Llama 3 Lumimaid 70B V0.1
We also added some non-RP dataset, making the model less dumb overall. It should look like a 40%/60% ratio for Non-RP/RP+ERP data.
- Tool Use
# Paste into Claude Code, Cursor, or Codex
Help me set up the Respan gateway: fetch and follow https:/
- Context window
- 8K tokens
- Input from
- $3.50/M
- Output from
- $8.30/M
- Providers
- 1
- Released
- Apr 30, 2024
Providers
One provider serves this model through the Respan gateway. Copy a model ID to call that route directly.
| Provider | Input | Output |
|---|---|---|
Featherless featherless_ai/NeverSleep/Llama-3-Lumimaid-70B-v0.1 | $3.50/M | $8.30/M |
Pricing
USD per 1M tokens on Featherless, after gateway discounts.
- Input
- $3.50/M
- Output
- $8.30/M
- Cache read
- $1.00/M
- Cache write
- $0.00/M
Cost by volume
Total cost from 0 to 1T tokens.
Throughput and latency
30-day averages per provider from requests through the Respan gateway, best first.
Output speed
Higher is better9tokens/son Featherless
- Featherless9 tok/s
Response latency
Lower is better12son Featherless
- Featherless12 s
Apps
Use Llama 3 Lumimaid 70B V0.1 in the tools you already run. Each guide points the app at the Respan gateway, then you pick this model.
Claude CodeAnthropic's coding agent for the terminal
OpenCodeOpen-source terminal coding agent
Kilo CodeOpen-source coding agent for your editor
PiMinimal terminal coding agent
Codex CLIOpenAI's coding agent for the terminal
CursorAI code editor
LangChainFramework for LLM apps and agents
LlamaIndexAgents and RAG over your data
CrewAITeams of collaborating agents
Pydantic AIType-safe Python agent framework
Vercel AI SDKTypeScript toolkit for AI apps
Anthropic SDKAnthropic's client for Python and TS
Google Gen AIGoogle's SDK for Gemini models
LiteLLMOne Python interface for every provider
InstructorStructured outputs from LLMs
Setup guides for more apps are in the integration docs.
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