What are the hardware requirements for Speechless Coder Ds 1.3B?

Speechless Coder Ds 1.3B requires approximately 2.7 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 Speechless Coder Ds 1.3B and how large is it?

Speechless Coder Ds 1.3B is developed by uukuguy, a model with 1.3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Speechless Coder Ds 1.3B perform on standard benchmarks?

Speechless Coder Ds 1.3B has the following published scores: MMLU 24.85. Compare against reference models on this page or on the LLM Explorer leaderboards.

Speechless Coder Ds 1.3B by uukuguy — VRAM 2.7GB, 16K context

Name: Speechless Coder Ds 1.3B
Author: uukuguy

Speechless Coder Ds 1.3B is an open-source language model by uukuguy. Features: 1.3b LLM, VRAM: 2.7GB, Context: 16K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.15, Arc: 26.5, HellaSwag: 39.5, MMLU: 24.9, GSM8K: 2.4.

Code Codegen Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss... En Endpoints compatible Instruct Llama Model-index Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/uukuguy/speechless-coder-ds-1.3b

Speechless Coder Ds 1.3B Parameters and Internals

Model Type

text-generation

Training Details

Data Sources:

ise-uiuc/Magicoder-OSS-Instruct-75K, ise-uiuc/Magicoder-Evol-Instruct-110K

Data Volume:

Total 185,193 samples

Context Length:

8192

Input Output

Input Format:

Alpaca instruction format.

LLM Name	Speechless Coder Ds 1.3B
Repository 🤗	https://huggingface.co/uukuguy/speechless-coder-ds-1.3b
Model Size	1.3b
Required VRAM	2.7 GB
Updated	2026-07-27
Maintainer	uukuguy
Model Type	llama
Instruction-Based	Yes
Model Files	2.7 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	32256
Torch Data Type	float16

Rank the Speechless Coder Ds 1.3B 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 Speechless Coder Ds 1.3B

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 1.3B Instruct	16K / 2.7 GB	92255	176
...c Deepseek Coder 1.3B Instruct	16K / 5.4 GB	5	0
Hpc Coder V2.1.3B	16K / 2.7 GB	15	5
... 1.3B Instruct Trt Int4 G64 Hf	16K / 0.9 GB	7	0
...t Structured Output Peft Merge	16K / 2.7 GB	14	0
Datascience Coder 1.3B	16K / 2.7 GB	6	1
...pseek Coder 1.3B Instruct GPTQ	16K / 0.9 GB	91	7
...epseek Coder 1.3B Instruct AWQ	8K / 0.9 GB	80	5
...Coder 1.3B Function Calling V1	16K / 2.7 GB	457	2

Note: green Score (e.g. "73.2") means that the model is better than uukuguy/speechless-coder-ds-1.3b.