Model reference · open weights
DeepSeek-0324 is an open-weight language model from deepseek-ai, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
DeepSeek-V3-0324 Features DeepSeek-V3-0324 demonstrates notable improvements over its predecessor, DeepSeek-V3, in several key aspects. Reasoning Capabilities - Significant improvements in benchmark performance: - MMLU-Pro: 75.9 → 81.2 (+5.3) - GPQA: 59.1 → 68.4 (+9.3) - AIME: 39.6 → 59.4 (+19.8) - LiveCodeBench: 39.2 → 49.2 (+10.0) Front-End Web Development - Improved the executability of the code - More aesthetically pleasing web pages and game front-ends Chinese Writing Proficiency - Enhanced style and content quality: - Aligned with the R1 writing style - Better quality in medium-to-long-form writing - Feature Enhancements - Improved multi-turn interactive rewriting - Optimized translation quality and letter writing Chinese Search Capabilities - Enhanced report analysis requests with more detailed outputs Function Calling Improvements - Increased accuracy in Function Calling, fixing issues from previous V3 versions Usage Recommendations System Prompt In the official DeepSeek web/app, we use the same system prompt with a specific date. For example, Temperature In our web and application environments, the temperature parameter $T{model}$ is set to 0.3. Because many users use the default temperature 1.0 in API call, we have implemented an API temperature $T{api}$ mapping mechanism that adjusts the input API temperature value of 1.0 to the most suitable model temperature setting of 0.3. $$ T{model} = T{api} \times 0.3 \quad (0 \leq T{api} \leq 1) $$ $$ T{model} = T{api} - 0.7 \quad (1 < T{api} \leq 2) $$ Thus, if you call V3 via API, temperature 1.0 equals to the model temperature 0.3. Prompts for File Uploading and Web Search For file uploading, please follow the template to create prompts, where {filename}, {filecontent} and {question} are arguments. For Web Search, {searchresults}, {curdate}, and {question} are arguments. For Chinese query, we use the prompt: For English query, we use the prompt: How to Run Locally The model structure of DeepSeek-V3-0324 is exactly the same as DeepSeek-V3. Please visit DeepSeek-V3 repo for more information about running this model locally. This model supports features such as function calling, JSON output, and FIM completion.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | deepseek-ai |
|---|---|
| Type | Language models |
| Parameters (lead) | 684.5B |
| Context | 160k tokens |
| Variants | 1 |
| Runs with | transformers |
| Released | 2025-03-24 |
| Popularity | 1.1M downloads / month |
| Likes | 3,165 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| DeepSeek-V3-0324 | 684.5B | BF16 | ~1574.4 GB | — | Weights ↗ |
Using it via the API
Once AxForge deploys deepseek-0324 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (deepseek-0324 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepseek-0324","messages":[{"role":"user","content":"Hello"}]}'
Licence
Open weights under mit — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