Safetensors
GGUF
Turkish
llama
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
Instructions to use tda45/TdAI 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 tda45/TdAI 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 tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./llama-cli -hf tda45/TdAI
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./build/bin/llama-cli -hf tda45/TdAI
Use Docker
docker model run hf.co/tda45/TdAI
- LM Studio
- Jan
- Ollama
How to use tda45/TdAI with Ollama:
ollama run hf.co/tda45/TdAI
- Unsloth Studio
How to use tda45/TdAI with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tda45/TdAI to start chatting
- Atomic Chat new
- Docker Model Runner
How to use tda45/TdAI with Docker Model Runner:
docker model run hf.co/tda45/TdAI
- Lemonade
How to use tda45/TdAI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tda45/TdAI
Run and chat with the model
lemonade run user.TdAI-{{QUANT_TAG}}List all available models
lemonade list
File size: 2,556 Bytes
8efb28e | 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(), common_http_format_host(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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