What are the hardware requirements for ReflectionCoder DS 33B?

ReflectionCoder DS 33B requires approximately 67 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 ReflectionCoder DS 33B and how large is it?

ReflectionCoder DS 33B is developed by SenseLLM, a model with 33b 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 ReflectionCoder DS 33B?

ReflectionCoder DS 33B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ReflectionCoder DS 33B by SenseLLM — VRAM 67GB, 16K context

Name: ReflectionCoder DS 33B
Author: SenseLLM

ReflectionCoder DS 33B is an open-source language model by SenseLLM. Features: 33b LLM, VRAM: 67GB, Context: 16K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.18.

Arxiv:2405.17057 Codegen Conversational Dataset:sensellm/reflectionseq... Dataset:sensellm/reflectionseq... En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SenseLLM/ReflectionCoder-DS-33B

ReflectionCoder DS 33B Parameters and Internals

Model Type

code generation

Use Cases

Areas:

research

Applications:

code optimization, automatic code generation

Additional Notes

ReflectionCoder effectively leverages reflection sequences constructed by integrating compiler feedback to improve code generation.

Supported Languages

en (high)

Input Output

Input Format:

<|user|>...<|assistant|>...<|endofmessage|>

Accepted Modalities:

text

Output Format:

<|text|>...<|endofblock|>

LLM Name	ReflectionCoder DS 33B
Repository 🤗	https://huggingface.co/SenseLLM/ReflectionCoder-DS-33B
Model Size	33b
Required VRAM	67 GB
Updated	2026-08-04
Maintainer	SenseLLM
Model Type	llama
Model Files	4.9 GB: 1-of-14 4.8 GB: 2-of-14 4.8 GB: 3-of-14 4.8 GB: 4-of-14 4.8 GB: 5-of-14 4.8 GB: 6-of-14 4.8 GB: 7-of-14 4.8 GB: 8-of-14 4.8 GB: 9-of-14 4.8 GB: 10-of-14 4.8 GB: 11-of-14 4.8 GB: 12-of-14 4.8 GB: 13-of-14 4.5 GB: 14-of-14
Supported Languages	en
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	32029
Torch Data Type	bfloat16

Rank the ReflectionCoder DS 33B 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

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