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Tesleum/Shirdel-Finance-E4B
Shirdel-Finance-E4B is a reinforcement learning model from Tesleum. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. The card lists the license as ecl-2.0.
Shirdel-Finance-E4B is a finance-specialized language model built on Google Gemma-4 E4B and optimized for local inference, financial reasoning, cryptocurrency discussions, market analysis, and structured financial con…
Downloads · 30 days
333
15% of all-time downloads
All-time downloads
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.gguf6.2 GB · 100%
From the Hugging Face model README
Shirdel-Finance-E4B is a finance-specialized language model built on Google Gemma-4 E4B and optimized for local inference, financial reasoning, cryptocurrency discussions, market analysis, and structured financial conversations.
The model is designed to provide strong performance across finance-related tasks while maintaining efficient execution on consumer hardware and mobile devices.
This release is distributed in GGUF format for compatibility with local inference ecosystems including llama.cpp, Ollama, LM Studio, Jan, and Open WebUI.
Base model: Google Gemma-4 E4B
Fine-tuned model: Shirdel-Finance-E4B
Architecture: Gemma-4
Format: GGUF
Context window: 131072 tokens
Domain: Finance / Cryptocurrency / Trading
Intended use:
Quantization recommendations:
| Quant | Recommended usage |
|---|---|
| Q2_K | Very low memory devices |
| Q3_K_M | Mobile devices |
| Q4_K_M | Balanced quality and speed |
| Q5_K_M | Higher quality |
| Q6_K | Strong quality-performance balance |
| Q8_0 | Maximum quality |
from llama_cpp import Llama
llm = Llama.from_pretrained(
repo_id="Tesleum/Shirdel-Finance-E4B",
filename="Shirdel-Finance-E4B.Q4_K_M.gguf"
)
response = llm.create_chat_completion(
messages=[
{
"role":"user",
"content":"Explain Bitcoin halving."
}
]
)
print(response)
curl -LsSf https://llama.cpp/install.sh | sh
llama-cli -hf Tesleum/Shirdel-Finance-E4B:Q4_K_M
llama-server -hf Tesleum/Shirdel-Finance-E4B:Q4_K_M
Run directly:
ollama run hf.co/Tesleum/Shirdel-Finance-E4B:Q4_K_M
Or create manually:
FROM ./Shirdel-Finance-E4B.Q4_K_M.gguf
TEMPLATE """{{ .Prompt }}"""
PARAMETER temperature 0.7
PARAMETER top_p 0.95
PARAMETER num_ctx 131072
Then:
ollama create shirdel-finance -f Modelfile
ollama run shirdel-finance
Fine-tuned using finance-oriented instruction datasets and domain-specific conversational examples designed to improve:
Please follow the original Google Gemma license and applicable downstream usage restrictions.
Tesleum