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.
- Libraries
- llama-cpp-python
How to use tda45/TdAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tda45/TdAI", filename="llama.cpp/models/ggml-vocab-aquila.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- 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
| using json = nlohmann::ordered_json; | |
| std::string trim_whitespace(const std::string & str) { | |
| size_t start = 0; | |
| while (start < str.length() && std::isspace(static_cast<unsigned char>(str[start]))) { | |
| start++; | |
| } | |
| if (start == str.length()) { | |
| return ""; | |
| } | |
| size_t end = str.length() - 1; | |
| while (end > start && std::isspace(static_cast<unsigned char>(str[end]))) { | |
| end--; | |
| } | |
| return str.substr(start, end - start + 1); | |
| } | |
| std::string trim_leading_whitespace(const std::string & str) { | |
| size_t start = 0; | |
| while (start < str.length() && std::isspace(static_cast<unsigned char>(str[start]))) { | |
| start++; | |
| } | |
| return str.substr(start); | |
| } | |
| std::string trim_trailing_whitespace(const std::string & str) { | |
| if (str.empty()) { | |
| return ""; | |
| } | |
| size_t end = str.length() - 1; | |
| while (end > 0 && std::isspace(static_cast<unsigned char>(str[end]))) { | |
| end--; | |
| } | |
| // If first char is also whitespace, return empty string | |
| if (end == 0 && std::isspace(static_cast<unsigned char>(str[0]))) { | |
| return ""; | |
| } | |
| return str.substr(0, end + 1); | |
| } | |
| std::string trim_trailing_newlines(const std::string & str) { | |
| size_t end = str.length(); | |
| while (end > 0 && str[end - 1] == '\n') { | |
| end--; | |
| } | |
| return str.substr(0, end); | |
| } | |
| static size_t common_prefix_len(const std::string & left, const std::string & right) { | |
| size_t prefix_len = 0; | |
| size_t min_len = std::min(left.length(), right.length()); | |
| while (prefix_len < min_len && left[prefix_len] == right[prefix_len]) { | |
| prefix_len++; | |
| } | |
| return prefix_len; | |
| } | |
| static size_t common_suffix_len(const std::string & left, const std::string & right) { | |
| size_t suffix_len = 0; | |
| size_t min_len = std::min(left.length(), right.length()); | |
| while (suffix_len < min_len && left[left.length() - 1 - suffix_len] == right[right.length() - 1 - suffix_len]) { | |
| suffix_len++; | |
| } | |
| return suffix_len; | |
| } | |
| diff_split calculate_diff_split(const std::string & left, const std::string & right) { | |
| diff_split result; | |
| auto left_seg = segmentize_markers(left); | |
| auto right_seg = segmentize_markers(right); | |
| if (left_seg.empty()) { | |
| result.right = right; | |
| return result; | |
| } | |
| if (right_seg.empty()) { | |
| result.left = left; | |
| return result; | |
| } | |
| auto left_start = left_seg.begin(); | |
| auto left_end = --left_seg.end(); | |
| auto right_start = right_seg.begin(); | |
| auto right_end = --right_seg.end(); | |
| auto test = [&] () { | |
| return left_start != left_end && right_start != right_end; | |
| }; | |
| bool left_fully_consumed = false; | |
| bool right_fully_consumed = false; | |
| while (test()) { | |
| bool advanced = false; | |
| if (*left_start == *right_start) { | |
| result.prefix.append(left_start->value); | |
| left_start++; | |
| right_start++; | |
| advanced = true; | |
| } | |
| if (*left_end == *right_end) { | |
| result.suffix = left_end->value + result.suffix; | |
| if (left_start != left_end) { | |
| left_end--; | |
| } else { | |
| left_fully_consumed = true; | |
| } | |
| if (right_start != right_end) { | |
| right_end--; | |
| } else { | |
| right_fully_consumed = true; | |
| } | |
| advanced = true; | |
| } | |
| if (!advanced) { | |
| break; | |
| } | |
| } | |
| if (left_start == left_end && right_start != right_end) { | |
| if (*left_start == *right_end) { | |
| result.suffix = right_end->value + result.suffix; | |
| right_end--; | |
| left_fully_consumed = true; | |
| } else if (*left_start == *right_start) { | |
| result.prefix.append(right_start->value); | |
| right_start++; | |
| left_fully_consumed = true; | |
| } | |
| } else if (right_start == right_end && left_start != left_end) { | |
| if (*left_end == *right_start) { | |
| result.suffix = left_end->value + result.suffix; | |
| left_end--; | |
