---
license: other
tags:
- generated_from_trainer
- axolotl
- llama-cpp
- gguf-my-repo
- LMEngine
base_model: meta-llama/Meta-Llama-3-8B
datasets:
- cognitivecomputations/Dolphin-2.9
- teknium/OpenHermes-2.5
- m-a-p/CodeFeedback-Filtered-Instruction
- cognitivecomputations/dolphin-coder
- cognitivecomputations/samantha-data
- microsoft/orca-math-word-problems-200k
- Locutusque/function-calling-chatml
- internlm/Agent-FLAN
model-index:
- name: out
  results: []
---

# tinybiggames/dolphin-2.9.1-llama-3-8b-Q4_K_M-GGUF
This model was converted to GGUF format from [`cognitivecomputations/dolphin-2.9.1-llama-3-8b`](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-llama-3-8b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-llama-3-8b) for more details on the model.
## Use with tinyBigGAMES's [Inference](https://github.com/tinyBigGAMES) Libraries.


How to configure LMEngine:

```Delphi
InitConfig(
 'C:/LLM/gguf', // path to model files
 -1             // number of GPU layer, -1 to use all available layers
);
```

How to define model:

```Delphi
DefineModel('dolphin-2.9.1-llama-3-8b.Q4_K_M.gguf',
  'dolphin-2.9.1-llama-3-8b.Q4_K_M', 8000,
  '<|im_start|>{role}\n{content}<|im_end|>\n',
  '<|im_start|>assistant');
```

How to add a message:

```Delphi
AddMessage(
  ROLE_USER,    // role
 'What is AI?'  // content
);
```

`{role}` - will be substituted with the message "role"  
`{content}` - will be substituted with the message "content"

How to do inference:

```Delphi
var
  LTokenOutputSpeed: Single;
  LInputTokens: Int32;
  LOutputTokens: Int32;
  LTotalTokens: Int32;
  
if RunInference('dolphin-2.9.1-llama-3-8b.Q4_K_M', 1024) then
  begin
    GetInferenceStats(nil, @LTokenOutputSpeed, @LInputTokens, @LOutputTokens,
      @LTotalTokens);
    PrintLn('', FG_WHITE);
    PrintLn('Tokens :: Input: %d, Output: %d, Total: %d, Speed: %3.1f t/s',
      FG_BRIGHTYELLOW, LInputTokens, LOutputTokens, LTotalTokens, LTokenOutputSpeed);
  end
else
  begin
    PrintLn('', FG_WHITE);
    PrintLn('Error: %s', FG_RED, GetError());
  end;
```