RedHatAI / text-generation updated 2 years ago

DeepSeek-Coder-V2-Lite-Instruct-FP8

Name: DeepSeek-Coder-V2-Lite-Instruct-FP8
Author: RedHatAI

- Model Architecture: DeepSeek-Coder-V2-Lite-Instruct - Input: Text - Output: Text - Model Optimizations: - Weight quantization: FP8 - Activation quantization: FP8 - Intended Use Cases: Intended for commercial and research use in English. Similarly to Meta-Llama-3-7B-Instruct, this models is intended for assistant-like chat. - Out-of-scope: Use in any manner that violates applicable laws or regulations (including tra...

Params

15.7 B

Context

163,840

Downloads 30d

204 K

Likes

Licence: other Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

204 K195 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f8_e4m3	16.1 GB	20.6 GB	⚠️ Tight — reduce context
model.safetensors (bf16, full)	bf16 + 160K ctx	16.1 GB	65.4 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/deepseek-coder-v2-lite-instruct-fp8
{
  "hf_id": "RedHatAI/DeepSeek-Coder-V2-Lite-Instruct-FP8",
  "params_b": 15.71,
  "context_length": 163840,
  "license": { "id": "other", "commercial": "unknown" },
  "downloads_30d": 203893,
  "vram_estimates": [
    { "quant": "f8_e4m3", "gb": 20.6 }
  ],
  "updated_at": "2026-07-28T18:08:06Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: DeepseekV2ForCausalLM
Parameters: 15.7 B
Tensor type: F8_E4M3
Context length: 163,840
Vocabulary: 102,400
Layers / heads: 27 / 16
Licence: other
First seen on the Hub: 2024-07-17
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

Qwen3-8B 16.3 M Qwen2.5-7B-Instruct 12.1 M Qwen3.6-35B-A3B-NVFP4 11.3 M gpt-oss-20b 8.6 M Qwen3-32B 8.3 M Llama-3.1-8B-Instruct 8.0 M

Appears in

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