What are the hardware requirements for CodeLlama 7B Python Onnx Fp16?

CodeLlama 7B Python Onnx Fp16 requires a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CodeLlama 7B Python Onnx Fp16 and how large is it?

CodeLlama 7B Python Onnx Fp16 is developed by aless2212, a model with 7b 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 7B Python Onnx Fp16?

CodeLlama 7B Python Onnx Fp16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CodeLlama 7B Python Onnx Fp16 by aless2212 — 16K context

Name: CodeLlama 7B Python Onnx Fp16
Author: aless2212

CodeLlama 7B Python Onnx Fp16 is an open-source language model by aless2212. Features: 7b LLM, Context: 16K, Quantized, Code Generating, LLM Explorer Score: 0.11.

Codegen Endpoints compatible Fp16 Llama Onnx Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/aless2212/CodeLlama-7b-Python-onnx-fp16

CodeLlama 7B Python Onnx Fp16 Parameters and Internals

LLM Name	CodeLlama 7B Python Onnx Fp16
Repository 🤗	https://huggingface.co/aless2212/CodeLlama-7b-Python-onnx-fp16
Model Size	7b
Updated	2026-08-04
Maintainer	aless2212
Model Type	llama
Quantization Type	fp16
Generates Code	Yes
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.39.1
Tokenizer Class	CodeLlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the CodeLlama 7B Python Onnx Fp16 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 CodeLlama 7B Python Onnx Fp16

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 7B Java 16bit	16K / 13.5 GB	10	0
Codellama 7B Bnb 4bit	16K / 3.9 GB	3695	9
...ruct Solidity Bnb 4bit Smashed	16K / 4.2 GB	6	0
...lama 7B Tofuagent Contpretrain	16K / 13.5 GB	6	0
...B Instruct Hf Bnb 4bit Smashed	16K / 4.2 GB	6	0
CodeLlama 7B Python 4bit MLX	16K / 4 GB	235	14
CodelLama7B Inst DPO 7K Mlx	16K / 4.2 GB	49	4
...pMagic Coder 7B 8.0bpw H8 EXL2	16K / 6.9 GB	3	1
...eLlama 7B Instruct Hf 4bit MLX	16K / 4.2 GB	84	3
CodeLlama 7B Fp16	16K / 13.5 GB	14	7

Note: green Score (e.g. "73.2") means that the model is better than aless2212/CodeLlama-7b-Python-onnx-fp16.