“Claude Code bilkul free, no Anthropic bill, fully offline” — ye post Instagram pe ghoom rahi hai. Aaj iska poora sach: kya sahi hai, kahan log galat info dete hain, aur asli kaam karne wala setup — step by step.
Fardin Alam · Ecom Fardin
~8 min read · Honest review, bina hype
Pehle clear kar du — is post me main tumhe sirf ek “magic command” nahi de raha. Main poora sach de raha hun, kyunki yahi India Mein Sach ka pura matlab hai. Free AI se coding ho sakti hai, par jis tareeke se viral posts ise dikhati hain, usme do badi galatfehmiyan chhupi hoti hain. Pehle wahi todte hain.
Sabse pehle: 2 myth todte hain
Myth 1 “Asli Claude free aur offline chal jaata hai”
Nahi. Anthropic ka asli Claude model (Sonnet, Opus) tumhari machine pe free ya offline nahi chal sakta — uske model weights public hi nahi hain. Jo cheez actually chalti hai wo hai Claude Code — ek terminal tool — jise tum kisi doosre, open-source model (Qwen, GLM, DeepSeek) pe point kar dete ho. Naam “Claude” rehta hai, par dimaag (model) alag hota hai. Ye farak yaad rakhna — baaki sab isi pe tika hai.
Myth 2 “ollama launch claude command toh fake hai”
Kuch logon ne (aur shuru me maine bhi) socha tha ki ye command exist hi nahi karta. Ab ye galat hai. Ollama ne version 0.15 me ollama launch command add kar diya — ye Claude Code (aur OpenCode, Codex) ko apne aap local ya cloud model se jod ke chalata hai, bina kisi config file ya environment variable ke. Agar purane Ollama pe “unknown command launch” error aaye, to bas Ollama update karo — chal jaayega.
Asli Sach 👇 Tum Claude Code chala rahe ho, par uske peeche ek free open-source model hota hai — Claude ka model nahi. Ye genuinely kaam karta hai, par iske trade-offs hain. Wahi aage samajhte hain.
“Free + Offline + Smart” — teeno ek saath nahi milte
Ye sabse bada point hai jo koi viral post nahi batati. Tumhe in teen me se sirf do mil sakte hain — teeno ek saath nahi:
FREE + OFFLINE
Local model
Qwen / DeepSeek / GLM tumhari machine pe. ₹0, code kahin nahi jaata. Par: achha model chalane ke liye 16–32GB+ RAM / GPU chahiye, aur Claude se kamzor hota hai.
FREE + SMART
Cloud model
Ollama ke cloud models (free tier). Tej aur powerful. Par: ye offline nahi hai — tumhara code server pe jaata hai. “Privacy” wala faayda yahan khatam.
SMART + RELIABLE
Asli Claude
Anthropic ka original model. Sabse strong, sabse consistent for client work. Par: ye paid hai — free/offline nahi.
To jab koi bole “frontier-quality Claude, free, offline, ₹0” — wo trilemma ko chhupa raha hai. Sach ye hai: free + offline chahiye to thoda kamzor model aur achha hardware chahiye; free + smart chahiye to offline/privacy chhodni padegi.
Ab poora setup — step by step
Yahan main local (free + offline) route de raha hun, jo zyadatar logon ke liye sahi hai. Cloud option bhi neeche table me hai.
Hardware reality check
“Free” ka matlab “bina laptop ke” nahi hota. Theek-thaak experience ke liye 16GB RAM minimum, aur acche model ke liye 32GB RAM ya ek GPU behtar. Kam RAM pe chhota model chalega par dheere aur kamzor. Ye baat saamne rakho.
1. Ollama install karo (v0.15+)
Ollama wo engine hai jo models download karke chalata hai. Latest version zaroori hai (purane me launch nahi hota).
mac / linux# Linuxcurl -fsSL https://ollama.com/install.sh | sh # Mac / Windows: ollama.com se installer download karo
Install ke baad check karo: ollama -v — version 0.15 ya upar hona chahiye.
2. Apna model download (pull) karo
Coding ke liye “coder” models best hain. Apni RAM ke hisaab se chuno (Q4 quantization = default, ~95% quality):
| Model | Size | Chahiye |
|---|---|---|
| qwen2.5-coder:7bsolid all-round coder | ~5GB | 16GB RAM |
| deepseek-coderreasoning + coding | ~5GB | 16GB RAM |
| qwen2.5-coder:14bbehtar quality | ~9GB | 16GB+ RAM |
| qwen2.5-coder:32bpower tasks, GPT-4o ke kareeb | ~20GB | 32GB RAM |
| qwen3-coder:30bagentic, 256k context | ~19GB | 24GB GPU |
terminal# apni RAM ke hisaab se ek chunoollama pull qwen2.5-coder:7b
Hint: hamesha size tag (:7b, :14b) lagao — bina tag wala default badal sakta hai.
