What are the hardware requirements for Codellama 13B Hf Truncated Embeddings?

Codellama 13B Hf Truncated Embeddings requires approximately 52.3 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 Codellama 13B Hf Truncated Embeddings and how large is it?

Codellama 13B Hf Truncated Embeddings is developed by choprahetarth, a model with 13b 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 Codellama 13B Hf Truncated Embeddings?

Codellama 13B Hf Truncated Embeddings is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Codellama 13B Hf Truncated Embeddings by choprahetarth — VRAM 52.3GB, 16K context

Name: Codellama 13B Hf Truncated Embeddings
Author: choprahetarth

Codellama 13B Hf Truncated Embeddings is an open-source language model by choprahetarth. Features: 13b LLM, VRAM: 52.3GB, Context: 16K, Code Generating, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Codegen Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/choprahetarth/codellama-13b-hf-truncated-embeddings

Codellama 13B Hf Truncated Embeddings Parameters and Internals

LLM Name	Codellama 13B Hf Truncated Embeddings
Repository 🤗	https://huggingface.co/choprahetarth/codellama-13b-hf-truncated-embeddings
Model Size	13b
Required VRAM	52.3 GB
Updated	2026-07-23
Maintainer	choprahetarth
Model Type	llama
Model Files	4.9 GB: 1-of-11 5.0 GB: 2-of-11 5.0 GB: 3-of-11 5.0 GB: 4-of-11 5.0 GB: 5-of-11 4.8 GB: 6-of-11 4.8 GB: 7-of-11 4.8 GB: 8-of-11 5.0 GB: 9-of-11 5.0 GB: 10-of-11 3.0 GB: 11-of-11
Generates Code	Yes
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.39.3
Vocabulary Size	32016
Torch Data Type	float32

Rank the Codellama 13B Hf Truncated Embeddings 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 Codellama 13B Hf Truncated Embeddings

Best Alternatives	Context / RAM	Downloads	Likes
NexusRaven V2 13B	16K / 26 GB	105	472
CodeLlama 13B Instruct Hf	16K / 26 GB	2469	160
CodeLlama 13B MORepair	16K / 26 GB	9	2
CodeLlama 13B Hf	16K / 26 GB	3466	117
Tora Code 13B V1.0	16K / 26 GB	878	15
CodeLlama 13B Python Hf	16K / 26 GB	558	51
...ma Airoboros Orca Platypus 13B	16K / 26 GB	117	0
Codellama 13B Oasst Sft V10	16K / 25.9 GB	184	70
CodeLlama 13B Hf	16K / 26 GB	224	0
CodeLlama 13B Instruct Hf	16K / 26 GB	369	29

Note: green Score (e.g. "73.2") means that the model is better than choprahetarth/codellama-13b-hf-truncated-embeddings.