| right_fully_consumed = true; | |
| } else if (*left_start == *right_start) { | |
| result.prefix.append(left_start->value); | |
| left_start++; | |
| right_fully_consumed = true; | |
| } | |
| } else if (left_start == left_end && right_start == right_end && *left_start == *right_start && left_start->type == segment_type::MARKER) { | |
| result.prefix.append(right_start->value); | |
| left_fully_consumed = true; | |
| right_fully_consumed = true; | |
| } | |
| auto eat_segment = [](std::string str, const segment & seg) -> std::string { return std::move(str) + seg.value; }; | |
| bool can_have_text_suffix = left_end->type == segment_type::TEXT && right_end->type == segment_type::TEXT; | |
| bool can_have_text_prefix = right_start->type == segment_type::TEXT && left_start->type == segment_type::TEXT; | |
| std::string remainder_left = std::accumulate(left_start, left_fully_consumed ? left_end : ++left_end, std::string(), eat_segment); | |
| std::string remainder_right = std::accumulate(right_start, right_fully_consumed ? right_end : ++right_end, std::string(), eat_segment); | |
| size_t suffix_len = can_have_text_suffix ? common_suffix_len(remainder_left, remainder_right) : 0; | |
| // avoid overlaps between prefix and suffix | |
| size_t prefix_len = can_have_text_prefix ? common_prefix_len(remainder_left.substr(0, remainder_left.size() - suffix_len), | |
| remainder_right.substr(0, remainder_right.size() - suffix_len)) : 0; | |
| result.prefix.append(remainder_left.substr(0, prefix_len)); | |
| result.suffix = remainder_left.substr(remainder_left.length() - suffix_len, suffix_len) + result.suffix; | |
| result.left = remainder_left.substr(prefix_len, remainder_left.length() - prefix_len - suffix_len); | |
| result.right = remainder_right.substr(prefix_len, remainder_right.length() - prefix_len - suffix_len); | |
| if (result.left == "" && result.right == "") { | |
| // degenerate case, no diff | |
| result.prefix = left; | |
| result.suffix = ""; | |
| // pick prefix = all as representation | |
| } | |
| // When left has no unique content (result.left is empty), left is entirely | |
| // shared with right. The simultaneous prefix/suffix segment matching can | |
| // incorrectly consume trailing segments of left as suffix when those same | |
| // segments also appear at the end of right (e.g. "\n" at the end of both | |
| // the shared content and the generation prompt). This rotates the diff. | |
| // Fix: if left is a prefix of right, enforce that directly. | |
| if (result.left.empty() && !result.right.empty() && | |
| left.size() <= right.size() && | |
| right.substr(0, left.size()) == left) { | |
| result.prefix = left; | |
| result.suffix = ""; | |
| result.right = right.substr(left.size()); | |
| } | |
| return result; | |
| } | |
| // Returns the prefix of `full` up until the first occurrence of the common prefix of `left` and `right` | |
| std::string until_common_prefix(const std::string & full, const std::string & left, const std::string & right) { | |
| // Find the common prefix of left and right | |
| size_t common_prefix_len = 0; | |
| size_t min_len = std::min(left.length(), right.length()); | |
| while (common_prefix_len < min_len && left[common_prefix_len] == right[common_prefix_len]) { | |
| common_prefix_len++; | |
| } | |
| // If there's no common prefix, return empty string | |
| if (common_prefix_len == 0) { | |
| return ""; | |
| } | |
| // Find the common prefix in the full string | |
| std::string common_prefix = left.substr(0, common_prefix_len); | |
| size_t pos = full.find(common_prefix); | |
| // If not found, return empty string | |
| if (pos == std::string::npos) { | |
| return ""; | |
| } | |
| // Return everything before the common prefix | |
| return full.substr(0, pos); | |
| } | |
| // Returns the suffix of `full` after the last occurrence of the common suffix of `left` and `right` | |
| std::string after_common_suffix(const std::string & full, const std::string & left, const std::string & right) { | |
| // Find the common suffix of left and right (compare from the end) | |
| size_t common_suffix_len = 0; | |
| size_t min_len = std::min(left.length(), right.length()); | |
| while (common_suffix_len < min_len && | |
| left[left.length() - 1 - common_suffix_len] == right[right.length() - 1 - common_suffix_len]) { | |
| common_suffix_len++; | |
