rscr/llama3_70b

rscr/ llama3_70b_ru

23 Downloads Updated 1 year ago

Llama3-70B-EnSecAI-Ru-Chat

tools

ollama run rscr/llama3_70b_ru

curl http://localhost:11434/api/chat \
  -d '{
    "model": "rscr/llama3_70b_ru",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='rscr/llama3_70b_ru',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'rscr/llama3_70b_ru',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Applications

Claude Code ollama launch claude --model rscr/llama3_70b_ru

Codex ollama launch codex --model rscr/llama3_70b_ru

OpenCode ollama launch opencode --model rscr/llama3_70b_ru

OpenClaw ollama launch openclaw --model rscr/llama3_70b_ru

Models

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Name

3 models

Size

Context

Input

llama3_70b_ru:latest

141GB · 8K context window · Text · 1 year ago

llama3_70b_ru:latest

141GB

Text

llama3_70b_ru:Q4_K_M

43GB · 8K context window · Text · 1 year ago

llama3_70b_ru:Q4_K_M

43GB

Text

llama3_70b_ru:i1-Q4_K_M

43GB · 8K context window · Text · 1 year ago

llama3_70b_ru:i1-Q4_K_M

43GB

Text

Readme

Fp16 (latest): HF i1-Q4_K_M: HF Q4_K_M: Quantized using Ollama

SOTA Russian model on MERA benchmark

Generation parameters: -temperature=0.6 -top_p=0.9