What are the hardware requirements for Alpina Big 2.0 300M?

Alpina Big 2.0 300M requires approximately 0.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Alpina Big 2.0 300M and how large is it?

Alpina Big 2.0 300M is developed by Convergent-ch, a model with 300m 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 Alpina Big 2.0 300M?

Alpina Big 2.0 300M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Alpina Big 2.0 300M by Convergent-ch — VRAM 0.6GB, 2K context

Name: Alpina Big 2.0 300M
Author: Convergent-ch

Alpina Big 2.0 300M is an open-source language model by Convergent-ch. Features: 300m LLM, VRAM: 0.6GB, Context: 2K, License: apache-2.0, Quantized.

Alpina Conversational En Endpoints compatible Experimental Gguf Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Convergent-ch/Alpina-Big-2.0-300M

Alpina Big 2.0 300M Parameters and Internals

LLM Name	Alpina Big 2.0 300M
Repository 🤗	https://huggingface.co/Convergent-ch/Alpina-Big-2.0-300M
Model Size	300m
Required VRAM	0.6 GB
Updated	2026-11-05
Maintainer	Convergent-ch
Model Type	llama
Model Files	0.6 GB 0.6 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.3.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49152
Errors	replace

Rank the Alpina Big 2.0 300M 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 Alpina Big 2.0 300M

Best Alternatives	Context / RAM	Downloads	Likes
CBLM Code 300M	1K / 0.6 GB	29	0

Note: green Score (e.g. "73.2") means that the model is better than Convergent-ch/Alpina-Big-2.0-300M.