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 Autotrain compatible 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 Benchmarks

LLME Score: 0.13217

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Codellama 13B Hf Truncated Embeddings (choprahetarth/codellama-13b-hf-truncated-embeddings)

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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	2025-09-23
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

Best Alternatives to Codellama 13B Hf Truncated Embeddings

Best Alternatives	Context / RAM	Downloads	Likes
NexusRaven V2 13B	16K / 26 GB	85	471
CodeLlama 13B Instruct Hf	16K / 26 GB	2469	160
CodeLlama 13B MORepair	16K / 26 GB	11	2
CodeLlama 13B Hf	16K / 26 GB	2573	117
Tora Code 13B V1.0	16K / 26 GB	878	15
CodeLlama 13B Python Hf	16K / 26 GB	558	51
CodeLlama 13B Hf	16K / 26 GB	1161	0
Speechless Codellama Orca 13B	16K / 26 GB	991	2
CodeLlama13B Finetune V1	16K / 52.1 GB	957	0
...lama Dolphin Orca Platypus 13B	16K / 26 GB	854	2

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

Rank the Codellama 13B Hf Truncated Embeddings Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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Codellama 13B Hf Truncated Embeddings by choprahetarth

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Codellama 13B Hf Truncated Embeddings Benchmarks

Codellama 13B Hf Truncated Embeddings Parameters and Internals

Best Alternatives to Codellama 13B Hf Truncated Embeddings

Rank the Codellama 13B Hf Truncated Embeddings Capabilities

What open-source LLMs or SLMs are you in search of? 54931 in total.