What are the hardware requirements for Claude Toolcall Slm 2B Safetensors?

Claude Toolcall Slm 2B Safetensors requires approximately 3.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Claude Toolcall Slm 2B Safetensors and how large is it?

Claude Toolcall Slm 2B Safetensors is developed by mondk, a model with 2b 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 Claude Toolcall Slm 2B Safetensors?

Claude Toolcall Slm 2B Safetensors is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Claude Toolcall Slm 2B Safetensors by mondk — VRAM 3.4GB, 8K context

Name: Claude Toolcall Slm 2B Safetensors
Author: mondk

Claude Toolcall Slm 2B Safetensors is an open-source language model by mondk. Features: 2b LLM, VRAM: 3.4GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.24.

Base model:finetune:mondk/clau... Base model:mondk/claude-toolca... Claude Conversational Dataset:bigcode/the-stack Dataset:huggingfacetb/smollm-c... Dataset:huggingfacetb/smoltalk Dataset:mondk/claude-code-fabl... Dataset:openbmb/ultrafeedback En Llama Region:us Safetensors Tiny

Model Card on HF 🤗: https://huggingface.co/mondk/claude-toolcall-slm-2B-safetensors

Claude Toolcall Slm 2B Safetensors Parameters and Internals

LLM Name	Claude Toolcall Slm 2B Safetensors
Repository 🤗	https://huggingface.co/mondk/claude-toolcall-slm-2B-safetensors
Base Model(s)	mondk/claude-toolcall-slm-2B mondk/claude-toolcall-slm-2B
Model Size	2b
Required VRAM	3.4 GB
Updated	2026-08-13
Maintainer	mondk
Model Type	llama
Model Files	3.4 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	49153
Torch Data Type	float16
Errors	replace

Rank the Claude Toolcall Slm 2B Safetensors 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

Quantized Models of the Claude Toolcall Slm 2B Safetensors

Model	Likes	Downloads	VRAM
...ll Slm 2B Safetensors Mlx 4Bit	4	267	1 GB

Best Alternatives to Claude Toolcall Slm 2B Safetensors

Best Alternatives	Context / RAM	Downloads	Likes
MiniCPM5 2B Base	512K / 5 GB	54	17
MiniCPM5 2B	128K / 5 GB	2879	623
Huihui MiniCPM5 2B Abliterated	128K / 5 GB	1099	12
...iniCPM5 2B RotSVDMix Quantized	128K / 2 GB	1389	1
MiniCPM5 2B MLX	128K / 1.4 GB	288	24
BananaMind CodeQ 1.3 2B	128K / 5.1 GB	641	3
Abliterated Minicpm5 2B V3	128K / 5 GB	554	0
Abliterated Minicpm5 2B V2	128K / 5 GB	605	0
...aude Fable5 1 Thinking Agentic	128K / 5 GB	250	1
...iniCPM5 2B SFT Pashto Instruct	128K / 5 GB	1076	0

Note: green Score (e.g. "73.2") means that the model is better than mondk/claude-toolcall-slm-2B-safetensors.