| } | |
| // If there's no common suffix, return empty string | |
| if (common_suffix_len == 0) { | |
| return ""; | |
| } | |
| // Extract the common suffix | |
| std::string common_suffix = left.substr(left.length() - common_suffix_len); | |
| // Find the last occurrence of the common suffix in the full string | |
| size_t pos = full.rfind(common_suffix); | |
| // If not found, return empty string | |
| if (pos == std::string::npos) { | |
| return ""; | |
| } | |
| // Return everything after the common suffix | |
| return full.substr(pos + common_suffix_len); | |
| } | |
| // TODO: segmentize will treat a JSON array inside tags as a tag: <calls>[{ "fun": { ... } }]</calls> will be three markers | |
| // not too worried about that because it hasn't turned out as a problem anywhere, but noting here in case it will | |
| // Might have to put some restrictions on tag contents as well (like "no { }") | |
| std::vector<segment> segmentize_markers(const std::string & text) { | |
| std::vector<segment> retval; | |
| bool in_marker = false; | |
| char marker_opener = '\0'; | |
| auto is_marker_opener = [](char c) -> bool { return c == '<' || c == '['; }; | |
| auto is_marker_closer = [](char op, char c) -> bool { return (op == '<' && c == '>') || (op == '[' && c == ']'); }; | |
| size_t last_border = 0; | |
| for (size_t cur_pos = 0; cur_pos < text.length(); cur_pos++) { | |
| if (!in_marker && is_marker_opener(text[cur_pos])) { | |
| if (last_border < cur_pos) { | |
| retval.push_back(segment(segment_type::TEXT, text.substr(last_border, cur_pos - last_border))); | |
| } | |
| last_border = cur_pos; | |
| in_marker = true; | |
| marker_opener = text[cur_pos]; | |
| } else if (in_marker && is_marker_closer(marker_opener, text[cur_pos])) { | |
| // no need to check because last_border will always be smaller | |
| retval.push_back(segment(segment_type::MARKER, text.substr(last_border, cur_pos - last_border + 1))); | |
| last_border = cur_pos + 1; | |
| in_marker = false; | |
| marker_opener = '\0'; | |
| } | |
| } | |
| if (last_border < text.length()) { | |
| retval.push_back(segment(segment_type::TEXT, text.substr(last_border))); | |
| } | |
| return retval; | |
| } | |
| std::vector<segment> prune_whitespace_segments(const std::vector<segment> & segments) { | |
| std::vector<segment> result; | |
| for (const auto & seg : segments) { | |
| if (!trim_whitespace(seg.value).empty()) { | |
| result.push_back(seg); | |
| } | |
| } | |
| return result; | |
| } | |
| namespace autoparser { | |
| static const std::string ERR_TMPL = "#**ERROR**#"; | |
| std::string apply_template(const common_chat_template & tmpl, const template_params & params) { | |
| generation_params tmpl_params; | |
| tmpl_params.messages = params.messages; | |
| tmpl_params.tools = params.tools; | |
| tmpl_params.add_generation_prompt = params.add_generation_prompt; | |
| tmpl_params.enable_thinking = params.enable_thinking; | |
| if (params.extra_context) { | |
| tmpl_params.extra_context = *params.extra_context; | |
| } | |
| tmpl_params.extra_context["enable_thinking"] = params.enable_thinking; | |
| try { | |
| return common_chat_template_direct_apply(tmpl, tmpl_params); | |
| } catch (const std::exception & e) { | |
| LOG_DBG("Template application failed: %s\n", e.what()); | |
| return ERR_TMPL; | |
| } | |
| } | |
| std::optional<compare_variants_result> compare_variants( | |
| const common_chat_template & tmpl, | |
| const template_params & params_A, | |
| const std::function<void(template_params &)> & params_modifier) { | |
| // Create variant B by copying A | |
| template_params params_B = params_A; | |
| // Apply modifier to create variant B | |
| if (params_modifier) { | |
| params_modifier(params_B); | |
| } | |
| // Apply template to both variants | |
| std::string output_A = apply_template(tmpl, params_A); | |
| std::string output_B = apply_template(tmpl, params_B); | |
| // Check for template application failures | |
| if (output_A == ERR_TMPL || output_B == ERR_TMPL) { | |
| return std::nullopt; | |
| } | |
| // Calculate diff and return result with both outputs | |
| compare_variants_result result; | |
| result.diff = calculate_diff_split(output_A, output_B); | |
| result.output_A = output_A; | |
| result.output_B = output_B; | |
| return result; | |
| } | |
| } // namespace autoparser | |