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
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 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/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 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
- 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: 5,612 Bytes
db65755 | 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 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 | #include "jinja/string.h"
#include "jinja/value.h"
#include <algorithm>
#include <functional>
#include <optional>
#include <sstream>
#include <string>
#include <vector>
namespace jinja {
//
// string_part
//
bool string_part::is_uppercase() const {
for (char c : val) {
if (std::islower(static_cast<unsigned char>(c))) {
return false;
}
}
return true;
}
bool string_part::is_lowercase() const {
for (char c : val) {
if (std::isupper(static_cast<unsigned char>(c))) {
return false;
}
}
return true;
}
//
// string
//
void string::mark_input() {
for (auto & part : parts) {
part.is_input = true;
}
}
std::string string::str() const {
if (parts.size() == 1) {
return parts[0].val;
}
std::ostringstream oss;
for (const auto & part : parts) {
oss << part.val;
}
return oss.str();
}
size_t string::length() const {
size_t len = 0;
for (const auto & part : parts) {
len += part.val.length();
}
return len;
}
void string::hash_update(hasher & hash) const noexcept {
for (const auto & part : parts) {
hash.update(part.val.data(), part.val.length());
}
}
bool string::all_parts_are_input() const {
for (const auto & part : parts) {
if (!part.is_input) {
return false;
}
}
return true;
}
bool string::is_uppercase() const {
for (const auto & part : parts) {
if (!part.is_uppercase()) {
return false;
}
}
return true;
}
bool string::is_lowercase() const {
for (const auto & part : parts) {
if (!part.is_lowercase()) {
return false;
}
}
return true;
}
// mark this string as input if other has ALL parts as input
void string::mark_input_based_on(const string & other) {
if (other.all_parts_are_input()) {
for (auto & part : parts) {
part.is_input = true;
}
}
}
string string::append(const string & other) {
for (const auto & part : other.parts) {
parts.push_back(part);
}
return *this;
}
// in-place transformation
using transform_fn = std::function<std::string(const std::string&)>;
static string apply_transform(string & self, const transform_fn & fn) {
for (auto & part : self.parts) {
part.val = fn(part.val);
}
return self;
}
string string::uppercase() {
return apply_transform(*this, [](const std::string & s) {
std::string res = s;
std::transform(res.begin(), res.end(), res.begin(), ::toupper);
return res;
});
}
string string::lowercase() {
return apply_transform(*this, [](const std::string & s) {
std::string res = s;
std::transform(res.begin(), res.end(), res.begin(), ::tolower);
return res;
});
}
string string::capitalize() {
return apply_transform(*this, [](const std::string & s) {
if (s.empty()) return s;
std::string res = s;
res[0] = ::toupper(static_cast<unsigned char>(res[0]));
std::transform(res.begin() + 1, res.end(), res.begin() + 1, ::tolower);
return res;
});
}
string string::titlecase() {
return apply_transform(*this, [](const std::string & s) {
std::string res = s;
bool capitalize_next = true;
for (char &c : res) {
if (isspace(static_cast<unsigned char>(c))) {
capitalize_next = true;
} else if (capitalize_next) {
c = ::toupper(static_cast<unsigned char>(c));
capitalize_next = false;
} else {
c = ::tolower(static_cast<unsigned char>(c));
}
}
return res;
});
}
string string::strip(bool left, bool right, std::optional<const std::string_view> chars) {
static auto strip_part = [](const std::string & s, bool left, bool right, std::optional<const std::string_view> chars) -> std::string {
size_t start = 0;
size_t end = s.length();
auto match_char = [&chars](unsigned char c) -> bool {
return chars ? (*chars).find(c) != std::string::npos : isspace(c);
};
if (left) {
while (start < end && match_char(static_cast<unsigned char>(s[start]))) {
++start;
}
}
if (right) {
while (end > start && match_char(static_cast<unsigned char>(s[end - 1]))) {
--end;
}
}
return s.substr(start, end - start);
};
if (parts.empty()) {
return *this;
}
if (left) {
for (size_t i = 0; i < parts.size(); ++i) {
parts[i].val = strip_part(parts[i].val, true, false, chars);
if (parts[i].val.empty()) {
// remove empty part
parts.erase(parts.begin() + i);
--i;
continue;
} else {
break;
}
}
}
if (right) {
for (size_t i = parts.size(); i-- > 0;) {
parts[i].val = strip_part(parts[i].val, false, true, chars);
if (parts[i].val.empty()) {
// remove empty part
parts.erase(parts.begin() + i);
continue;
} else {
break;
}
}
}
return *this;
}
} // namespace jinja
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