What are the hardware requirements for Speechless Coder Ds 6.7B?

Speechless Coder Ds 6.7B requires approximately 13.5 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 6.7B and how large is it?

Speechless Coder Ds 6.7B is developed by uukuguy, a model with 6.7b 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 6.7B perform on standard benchmarks?

Speechless Coder Ds 6.7B has the following published scores: MMLU 38.08. Compare against reference models on this page or on the LLM Explorer leaderboards.

Speechless Coder Ds 6.7B by uukuguy — VRAM 13.5GB, 16K context

Name: Speechless Coder Ds 6.7B
Author: uukuguy

Speechless Coder Ds 6.7B is an open-source language model by uukuguy. Features: 6.7b LLM, VRAM: 13.5GB, Context: 16K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.17, Arc: 36.9, HellaSwag: 52.5, MMLU: 38.1, GSM8K: 18.7.

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

Model Card on HF 🤗: https://huggingface.co/uukuguy/speechless-coder-ds-6.7b

Speechless Coder Ds 6.7B Parameters and Internals

Model Type

text-generation

Use Cases

Primary Use Cases:

Code generation and assistance

Additional Notes

Improves model's reasoning and planning abilities.

Training Details

Data Sources:

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

Data Volume:

185,193 samples

Methodology:

Fine-tuning deepseek-ai/deepseek-coder-6.7b to improve reasoning and planning abilities

Context Length:

8192

Input Output

Input Format:

Alpaca instruction format

Accepted Modalities:

text

Output Format:

text

LLM Name	Speechless Coder Ds 6.7B
Repository 🤗	https://huggingface.co/uukuguy/speechless-coder-ds-6.7b
Model Size	6.7b
Required VRAM	13.5 GB
Updated	2026-07-12
Maintainer	uukuguy
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2
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 6.7B 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

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