Text Generation
Safetensors
GGUF
English
reasoning
reinforcement-learning
grpo
small-language-model
samsung-ennovatex
conversational
Instructions to use OmnipotentFool/Aurvion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use OmnipotentFool/Aurvion with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: llama cli -hf OmnipotentFool/Aurvion:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: llama cli -hf OmnipotentFool/Aurvion:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf OmnipotentFool/Aurvion:Q4_K_M
Use Docker
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use OmnipotentFool/Aurvion with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OmnipotentFool/Aurvion" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OmnipotentFool/Aurvion", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Ollama
How to use OmnipotentFool/Aurvion with Ollama:
ollama run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use OmnipotentFool/Aurvion with Docker Model Runner:
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Lemonade
How to use OmnipotentFool/Aurvion with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull OmnipotentFool/Aurvion:Q4_K_M
Run and chat with the model
lemonade run user.Aurvion-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 2,614 Bytes
6b9d0d8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | #pragma once
#include "common.h"
#include "http.h"
#include <string>
#include <unordered_set>
#include <list>
#include <map>
#include <algorithm>
#include <cctype>
#include "server-http.h"
static std::string proxy_header_to_lower(std::string header) {
std::transform(header.begin(), header.end(), header.begin(), [](unsigned char c) {
return std::tolower(c);
});
return header;
}
static server_http_res_ptr proxy_request(const server_http_req & req, std::string method) {
std::string target_url = req.get_param("url");
common_http_url parsed_url = common_http_parse_url(target_url);
if (parsed_url.host.empty()) {
throw std::runtime_error("invalid target URL: missing host");
}
if (parsed_url.path.empty()) {
parsed_url.path = "/";
}
if (!parsed_url.password.empty()) {
throw std::runtime_error("authentication in target URL is not supported");
}
if (parsed_url.scheme != "http" && parsed_url.scheme != "https") {
throw std::runtime_error("unsupported URL scheme in target URL: " + parsed_url.scheme);
}
SRV_INF("proxying %s request to %s://%s:%i%s\n", method.c_str(), parsed_url.scheme.c_str(), parsed_url.host.c_str(), parsed_url.port, parsed_url.path.c_str());
std::map<std::string, std::string> headers;
const std::string proxy_header_prefix = "x-llama-server-proxy-header-";
for (auto [key, value] : req.headers) {
const std::string lowered_key = proxy_header_to_lower(key);
if (!string_starts_with(lowered_key, proxy_header_prefix)) {
continue;
}
auto new_key = key.substr(proxy_header_prefix.size());
if (new_key.empty()) {
continue;
}
headers[new_key] = value;
}
auto proxy = std::make_unique<server_http_proxy>(
method,
parsed_url.scheme,
parsed_url.host,
parsed_url.port,
parsed_url.path,
headers,
req.body,
req.files,
req.should_stop,
600, // timeout_read (default to 10 minutes)
600 // timeout_write (default to 10 minutes)
);
return proxy;
}
static server_http_context::handler_t proxy_handler_post = [](const server_http_req & req) -> server_http_res_ptr {
return proxy_request(req, "POST");
};
static server_http_context::handler_t proxy_handler_get = [](const server_http_req & req) -> server_http_res_ptr {
return proxy_request(req, "GET");
};
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