What are the hardware requirements for Deepseek Coder 1.3B Function Calling V1?

Deepseek Coder 1.3B Function Calling V1 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 Deepseek Coder 1.3B Function Calling V1 and how large is it?

Deepseek Coder 1.3B Function Calling V1 is developed by pestova, 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 Deepseek Coder 1.3B Function Calling V1 perform on standard benchmarks?

Deepseek Coder 1.3B Function Calling V1 has the following published scores: MMLU 26.92. Compare against reference models on this page or on the LLM Explorer leaderboards.

Deepseek Coder 1.3B Function Calling V1 by pestova — VRAM 2.7GB, 16K context

Name: Deepseek Coder 1.3B Function Calling V1
Author: pestova

Deepseek Coder 1.3B Function Calling V1 is an open-source language model by pestova. Features: 1.3b LLM, VRAM: 2.7GB, Context: 16K, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.15, Arc: 26.3, HellaSwag: 39.3, MMLU: 26.9, GSM8K: 3.4.

Codegen Conversational Endpoints compatible F16 Ggml Gguf Instruct Llama Pytorch Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/pestova/deepseek-coder-1.3b-function-calling-v1

Deepseek Coder 1.3B Function Calling V1 Parameters and Internals

LLM Name	Deepseek Coder 1.3B Function Calling V1
Repository 🤗	https://huggingface.co/pestova/deepseek-coder-1.3b-function-calling-v1
Base Model(s)	AIGym/deepseek-coder-1.3b-chat-and-function-calling AIGym/deepseek-coder-1.3b-chat-and-function-calling
Model Size	1.3b
Required VRAM	2.7 GB
Updated	2026-07-26
Maintainer	pestova
Model Type	llama
Instruction-Based	Yes
Model Files	2.7 GB 2.7 GB
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	ggml\|gguf
Generates Code	Yes
Model Architecture	LlamaForCausalLM
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 Deepseek Coder 1.3B Function Calling V1 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 Deepseek Coder 1.3B Function Calling V1

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 1.3B Instruct	16K / 2.7 GB	92255	176
Speechless Coder Ds 1.3B	16K / 2.7 GB	180	0
...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

Note: green Score (e.g. "73.2") means that the model is better than pestova/deepseek-coder-1.3b-function-calling-v1.