Model reference · open weights

deepseek-coder

deepseek-coder 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.

Licence fee required LLMs deepseek-ai 5 variants 822k downloads/mo
Request a licence + hosting quote All served models Not on the shared API today — deployed on request.

About

What deepseek-coder is

1. Introduction of Deepseek-Coder-7B-Instruct v1.5 Deepseek-Coder-7B-Instruct-v1.5 is continue pre-trained from Deepseek-LLM 7B on 2T tokens by employing a window size of 4K and next token prediction objective, and then fine-tuned on 2B tokens of instruction data. - Home Page: DeepSeek - Repository: deepseek-ai/deepseek-coder - Chat With DeepSeek Coder: DeepSeek-Coder 2. Evaluation Results 3. How to Use Here give some examples of how to use our model. Chat Model Inference 4. License This code repository is licensed under the MIT License. The use of DeepSeek Coder models is subject to the Model License. DeepSeek Coder supports commercial use. See the LICENSE-MODEL for more details. 5. Contact If you have any questions, please raise an issue or contact us at service@deepseek.com.

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makerdeepseek-ai
TypeLanguage models
Parameters (lead)6.9B
Context4k tokens
Variants5
Runs withtransformers
Released2024-01-25
Popularity822k downloads / month
Likes700
LicenceCommercial licence needed

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.

Variants

Sizes & precisions

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.

VariantParamsPrecisionVRAMFits 16 GBWeights
deepseek-coder-7b-instruct-v1.56.9BBF16~15.9 GBWeights ↗
deepseek-coder-6.7b-instruct6.7BBF16~15.5 GBWeights ↗
deepseek-coder-1.3b-instruct1.3BBF16~3.1 GBWeights ↗
deepseek-coder-1.3b-baseBF16Weights ↗
DeepSeek-Coder-V2-Instruct235.7BBF16~542.2 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys deepseek-coder for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (deepseek-coder 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-coder","messages":[{"role":"user","content":"Hello"}]}'

Details

Languages, data & research

Tags

transformers safetensors llama text-generation conversational text-generation-inference endpoints_compatible deploy:azure pytorch deepseek_v2 custom_code eval-results

Papers

Licence

Commercial licence needed

The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗

Sources

Weights & code

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