.7B	1024K / 3.4 GB	84	0
...park X2.5 1.7B Ridge 4 6 8 Mlx	1024K / 1.2 GB	14	1
Spark X2.5 1.7B Chat Mlx 4bit	1024K / 1 GB	68	1

Note: green Score (e.g. "73.2") means that the model is better than Lalakai/Hunter-1-1.7B.