Model Detail
DeepSeek-Coder-V2-Lite-Instruct
—DeepSeek-Coder-V2-Lite-Instruct is a code generation model released by DeepSeek. The model is registered under the text-generation pipeline tag on Hugging Face.
DeepSeek-Coder-V2-Lite-Instruct is priced at $0/M input tokens and $0/M output tokens. Operationally the model offers a 33K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.
DeepSeek-Coder-V2-Lite-Instruct is published on Hugging Face but our pipeline has not yet captured architecture, license, or parameter-count metadata for this entry. The data is refreshed daily, so these fields typically populate within 24–48 hours of release.
DeepSeek-Coder-V2-Lite-Instruct is best fit for code completion, repository-scale Q&A, and pair-programming integrations, and high-volume batch jobs where per-call cost dominates the budget. It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
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DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
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Instruction Finetuning DeepSeek-R1-8B Model Using LoRA and NEFTune
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SoK: A Comprehensive Security Analysis of Jailbreak Resilience in GPT and DeepSeek Models
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Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression
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