Gliese-Query_Tool-0.6B is a function-calling and query-oriented reasoning model fine-tuned from Qwen3-0.6B using Salesforce/xlam-function-calling-60k, designed for tool orchestration, structured query resolution, and operation chaining across diverse tasks. It excels in dynamic function execution, structured reasoning pipelines, and multi-tool decision workflows, making it a powerful lightweight solution for developers, tooling platforms, and automation systems.
Model Files
File Name
Quant Type
File Size
Gliese-Query_Tool-0.6B.BF16.gguf
BF16
1.2 GB
Gliese-Query_Tool-0.6B.F16.gguf
F16
1.2 GB
Gliese-Query_Tool-0.6B.F32.gguf
F32
2.39 GB
Gliese-Query_Tool-0.6B.Q2_K.gguf
Q2_K
296 MB
Gliese-Query_Tool-0.6B.Q3_K_L.gguf
Q3_K_L
368 MB
Gliese-Query_Tool-0.6B.Q3_K_M.gguf
Q3_K_M
347 MB
Gliese-Query_Tool-0.6B.Q3_K_S.gguf
Q3_K_S
323 MB
Gliese-Query_Tool-0.6B.Q4_0.gguf
Q4_0
382 MB
Gliese-Query_Tool-0.6B.Q4_1.gguf
Q4_1
409 MB
Gliese-Query_Tool-0.6B.Q4_K.gguf
Q4_K
397 MB
Gliese-Query_Tool-0.6B.Q4_K_M.gguf
Q4_K_M
397 MB
Gliese-Query_Tool-0.6B.Q4_K_S.gguf
Q4_K_S
383 MB
Gliese-Query_Tool-0.6B.Q5_0.gguf
Q5_0
437 MB
Gliese-Query_Tool-0.6B.Q5_1.gguf
Q5_1
464 MB
Gliese-Query_Tool-0.6B.Q5_K.gguf
Q5_K
444 MB
Gliese-Query_Tool-0.6B.Q5_K_M.gguf
Q5_K_M
444 MB
Gliese-Query_Tool-0.6B.Q5_K_S.gguf
Q5_K_S
437 MB
Gliese-Query_Tool-0.6B.Q6_K.gguf
Q6_K
495 MB
Gliese-Query_Tool-0.6B.Q8_0.gguf
Q8_0
639 MB
sample inference.
Solve 2**2
[{"name":"power","description":"Calculates the power of a number with a specified exponent.","parameters":{"number":{"description":"The base for which the power is calculated.","type":"int"},"exponent":{"description":"The exponent to which the number should be raised.","type":"int"}}}]
solve for 'x' in the equation 2x + 5 = 11?
[{"name":"solving_equation","description":"Solves a linear equation for a variable.","parameters":{"equation":{"description":"The equation to solve. The format is 'a*x + b = c'.Forexample,'5x + 2 = 10'or'3x - 7 = 1'.", "type": "str"}, "operation": {"description": "Theoperation(add,sub,etc.)toperformthesolving.","type":"str, optional"},"variable":{"description":"The variable to solve for. Defaults to 'x' if not provided.","default":"x"}}}]
What is the volume of a sphere with a radius of 6 cm?
[{"name":"volume_of_sphere","description":"Calculates the volume of a sphere given its radius using the formula (4/3)πr³.","parameters":{"radius":{"description":"The radius of the sphere.","type":"int"}}}]
In an examination 80% of the candidates passed in Urdu and 85% in Hindi, while 75% passed in both . If 45 candidates failed in both. Then the total number of candidates was ?
[{"name":"passing_percentage","description":"Calculates the passing percentage for an exam given the percentage of students who passed each subject, and the intersection percentage of passing subjects.","parameters":{"subject1_percent":{"description":"Percentage of students who passed the first subject (e.g., 85% if Hindi).","type":"int"},"subject2_percent":{"description":"Percentage of students who passed the second subject (e.g., 80% if Urdu).","type":"int"},"passed_both_percent":{"description":"Percentage of students who passed both subjects.","type":"int"}}}]
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):