3. Context window 64k+ set karo (ye step log skip karte hain)
Coding tools ko bada context chahiye, par Ollama ka default chhota hota hai. Ollama ki settings me context length 64,000 tokens ya zyada kar do — warna model aadha code “bhool” jaata hai aur ghatiya jawab deta hai. Ye ek choti si setting poore experience ko sambhaal leti hai.
4. Claude Code install karo
Ye wo tool hai jo tumhari files padhega, likhega aur commands chalayega.
mac / linuxcurl -fsSL https://claude.ai/install.sh | bash
windows (powershell)irmhttps://claude.ai/install.ps1 | iex
5. Local model pe launch karo
Ab asli command — jo sach me kaam karti hai. Ye Ollama ko Claude Code se khud jod deti hai:
terminal# menu khulega — arrow key se model chunoollama launch claude # ya seedha model bata doollama launch claude –model qwen2.5-coder:7b
Claude Code current folder ka access maangega — Yes dabao. Bas, ab tum Claude Code apni machine ke free model pe chala rahe ho.
6. Confirm karo — kaun sa model chal raha hai
Claude Code ke andar type karo /model. Agar tumhara local model (jaise qwen2.5-coder) dikhe, setup complete hai. Ab plain English me bolo: “is folder me ek Python script banao jo…” aur ye kaam kar dega.
Terminal se darr lagta hai? No-code rasta: VS Code me Continue.dev ya Cline extension install karo, “Ollama” ko provider chuno, apna model select karo — bina kisi command ke wahi free local AI editor ke andar mil jaayega. LM Studio bhi ek friendly window deta hai.
Sach ki checklist — gotchas jo koi nahi batata
- Tool calling: Claude Code ko files padhne/likhne ke liye model me “tool use” support chahiye. Purane Ollama ya kuch models pe ye nahi chalta — tab Claude Code sirf ek normal chatbot ki tarah baat karega, files touch nahi karega. Ollama latest rakho.
- Speed: Kamzor laptop pe local model “2+2” ka jawab bhi 30–60 second le sakta hai. GPU ya zyada RAM is dard ko hatata hai.
- Cloud ≠ private: Agar tum –model qwen3.5:cloud jaisa cloud model use karte ho, to wo tej aur free hai, par tumhara code Ollama ke server pe jaata hai — “offline/private” wala faayda nahi rehta.
- Quality: Best open-source coder bhi asli Claude Sonnet/Opus jitna consistent nahi — chhoti scripts me theek, bade complex client projects me farak dikhega.
- “Free” me hardware ka kharcha chhupa hai: ek achha 32GB Mac ya GPU sasta nahi hota. Free = “pehle se hardware hai to extra bill nahi”, na ki bilkul muft.
To phir paisa kab kharch karein?
Honest jawab: local free model seekhne, side-projects, aur privacy-sensitive code ke liye zabardast hai. Lekin jab tum client ka kaam kar rahe ho, bada repo handle kar rahe ho, ya speed aur reliability matter karti hai — tab asli Claude (ya koi paid frontier model) ka subscription paisa-vasool hota hai. Dono ko mila ke use karna sabse smart move hai: roz-marra ke liye local, serious deliverable ke liye paid.
FAQ
Kya isse mujhe “asli Claude” free me mil jaata hai?
Nahi. Tumhe Claude Code (tool) milta hai, jo ek free open-source model (Qwen/DeepSeek/GLM) pe chalta hai. Anthropic ka asli Claude model free/offline nahi chalta.Sabse achha free coding model kaun sa hai?
16GB RAM pe qwen2.5-coder:7b ya deepseek-coder se shuru karo. 32GB ya GPU hai to qwen2.5-coder:32b ya qwen3-coder:30b kaafi powerful hain.Internet ke bina chalega?
Haan — agar tum local model use karo. Ek baar download ke baad poora setup offline chalta hai. Cloud model (:cloud) wale models ke liye internet chahiye.Mera Claude Code files ko padh/likh nahi pa raha, kyun?
Aksar model me tool-calling support na hone se aisa hota hai, ya Ollama purana hai. Ollama update karo aur ek tool-capable coder model (jaise qwen2.5-coder) use karo.Phone pe chal sakta hai?
Practically nahi — achhe coding models ko laptop/PC level RAM chahiye. Phone pe sirf bahut chhote models chalenge jo coding ke liye kaafi kamzor hain.
Author: Fardin Alam (Ecom Fardin) · AI tools, ecommerce aur online earning par honest content. · Last updated: June 2026.