What are the hardware requirements for Llama 350M?

Llama 350M requires approximately 0.7 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 350M and how large is it?

Llama 350M is developed by LeoLearntoCode, a model with 350m 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 Llama 350M?

Llama 350M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 350M by LeoLearntoCode — VRAM 0.7GB, 16K context

Name: Llama 350M
Author: LeoLearntoCode

Llama 350M is an open-source language model by LeoLearntoCode. Features: 350m LLM, VRAM: 0.7GB, Context: 16K.

Arxiv:1910.09700 Autotrain compatible Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/LeoLearntoCode/llama-350m

Llama 350M Parameters and Internals

LLM Name	Llama 350M
Repository 🤗	https://huggingface.co/LeoLearntoCode/llama-350m
Model Size	350m
Required VRAM	0.7 GB
Updated	2024-07-04
Maintainer	LeoLearntoCode
Model Type	llama
Model Files	0.7 GB
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.41.1
Vocabulary Size	50277
Torch Data Type	float16

Rank the Llama 350M capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Llama 350M

Best Alternatives	Context / RAM	Downloads	Likes
Atom 350M	8K / 0.7 GB	19	2
... Model On 350B GneissWeb.seed3	8K / 27.4 GB	71	1
... Model On 350B GneissWeb.seed2	8K / 27.4 GB	63	1
...on Model On 350B FineWeb.seed3	8K / 27.4 GB	57	1
...on Model On 350B FineWeb.seed1	8K / 27.4 GB	68	1
...on Model On 350B FineWeb.seed2	8K / 27.4 GB	23	1
...odel On 350B FineWeb.Edu.seed2	8K / 27.4 GB	23	1
...odel On 350B FineWeb.Edu.seed1	8K / 27.4 GB	58	1
...odel On 350B FineWeb.Edu.seed3	8K / 27.4 GB	6	1
... Model On 350B GneissWeb.seed1	8K / 27.4 GB	15	1

Note: green Score (e.g. "73.2") means that the model is better than LeoLearntoCode/llama-350m.